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Started by an SCM change
Running as SYSTEM
[EnvInject] - Loading node environment variables.
Building remotely on reynolds in workspace /jenkins/workspace/ESP_Coverage
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cleaning up /jenkins/workspace/ESP_Coverage/EGADS
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/util/evaluate.cpp
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/util/rational.cpp
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealD1_btest.gcda
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealD1_btest.gcno
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealD4_btest.gcda
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealD4_btest.gcno
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealS1_btest.gcda
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealS1_btest.gcno
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealS4_btest.gcda
Deleting /jenkins/workspace/ESP_Coverage/EGADS/trunk/src/SurrealS4_btest.gcno
Updating svn+ssh://acdl.mit.edu/home/svnroot/EGADS at revision '2020-06-01T01:55:08.189 -0400'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
A         trunk/docs/Motivation
A         trunk/docs/Motivation/BEAMERoptions.tex
AU        trunk/docs/Motivation/Motivation.pdf
A         trunk/docs/Motivation/Motivation.tex
A         trunk/docs/Motivation/beamercolorthemeesp.sty
AU        trunk/docs/Motivation/caps_logo.png
AU        trunk/docs/Motivation/cmpress
A         trunk/docs/Motivation/csmListing.tex
AU        trunk/docs/Motivation/esp_logo.png
A         trunk/docs/Motivation/figs
AU        trunk/docs/Motivation/figs/ChainRule.png
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AU        trunk/docs/Motivation/figs/bolt.png
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AU        trunk/docs/Motivation/figs/parametricViews.png
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U         trunk/config/macREADME.txt
U         trunk/include/wsserver.h
U         trunk/wvServer/libwebsockets.c
U         trunk/wvServer/sha-1.c
AU        trunk/wvServer/slint
U         trunk/src/egadsSBO.c
U         trunk/src/egadsTess.c
U         trunk/src/egadsGeom.cpp
U         trunk/src/egadsSpline.cpp
At revision 1317

Cleaning up /jenkins/workspace/ESP_Coverage/OpenCSM
Deleting /jenkins/workspace/ESP_Coverage/OpenCSM/trunk/data/basic/demo0b.step
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM at revision '2020-06-01T01:55:08.189 -0400'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
U         trunk/ToDo.txt
U         trunk/doc/ESP_QuickReference.pdf
U         trunk/doc/ESP_QuickReference.tex
AU        trunk/doc/esp_logo.png
A         trunk/doc/training_2020
A         trunk/doc/training_2020/lectures
A         trunk/doc/training_2020/lectures/session01
AU        trunk/doc/training_2020/lectures/session01/ESP_QuickReference_pg1.pdf
AU        trunk/doc/training_2020/lectures/session01/ESP_QuickReference_pg2.pdf
AU        trunk/doc/training_2020/lectures/session01/CanardFighter.png
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AU        trunk/doc/training_2020/lectures/session01/Glider_sheets.png
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AU        trunk/doc/training_2020/lectures/session01/Lander.png
AU        trunk/doc/training_2020/lectures/session01/bolt.png
AU        trunk/doc/training_2020/lectures/session01/bottle.png
A         trunk/doc/training_2020/lectures/session01.tex
A         trunk/doc/training_2020/lectures/Makefile
AU        trunk/doc/training_2020/lectures/cmpress
A         trunk/doc/training_2020/lectures/session02
AU        trunk/doc/training_2020/lectures/session02/Ubracket.png
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A         trunk/doc/training_2020/lectures/session02.tex
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AU        trunk/doc/training_2020/lectures/session03/wing3Waffle.png
A         trunk/doc/training_2020/lectures/session03.tex
A         trunk/doc/training_2020/lectures/session04.tex
A         trunk/doc/training_2020/lectures/session05
AU        trunk/doc/training_2020/lectures/session05/overlapping.png
AU        trunk/doc/training_2020/lectures/session05/rect_pat.png
AU        trunk/doc/training_2020/lectures/session05/round_pat.png
A         trunk/doc/training_2020/lectures/session05.tex
A         trunk/doc/training_2020/lectures/session06
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
A         trunk/doc/training_2020/lectures/session06/naca.png
A         trunk/doc/training_2020/lectures/session06/simple.png
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AU        trunk/doc/training_2020/lectures/session06/jack.png
AU        trunk/doc/training_2020/lectures/session06/reflectCone.png
AU        trunk/doc/training_2020/lectures/session06/scribeCyl.png
A         trunk/doc/training_2020/lectures/session06.tex
A         trunk/doc/training_2020/lectures/session07
AU        trunk/doc/training_2020/lectures/session07/Ubracket1_problem.png
AU        trunk/doc/training_2020/lectures/session07/Ubracket1_solution.png
AU        trunk/doc/training_2020/lectures/session07/Ubracket2_problem.png
AU        trunk/doc/training_2020/lectures/session07/Ubracket2_solution.png
AU        trunk/doc/training_2020/lectures/session07/angleSpacer_sketch.png
AU        trunk/doc/training_2020/lectures/session07/angleSpacer_solution.png
AU        trunk/doc/training_2020/lectures/session07/biconvex_arcs_problem.png
AU        trunk/doc/training_2020/lectures/session07/biconvex_arcs_solution.png
AU        trunk/doc/training_2020/lectures/session07/biconvex_spline_problem.png
AU        trunk/doc/training_2020/lectures/session07/biconvex_spline_solution.png
AU        trunk/doc/training_2020/lectures/session07/fuselage_problem.png
AU        trunk/doc/training_2020/lectures/session07/fuselage_solution.png
AU        trunk/doc/training_2020/lectures/session07/oval_problem.png
AU        trunk/doc/training_2020/lectures/session07/oval_solution.png
AU        trunk/doc/training_2020/lectures/session07/sketch.png
AU        trunk/doc/training_2020/lectures/session07/swivelBase_problem.png
AU        trunk/doc/training_2020/lectures/session07/swivelBase_solution.png
A         trunk/doc/training_2020/lectures/session07.tex
A         trunk/doc/training_2020/lectures/session08.tex
A         trunk/doc/training_2020/lectures/session09
AU        trunk/doc/training_2020/lectures/session09/CamberOML.png
AU        trunk/doc/training_2020/lectures/session09/Design2a.png
AU        trunk/doc/training_2020/lectures/session09/Design2b.png
AU        trunk/doc/training_2020/lectures/session09/ThickOML.png
AU        trunk/doc/training_2020/lectures/session09/bolt.png
AU        trunk/doc/training_2020/lectures/session09/boltDshaft.png
AU        trunk/doc/training_2020/lectures/session09/boltDslot.png
AU        trunk/doc/training_2020/lectures/session09/boltFhead.png
AU        trunk/doc/training_2020/lectures/session09/boltLshaft.png
AU        trunk/doc/training_2020/lectures/session09/boltSfact.png
AU        trunk/doc/training_2020/lectures/session09/boltThead.png
AU        trunk/doc/training_2020/lectures/session09/boltWhead.png
AU        trunk/doc/training_2020/lectures/session09/boltWslot.png
AU        trunk/doc/training_2020/lectures/session09/design1.png
AU        trunk/doc/training_2020/lectures/session09/geom4.png
AU        trunk/doc/training_2020/lectures/session09/geom7.png
AU        trunk/doc/training_2020/lectures/session09/grid4.png
AU        trunk/doc/training_2020/lectures/session09/grid7.png
A         trunk/doc/training_2020/lectures/session09.tex
A         trunk/doc/training_2020/lectures/session10.tex
A         trunk/doc/training_2020/lectures/BEAMERoptions.tex
A         trunk/doc/training_2020/lectures/beamercolorthemeesp.sty
AU        trunk/doc/training_2020/lectures/esp_logo.png
A         trunk/doc/training_2020/lectures/session04
AU        trunk/doc/training_2020/lectures/session04/editor.png
A         trunk/doc/training_2020/lectures/session08
AU        trunk/doc/training_2020/lectures/session08/iford.png
A         trunk/doc/training_2020/lectures/session10
AU        trunk/doc/training_2020/lectures/session10/transport.png
AU        trunk/doc/training_2020/lectures/session10/wing1.png
AU        trunk/doc/training_2020/lectures/session10/wing4.png
A         trunk/doc/training_2020/data
A         trunk/doc/training_2020/data/session10
A         trunk/doc/training_2020/data/session10/ffbox.udc
A         trunk/doc/training_2020/data/session10/capsHeader.udc
A         trunk/doc/training_2020/data/session10/capsViews.udc
A         trunk/doc/training_2020/data/session10/transport.csm
A         trunk/doc/training_2020/data/session10/viewCFDInviscid.udc
A         trunk/doc/training_2020/data/session10/viewCFDViscous.udc
A         trunk/doc/training_2020/data/session10/viewConcept.udc
A         trunk/doc/training_2020/data/session10/viewOmlStructure.udc
A         trunk/doc/training_2020/data/session10/viewStructure.udc
A         trunk/doc/training_2020/data/session10/viewVLM.udc
A         trunk/doc/training_2020/data/session10/wing1.csm
A         trunk/doc/training_2020/data/session10/wing2.csm
A         trunk/doc/training_2020/data/session10/wing3.csm
A         trunk/doc/training_2020/data/session10/wing4.csm
A         trunk/doc/training_2020/data/session05
A         trunk/doc/training_2020/data/session05/overlapping.csm
A         trunk/doc/training_2020/data/session06
A         trunk/doc/training_2020/data/session06/cutter.udc
A         trunk/doc/training_2020/data/session06/dumbbell.udc
A         trunk/doc/training_2020/data/session06/jack.csm
A         trunk/doc/training_2020/data/session06/mirrorDup.udc
A         trunk/doc/training_2020/data/session06/reflectCone.csm
A         trunk/doc/training_2020/data/session06/scribeCyl.csm
A         trunk/doc/training_2020/data/session08
A         trunk/doc/training_2020/data/session08/wingStruct.csm
A         trunk/doc/training_2020/data/session09
A         trunk/doc/training_2020/data/session09/simpleBlock.csm
A         trunk/doc/training_2020/data/session01
A         trunk/doc/training_2020/data/session01/bolt.csm
A         trunk/doc/training_2020/data/session01/bottle2.csm
A         trunk/doc/training_2020/data/session02
A         trunk/doc/training_2020/data/session02/Ubracket.csm
A         trunk/doc/training_2020/data/session02/block.csm
A         trunk/doc/training_2020/data/session03
A         trunk/doc/training_2020/data/session03/fuselage.csm
A         trunk/doc/training_2020/data/session03/wing.csm
A         trunk/doc/training_2020/data/session04
A         trunk/doc/training_2020/data/session04/box.csm
A         trunk/doc/training_2020/data/session07
A         trunk/doc/training_2020/data/session07/Ubracket1.csm
A         trunk/doc/training_2020/data/session07/Ubracket2.csm
A         trunk/doc/training_2020/data/session07/biconvex_arcs.csm
A         trunk/doc/training_2020/data/session07/biconvex_spline.csm
A         trunk/doc/training_2020/data/session07/fuselage.csm
A         trunk/doc/training_2020/data/session07/oval.csm
A         trunk/doc/training_2020/data/session07/swivelBase.csm
A         trunk/doc/training_2020/solutions
A         trunk/doc/training_2020/solutions/session05
A         trunk/doc/training_2020/solutions/session05/overlapping.csm
A         trunk/doc/training_2020/solutions/session05/rect_pat.csm
A         trunk/doc/training_2020/solutions/session05/round_pat.csm
A         trunk/doc/training_2020/solutions/session06
A         trunk/doc/training_2020/solutions/session06/mirrorDup.udc
A         trunk/doc/training_2020/solutions/session06/reflectCone.csm
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A         trunk/doc/training_2020/solutions/session08/wingStruct.csm
A         trunk/doc/training_2020/solutions/session01
A         trunk/doc/training_2020/solutions/session02
A         trunk/doc/training_2020/solutions/session02/Ubracket.csm
A         trunk/doc/training_2020/solutions/session02/block.csm
A         trunk/doc/training_2020/solutions/session03
A         trunk/doc/training_2020/solutions/session03/fuselage.csm
A         trunk/doc/training_2020/solutions/session03/wing.csm
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A         trunk/doc/training_2020/solutions/session07
A         trunk/doc/training_2020/solutions/session07/Ubracket1.csm
A         trunk/doc/training_2020/solutions/session07/Ubracket1_prog.csm
A         trunk/doc/training_2020/solutions/session07/Ubracket2.csm
A         trunk/doc/training_2020/solutions/session07/Ubracket2_prog.csm
A         trunk/doc/training_2020/solutions/session07/biconvex_arcs.csm
A         trunk/doc/training_2020/solutions/session07/biconvex_arcs_prog.csm
A         trunk/doc/training_2020/solutions/session07/biconvex_spline.csm
A         trunk/doc/training_2020/solutions/session07/biconvex_spline_prog.csm
A         trunk/doc/training_2020/solutions/session07/fuselage.csm
A         trunk/doc/training_2020/solutions/session07/fuselage_prog.csm
A         trunk/doc/training_2020/solutions/session07/oval.csm
A         trunk/doc/training_2020/solutions/session07/oval_prog.csm
A         trunk/doc/training_2020/solutions/session07/swivelBase.csm
A         trunk/doc/training_2020/solutions/session07/swivelBase_prog.csm
A         trunk/doc/training_2020/solutions/session09
A         trunk/doc/training_2020/solutions/session09/box.csm
A         trunk/doc/training_2020/syllabus.tex
A         trunk/doc/training_2020/syllabus.txt
D         trunk/data/training
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A         trunk/data/training/data
A         trunk/data/training/data/session01
A         trunk/data/training/data/session01/bolt.csm
A         trunk/data/training/data/session01/bottle2.csm
A         trunk/data/training/data/session01/verify_7.3.1
A         trunk/data/training/data/session01/verify_7.3.1/bolt.vfy
A         trunk/data/training/data/session01/verify_7.3.1/bottle2.vfy
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A         trunk/data/training/data/session02/Ubracket.csm
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A         trunk/data/training/data/session02/verify_7.3.1/Ubracket.vfy
A         trunk/data/training/data/session02/verify_7.3.1/block.vfy
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A         trunk/data/training/data/session04/verify_7.3.1/box.vfy
A         trunk/data/training/data/session05
A         trunk/data/training/data/session05/overlapping.csm
A         trunk/data/training/data/session05/verify_7.3.1
A         trunk/data/training/data/session05/verify_7.3.1/overlapping.vfy
A         trunk/data/training/data/session06
A         trunk/data/training/data/session06/cutter.udc
A         trunk/data/training/data/session06/dumbbell.udc
A         trunk/data/training/data/session06/jack.csm
A         trunk/data/training/data/session06/mirrorDup.udc
A         trunk/data/training/data/session06/reflectCone.csm
A         trunk/data/training/data/session06/scribeCyl.csm
A         trunk/data/training/data/session06/verify_7.3.1
A         trunk/data/training/data/session06/verify_7.3.1/jack.vfy
A         trunk/data/training/data/session06/verify_7.3.1/reflectCone.vfy
A         trunk/data/training/data/session06/verify_7.3.1/scribeCyl.vfy
A         trunk/data/training/data/session07
A         trunk/data/training/data/session07/Ubracket1.csm
A         trunk/data/training/data/session07/Ubracket2.csm
A         trunk/data/training/data/session07/biconvex_arcs.csm
A         trunk/data/training/data/session07/biconvex_spline.csm
A         trunk/data/training/data/session07/fuselage.csm
A         trunk/data/training/data/session07/oval.csm
A         trunk/data/training/data/session07/swivelBase.csm
A         trunk/data/training/data/session07/verify_7.3.1
A         trunk/data/training/data/session07/verify_7.3.1/Ubracket1.vfy
A         trunk/data/training/data/session07/verify_7.3.1/Ubracket2.vfy
A         trunk/data/training/data/session07/verify_7.3.1/biconvex_arcs.vfy
A         trunk/data/training/data/session07/verify_7.3.1/biconvex_spline.vfy
A         trunk/data/training/data/session07/verify_7.3.1/fuselage.vfy
A         trunk/data/training/data/session07/verify_7.3.1/oval.vfy
A         trunk/data/training/data/session07/verify_7.3.1/swivelBase.vfy
A         trunk/data/training/data/session08
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A         trunk/data/training/data/session08/verify_7.3.1/wingStruct.vfy
A         trunk/data/training/data/session08/wingStruct.csm
A         trunk/data/training/data/session09
A         trunk/data/training/data/session09/simpleBlock.csm
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A         trunk/data/training/data/session09/verify_7.3.1/simpleBlock.vfy
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A         trunk/data/training/data/session10/transport.csm
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A         trunk/data/training/data/session10/verify_7.3.1/transport.vfy
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A         trunk/data/training/data/session10/wing1.csm
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A         trunk/data/training/solutions/session02/block.csm
A         trunk/data/training/solutions/session02/verify_7.3.1
A         trunk/data/training/solutions/session02/verify_7.3.1/Ubracket.vfy
A         trunk/data/training/solutions/session02/verify_7.3.1/block.vfy
A         trunk/data/training/solutions/session03
A         trunk/data/training/solutions/session03/fuselage.csm
A         trunk/data/training/solutions/session03/verify_7.3.1
A         trunk/data/training/solutions/session03/verify_7.3.1/fuselage.vfy
A         trunk/data/training/solutions/session03/verify_7.3.1/wing.vfy
A         trunk/data/training/solutions/session03/wing.csm
A         trunk/data/training/solutions/session04
A         trunk/data/training/solutions/session04/box.csm
A         trunk/data/training/solutions/session04/verify_7.3.1
A         trunk/data/training/solutions/session04/verify_7.3.1/box.vfy
A         trunk/data/training/solutions/session05
A         trunk/data/training/solutions/session05/overlapping.csm
A         trunk/data/training/solutions/session05/rect_pat.csm
A         trunk/data/training/solutions/session05/round_pat.csm
A         trunk/data/training/solutions/session05/verify_7.3.1
A         trunk/data/training/solutions/session05/verify_7.3.1/overlapping.vfy
A         trunk/data/training/solutions/session05/verify_7.3.1/rect_pat.vfy
A         trunk/data/training/solutions/session05/verify_7.3.1/round_pat.vfy
A         trunk/data/training/solutions/session06
A         trunk/data/training/solutions/session06/mirrorDup.udc
A         trunk/data/training/solutions/session06/reflectCone.csm
A         trunk/data/training/solutions/session06/verify_7.3.1
A         trunk/data/training/solutions/session06/verify_7.3.1/reflectCone.vfy
A         trunk/data/training/solutions/session07
A         trunk/data/training/solutions/session07/Ubracket1.csm
A         trunk/data/training/solutions/session07/Ubracket1_prog.csm
A         trunk/data/training/solutions/session07/Ubracket2.csm
A         trunk/data/training/solutions/session07/Ubracket2_prog.csm
A         trunk/data/training/solutions/session07/biconvex_arcs.csm
A         trunk/data/training/solutions/session07/biconvex_arcs_prog.csm
A         trunk/data/training/solutions/session07/biconvex_spline.csm
A         trunk/data/training/solutions/session07/biconvex_spline_prog.csm
A         trunk/data/training/solutions/session07/fuselage.csm
A         trunk/data/training/solutions/session07/fuselage_prog.csm
A         trunk/data/training/solutions/session07/oval.csm
A         trunk/data/training/solutions/session07/oval_prog.csm
A         trunk/data/training/solutions/session07/swivelBase.csm
A         trunk/data/training/solutions/session07/swivelBase_prog.csm
A         trunk/data/training/solutions/session07/verify_7.3.1
A         trunk/data/training/solutions/session07/verify_7.3.1/Ubracket1.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/Ubracket1_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/Ubracket2.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/Ubracket2_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/biconvex_arcs.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/biconvex_arcs_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/biconvex_spline.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/biconvex_spline_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/fuselage.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/fuselage_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/oval.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/oval_prog.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/swivelBase.vfy
A         trunk/data/training/solutions/session07/verify_7.3.1/swivelBase_prog.vfy
A         trunk/data/training/solutions/session08
A         trunk/data/training/solutions/session08/verify_7.3.1
A         trunk/data/training/solutions/session08/verify_7.3.1/wingStruct.vfy
A         trunk/data/training/solutions/session08/wingStruct.csm
A         trunk/data/training/solutions/session09
A         trunk/data/training/solutions/session09/box.csm
A         trunk/data/training/solutions/session09/verify_7.3.1
A         trunk/data/training/solutions/session09/verify_7.3.1/box.vfy
U         trunk/src/Makefile.DARWIN64
U         trunk/src/udfGuide.c
U         trunk/src/ocsm.def
U         trunk/src/OpenCSM.c
U         trunk/src/serveCSM.c
U         trunk/ESP/ESP-help.html
At revision 1827

Cleaning up /jenkins/workspace/ESP_Coverage/JenkinsESP
Updating svn+ssh://acdl.mit.edu/home/svnroot/JenkinsESP at revision '2020-06-01T01:55:08.189 -0400'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
U         ESP_Regression.bat
U         ESP_Sanitize.sh
U         ESP_Valgrind.sh
U         ESPbfr.bat
U         ESPbfr.sh
U         RunRegression.sh
At revision 428

Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
No emails were triggered.
[ESP_Coverage] $ /bin/bash -xe /tmp/jenkins2594208667722167904.sh
+ bash -ex /jenkins/workspace/ESP_Coverage/JenkinsESP/ESP_Coverage.sh
+ export PATH=/home/jenkins/util/lcov/lcov-1.13/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+ PATH=/home/jenkins/util/lcov/lcov-1.13/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+ export EFCOMP=gfortran
+ EFCOMP=gfortran
+ export CASREV=6.8
+ CASREV=6.8
+ export ESP_ARCH=LINUX64
+ ESP_ARCH=LINUX64
+ export ESP_BLOC=/jenkins/workspace/ESP_Coverage/ESP/LINUX64
+ ESP_BLOC=/jenkins/workspace/ESP_Coverage/ESP/LINUX64
+ export ESP_ROOT=/jenkins/workspace/ESP_Coverage/ESP/LINUX64
+ ESP_ROOT=/jenkins/workspace/ESP_Coverage/ESP/LINUX64
+ AFLR_VERSION=16.23.8
+ export CASROOT=/home/jenkins/util/ESP/OpenCASCADE-6.8.1
+ CASROOT=/home/jenkins/util/ESP/OpenCASCADE-6.8.1
+ export CASARCH=.
+ CASARCH=.
+ export TETGEN=/home/jenkins/util/tetgen/tetgen1.5.0
+ TETGEN=/home/jenkins/util/tetgen/tetgen1.5.0
+ export AFLR=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ AFLR=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ export AFLR4=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ AFLR4=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ [[ -z '' ]]
+ export AFLR4=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ AFLR4=/home/jenkins/util/AFLR/aflr3_lib_16.23.8/
+ export AFLR_ARCH=Linux-x86-64
+ AFLR_ARCH=Linux-x86-64
+ export IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib
+ IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib
+ export IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm
+ IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm
+ export ESPFLAGS=--coverage
+ ESPFLAGS=--coverage
+ export ESPFLIBS=--coverage
+ ESPFLIBS=--coverage
+ export LD_LIBRARY_PATH=/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-6.8.1/lib:
+ LD_LIBRARY_PATH=/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-6.8.1/lib:
+ cd /jenkins/workspace/ESP_Coverage/
+ tar -xvf /jenkins/workspace/ESP_Coverage/JenkinsESP/ESPbfr.tgz
ESP/
ESP/.DS_Store
ESP/CYGWIN64/
ESP/DARWIN64/
ESP/LINUX64/
ESP/udunits/
ESP/WIN64/
ESP/WIN64/.DS_Store
ESP/WIN64/bin/
ESP/WIN64/include/
ESP/WIN64/lib/
ESP/WIN64/obj/
ESP/WIN64/test/
ESP/WIN64/lib/.DS_Store
ESP/WIN64/lib/expat.dll
ESP/WIN64/lib/libgcc_s_sjlj-1.dll
ESP/WIN64/lib/libquadmath-0.dll
ESP/WIN64/lib/libwinpthread-1.dll
ESP/WIN64/lib/nmb.dll
ESP/WIN64/lib/nmb.lib
ESP/WIN64/lib/udunits2.dll
ESP/WIN64/lib/udunits2.lib
ESP/WIN64/include/.DS_Store
ESP/WIN64/include/converter.h
ESP/WIN64/include/nmb.h
ESP/WIN64/include/udunits.h
ESP/WIN64/include/udunits2.h
ESP/WIN64/include/winhelpers/
ESP/WIN64/include/winhelpers/.DS_Store
ESP/WIN64/include/winhelpers/gettimeofday.h
ESP/WIN64/include/winhelpers/netdb.h
ESP/WIN64/include/winhelpers/strings.h
ESP/WIN64/include/winhelpers/sys/
ESP/WIN64/include/winhelpers/unistd.h
ESP/WIN64/include/winhelpers/websock-w32.h
ESP/WIN64/include/winhelpers/sys/time.h
ESP/WIN64/bin/ASTRO.D01
ESP/WIN64/bin/ASTRO.IDX
ESP/WIN64/bin/mastros.exe
ESP/udunits/udunits2-accepted.xml
ESP/udunits/udunits2-base.xml
ESP/udunits/udunits2-common.xml
ESP/udunits/udunits2-derived.xml
ESP/udunits/udunits2-prefixes.xml
ESP/udunits/udunits2.xml
ESP/LINUX64/.DS_Store
ESP/LINUX64/bin/
ESP/LINUX64/include/
ESP/LINUX64/lib/
ESP/LINUX64/obj/
ESP/LINUX64/test/
ESP/LINUX64/lib/.DS_Store
ESP/LINUX64/lib/libc3dio.a
ESP/LINUX64/lib/libCart3D.a
ESP/LINUX64/lib/libnmb.so
ESP/LINUX64/include/.DS_Store
ESP/LINUX64/include/c3dio/
ESP/LINUX64/include/libCart3D/
ESP/LINUX64/include/nmb.h
ESP/LINUX64/include/xddm/
ESP/LINUX64/include/xddm/xddm.c
ESP/LINUX64/include/xddm/xddm.h
ESP/LINUX64/include/xddm/xddmInternals.h
ESP/LINUX64/include/libCart3D/.DS_Store
ESP/LINUX64/include/libCart3D/basicTypes.h
ESP/LINUX64/include/libCart3D/bBox_stuff.h
ESP/LINUX64/include/libCart3D/c3d_global.h
ESP/LINUX64/include/libCart3D/c3d_timeout.h
ESP/LINUX64/include/libCart3D/cartCells.h
ESP/LINUX64/include/libCart3D/CaseInfo.h
ESP/LINUX64/include/libCart3D/ConvInfo.h
ESP/LINUX64/include/libCart3D/dualtime.h
ESP/LINUX64/include/libCart3D/earthBL_BC.h
ESP/LINUX64/include/libCart3D/encoding.h
ESP/LINUX64/include/libCart3D/geomStructures.h
ESP/LINUX64/include/libCart3D/geomTypes.h
ESP/LINUX64/include/libCart3D/GridInfo.h
ESP/LINUX64/include/libCart3D/gridStructures.h
ESP/LINUX64/include/libCart3D/hex.h
ESP/LINUX64/include/libCart3D/infoStructures.h
ESP/LINUX64/include/libCart3D/int64.h
ESP/LINUX64/include/libCart3D/IOinfo.h
ESP/LINUX64/include/libCart3D/limiters.h
ESP/LINUX64/include/libCart3D/map.h
ESP/LINUX64/include/libCart3D/memory_util.h
ESP/LINUX64/include/libCart3D/MGinfo.h
ESP/LINUX64/include/libCart3D/myLList.h
ESP/LINUX64/include/libCart3D/PostProcInfo.h
ESP/LINUX64/include/libCart3D/sensors.h
ESP/LINUX64/include/libCart3D/SFC.h
ESP/LINUX64/include/libCart3D/SolverInfo.h
ESP/LINUX64/include/libCart3D/stateVector.h
ESP/LINUX64/include/libCart3D/string_util.h
ESP/LINUX64/include/libCart3D/timer.h
ESP/LINUX64/include/libCart3D/utils_xml.h
ESP/LINUX64/include/libCart3D/vortexBC.h
ESP/LINUX64/include/c3dio/c3dio_icemcfd.h
ESP/LINUX64/include/c3dio/c3dio_lib.h
ESP/LINUX64/bin/ASTRO.D01
ESP/LINUX64/bin/ASTRO.IDX
ESP/LINUX64/bin/mastros.exe
ESP/DARWIN64/.DS_Store
ESP/DARWIN64/bin/
ESP/DARWIN64/include/
ESP/DARWIN64/lib/
ESP/DARWIN64/obj/
ESP/DARWIN64/test/
ESP/DARWIN64/lib/libc3dio.a
ESP/DARWIN64/lib/libCart3D.a
ESP/DARWIN64/lib/libgcc_s.1.dylib
ESP/DARWIN64/lib/libnmb.dylib
ESP/DARWIN64/lib/libquadmath.0.dylib
ESP/DARWIN64/lib/libudunits2.0.dylib
ESP/DARWIN64/lib/libudunits2.dylib
ESP/DARWIN64/include/.DS_Store
ESP/DARWIN64/include/c3dio/
ESP/DARWIN64/include/converter.h
ESP/DARWIN64/include/libCart3D/
ESP/DARWIN64/include/nmb.h
ESP/DARWIN64/include/udunits.h
ESP/DARWIN64/include/udunits2.h
ESP/DARWIN64/include/xddm/
ESP/DARWIN64/include/xddm/xddm.c
ESP/DARWIN64/include/xddm/xddm.h
ESP/DARWIN64/include/xddm/xddmInternals.h
ESP/DARWIN64/include/libCart3D/.DS_Store
ESP/DARWIN64/include/libCart3D/basicTypes.h
ESP/DARWIN64/include/libCart3D/bBox_stuff.h
ESP/DARWIN64/include/libCart3D/c3d_global.h
ESP/DARWIN64/include/libCart3D/c3d_timeout.h
ESP/DARWIN64/include/libCart3D/cartCells.h
ESP/DARWIN64/include/libCart3D/CaseInfo.h
ESP/DARWIN64/include/libCart3D/ConvInfo.h
ESP/DARWIN64/include/libCart3D/dualtime.h
ESP/DARWIN64/include/libCart3D/earthBL_BC.h
ESP/DARWIN64/include/libCart3D/encoding.h
ESP/DARWIN64/include/libCart3D/geomStructures.h
ESP/DARWIN64/include/libCart3D/geomTypes.h
ESP/DARWIN64/include/libCart3D/GridInfo.h
ESP/DARWIN64/include/libCart3D/gridStructures.h
ESP/DARWIN64/include/libCart3D/hex.h
ESP/DARWIN64/include/libCart3D/infoStructures.h
ESP/DARWIN64/include/libCart3D/int64.h
ESP/DARWIN64/include/libCart3D/IOinfo.h
ESP/DARWIN64/include/libCart3D/limiters.h
ESP/DARWIN64/include/libCart3D/map.h
ESP/DARWIN64/include/libCart3D/memory_util.h
ESP/DARWIN64/include/libCart3D/MGinfo.h
ESP/DARWIN64/include/libCart3D/myLList.h
ESP/DARWIN64/include/libCart3D/PostProcInfo.h
ESP/DARWIN64/include/libCart3D/sensors.h
ESP/DARWIN64/include/libCart3D/SFC.h
ESP/DARWIN64/include/libCart3D/SolverInfo.h
ESP/DARWIN64/include/libCart3D/stateVector.h
ESP/DARWIN64/include/libCart3D/string_util.h
ESP/DARWIN64/include/libCart3D/timer.h
ESP/DARWIN64/include/libCart3D/utils_xml.h
ESP/DARWIN64/include/libCart3D/vortexBC.h
ESP/DARWIN64/include/c3dio/c3dio_icemcfd.h
ESP/DARWIN64/include/c3dio/c3dio_lib.h
ESP/DARWIN64/bin/ASTRO.D01
ESP/DARWIN64/bin/ASTRO.IDX
ESP/DARWIN64/bin/mastros.exe
ESP/CYGWIN64/.DS_Store
ESP/CYGWIN64/bin/
ESP/CYGWIN64/include/
ESP/CYGWIN64/lib/
ESP/CYGWIN64/obj/
ESP/CYGWIN64/test/
ESP/CYGWIN64/lib/.DS_Store
ESP/CYGWIN64/lib/libgcc_s_sjlj-1.dll
ESP/CYGWIN64/lib/libquadmath-0.dll
ESP/CYGWIN64/lib/libwinpthread-1.dll
ESP/CYGWIN64/include/.DS_Store
ESP/CYGWIN64/bin/.DS_Store
ESP/CYGWIN64/bin/ASTRO.D01
ESP/CYGWIN64/bin/ASTRO.IDX
ESP/CYGWIN64/bin/mastros.exe
+ cd /jenkins/workspace/ESP_Coverage/EGADS/trunk/src
+ cp -r egadsAttrs.c egadsBase.c egadsExport.c egadsFit.c egadsMemory.c egadsQuads.c egadsRobust.c egadsSBO.c egadsSkinning.c egadsSolids.c egadsTess.c egadsTessInp.c egadsTris.c fgadsAttrs.c fgadsBase.c fgadsGeom.c fgadsHLevel.c fgadsMemory.c fgadsTess.c fgadsTopo.c fgv.c prmCfit.c prmGrid.c prmUV.c egadsClasses.h egadsInternals.h egadsOCC.h egadsSplineFit.h egadsSplineVels.h egadsStack.h egadsTris.h egadsCopy.cpp egadsGeom.cpp egadsHLevel.cpp egadsIO.cpp egadsSpline.cpp egadsSplineFit.cpp egadsTessSens.cpp egadsTopo.cpp Surreal/ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/
+ cp ../util/evaluate.c /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/evaluate.cpp
+ cp ../util/evaluate.c ../util/evaluate.cpp
+ cp ../util/evaluate.c evaluate.cpp
+ cp ../util/rational.c /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/rational.cpp
+ cp ../util/rational.c ../util/rational.cpp
+ cp ../util/rational.c rational.cpp
+ make
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealD1

SurrealD1_test_suite Complete!

g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealD4

SurrealD4_test_suite Complete!

g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealS1

SurrealS1_test_suite Complete!

g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealS4 -O -I. ../util/SurrealS4_btest.cpp
../util/SurrealS4_btest.cpp: In function ‘void multiply_deriv2()’:
../util/SurrealS4_btest.cpp:1253:23: note: variable tracking size limit exceeded with -fvar-tracking-assignments, retrying without
 BOOST_AUTO_TEST_CASE( multiply_deriv2 )
                       ^
../util/SurrealS4_btest.cpp:19:42: note: in definition of macro ‘BOOST_AUTO_TEST_CASE’
 #define BOOST_AUTO_TEST_CASE( fun ) void fun()
                                          ^
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SurrealS4

SurrealS4_test_suite Complete!

g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsGeom.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsGeom.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsHLevel.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsHLevel.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsTopo.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTopo.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsCopy.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsCopy.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsSpline.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSpline.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsIO.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsIO.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsSplineFit.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSplineFit.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation   -DREVISION=6.8  -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include \
	-I. egadsTessSens.cpp -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTessSens.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsBase.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsBase.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsMemory.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsMemory.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsAttrs.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsAttrs.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsTess.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTess.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsTessInp.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTessInp.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsTris.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTris.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsQuads.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsQuads.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsFit.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsFit.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsRobust.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsRobust.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsSBO.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSBO.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	prmCfit.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/prmCfit.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	prmGrid.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/prmGrid.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	prmUV.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/prmUV.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsExport.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsExport.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsSkinning.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSkinning.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8  -I../include -I../util \
	egadsSolids.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSolids.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -DLINUX64 -I../include ../util/emp.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/emp.o
cp ../util/evaluate.c evaluate.cpp
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8 -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include evaluate.cpp \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/evaluate.o
rm evaluate.cpp
cp ../util/rational.c rational.cpp
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8 -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include rational.cpp \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/rational.o
rm rational.cpp
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-6.8.1 -I../include -I../include -I../util \
	../util/regQuads.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/regQuads.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
(cd /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj; gcc -m64 -g --coverage -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so \
	egadsGeom.o egadsHLevel.o egadsTopo.o   egadsCopy.o   egadsSpline.o egadsIO.o   egadsSplineFit.o            egadsTessSens.o egadsBase.o egadsMemory.o egadsAttrs.o  egadsTess.o   egadsTessInp.o egadsTris.o egadsQuads.o  egadsFit.o    egadsRobust.o egadsSBO.o prmCfit.o   prmGrid.o     prmUV.o       egadsExport.o egadsSkinning.o egadsSolids.o emp.o evaluate.o rational.o regQuads.o \
	-L/home/jenkins/util/ESP/OpenCASCADE-6.8.1/./lib -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKPShape -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -lPTKernel -pthread -lm -lstdc++ )
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegadstatic.a
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegadstatic.a
(cd /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj; \
	ar rs /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegadstatic.a egadsBase.o egadsMemory.o egadsAttrs.o  egadsTess.o   egadsTessInp.o egadsTris.o egadsQuads.o  egadsFit.o    egadsRobust.o egadsSBO.o prmCfit.o   prmGrid.o     prmUV.o       egadsExport.o egadsSkinning.o egadsSolids.o egadsGeom.o egadsHLevel.o egadsTopo.o   egadsCopy.o   egadsSpline.o egadsIO.o   egadsSplineFit.o            egadsTessSens.o emp.o \
	evaluate.o rational.o regQuads.o ;  )
ar: creating /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegadstatic.a
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsBase.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsBase.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsMemory.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsMemory.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsAttrs.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsAttrs.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsTess.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsTess.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsHLevel.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsHLevel.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsGeom.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsGeom.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8  -I../include fgadsTopo.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fgadsTopo.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libfgads.a
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libfgads.a
(cd /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libfgads.a fgadsBase.o fgadsMemory.o fgadsAttrs.o  fgadsTess.o   fgadsHLevel.o fgadsGeom.o fgadsTopo.o;  )
ar: creating /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libfgads.a
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libemp.a
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libemp.a
(cd /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libemp.a emp.o;  )
ar: creating /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libemp.a
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/LINUX64
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/LINUX64
cp -p ../include/LINUX64 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/LINUX64
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.h
cp -p ../include/egads.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads_dot.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads_dot.h
cp -p ../include/egads_dot.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads_dot.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.inc
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.inc
cp -p ../include/egads.inc /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egads.inc
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsErrors.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsErrors.h
cp -p ../include/egadsErrors.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsErrors.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTypes.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTypes.h
cp -p ../include/egadsTypes.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTypes.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/emp.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/emp.h
cp -p ../include/emp.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/emp.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/prm.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/prm.h
cp -p ../include/prm.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/prm.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.h
cp -p ../include/wsserver.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.inc
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.inc
cp -p ../include/wsserver.inc /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsserver.inc
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsss.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsss.h
cp -p ../include/wsss.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/wsss.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTris.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTris.h
cp -p egadsTris.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsTris.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineFit.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineFit.h
cp -p egadsSplineFit.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineFit.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineVels.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineVels.h
cp -p egadsSplineVels.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsSplineVels.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsf90.inc
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsf90.inc
cp -p ../include/egadsf90.inc /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egadsf90.inc
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealD.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD_Lazy.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealD_Lazy.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD_Trad.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealD_Trad.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealS.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS_Lazy.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealS_Lazy.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS_Trad.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/SurrealS_Trad.h
mkdir -p /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal
cp Surreal/always_inline.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/Surreal/always_inline.h
+ cd /jenkins/workspace/ESP_Coverage/EGADS/trunk/wvServer
+ cp base64-decode.c browserMessage.c client-handshake.c extension.c extension-deflate-stream.c extension-x-google-mux.c fwv.c gettimeofday.c handshake.c libwebsockets.c md5.c parsers.c server.c sha-1.c websock-w32.c wv.c extension-deflate-stream.h extension-x-google-mux.h libwebsockets.h private-libwebsockets.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/
+ make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include base64-decode.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/base64-decode.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include handshake.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/handshake.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include client-handshake.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/client-handshake.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include libwebsockets.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/libwebsockets.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include extension-deflate-stream.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/extension-deflate-stream.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include md5.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/md5.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include extension-x-google-mux.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/extension-x-google-mux.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include parsers.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/parsers.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include extension.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/extension.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include sha-1.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sha-1.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include browserMessage.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/browserMessage.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include server.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/server.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include wv.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/wv.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fwv.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fwv.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libwsserver.a
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libwsserver.a
(cd /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libwsserver.a base64-decode.o handshake.o client-handshake.o libwebsockets.o extension-deflate-stream.o md5.o extension-x-google-mux.o parsers.o extension.o sha-1.o browserMessage.o server.o wv.o fwv.o;  )
ar: creating /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libwsserver.a
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -DSTANDALONE server.c \
	-I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/servertest.o
gcc -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/server /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/servertest.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver \
	-lpthread -lz -lm
+ cd /jenkins/workspace/ESP_Coverage/EGADS/trunk/test
++ ls addKnots.make agglom.make approx.make blend.make BSplineIGES.make chamfer.make closure.make CSys.make edge2WB.make edges.make egads2cart.make egads2ply.make egadsGeom_dot.make egadsHLevel_dot.make egadsSpline_dot.make egadsTopo_dot.make exportLite.make extrot.make fillet.make fit.make fitTri.make fullAttr.make fuseSheets.make GBO.make globalTess.make hollowFace.make hollow.make intersect.make makeCone.make makeFace3D.make makeLoop.make mapTess.make mofb.make mssb.make multiContext.make offset.make rebuild.make ref.make replace.make revolve.make ruled.make SBO.make scribe.make sew.make step.make sweep.make test.make tolerance.make union.make vAttr.make vCurvature.make vEto.make vFrame.make vGeom.make vQuad.make vTessInp.make vTess.make xform.make
+ for file in '`ls *.make`'
+ make -f addKnots.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include addKnots.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/addKnots.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/addKnots /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/addKnots.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f agglom.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include agglom.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/agglom.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/agglom /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/agglom.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib  -legads -lm
+ for file in '`ls *.make`'
+ make -f approx.make
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include approx.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/approx.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/approx /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/approx.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads \
	-legads  -lstdc++ --coverage
+ for file in '`ls *.make`'
+ make -f blend.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include blend.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/blend.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/blend /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/blend.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f BSplineIGES.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include BSplineIGES.c -o \
	/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/BSplineIGES.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/BSplineIGES /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/BSplineIGES.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f chamfer.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include chamfer.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/chamfer.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/chamfer /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/chamfer.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f closure.make
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include closure.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/closure.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/closure /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/closure.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads \
	-legads  -lstdc++ --coverage
+ for file in '`ls *.make`'
+ make -f CSys.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include CSys.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/CSys.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/CSys /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/CSys.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f edge2WB.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include edge2WB.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/edge2WB.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/edge2WB /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/edge2WB.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f edges.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include edges.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/edges.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/edges /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/edges.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f egads2cart.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include egads2cart.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egads2cart.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egads2cart /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egads2cart.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f egads2ply.make
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. egads2ply.cpp -std=c++11 \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egads2ply.o
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8 -I. tinyply.cpp -std=c++11 -w \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/tinyply.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egads2ply /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egads2ply.o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/tinyply.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f egadsGeom_dot.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include egadsGeom_dot.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsGeom_dot.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsGeom_dot /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsGeom_dot.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f egadsHLevel_dot.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include egadsHLevel_dot.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsHLevel_dot.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsHLevel_dot /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsHLevel_dot.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f egadsSpline_dot.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include egadsSpline_dot.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSpline_dot.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsSpline_dot /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsSpline_dot.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f egadsTopo_dot.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include egadsTopo_dot.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTopo_dot.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsTopo_dot /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/egadsTopo_dot.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f exportLite.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include ../src/egadsExport.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/exportLite.o -DSTANDALONE
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/exportLite /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/exportLite.o  \
	 -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f extrot.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include extrot.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/extrot.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/extrot /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/extrot.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f fillet.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fillet.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fillet.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/fillet /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fillet.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f fit.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fit.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fit.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/fit /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fit.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f fitTri.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fitTri.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fitTri.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/fitTri /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fitTri.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f fullAttr.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fullAttr.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fullAttr.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/fullAttr /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fullAttr.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
		 -lm
+ for file in '`ls *.make`'
+ make -f fuseSheets.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include fuseSheets.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fuseSheets.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/fuseSheets /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/fuseSheets.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f GBO.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include GBO.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/GBO.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/GBO /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/GBO.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f globalTess.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include globalTess.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/globalTess.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/globalTess /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/globalTess.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f hollowFace.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include hollowFace.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/hollowFace.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/hollowFace /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/hollowFace.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f hollow.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include hollow.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/hollow.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/hollow /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/hollow.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f intersect.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include intersect.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/intersect.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/intersect /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/intersect.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f makeCone.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include makeCone.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeCone.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/makeCone /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeCone.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f makeFace3D.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include makeFace3D.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeFace3D.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/makeFace3D /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeFace3D.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f makeLoop.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include makeLoop.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeLoop.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/makeLoop /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/makeLoop.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f mapTess.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include mapTess.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mapTess.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/mapTess /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mapTess.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f mofb.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include mofb.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mofb.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/mofb /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mofb.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f mssb.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include mssb.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mssb.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/mssb /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/mssb.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f multiContext.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include multiContext.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/multiContext.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/multiContext /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/multiContext.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-legads  -lm
+ for file in '`ls *.make`'
+ make -f offset.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include offset.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/offset.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/offset /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/offset.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f rebuild.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include rebuild.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/rebuild.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/rebuild /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/rebuild.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f ref.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include ref.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ref.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/ref /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ref.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f replace.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include replace.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/replace.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/replace /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/replace.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f revolve.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include revolve.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/revolve.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/revolve /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/revolve.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f ruled.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include ruled.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ruled.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/ruled /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ruled.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f SBO.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include SBO.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SBO.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/SBO /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/SBO.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f scribe.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include scribe.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/scribe.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/scribe /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/scribe.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f sew.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include sew.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sew.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/sew /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sew.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f step.make
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include step.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/step.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/step /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/step.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads -legads \
	 -lstdc++ --coverage
+ for file in '`ls *.make`'
+ make -f sweep.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include sweep.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sweep.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/sweep /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sweep.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ for file in '`ls *.make`'
+ make -f test.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include testc.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/testc.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/testc /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/testc.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include testf.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/testf.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/testf /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/testf.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads -legads \
	 -lstdc++ --coverage
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include parsec.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/parsec.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/parsec /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/parsec.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include parsef.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/parsef.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/parsef /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/parsef.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads -legads \
	 -lstdc++ --coverage
+ for file in '`ls *.make`'
+ make -f tolerance.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include tolerance.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/tolerance.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/tolerance /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/tolerance.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads \
	 -lm
+ for file in '`ls *.make`'
+ make -f union.make
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include union.f -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/union.o
gfortran -m64 -g  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/union /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/union.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lfgads -legads \
	 -lstdc++ --coverage
+ for file in '`ls *.make`'
+ make -f vAttr.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vAttr.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vAttr.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vAttr /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vAttr.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vCurvature.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vCurvature.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vCurvature.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vCurvature /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vCurvature.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vEto.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vEto.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vEto.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vEto /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vEto.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vFrame.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vFrame.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vFrame.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vFrame /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vFrame.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vGeom.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vGeom.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vGeom.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vGeom /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vGeom.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads \
	-lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vQuad.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vQuad.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vQuad.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vQuad /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vQuad.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vTessInp.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vTessInp.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vTessInp.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vTessInp /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vTessInp.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f vTess.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include vTess.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vTess.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include ../util/retessFaces.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/retessFaces.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vTesstatic /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/retessFaces.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legadstatic -L/home/jenkins/util/ESP/OpenCASCADE-6.8.1/./lib -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKPShape -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -lPTKernel -pthread -lm \
	-lpthread -lz  -lm
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/vTess /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/retessFaces.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz  -lm
+ for file in '`ls *.make`'
+ make -f xform.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include xform.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/xform.o
g++ -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/xform /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/xform.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads  -lm
+ cp egads2ply.cpp tinyply.cpp addKnots.c agglom.c blend.c BSplineIGES.c chamfer.c CSys.c edge2WB.c edges.c egads2cart.c egadsGeom_dot.c egadsHLevel_dot.c egadsSpline_dot.c egadsTopo_dot.c extrot.c fillet.c fit.c fitTri.c fullAttr.c fuseSheets.c GBO.c globalTess.c hollow.c hollowFace.c intersect.c makeCone.c makeFace3D.c makeLoop.c mapTess.c mofb.c mssb.c multiContext.c offset.c parsec.c rebuild.c ref.c replace.c revolve.c ruled.c SBO.c scribe.c sew.c sweep.c testc.c tolerance.c vAttr.c vCurvature.c vEto.c vFrame.c vGeom.c vQuad.c vTess.c vTessInp.c xform.c tinyply.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/
+ cd /jenkins/workspace/ESP_Coverage/OpenCSM/trunk/src
+ cp buildCSM.c compareVerify.c eggPDT2.c fun3dCSM.c gmgwCSM.c gridCSM.c liteCSM.c matchCSM.c OpenCSM.c OpenCSMtcl.c parka.c sensCSM.c serveCSM.c tessCSM.c udfCatmull.c udfCompare.c udfCreateBEM.c udfCreatePoly.c udfDroop.c udfEditAttr.c udfFlend.c udfGanged.c udfGuide.c udfMatchBodys.c udfPrintBbox.c udfPrintBrep.c udfStiffener.c udfSurfGrid.c udfTile2.c udfTile.c udpBezier.c udpBiconvex.c udpBox.c udp.c udpCsm.c udpEllipse.c udpFitcurve.c udpFreeform.c udpHex.c udpHubWedge.c udpImport.c udpKulfan.c udpLevelset.c udpNaca456.c udpNaca.c udpNurbbody.c udpPod.c udpPoly.c udpRadwaf.c udpSample.c udpSew.c udpStag.c udpSupell.c udpTblade.c udpUtilities.c udpWaffle.c vsp2csm.c common.h egg.h OpenCSM.h OpenCSMtcl.h udp.h udpUtilities.h udpParsec.cpp naca456.f90 Tblade3/3dbgb_driver.f90 Tblade3/3dbgb.f90 Tblade3/airfoiltypes.f90 Tblade3/bladegen.f90 Tblade3/bladestack.f90 Tblade3/bspline3.f90 Tblade3/bsplinecam.f90 Tblade3/cubicspline.f90 Tblade3/errors.f90 Tblade3/file_operations.f90 Tblade3/funcNsubs.f90 Tblade3/globvar.f90 Tblade3/lespline.f90 Tblade3/lesting.f90 Tblade3/readinput.f90 Tblade3/spanwise_variation.f90 Tblade3/spline.f90 Tblade3/splinethick.f90 Tblade3/techop.f90 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/
+ make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. serveCSM.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/serveCSM.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. OpenCSM.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/OpenCSM.o
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udp.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udp.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so \
	/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/OpenCSM.o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udp.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads -ldl -lm
gcc -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/serveCSM.o  -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -lwsserver -legads -lpthread -lz -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. sensCSM.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sensCSM.o
gcc -m64 -g --coverage -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/sensCSM.o  -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpBezier.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBezier.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/bezier.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/bezier.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/bezier.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBezier.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpBiconvex.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBiconvex.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/biconvex.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/biconvex.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/biconvex.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBiconvex.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpBox.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBox.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/box.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/box.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/box.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpBox.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfCatmull.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCatmull.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/catmull.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/catmull.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/catmull.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCatmull.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfCompare.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCompare.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/compare.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/compare.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/compare.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCompare.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfCreateBEM.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCreateBEM.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createBEM.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createBEM.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createBEM.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCreateBEM.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfCreatePoly.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCreatePoly.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createPoly.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createPoly.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/createPoly.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfCreatePoly.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpCsm.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpCsm.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/csm.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/csm.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/csm.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpCsm.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfDroop.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfDroop.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/droop.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/droop.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/droop.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfDroop.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfEditAttr.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfEditAttr.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/editAttr.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/editAttr.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/editAttr.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfEditAttr.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpEllipse.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpEllipse.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpEllipse.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpFitcurve.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpFitcurve.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/fitcurve.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/fitcurve.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/fitcurve.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpFitcurve.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpFreeform.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpFreeform.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/freeform.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/freeform.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/freeform.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpFreeform.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfFlend.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfFlend.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/flend.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/flend.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/flend.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfFlend.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfGanged.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfGanged.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ganged.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ganged.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ganged.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfGanged.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfGuide.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfGuide.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/guide.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/guide.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/guide.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfGuide.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfMatchBodys.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfMatchBodys.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/matchBodys.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/matchBodys.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/matchBodys.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfMatchBodys.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpHex.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpHex.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/hex.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/hex.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/hex.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpHex.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpImport.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpImport.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/import.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/import.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/import.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpImport.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpKulfan.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpKulfan.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/kulfan.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/kulfan.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/kulfan.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpKulfan.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpNaca.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNaca.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNaca.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpNurbbody.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNurbbody.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/nurbbody.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/nurbbody.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/nurbbody.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNurbbody.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
g++ -m64 -g --coverage -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation  -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpParsec.cpp \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpParsec.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/parsec.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/parsec.so
g++ -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/parsec.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpParsec.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpPod.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpPod.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/pod.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/pod.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/pod.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpPod.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpPoly.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpPoly.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/poly.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/poly.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/poly.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpPoly.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfPrintBbox.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfPrintBbox.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBbox.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBbox.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBbox.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfPrintBbox.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfPrintBrep.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfPrintBrep.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBrep.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBrep.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/printBrep.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfPrintBrep.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpRadwaf.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpRadwaf.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/radwaf.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/radwaf.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/radwaf.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpRadwaf.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpSample.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSample.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sample.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sample.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sample.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSample.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpSew.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSew.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sew.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sew.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/sew.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSew.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpStag.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpStag.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stag.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stag.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stag.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpStag.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udfStiffener.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfStiffener.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stiffener.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stiffener.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/stiffener.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfStiffener.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpSupell.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSupell.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/supell.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/supell.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/supell.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpSupell.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpWaffle.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpWaffle.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/waffle.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/waffle.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/waffle.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpWaffle.o \
	-L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. eggPDT2.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/eggPDT2.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/PDT2.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/PDT2.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/PDT2.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/eggPDT2.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib \
	-legads -lm
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. udpNaca456.c \
	-o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNaca456.o
gfortran -m64 -g  -c -O -fPIC -frecursive -fcray-pointer naca456.f90 -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/naca456.o -J /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca456.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca456.so
gfortran -m64 -g  -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/naca456.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udpNaca456.o \
	/jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/naca456.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -locsm -legads -lm --coverage
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/OpenCSM.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/OpenCSM.h
cp -p OpenCSM.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/OpenCSM.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/common.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/common.h
cp -p common.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/common.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udp.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udp.h
cp -p udp.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udp.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egg.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egg.h
cp -p egg.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/egg.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.h
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.h
cp -p udpUtilities.h /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.h
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.c
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.c
cp -p udpUtilities.c /jenkins/workspace/ESP_Coverage/ESP/LINUX64/include/udpUtilities.c
+ make -f udfTile.make
gcc -m64 -g --coverage -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=6.8 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/jenkins/workspace/ESP_Coverage/ESP/LINUX64/include -I. -I/home/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfTile.o
touch /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/tile.so
rm /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/tile.so
gcc -m64 -g --coverage -shared -Wl,-no-undefined  -o /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/tile.so /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/udfTile.o -L/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib -legads -locsm -L/home/jenkins/util/ESP/IRIT/irit-linux/lib -lIritExtLib  -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib -lIritExtLib  -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib  -lm
+ ln -s /jenkins/workspace/ESP_Coverage/OpenCSM/trunk/udc /jenkins/workspace/ESP_Coverage/ESP/LINUX64
+ mkdir /jenkins/workspace/ESP_Coverage/ESP/test
+ cd /jenkins/workspace/ESP_Coverage/ESP/test
++ sort -f
++ ls ../../OpenCSM/trunk/data/basic/assembly1.csm ../../OpenCSM/trunk/data/basic/assembly2.csm ../../OpenCSM/trunk/data/basic/assembly_cylinder.csm ../../OpenCSM/trunk/data/basic/assembly_frustrum.csm ../../OpenCSM/trunk/data/basic/assembly_hemisphere.csm ../../OpenCSM/trunk/data/basic/atTest.csm ../../OpenCSM/trunk/data/basic/attrDelete.csm ../../OpenCSM/trunk/data/basic/attrDemo.csm ../../OpenCSM/trunk/data/basic/attribute2.csm ../../OpenCSM/trunk/data/basic/attribute3.csm ../../OpenCSM/trunk/data/basic/attribute4.csm ../../OpenCSM/trunk/data/basic/attribute5.csm ../../OpenCSM/trunk/data/basic/attribute6a.csm ../../OpenCSM/trunk/data/basic/attribute6b.csm ../../OpenCSM/trunk/data/basic/attribute6c.csm ../../OpenCSM/trunk/data/basic/attribute7a.csm ../../OpenCSM/trunk/data/basic/attribute7b.csm ../../OpenCSM/trunk/data/basic/attribute.csm ../../OpenCSM/trunk/data/basic/bad.csm ../../OpenCSM/trunk/data/basic/bbox.csm ../../OpenCSM/trunk/data/basic/bemTest1.csm ../../OpenCSM/trunk/data/basic/bemTest2.csm ../../OpenCSM/trunk/data/basic/bemTest3.csm ../../OpenCSM/trunk/data/basic/bezier1.csm ../../OpenCSM/trunk/data/basic/bezier2.csm ../../OpenCSM/trunk/data/basic/bezier3.csm ../../OpenCSM/trunk/data/basic/bezier4.csm ../../OpenCSM/trunk/data/basic/bezier5.csm ../../OpenCSM/trunk/data/basic/bezier6.csm ../../OpenCSM/trunk/data/basic/bezier7a.csm ../../OpenCSM/trunk/data/basic/bezier7b.csm ../../OpenCSM/trunk/data/basic/bezier7c.csm ../../OpenCSM/trunk/data/basic/bezier7d.csm ../../OpenCSM/trunk/data/basic/bezier7e.csm ../../OpenCSM/trunk/data/basic/bezier7f.csm ../../OpenCSM/trunk/data/basic/biconvex.csm ../../OpenCSM/trunk/data/basic/blend10a.csm ../../OpenCSM/trunk/data/basic/blend10b.csm ../../OpenCSM/trunk/data/basic/blend10c.csm ../../OpenCSM/trunk/data/basic/blend10d.csm ../../OpenCSM/trunk/data/basic/blend10e.csm ../../OpenCSM/trunk/data/basic/blend10f.csm ../../OpenCSM/trunk/data/basic/blend10g.csm ../../OpenCSM/trunk/data/basic/blend10h.csm ../../OpenCSM/trunk/data/basic/blend10i.csm ../../OpenCSM/trunk/data/basic/blend10j.csm ../../OpenCSM/trunk/data/basic/blend10k.csm ../../OpenCSM/trunk/data/basic/blend10l.csm ../../OpenCSM/trunk/data/basic/blend10m.csm ../../OpenCSM/trunk/data/basic/blend10n.csm ../../OpenCSM/trunk/data/basic/blend10o.csm ../../OpenCSM/trunk/data/basic/blend10p.csm ../../OpenCSM/trunk/data/basic/blend11a.csm ../../OpenCSM/trunk/data/basic/blend11b.csm ../../OpenCSM/trunk/data/basic/blend11c.csm ../../OpenCSM/trunk/data/basic/blend11d.csm ../../OpenCSM/trunk/data/basic/blend11e.csm ../../OpenCSM/trunk/data/basic/blend11f.csm ../../OpenCSM/trunk/data/basic/blend11g.csm ../../OpenCSM/trunk/data/basic/blend11h.csm ../../OpenCSM/trunk/data/basic/blend11i.csm ../../OpenCSM/trunk/data/basic/blend11j.csm ../../OpenCSM/trunk/data/basic/blend11k.csm ../../OpenCSM/trunk/data/basic/blend11l.csm ../../OpenCSM/trunk/data/basic/blend11m.csm ../../OpenCSM/trunk/data/basic/blend11n.csm ../../OpenCSM/trunk/data/basic/blend11o.csm ../../OpenCSM/trunk/data/basic/blend11p.csm ../../OpenCSM/trunk/data/basic/blend12.csm ../../OpenCSM/trunk/data/basic/blend13b00b.csm ../../OpenCSM/trunk/data/basic/blend13b00r.csm ../../OpenCSM/trunk/data/basic/blend13b00s.csm ../../OpenCSM/trunk/data/basic/blend13b01b.csm ../../OpenCSM/trunk/data/basic/blend13b01r.csm ../../OpenCSM/trunk/data/basic/blend13b01s.csm ../../OpenCSM/trunk/data/basic/blend13b02b.csm ../../OpenCSM/trunk/data/basic/blend13b02r.csm ../../OpenCSM/trunk/data/basic/blend13b02s.csm ../../OpenCSM/trunk/data/basic/blend13b10b.csm ../../OpenCSM/trunk/data/basic/blend13b10r.csm ../../OpenCSM/trunk/data/basic/blend13b10s.csm ../../OpenCSM/trunk/data/basic/blend13b11b.csm ../../OpenCSM/trunk/data/basic/blend13b11r.csm ../../OpenCSM/trunk/data/basic/blend13b11s.csm ../../OpenCSM/trunk/data/basic/blend13b12b.csm ../../OpenCSM/trunk/data/basic/blend13b12r.csm ../../OpenCSM/trunk/data/basic/blend13b12s.csm ../../OpenCSM/trunk/data/basic/blend13b20b.csm ../../OpenCSM/trunk/data/basic/blend13b20r.csm ../../OpenCSM/trunk/data/basic/blend13b20s.csm ../../OpenCSM/trunk/data/basic/blend13b21b.csm ../../OpenCSM/trunk/data/basic/blend13b21r.csm ../../OpenCSM/trunk/data/basic/blend13b21s.csm ../../OpenCSM/trunk/data/basic/blend13b22b.csm ../../OpenCSM/trunk/data/basic/blend13b22r.csm ../../OpenCSM/trunk/data/basic/blend13b22s.csm ../../OpenCSM/trunk/data/basic/blend13r00b.csm ../../OpenCSM/trunk/data/basic/blend13r00r.csm ../../OpenCSM/trunk/data/basic/blend13r00s.csm ../../OpenCSM/trunk/data/basic/blend13r01b.csm ../../OpenCSM/trunk/data/basic/blend13r01r.csm ../../OpenCSM/trunk/data/basic/blend13r01s.csm ../../OpenCSM/trunk/data/basic/blend13r02b.csm ../../OpenCSM/trunk/data/basic/blend13r02r.csm ../../OpenCSM/trunk/data/basic/blend13r02s.csm ../../OpenCSM/trunk/data/basic/blend13r10b.csm ../../OpenCSM/trunk/data/basic/blend13r10r.csm ../../OpenCSM/trunk/data/basic/blend13r10s.csm ../../OpenCSM/trunk/data/basic/blend13r11b.csm ../../OpenCSM/trunk/data/basic/blend13r11r.csm ../../OpenCSM/trunk/data/basic/blend13r11s.csm ../../OpenCSM/trunk/data/basic/blend13r12b.csm ../../OpenCSM/trunk/data/basic/blend13r12r.csm ../../OpenCSM/trunk/data/basic/blend13r12s.csm ../../OpenCSM/trunk/data/basic/blend13r20b.csm ../../OpenCSM/trunk/data/basic/blend13r20r.csm ../../OpenCSM/trunk/data/basic/blend13r20s.csm ../../OpenCSM/trunk/data/basic/blend13r21b.csm ../../OpenCSM/trunk/data/basic/blend13r21r.csm ../../OpenCSM/trunk/data/basic/blend13r21s.csm ../../OpenCSM/trunk/data/basic/blend13r22b.csm ../../OpenCSM/trunk/data/basic/blend13r22r.csm ../../OpenCSM/trunk/data/basic/blend13r22s.csm ../../OpenCSM/trunk/data/basic/blend13s00b.csm ../../OpenCSM/trunk/data/basic/blend13s00r.csm ../../OpenCSM/trunk/data/basic/blend13s00s.csm ../../OpenCSM/trunk/data/basic/blend13s01b.csm ../../OpenCSM/trunk/data/basic/blend13s01r.csm ../../OpenCSM/trunk/data/basic/blend13s01s.csm ../../OpenCSM/trunk/data/basic/blend13s02b.csm ../../OpenCSM/trunk/data/basic/blend13s02r.csm ../../OpenCSM/trunk/data/basic/blend13s02s.csm ../../OpenCSM/trunk/data/basic/blend13s10b.csm ../../OpenCSM/trunk/data/basic/blend13s10r.csm ../../OpenCSM/trunk/data/basic/blend13s10s.csm ../../OpenCSM/trunk/data/basic/blend13s11b.csm ../../OpenCSM/trunk/data/basic/blend13s11r.csm ../../OpenCSM/trunk/data/basic/blend13s11s.csm ../../OpenCSM/trunk/data/basic/blend13s12b.csm ../../OpenCSM/trunk/data/basic/blend13s12r.csm ../../OpenCSM/trunk/data/basic/blend13s12s.csm ../../OpenCSM/trunk/data/basic/blend13s20b.csm ../../OpenCSM/trunk/data/basic/blend13s20r.csm ../../OpenCSM/trunk/data/basic/blend13s20s.csm ../../OpenCSM/trunk/data/basic/blend13s21b.csm ../../OpenCSM/trunk/data/basic/blend13s21r.csm ../../OpenCSM/trunk/data/basic/blend13s21s.csm ../../OpenCSM/trunk/data/basic/blend13s22b.csm ../../OpenCSM/trunk/data/basic/blend13s22r.csm ../../OpenCSM/trunk/data/basic/blend13s22s.csm ../../OpenCSM/trunk/data/basic/blend14b00b.csm ../../OpenCSM/trunk/data/basic/blend14b00r.csm ../../OpenCSM/trunk/data/basic/blend14b00s.csm ../../OpenCSM/trunk/data/basic/blend14b01b.csm ../../OpenCSM/trunk/data/basic/blend14b01r.csm ../../OpenCSM/trunk/data/basic/blend14b01s.csm ../../OpenCSM/trunk/data/basic/blend14b02b.csm ../../OpenCSM/trunk/data/basic/blend14b02r.csm ../../OpenCSM/trunk/data/basic/blend14b02s.csm ../../OpenCSM/trunk/data/basic/blend14b10b.csm ../../OpenCSM/trunk/data/basic/blend14b10r.csm ../../OpenCSM/trunk/data/basic/blend14b10s.csm ../../OpenCSM/trunk/data/basic/blend14b11b.csm ../../OpenCSM/trunk/data/basic/blend14b11r.csm ../../OpenCSM/trunk/data/basic/blend14b11s.csm ../../OpenCSM/trunk/data/basic/blend14b12b.csm ../../OpenCSM/trunk/data/basic/blend14b12r.csm ../../OpenCSM/trunk/data/basic/blend14b12s.csm ../../OpenCSM/trunk/data/basic/blend14b20b.csm ../../OpenCSM/trunk/data/basic/blend14b20r.csm ../../OpenCSM/trunk/data/basic/blend14b20s.csm ../../OpenCSM/trunk/data/basic/blend14b21b.csm ../../OpenCSM/trunk/data/basic/blend14b21r.csm ../../OpenCSM/trunk/data/basic/blend14b21s.csm ../../OpenCSM/trunk/data/basic/blend14b22b.csm ../../OpenCSM/trunk/data/basic/blend14b22r.csm ../../OpenCSM/trunk/data/basic/blend14b22s.csm ../../OpenCSM/trunk/data/basic/blend14r00b.csm ../../OpenCSM/trunk/data/basic/blend14r00r.csm ../../OpenCSM/trunk/data/basic/blend14r00s.csm ../../OpenCSM/trunk/data/basic/blend14r01b.csm ../../OpenCSM/trunk/data/basic/blend14r01r.csm ../../OpenCSM/trunk/data/basic/blend14r01s.csm ../../OpenCSM/trunk/data/basic/blend14r02b.csm ../../OpenCSM/trunk/data/basic/blend14r02r.csm ../../OpenCSM/trunk/data/basic/blend14r02s.csm ../../OpenCSM/trunk/data/basic/blend14r10b.csm ../../OpenCSM/trunk/data/basic/blend14r10r.csm ../../OpenCSM/trunk/data/basic/blend14r10s.csm ../../OpenCSM/trunk/data/basic/blend14r11b.csm ../../OpenCSM/trunk/data/basic/blend14r11r.csm ../../OpenCSM/trunk/data/basic/blend14r11s.csm ../../OpenCSM/trunk/data/basic/blend14r12b.csm ../../OpenCSM/trunk/data/basic/blend14r12r.csm ../../OpenCSM/trunk/data/basic/blend14r12s.csm ../../OpenCSM/trunk/data/basic/blend14r20b.csm ../../OpenCSM/trunk/data/basic/blend14r20r.csm ../../OpenCSM/trunk/data/basic/blend14r20s.csm ../../OpenCSM/trunk/data/basic/blend14r21b.csm ../../OpenCSM/trunk/data/basic/blend14r21r.csm ../../OpenCSM/trunk/data/basic/blend14r21s.csm ../../OpenCSM/trunk/data/basic/blend14r22b.csm ../../OpenCSM/trunk/data/basic/blend14r22r.csm ../../OpenCSM/trunk/data/basic/blend14r22s.csm ../../OpenCSM/trunk/data/basic/blend14s00b.csm ../../OpenCSM/trunk/data/basic/blend14s00r.csm ../../OpenCSM/trunk/data/basic/blend14s00s.csm ../../OpenCSM/trunk/data/basic/blend14s01b.csm ../../OpenCSM/trunk/data/basic/blend14s01r.csm ../../OpenCSM/trunk/data/basic/blend14s01s.csm ../../OpenCSM/trunk/data/basic/blend14s02b.csm ../../OpenCSM/trunk/data/basic/blend14s02r.csm ../../OpenCSM/trunk/data/basic/blend14s02s.csm ../../OpenCSM/trunk/data/basic/blend14s10b.csm ../../OpenCSM/trunk/data/basic/blend14s10r.csm ../../OpenCSM/trunk/data/basic/blend14s10s.csm ../../OpenCSM/trunk/data/basic/blend14s11b.csm ../../OpenCSM/trunk/data/basic/blend14s11r.csm ../../OpenCSM/trunk/data/basic/blend14s11s.csm ../../OpenCSM/trunk/data/basic/blend14s12b.csm ../../OpenCSM/trunk/data/basic/blend14s12r.csm ../../OpenCSM/trunk/data/basic/blend14s12s.csm ../../OpenCSM/trunk/data/basic/blend14s20b.csm ../../OpenCSM/trunk/data/basic/blend14s20r.csm ../../OpenCSM/trunk/data/basic/blend14s20s.csm ../../OpenCSM/trunk/data/basic/blend14s21b.csm ../../OpenCSM/trunk/data/basic/blend14s21r.csm ../../OpenCSM/trunk/data/basic/blend14s21s.csm ../../OpenCSM/trunk/data/basic/blend14s22b.csm ../../OpenCSM/trunk/data/basic/blend14s22r.csm ../../OpenCSM/trunk/data/basic/blend14s22s.csm ../../OpenCSM/trunk/data/basic/blend15a.csm ../../OpenCSM/trunk/data/basic/blend15b.csm ../../OpenCSM/trunk/data/basic/blend16a.csm ../../OpenCSM/trunk/data/basic/blend16b.csm ../../OpenCSM/trunk/data/basic/blend16c.csm ../../OpenCSM/trunk/data/basic/blend17a.csm ../../OpenCSM/trunk/data/basic/blend17b.csm ../../OpenCSM/trunk/data/basic/blend17c.csm ../../OpenCSM/trunk/data/basic/blend17d.csm ../../OpenCSM/trunk/data/basic/blend18.csm ../../OpenCSM/trunk/data/basic/blend1bb.csm ../../OpenCSM/trunk/data/basic/blend1br.csm ../../OpenCSM/trunk/data/basic/blend1bs.csm ../../OpenCSM/trunk/data/basic/blend1.csm ../../OpenCSM/trunk/data/basic/blend1ff.csm ../../OpenCSM/trunk/data/basic/blend1rb.csm ../../OpenCSM/trunk/data/basic/blend1rr.csm ../../OpenCSM/trunk/data/basic/blend1rs.csm ../../OpenCSM/trunk/data/basic/blend1sb.csm ../../OpenCSM/trunk/data/basic/blend1sr.csm ../../OpenCSM/trunk/data/basic/blend1ss.csm ../../OpenCSM/trunk/data/basic/blend2bb.csm ../../OpenCSM/trunk/data/basic/blend2br.csm ../../OpenCSM/trunk/data/basic/blend2bs.csm ../../OpenCSM/trunk/data/basic/blend2.csm ../../OpenCSM/trunk/data/basic/blend2ff.csm ../../OpenCSM/trunk/data/basic/blend2rb.csm ../../OpenCSM/trunk/data/basic/blend2rr.csm ../../OpenCSM/trunk/data/basic/blend2rs.csm ../../OpenCSM/trunk/data/basic/blend2sb.csm ../../OpenCSM/trunk/data/basic/blend2sr.csm ../../OpenCSM/trunk/data/basic/blend2ss.csm ../../OpenCSM/trunk/data/basic/blend3bb.csm ../../OpenCSM/trunk/data/basic/blend3br.csm ../../OpenCSM/trunk/data/basic/blend3bs.csm ../../OpenCSM/trunk/data/basic/blend3.csm ../../OpenCSM/trunk/data/basic/blend3ff.csm ../../OpenCSM/trunk/data/basic/blend3rb.csm ../../OpenCSM/trunk/data/basic/blend3rr.csm ../../OpenCSM/trunk/data/basic/blend3rs.csm ../../OpenCSM/trunk/data/basic/blend3sb.csm ../../OpenCSM/trunk/data/basic/blend3sr.csm ../../OpenCSM/trunk/data/basic/blend3ss.csm ../../OpenCSM/trunk/data/basic/blend4bb.csm ../../OpenCSM/trunk/data/basic/blend4br.csm ../../OpenCSM/trunk/data/basic/blend4bs.csm ../../OpenCSM/trunk/data/basic/blend4.csm ../../OpenCSM/trunk/data/basic/blend4rb.csm ../../OpenCSM/trunk/data/basic/blend4rr.csm ../../OpenCSM/trunk/data/basic/blend4rs.csm ../../OpenCSM/trunk/data/basic/blend4sb.csm ../../OpenCSM/trunk/data/basic/blend4sr.csm ../../OpenCSM/trunk/data/basic/blend4ss.csm ../../OpenCSM/trunk/data/basic/blend5bb.csm ../../OpenCSM/trunk/data/basic/blend5br.csm ../../OpenCSM/trunk/data/basic/blend5bs.csm ../../OpenCSM/trunk/data/basic/blend5.csm ../../OpenCSM/trunk/data/basic/blend5rb.csm ../../OpenCSM/trunk/data/basic/blend5rr.csm ../../OpenCSM/trunk/data/basic/blend5rs.csm ../../OpenCSM/trunk/data/basic/blend5sb.csm ../../OpenCSM/trunk/data/basic/blend5sr.csm ../../OpenCSM/trunk/data/basic/blend5ss.csm ../../OpenCSM/trunk/data/basic/blend6a.csm ../../OpenCSM/trunk/data/basic/blend6b.csm ../../OpenCSM/trunk/data/basic/blend6c.csm ../../OpenCSM/trunk/data/basic/blend7a.csm ../../OpenCSM/trunk/data/basic/blend7b.csm ../../OpenCSM/trunk/data/basic/blend7c.csm ../../OpenCSM/trunk/data/basic/blend7d.csm ../../OpenCSM/trunk/data/basic/blend7e.csm ../../OpenCSM/trunk/data/basic/blend7f.csm ../../OpenCSM/trunk/data/basic/blend7g.csm ../../OpenCSM/trunk/data/basic/blend7h.csm ../../OpenCSM/trunk/data/basic/blend7i.csm ../../OpenCSM/trunk/data/basic/blend7j.csm ../../OpenCSM/trunk/data/basic/blend7k.csm ../../OpenCSM/trunk/data/basic/blend7l.csm ../../OpenCSM/trunk/data/basic/blend7m.csm ../../OpenCSM/trunk/data/basic/blend7n.csm ../../OpenCSM/trunk/data/basic/blend7o.csm ../../OpenCSM/trunk/data/basic/blend7p.csm ../../OpenCSM/trunk/data/basic/blend7q.csm ../../OpenCSM/trunk/data/basic/blend8.csm ../../OpenCSM/trunk/data/basic/blend9a.csm ../../OpenCSM/trunk/data/basic/blend9b.csm ../../OpenCSM/trunk/data/basic/blend9c.csm ../../OpenCSM/trunk/data/basic/blend9.csm ../../OpenCSM/trunk/data/basic/blendA.csm ../../OpenCSM/trunk/data/basic/blendjoin1.csm ../../OpenCSM/trunk/data/basic/blendjoin2.csm ../../OpenCSM/trunk/data/basic/blendjoin3.csm ../../OpenCSM/trunk/data/basic/blendjoin4.csm ../../OpenCSM/trunk/data/basic/blendjoin5.csm ../../OpenCSM/trunk/data/basic/blends1.csm ../../OpenCSM/trunk/data/basic/blends2.csm ../../OpenCSM/trunk/data/basic/blends3.csm ../../OpenCSM/trunk/data/basic/blendWithHoles.csm ../../OpenCSM/trunk/data/basic/body1.csm ../../OpenCSM/trunk/data/basic/body2.csm ../../OpenCSM/trunk/data/basic/body3.csm ../../OpenCSM/trunk/data/basic/body4.csm ../../OpenCSM/trunk/data/basic/bolt.csm ../../OpenCSM/trunk/data/basic/bounds.csm ../../OpenCSM/trunk/data/basic/box1.csm ../../OpenCSM/trunk/data/basic/box2.csm ../../OpenCSM/trunk/data/basic/box3.csm ../../OpenCSM/trunk/data/basic/box4.csm ../../OpenCSM/trunk/data/basic/box5.csm ../../OpenCSM/trunk/data/basic/box6.csm ../../OpenCSM/trunk/data/basic/box7.csm ../../OpenCSM/trunk/data/basic/box8.csm ../../OpenCSM/trunk/data/basic/box9.csm ../../OpenCSM/trunk/data/basic/boxA.csm ../../OpenCSM/trunk/data/basic/boxB.csm ../../OpenCSM/trunk/data/basic/boxBEM.csm ../../OpenCSM/trunk/data/basic/box.csm ../../OpenCSM/trunk/data/basic/boxes1.csm ../../OpenCSM/trunk/data/basic/boxes2.csm ../../OpenCSM/trunk/data/basic/boxes3.csm ../../OpenCSM/trunk/data/basic/boxes4.csm ../../OpenCSM/trunk/data/basic/boxGroove.csm ../../OpenCSM/trunk/data/basic/boxudc6.csm ../../OpenCSM/trunk/data/basic/boxudp1.csm ../../OpenCSM/trunk/data/basic/boxudp2.csm ../../OpenCSM/trunk/data/basic/boxudp3.csm ../../OpenCSM/trunk/data/basic/boxudp4.csm ../../OpenCSM/trunk/data/basic/boxudp5.csm ../../OpenCSM/trunk/data/basic/boxudp6.csm ../../OpenCSM/trunk/data/basic/boxWithSmallFeatures.csm ../../OpenCSM/trunk/data/basic/boxywingbodyflap.csm ../../OpenCSM/trunk/data/basic/bstl3.csm ../../OpenCSM/trunk/data/basic/bstl4.csm ../../OpenCSM/trunk/data/basic/bullet.csm ../../OpenCSM/trunk/data/basic/cage1.csm ../../OpenCSM/trunk/data/basic/cage2.csm ../../OpenCSM/trunk/data/basic/calcCG1.csm ../../OpenCSM/trunk/data/basic/cart3d_demo.csm ../../OpenCSM/trunk/data/basic/catch0.csm ../../OpenCSM/trunk/data/basic/catch1.csm ../../OpenCSM/trunk/data/basic/catch2.csm ../../OpenCSM/trunk/data/basic/catch30.csm ../../OpenCSM/trunk/data/basic/catch33.csm ../../OpenCSM/trunk/data/basic/catch34.csm ../../OpenCSM/trunk/data/basic/catch4.csm ../../OpenCSM/trunk/data/basic/catch5a.csm ../../OpenCSM/trunk/data/basic/catch5b.csm ../../OpenCSM/trunk/data/basic/catch5c.csm ../../OpenCSM/trunk/data/basic/catch5d.csm ../../OpenCSM/trunk/data/basic/catch6.csm ../../OpenCSM/trunk/data/basic/catmull0.csm ../../OpenCSM/trunk/data/basic/catmull0x.csm ../../OpenCSM/trunk/data/basic/catmull0xy.csm ../../OpenCSM/trunk/data/basic/catmull0xyz.csm ../../OpenCSM/trunk/data/basic/catmull0y.csm ../../OpenCSM/trunk/data/basic/catmull0yz.csm ../../OpenCSM/trunk/data/basic/catmull0z.csm ../../OpenCSM/trunk/data/basic/catmull0zx.csm ../../OpenCSM/trunk/data/basic/catmull1.csm ../../OpenCSM/trunk/data/basic/catmull2.csm ../../OpenCSM/trunk/data/basic/catmull3.csm ../../OpenCSM/trunk/data/basic/catmull6.csm ../../OpenCSM/trunk/data/basic/catmull8.csm ../../OpenCSM/trunk/data/basic/catmullA.csm ../../OpenCSM/trunk/data/basic/cfgpmtr1.csm ../../OpenCSM/trunk/data/basic/chamfer1.csm ../../OpenCSM/trunk/data/basic/chamfer2.csm ../../OpenCSM/trunk/data/basic/chamfer3.csm ../../OpenCSM/trunk/data/basic/chamferBox1.csm ../../OpenCSM/trunk/data/basic/chamferBox2.csm ../../OpenCSM/trunk/data/basic/chamferBox3.csm ../../OpenCSM/trunk/data/basic/chamferBox4.csm ../../OpenCSM/trunk/data/basic/channel.csm ../../OpenCSM/trunk/data/basic/coarseBox.csm ../../OpenCSM/trunk/data/basic/colinear_cirarc.csm ../../OpenCSM/trunk/data/basic/collar.csm ../../OpenCSM/trunk/data/basic/color1a.csm ../../OpenCSM/trunk/data/basic/color1b.csm ../../OpenCSM/trunk/data/basic/color1c.csm ../../OpenCSM/trunk/data/basic/color2a.csm ../../OpenCSM/trunk/data/basic/color2b.csm ../../OpenCSM/trunk/data/basic/color3a.csm ../../OpenCSM/trunk/data/basic/color3b.csm ../../OpenCSM/trunk/data/basic/color3c.csm ../../OpenCSM/trunk/data/basic/combine1.csm ../../OpenCSM/trunk/data/basic/combine2.csm ../../OpenCSM/trunk/data/basic/combine3.csm ../../OpenCSM/trunk/data/basic/combine4.csm ../../OpenCSM/trunk/data/basic/combine5.csm ../../OpenCSM/trunk/data/basic/combine6a.csm ../../OpenCSM/trunk/data/basic/combine6b.csm ../../OpenCSM/trunk/data/basic/combine7a.csm ../../OpenCSM/trunk/data/basic/combine7b.csm ../../OpenCSM/trunk/data/basic/compare1a.csm ../../OpenCSM/trunk/data/basic/compare1b.csm ../../OpenCSM/trunk/data/basic/compare2a.csm ../../OpenCSM/trunk/data/basic/compare2b.csm ../../OpenCSM/trunk/data/basic/compare2c.csm ../../OpenCSM/trunk/data/basic/compare2d.csm ../../OpenCSM/trunk/data/basic/complex_rotn1.csm ../../OpenCSM/trunk/data/basic/complex_rotn2.csm ../../OpenCSM/trunk/data/basic/cone.csm ../../OpenCSM/trunk/data/basic/cones3x.csm ../../OpenCSM/trunk/data/basic/cones3y.csm ../../OpenCSM/trunk/data/basic/cones3z.csm ../../OpenCSM/trunk/data/basic/cones4.csm ../../OpenCSM/trunk/data/basic/cones.csm ../../OpenCSM/trunk/data/basic/conex_faux.csm ../../OpenCSM/trunk/data/basic/conexm.csm ../../OpenCSM/trunk/data/basic/conexp.csm ../../OpenCSM/trunk/data/basic/coney_faux.csm ../../OpenCSM/trunk/data/basic/coneym.csm ../../OpenCSM/trunk/data/basic/coneyp.csm ../../OpenCSM/trunk/data/basic/conez_faux.csm ../../OpenCSM/trunk/data/basic/conezm.csm ../../OpenCSM/trunk/data/basic/conezp.csm ../../OpenCSM/trunk/data/basic/connect1.csm ../../OpenCSM/trunk/data/basic/connect2.csm ../../OpenCSM/trunk/data/basic/connect3.csm ../../OpenCSM/trunk/data/basic/connect4a.csm ../../OpenCSM/trunk/data/basic/connect4b.csm ../../OpenCSM/trunk/data/basic/connect4c.csm ../../OpenCSM/trunk/data/basic/connect4d.csm ../../OpenCSM/trunk/data/basic/connect5.csm ../../OpenCSM/trunk/data/basic/connect6a.csm 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../../OpenCSM/trunk/data/basic/gougedBox.csm ../../OpenCSM/trunk/data/basic/gougedCylinder.csm ../../OpenCSM/trunk/data/basic/group1.csm ../../OpenCSM/trunk/data/basic/group2.csm ../../OpenCSM/trunk/data/basic/group3.csm ../../OpenCSM/trunk/data/basic/group4.csm ../../OpenCSM/trunk/data/basic/group5.csm ../../OpenCSM/trunk/data/basic/guide1a.csm ../../OpenCSM/trunk/data/basic/guide1b.csm ../../OpenCSM/trunk/data/basic/guide2a.csm ../../OpenCSM/trunk/data/basic/guide2b.csm ../../OpenCSM/trunk/data/basic/guide3.csm ../../OpenCSM/trunk/data/basic/gyroid.csm ../../OpenCSM/trunk/data/basic/helix.csm ../../OpenCSM/trunk/data/basic/hex1.csm ../../OpenCSM/trunk/data/basic/hex2.csm ../../OpenCSM/trunk/data/basic/hex3.csm ../../OpenCSM/trunk/data/basic/hinge2a.csm ../../OpenCSM/trunk/data/basic/hinge2b.csm ../../OpenCSM/trunk/data/basic/hinge2c.csm ../../OpenCSM/trunk/data/basic/hinge2d.csm ../../OpenCSM/trunk/data/basic/hinge2e.csm ../../OpenCSM/trunk/data/basic/hingex.csm 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../../OpenCSM/trunk/data/basic/pmtrtest.csm ../../OpenCSM/trunk/data/basic/pod1.csm ../../OpenCSM/trunk/data/basic/pod2.csm ../../OpenCSM/trunk/data/basic/poly1a.csm ../../OpenCSM/trunk/data/basic/poly1b.csm ../../OpenCSM/trunk/data/basic/poly2.csm ../../OpenCSM/trunk/data/basic/poly3.csm ../../OpenCSM/trunk/data/basic/poly4.csm ../../OpenCSM/trunk/data/basic/polygons.csm ../../OpenCSM/trunk/data/basic/popup1.csm ../../OpenCSM/trunk/data/basic/popup2.csm ../../OpenCSM/trunk/data/basic/posts1.csm ../../OpenCSM/trunk/data/basic/posts2.csm ../../OpenCSM/trunk/data/basic/posts3.csm ../../OpenCSM/trunk/data/basic/posts4.csm ../../OpenCSM/trunk/data/basic/primitives.csm ../../OpenCSM/trunk/data/basic/project1.csm ../../OpenCSM/trunk/data/basic/project2.csm ../../OpenCSM/trunk/data/basic/project3.csm ../../OpenCSM/trunk/data/basic/propeller1.csm ../../OpenCSM/trunk/data/basic/propeller2.csm ../../OpenCSM/trunk/data/basic/pyramid2.csm ../../OpenCSM/trunk/data/basic/pyramid.csm 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../../OpenCSM/trunk/data/basic/reorder3b.csm ../../OpenCSM/trunk/data/basic/reorder3r.csm ../../OpenCSM/trunk/data/basic/reorder4a.csm ../../OpenCSM/trunk/data/basic/reorder4b.csm ../../OpenCSM/trunk/data/basic/reorder4c.csm ../../OpenCSM/trunk/data/basic/reorder4d.csm ../../OpenCSM/trunk/data/basic/reorder4e.csm ../../OpenCSM/trunk/data/basic/reorder4f.csm ../../OpenCSM/trunk/data/basic/restore0.csm ../../OpenCSM/trunk/data/basic/restore1.csm ../../OpenCSM/trunk/data/basic/revolve0x.csm ../../OpenCSM/trunk/data/basic/revolve0y.csm ../../OpenCSM/trunk/data/basic/revolve1x.csm ../../OpenCSM/trunk/data/basic/revolve1y.csm ../../OpenCSM/trunk/data/basic/revolve2x.csm ../../OpenCSM/trunk/data/basic/revolve2y.csm ../../OpenCSM/trunk/data/basic/revolve3x.csm ../../OpenCSM/trunk/data/basic/revolve3y.csm ../../OpenCSM/trunk/data/basic/revolve4x.csm ../../OpenCSM/trunk/data/basic/revolve4y.csm ../../OpenCSM/trunk/data/basic/revolve5x.csm ../../OpenCSM/trunk/data/basic/revolve5y.csm 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../../OpenCSM/trunk/data/basic/robins3.csm ../../OpenCSM/trunk/data/basic/robins4.csm ../../OpenCSM/trunk/data/basic/robins5.csm ../../OpenCSM/trunk/data/basic/rot30x.csm ../../OpenCSM/trunk/data/basic/rot30y.csm ../../OpenCSM/trunk/data/basic/rot30z.csm ../../OpenCSM/trunk/data/basic/rotor1.csm ../../OpenCSM/trunk/data/basic/rotor2.csm ../../OpenCSM/trunk/data/basic/rotor3.csm ../../OpenCSM/trunk/data/basic/rule10a.csm ../../OpenCSM/trunk/data/basic/rule10b.csm ../../OpenCSM/trunk/data/basic/rule10c.csm ../../OpenCSM/trunk/data/basic/rule10d.csm ../../OpenCSM/trunk/data/basic/rule10e.csm ../../OpenCSM/trunk/data/basic/rule10f.csm ../../OpenCSM/trunk/data/basic/rule10g.csm ../../OpenCSM/trunk/data/basic/rule10h.csm ../../OpenCSM/trunk/data/basic/rule10i.csm ../../OpenCSM/trunk/data/basic/rule10j.csm ../../OpenCSM/trunk/data/basic/rule10k.csm ../../OpenCSM/trunk/data/basic/rule10l.csm ../../OpenCSM/trunk/data/basic/rule10m.csm ../../OpenCSM/trunk/data/basic/rule10n.csm 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../../OpenCSM/trunk/data/basic/subtract3a.csm ../../OpenCSM/trunk/data/basic/subtract3b.csm ../../OpenCSM/trunk/data/basic/subtract3c.csm ../../OpenCSM/trunk/data/basic/subtract3d.csm ../../OpenCSM/trunk/data/basic/subtract4a.csm ../../OpenCSM/trunk/data/basic/subtract4b.csm ../../OpenCSM/trunk/data/basic/subtract4c.csm ../../OpenCSM/trunk/data/basic/subtract4d.csm ../../OpenCSM/trunk/data/basic/subtract4e.csm ../../OpenCSM/trunk/data/basic/subtract4f.csm ../../OpenCSM/trunk/data/basic/subtract4g.csm ../../OpenCSM/trunk/data/basic/subtract4h.csm ../../OpenCSM/trunk/data/basic/subtract4i.csm ../../OpenCSM/trunk/data/basic/subtract4j.csm ../../OpenCSM/trunk/data/basic/subtract5a.csm ../../OpenCSM/trunk/data/basic/subtract5b.csm ../../OpenCSM/trunk/data/basic/subtract5c.csm ../../OpenCSM/trunk/data/basic/subtract5d.csm ../../OpenCSM/trunk/data/basic/subtract5e.csm ../../OpenCSM/trunk/data/basic/subtract5f.csm ../../OpenCSM/trunk/data/basic/subtract5g.csm ../../OpenCSM/trunk/data/basic/subtract5h.csm ../../OpenCSM/trunk/data/basic/subtract6a.csm ../../OpenCSM/trunk/data/basic/subtract6b.csm ../../OpenCSM/trunk/data/basic/subtract6c.csm ../../OpenCSM/trunk/data/basic/subtract6d.csm ../../OpenCSM/trunk/data/basic/subtract6e.csm ../../OpenCSM/trunk/data/basic/subtract6f.csm ../../OpenCSM/trunk/data/basic/subtract6g.csm ../../OpenCSM/trunk/data/basic/subtract6h.csm ../../OpenCSM/trunk/data/basic/subtract6i.csm ../../OpenCSM/trunk/data/basic/subtractAll.csm ../../OpenCSM/trunk/data/basic/supell1.csm ../../OpenCSM/trunk/data/basic/supell2.csm ../../OpenCSM/trunk/data/basic/supell3.csm ../../OpenCSM/trunk/data/basic/supell4.csm ../../OpenCSM/trunk/data/basic/supell5.csm ../../OpenCSM/trunk/data/basic/supell6a.csm ../../OpenCSM/trunk/data/basic/supell6b.csm ../../OpenCSM/trunk/data/basic/sweep0a.csm ../../OpenCSM/trunk/data/basic/sweep1a.csm ../../OpenCSM/trunk/data/basic/sweep2a.csm ../../OpenCSM/trunk/data/basic/sweep3a.csm 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../../OpenCSM/trunk/data/basic/skcon0c.csm
../../OpenCSM/trunk/data/basic/skcon0d.csm
../../OpenCSM/trunk/data/basic/skcon0e.csm
../../OpenCSM/trunk/data/basic/skcon1a.csm
../../OpenCSM/trunk/data/basic/skcon1b.csm
../../OpenCSM/trunk/data/basic/skcon1c.csm
../../OpenCSM/trunk/data/basic/skcon1d.csm
../../OpenCSM/trunk/data/basic/skcon1e.csm
../../OpenCSM/trunk/data/basic/skcon1f.csm
../../OpenCSM/trunk/data/basic/skcon1g.csm
../../OpenCSM/trunk/data/basic/skcon2a.csm
../../OpenCSM/trunk/data/basic/skcon2b.csm
../../OpenCSM/trunk/data/basic/skcon2c.csm
../../OpenCSM/trunk/data/basic/skcon2d.csm
../../OpenCSM/trunk/data/basic/skcon2e.csm
../../OpenCSM/trunk/data/basic/skcon3a.csm
../../OpenCSM/trunk/data/basic/skcon3b.csm
../../OpenCSM/trunk/data/basic/skcon3c.csm
../../OpenCSM/trunk/data/basic/skcon3d.csm
../../OpenCSM/trunk/data/basic/skcon3e.csm
../../OpenCSM/trunk/data/basic/skcon3f.csm
../../OpenCSM/trunk/data/basic/skcon4a.csm
../../OpenCSM/trunk/data/basic/skcon4b.csm
../../OpenCSM/trunk/data/basic/skcon4c.csm
../../OpenCSM/trunk/data/basic/skcon4d.csm
../../OpenCSM/trunk/data/basic/skcon4e.csm
../../OpenCSM/trunk/data/basic/skcon4f.csm
../../OpenCSM/trunk/data/basic/skcon4g.csm
../../OpenCSM/trunk/data/basic/skcon5a.csm
../../OpenCSM/trunk/data/basic/skcon5b.csm
../../OpenCSM/trunk/data/basic/skcon5c.csm
../../OpenCSM/trunk/data/basic/skcon5d.csm
../../OpenCSM/trunk/data/basic/skcon5e.csm
../../OpenCSM/trunk/data/basic/skcon5f.csm
../../OpenCSM/trunk/data/basic/skcon6a.csm
../../OpenCSM/trunk/data/basic/skcon6b.csm
../../OpenCSM/trunk/data/basic/skcon6c.csm
../../OpenCSM/trunk/data/basic/skcon6d.csm
../../OpenCSM/trunk/data/basic/skcon7a.csm
../../OpenCSM/trunk/data/basic/skcon7b.csm
../../OpenCSM/trunk/data/basic/skcon7c.csm
../../OpenCSM/trunk/data/basic/skcon7d.csm
../../OpenCSM/trunk/data/basic/skcon8a.csm
../../OpenCSM/trunk/data/basic/skcon8b.csm
../../OpenCSM/trunk/data/basic/skcon8c.csm
../../OpenCSM/trunk/data/basic/skcon8d.csm
../../OpenCSM/trunk/data/basic/skcon8e.csm
../../OpenCSM/trunk/data/basic/skcon8f.csm
../../OpenCSM/trunk/data/basic/skcon9a.csm
../../OpenCSM/trunk/data/basic/skcon9b.csm
../../OpenCSM/trunk/data/basic/skcon9c.csm
../../OpenCSM/trunk/data/basic/skcon9d.csm
../../OpenCSM/trunk/data/basic/skcon9e.csm
../../OpenCSM/trunk/data/basic/skcon9f.csm
../../OpenCSM/trunk/data/basic/skcon9g.csm
../../OpenCSM/trunk/data/basic/sketch0.csm
../../OpenCSM/trunk/data/basic/sketch1.csm
../../OpenCSM/trunk/data/basic/sketch2.csm
../../OpenCSM/trunk/data/basic/sketch3.csm
../../OpenCSM/trunk/data/basic/sketch4.csm
../../OpenCSM/trunk/data/basic/sketch5.csm
../../OpenCSM/trunk/data/basic/sketch6.csm
../../OpenCSM/trunk/data/basic/skfix1.csm
../../OpenCSM/trunk/data/basic/skfix1_inc.csm
../../OpenCSM/trunk/data/basic/skfix2.csm
../../OpenCSM/trunk/data/basic/skfix2_inc.csm
../../OpenCSM/trunk/data/basic/skfix3.csm
../../OpenCSM/trunk/data/basic/skfix3_inc.csm
../../OpenCSM/trunk/data/basic/skfix4.csm
../../OpenCSM/trunk/data/basic/skfix4_inc.csm
../../OpenCSM/trunk/data/basic/skfix5.csm
../../OpenCSM/trunk/data/basic/skfix5_inc.csm
../../OpenCSM/trunk/data/basic/skfix6.csm
../../OpenCSM/trunk/data/basic/skfix6_inc.csm
../../OpenCSM/trunk/data/basic/sliceWing.csm
../../OpenCSM/trunk/data/basic/snake1.csm
../../OpenCSM/trunk/data/basic/solver1.csm
../../OpenCSM/trunk/data/basic/solver2.csm
../../OpenCSM/trunk/data/basic/solver3.csm
../../OpenCSM/trunk/data/basic/solver4.csm
../../OpenCSM/trunk/data/basic/solver5.csm
../../OpenCSM/trunk/data/basic/solver6a.csm
../../OpenCSM/trunk/data/basic/solver6b.csm
../../OpenCSM/trunk/data/basic/solver6.csm
../../OpenCSM/trunk/data/basic/sphereCone1.csm
../../OpenCSM/trunk/data/basic/sphereCone2a.csm
../../OpenCSM/trunk/data/basic/sphereCone2b.csm
../../OpenCSM/trunk/data/basic/sphereCone2c.csm
../../OpenCSM/trunk/data/basic/sphereConeCyl.csm
../../OpenCSM/trunk/data/basic/sphere.csm
../../OpenCSM/trunk/data/basic/sphere_faux.csm
../../OpenCSM/trunk/data/basic/sphereScribe.csm
../../OpenCSM/trunk/data/basic/spheres.csm
../../OpenCSM/trunk/data/basic/spinner.csm
../../OpenCSM/trunk/data/basic/spline1.csm
../../OpenCSM/trunk/data/basic/spline2.csm
../../OpenCSM/trunk/data/basic/split1.csm
../../OpenCSM/trunk/data/basic/splitFlap.csm
../../OpenCSM/trunk/data/basic/spoiler1.csm
../../OpenCSM/trunk/data/basic/spoiler2.csm
../../OpenCSM/trunk/data/basic/spoiler3.csm
../../OpenCSM/trunk/data/basic/sslope1a.csm
../../OpenCSM/trunk/data/basic/sslope1b.csm
../../OpenCSM/trunk/data/basic/sslope1c.csm
../../OpenCSM/trunk/data/basic/sslope1d.csm
../../OpenCSM/trunk/data/basic/sslope2a.csm
../../OpenCSM/trunk/data/basic/sslope2b.csm
../../OpenCSM/trunk/data/basic/sslope2c.csm
../../OpenCSM/trunk/data/basic/sslope2d.csm
../../OpenCSM/trunk/data/basic/sslope3a.csm
../../OpenCSM/trunk/data/basic/sslope3b.csm
../../OpenCSM/trunk/data/basic/sslope3c.csm
../../OpenCSM/trunk/data/basic/sslope3d.csm
../../OpenCSM/trunk/data/basic/sslope4a.csm
../../OpenCSM/trunk/data/basic/sslope4b.csm
../../OpenCSM/trunk/data/basic/sslope4c.csm
../../OpenCSM/trunk/data/basic/sslope4d.csm
../../OpenCSM/trunk/data/basic/stag1.csm
../../OpenCSM/trunk/data/basic/stag2.csm
../../OpenCSM/trunk/data/basic/star1.csm
../../OpenCSM/trunk/data/basic/star2.csm
../../OpenCSM/trunk/data/basic/star3.csm
../../OpenCSM/trunk/data/basic/star4a.csm
../../OpenCSM/trunk/data/basic/star4b.csm
../../OpenCSM/trunk/data/basic/star4c.csm
../../OpenCSM/trunk/data/basic/star5.csm
../../OpenCSM/trunk/data/basic/stiffener1.csm
../../OpenCSM/trunk/data/basic/stiffener2.csm
../../OpenCSM/trunk/data/basic/stl1.csm
../../OpenCSM/trunk/data/basic/stl3.csm
../../OpenCSM/trunk/data/basic/stl4.csm
../../OpenCSM/trunk/data/basic/store1.csm
../../OpenCSM/trunk/data/basic/store2.csm
../../OpenCSM/trunk/data/basic/store3.csm
../../OpenCSM/trunk/data/basic/store4.csm
../../OpenCSM/trunk/data/basic/strut1.csm
../../OpenCSM/trunk/data/basic/strut2.csm
../../OpenCSM/trunk/data/basic/subtract1.csm
../../OpenCSM/trunk/data/basic/subtract2.csm
../../OpenCSM/trunk/data/basic/subtract3a.csm
../../OpenCSM/trunk/data/basic/subtract3b.csm
../../OpenCSM/trunk/data/basic/subtract3c.csm
../../OpenCSM/trunk/data/basic/subtract3d.csm
../../OpenCSM/trunk/data/basic/subtract4a.csm
../../OpenCSM/trunk/data/basic/subtract4b.csm
../../OpenCSM/trunk/data/basic/subtract4c.csm
../../OpenCSM/trunk/data/basic/subtract4d.csm
../../OpenCSM/trunk/data/basic/subtract4e.csm
../../OpenCSM/trunk/data/basic/subtract4f.csm
../../OpenCSM/trunk/data/basic/subtract4g.csm
../../OpenCSM/trunk/data/basic/subtract4h.csm
../../OpenCSM/trunk/data/basic/subtract4i.csm
../../OpenCSM/trunk/data/basic/subtract4j.csm
../../OpenCSM/trunk/data/basic/subtract5a.csm
../../OpenCSM/trunk/data/basic/subtract5b.csm
../../OpenCSM/trunk/data/basic/subtract5c.csm
../../OpenCSM/trunk/data/basic/subtract5d.csm
../../OpenCSM/trunk/data/basic/subtract5e.csm
../../OpenCSM/trunk/data/basic/subtract5f.csm
../../OpenCSM/trunk/data/basic/subtract5g.csm
../../OpenCSM/trunk/data/basic/subtract5h.csm
../../OpenCSM/trunk/data/basic/subtract6a.csm
../../OpenCSM/trunk/data/basic/subtract6b.csm
../../OpenCSM/trunk/data/basic/subtract6c.csm
../../OpenCSM/trunk/data/basic/subtract6d.csm
../../OpenCSM/trunk/data/basic/subtract6e.csm
../../OpenCSM/trunk/data/basic/subtract6f.csm
../../OpenCSM/trunk/data/basic/subtract6g.csm
../../OpenCSM/trunk/data/basic/subtract6h.csm
../../OpenCSM/trunk/data/basic/subtract6i.csm
../../OpenCSM/trunk/data/basic/subtractAll.csm
../../OpenCSM/trunk/data/basic/supell1.csm
../../OpenCSM/trunk/data/basic/supell2.csm
../../OpenCSM/trunk/data/basic/supell3.csm
../../OpenCSM/trunk/data/basic/supell4.csm
../../OpenCSM/trunk/data/basic/supell5.csm
../../OpenCSM/trunk/data/basic/supell6a.csm
../../OpenCSM/trunk/data/basic/supell6b.csm
../../OpenCSM/trunk/data/basic/sweep0a.csm
../../OpenCSM/trunk/data/basic/sweep1a.csm
../../OpenCSM/trunk/data/basic/sweep2a.csm
../../OpenCSM/trunk/data/basic/sweep3a.csm
../../OpenCSM/trunk/data/basic/sweep4a.csm
../../OpenCSM/trunk/data/basic/swirl.csm
../../OpenCSM/trunk/data/basic/tiptreat1a.csm
../../OpenCSM/trunk/data/basic/tiptreat1b.csm
../../OpenCSM/trunk/data/basic/tiptreat1c.csm
../../OpenCSM/trunk/data/basic/tiptreat1d.csm
../../OpenCSM/trunk/data/basic/tiptreat1e.csm
../../OpenCSM/trunk/data/basic/tiptreat1f.csm
../../OpenCSM/trunk/data/basic/tiptreat2a.csm
../../OpenCSM/trunk/data/basic/tiptreat2b.csm
../../OpenCSM/trunk/data/basic/tiptreat2c.csm
../../OpenCSM/trunk/data/basic/tiptreat2d.csm
../../OpenCSM/trunk/data/basic/tiptreat3a.csm
../../OpenCSM/trunk/data/basic/tiptreat3b.csm
../../OpenCSM/trunk/data/basic/tiptreat3c.csm
../../OpenCSM/trunk/data/basic/tiptreat3d.csm
../../OpenCSM/trunk/data/basic/tiptreat4Ba.csm
../../OpenCSM/trunk/data/basic/tiptreat4Bb.csm
../../OpenCSM/trunk/data/basic/tiptreat4Bc.csm
../../OpenCSM/trunk/data/basic/tiptreat4Bd.csm
../../OpenCSM/trunk/data/basic/tiptreat4Sa.csm
../../OpenCSM/trunk/data/basic/tiptreat4Sb.csm
../../OpenCSM/trunk/data/basic/tiptreat4Sc.csm
../../OpenCSM/trunk/data/basic/tiptreat4Sd.csm
../../OpenCSM/trunk/data/basic/tiptreat5Ba.csm
../../OpenCSM/trunk/data/basic/tiptreat5Bb.csm
../../OpenCSM/trunk/data/basic/tiptreat5Bc.csm
../../OpenCSM/trunk/data/basic/tiptreat5Bd.csm
../../OpenCSM/trunk/data/basic/tiptreat5Sa.csm
../../OpenCSM/trunk/data/basic/tiptreat5Sb.csm
../../OpenCSM/trunk/data/basic/tiptreat5Sc.csm
../../OpenCSM/trunk/data/basic/tiptreat5Sd.csm
../../OpenCSM/trunk/data/basic/torus.csm
../../OpenCSM/trunk/data/basic/torus_faux.csm
../../OpenCSM/trunk/data/basic/transition1.csm
../../OpenCSM/trunk/data/basic/transition2.csm
../../OpenCSM/trunk/data/basic/transition3.csm
../../OpenCSM/trunk/data/basic/transition4.csm
../../OpenCSM/trunk/data/basic/transport1a.csm
../../OpenCSM/trunk/data/basic/transport1b.csm
../../OpenCSM/trunk/data/basic/transport1c.csm
../../OpenCSM/trunk/data/basic/transport2a.csm
../../OpenCSM/trunk/data/basic/transport2b.csm
../../OpenCSM/trunk/data/basic/transport2c.csm
../../OpenCSM/trunk/data/basic/turnang.csm
../../OpenCSM/trunk/data/basic/twist2.csm
../../OpenCSM/trunk/data/basic/twist.csm
../../OpenCSM/trunk/data/basic/twoboxes.csm
../../OpenCSM/trunk/data/basic/udcMulti.csm
../../OpenCSM/trunk/data/basic/udcString.csm
../../OpenCSM/trunk/data/basic/udcTest1a.csm
../../OpenCSM/trunk/data/basic/udcTest1b.csm
../../OpenCSM/trunk/data/basic/udcTest2.csm
../../OpenCSM/trunk/data/basic/udcTest3.csm
../../OpenCSM/trunk/data/basic/udcTest4.csm
../../OpenCSM/trunk/data/basic/udfPrintTest.csm
../../OpenCSM/trunk/data/basic/udparg1.csm
../../OpenCSM/trunk/data/basic/udparg.csm
../../OpenCSM/trunk/data/basic/umbrella1.csm
../../OpenCSM/trunk/data/basic/umbrella2.csm
../../OpenCSM/trunk/data/basic/umbrella3.csm
../../OpenCSM/trunk/data/basic/umbrella4.csm
../../OpenCSM/trunk/data/basic/union1.csm
../../OpenCSM/trunk/data/basic/union2.csm
../../OpenCSM/trunk/data/basic/union3.csm
../../OpenCSM/trunk/data/basic/union4a1.csm
../../OpenCSM/trunk/data/basic/union4a2.csm
../../OpenCSM/trunk/data/basic/union4b1.csm
../../OpenCSM/trunk/data/basic/union4b2.csm
../../OpenCSM/trunk/data/basic/union4c1.csm
../../OpenCSM/trunk/data/basic/union4c2.csm
../../OpenCSM/trunk/data/basic/union4d1.csm
../../OpenCSM/trunk/data/basic/union4d2.csm
../../OpenCSM/trunk/data/basic/union5a.csm
../../OpenCSM/trunk/data/basic/union5b.csm
../../OpenCSM/trunk/data/basic/union5c.csm
../../OpenCSM/trunk/data/basic/unionAll.csm
../../OpenCSM/trunk/data/basic/waffle1a.csm
../../OpenCSM/trunk/data/basic/waffle1b.csm
../../OpenCSM/trunk/data/basic/waffle2a.csm
../../OpenCSM/trunk/data/basic/waffle2b.csm
../../OpenCSM/trunk/data/basic/waffle3a.csm
../../OpenCSM/trunk/data/basic/waffle3b.csm
../../OpenCSM/trunk/data/basic/waffle4a.csm
../../OpenCSM/trunk/data/basic/waffle4b.csm
../../OpenCSM/trunk/data/basic/waffle5a.csm
../../OpenCSM/trunk/data/basic/waffle5b.csm
../../OpenCSM/trunk/data/basic/waffle6b.csm
../../OpenCSM/trunk/data/basic/waffle7b.csm
../../OpenCSM/trunk/data/basic/warts.csm
../../OpenCSM/trunk/data/basic/winding1.csm
../../OpenCSM/trunk/data/basic/winding2.csm
../../OpenCSM/trunk/data/basic/winding3.csm
../../OpenCSM/trunk/data/basic/windtunnel1.csm
../../OpenCSM/trunk/data/basic/windtunnel2.csm
../../OpenCSM/trunk/data/basic/windtunnel3.csm
../../OpenCSM/trunk/data/basic/windtunnel4.csm
../../OpenCSM/trunk/data/basic/windtunnel5.csm
../../OpenCSM/trunk/data/basic/windtunnel6.csm
../../OpenCSM/trunk/data/basic/windtunnel7.csm
../../OpenCSM/trunk/data/basic/wingAttrTest.csm
../../OpenCSM/trunk/data/basic/wingBEM.csm
../../OpenCSM/trunk/data/basic/wingFuseBEM1.csm
../../OpenCSM/trunk/data/basic/wingFuseBEM2.csm
../../OpenCSM/trunk/data/basic/wingMultiModel.csm
../../OpenCSM/trunk/data/basic/wingOML.csm
../../OpenCSM/trunk/data/basic/wingSew1.csm
../../OpenCSM/trunk/data/basic/wingSew2.csm
../../OpenCSM/trunk/data/basic/wingSew3.csm
../../OpenCSM/trunk/data/basic/wingtip.csm
../../OpenCSM/trunk/data/basic/wirebodyA.csm
../../OpenCSM/trunk/data/basic/worms.csm'
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/assembly1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/assembly2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/assembly_cylinder.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/assembly_frustrum.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/assembly_hemisphere.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/atTest.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attrDelete.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attrDemo.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (edge_not_found) in Branch Brch_000029 at [[../../OpenCSM/trunk/data/basic/attribute7a.csm:51]]
        SELECT specified nonexistant Edge
    --> catching signal -223 (edge_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (edge_not_found) in Branch Brch_000029 at [[../../OpenCSM/trunk/data/basic/attribute7b.csm:51]]
        SELECT specified nonexistant Edge
    --> catching signal -223 (edge_not_found)
ERROR:: (node_not_found) in Branch Brch_000035 at [[../../OpenCSM/trunk/data/basic/attribute7b.csm:59]]
        SELECT specified nonexistant Node
    --> catching signal -224 (node_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/attribute.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bad.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/bad.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (internal_error) in Branch Brch_000003 at [[../../OpenCSM/trunk/data/basic/bad.csm:6]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000003 at [[../../OpenCSM/trunk/data/basic/bad.csm:6]]
        INTERSECT did not create a Body
ERROR:: build not completed because error -214 (did_not_create_body) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bbox.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bemTest1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bemTest2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bemTest3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bezier7f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/biconvex.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 10 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend10p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 9 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 10 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 9 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend11p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend12.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13b22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13r22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend13s22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14b22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (insufficient_bodys_on_stack) in Branch Brch_000041 at [[../../OpenCSM/trunk/data/basic/blend14r22r.csm:73]]
        BLEND expects 3 or more Sketches between rounded beg and end
    --> catching signal -212 (insufficient_bodys_on_stack)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14r22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s00b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s00r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s00s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s01b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s01r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s01s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s02b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s02r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s02s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s10r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s10s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s11r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s11s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s12b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s12r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s12s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s20b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s20r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s20s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s21b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s21r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s21s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s22b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s22r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend14s22s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend15a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend15b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (wrong_types_on_stack) in Branch Brch_000022 at [[../../OpenCSM/trunk/data/basic/blend15b.csm:34]]
        BLEND cannot have three or more consecutive C1 sections
    --> catching signal -213 (wrong_types_on_stack)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend16a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend16b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend16c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend17a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend17b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend17c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend17d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend18.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (errors_in_bodys_on_stack) in Branch Brch_000046 at [[../../OpenCSM/trunk/data/basic/blend18.csm:67]]
        expecting 4 Edges but found 2
    --> catching signal -217 (errors_in_bodys_on_stack)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1br.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1ff.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1rb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend1ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2br.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2ff.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2rb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend2ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3br.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3ff.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3rb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend3ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4br.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4rb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend4ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5br.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5rb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend5ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend7q.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend9a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend9b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend9c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blend9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 15 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendjoin1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendjoin2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendjoin3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendjoin4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendjoin5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blends1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blends2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blends3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/blendWithHoles.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/blendWithHoles.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (errors_in_bodys_on_stack) in Branch Brch_000017 at [[../../OpenCSM/trunk/data/basic/blendWithHoles.csm:27]]
        expecting 1 Loop but found 3
ERROR:: build not completed because error -217 (errors_in_bodys_on_stack) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/body1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/body2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/body3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/body4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bolt.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bounds.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_value)
        value of tem1 (-10.000000) is lower  than lower bound (-7.000000)
ERROR:: BAD STATUS = -225 from despmtr (called from ocsmBuild:6776)
ERROR:: build not completed because error -225 (illegal_value) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxBEM.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/box.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxes1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxes2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxes3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxes4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxGroove.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudc6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxudp6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxWithSmallFeatures.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/boxywingbodyflap.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bstl3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bstl4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/bullet.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cage1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cage2.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/cage2.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (internal_error) in Branch Brch_000036 at [[../../OpenCSM/trunk/data/basic/cage2.csm:57]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000036 at [[../../OpenCSM/trunk/data/basic/cage2.csm:57]]
        UNION did not create a Body
ERROR:: build not completed because error -214 (did_not_create_body) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/calcCG1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_attribute) in Branch Brch_000020 at [[../../OpenCSM/trunk/data/basic/calcCG.udc:24]]
        Attribute "density" not found
    --> catching signal -226 (illegal_attribute)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cart3d_demo.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (success) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch0.csm:5]]
        signal 0 thrown by user
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch1.csm:5]]
        signal 1 thrown by user
    --> catching signal 1 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch2.csm:5]]
        signal 2 thrown by user
    --> catching signal 2 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch30.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch30.csm:5]]
        signal 3 thrown by user
    --> catching signal 3 (UNKNOWN)
ERROR:: (success) in Branch Brch_000016 at [[../../OpenCSM/trunk/data/basic/catch30.csm:25]]
        signal 0 thrown by user
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch33.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/catch33.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch33.csm:5]]
        signal 3 thrown by user
    --> catching signal 3 (UNKNOWN)
ERROR:: (UNKNOWN) in Branch Brch_000016 at [[../../OpenCSM/trunk/data/basic/catch33.csm:25]]
        signal 3 thrown by user
ERROR:: build not completed because user-thrown signal 3 was uncaught
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch34.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch34.csm:5]]
        signal 3 thrown by user
    --> catching signal 3 (UNKNOWN)
ERROR:: (UNKNOWN) in Branch Brch_000016 at [[../../OpenCSM/trunk/data/basic/catch34.csm:25]]
        signal 4 thrown by user
    --> catching signal 4 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch4.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/catch4.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch4.csm:5]]
        signal 4 thrown by user
ERROR:: build not completed because user-thrown signal 4 was uncaught
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch5a.csm:5]]
        signal -1234 thrown by user
    --> catching signal -1234 (UNKNOWN)
ERROR:: (UNKNOWN) in Branch Brch_000034 at [[../../OpenCSM/trunk/data/basic/catch5a.csm:35]]
        signal -2345 thrown by user
    --> catching signal -2345 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000001 at [[../../OpenCSM/trunk/data/basic/catch5b.csm:4]]
        signal -4567 thrown by user
    --> catching signal -4567 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/catch5c.csm:5]]
        signal -4567 thrown by user
    --> catching signal -4567 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch5d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (UNKNOWN) in Branch Brch_000007 at [[../../OpenCSM/trunk/data/basic/catch5.udc:10]]
        signal -6789 thrown by user
    --> catching signal -6789 (UNKNOWN)
ERROR:: (UNKNOWN) in Branch Brch_000019 at [[../../OpenCSM/trunk/data/basic/catch5.udc:10]]
        signal -6789 thrown by user
    --> catching signal -6789 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catch6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (not_converged) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/catch6.csm:13]]
        maximum iterations exceeded in SOLEND
    --> catching signal -277 (not_converged)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000016 at [[../../OpenCSM/trunk/data/basic/catmull0.csm:30]]
        SELECT specified nonexistant Face
ERROR:: build not completed because error -222 (face_not_found) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0xy.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0xyz.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0yz.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull0zx.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmull8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/catmullA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (insufficient_bodys_on_stack) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/catmullA.csm:13]]
        UNION expects 2 Bodys on stack
    --> catching signal -212 (insufficient_bodys_on_stack)
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cfgpmtr1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamfer1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamfer2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamfer3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamferBox1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamferBox2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamferBox3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/chamferBox4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/channel.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/coarseBox.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/colinear_cirarc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/collar.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/color3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/combine7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
         4393 ( 54.3%)                    <  2.0e-08   |----+----+-
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
            0 (  0.0%) between  1.0e-06 and  2.0e-06   |
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
            0 (  0.0%) between  5.0e-06 and  1.0e-05   |
            0 (  0.0%) between  1.0e-05 and  2.0e-05   |
            0 (  0.0%) between  2.0e-05 and  5.0e-05   |
            0 (  0.0%) between  5.0e-05 and  1.0e-04   |
            0 (  0.0%) between  1.0e-04 and  2.0e-04   |
            0 (  0.0%) between  2.0e-04 and  5.0e-04   |
         2242 ( 27.7%) between  5.0e-04 and  1.0e-03   |----+-
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
          990 ( 12.2%) between  5.0e-03 and  1.0e-02   |---
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
           88 (  1.1%) between  5.0e-02 and  1.0e-01   |-
          377 (  4.7%) between  1.0e-01 and  2.0e-01   |-
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         8090 total
    max dist =   1.0000e-01
    avg dist =   6.8606e-03
    rms dist =   2.2883e-02
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
          566 ( 21.5%)                    <  2.0e-08   |----+
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
          264 ( 10.0%) between  1.0e-06 and  2.0e-06   |---
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          264 ( 10.0%) between  1.0e-05 and  2.0e-05   |---
          576 ( 21.9%) between  2.0e-05 and  5.0e-05   |----+
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          264 ( 10.0%) between  1.0e-04 and  2.0e-04   |---
            0 (  0.0%) between  2.0e-04 and  5.0e-04   |
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1271e-04
    rms dist =   2.5055e-04
          566 ( 21.5%)                    <  2.0e-08   |----+
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
          264 ( 10.0%) between  1.0e-06 and  2.0e-06   |---
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          264 ( 10.0%) between  1.0e-05 and  2.0e-05   |---
          576 ( 21.9%) between  2.0e-05 and  5.0e-05   |----+
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          264 ( 10.0%) between  1.0e-04 and  2.0e-04   |---
            0 (  0.0%) between  2.0e-04 and  5.0e-04   |
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1271e-04
    rms dist =   2.5055e-04
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
          566 ( 21.5%)                    <  2.0e-08   |----+
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
          264 ( 10.0%) between  1.0e-06 and  2.0e-06   |---
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          264 ( 10.0%) between  1.0e-05 and  2.0e-05   |---
          576 ( 21.9%) between  2.0e-05 and  5.0e-05   |----+
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          264 ( 10.0%) between  1.0e-04 and  2.0e-04   |---
            0 (  0.0%) between  2.0e-04 and  5.0e-04   |
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1271e-04
    rms dist =   2.5055e-04
          566 ( 21.5%)                    <  2.0e-08   |----+
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
          264 ( 10.0%) between  1.0e-06 and  2.0e-06   |---
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          264 ( 10.0%) between  1.0e-05 and  2.0e-05   |---
          576 ( 21.9%) between  2.0e-05 and  5.0e-05   |----+
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          264 ( 10.0%) between  1.0e-04 and  2.0e-04   |---
            0 (  0.0%) between  2.0e-04 and  5.0e-04   |
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1271e-04
    rms dist =   2.5055e-04
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
          574 ( 21.8%)                    <  2.0e-08   |----+
            8 (  0.3%) between  2.0e-08 and  5.0e-08   |-
            8 (  0.3%) between  5.0e-08 and  1.0e-07   |-
           24 (  0.9%) between  1.0e-07 and  2.0e-07   |-
           80 (  3.0%) between  2.0e-07 and  5.0e-07   |-
          104 (  4.0%) between  5.0e-07 and  1.0e-06   |-
           32 (  1.2%) between  1.0e-06 and  2.0e-06   |-
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          480 ( 18.3%) between  1.0e-05 and  2.0e-05   |----
          360 ( 13.7%) between  2.0e-05 and  5.0e-05   |---
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          256 (  9.7%) between  1.0e-04 and  2.0e-04   |--
            8 (  0.3%) between  2.0e-04 and  5.0e-04   |-
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1354e-04
    rms dist =   2.4963e-04
          574 ( 21.8%)                    <  2.0e-08   |----+
            8 (  0.3%) between  2.0e-08 and  5.0e-08   |-
            8 (  0.3%) between  5.0e-08 and  1.0e-07   |-
           24 (  0.9%) between  1.0e-07 and  2.0e-07   |-
           80 (  3.0%) between  2.0e-07 and  5.0e-07   |-
          104 (  4.0%) between  5.0e-07 and  1.0e-06   |-
           32 (  1.2%) between  1.0e-06 and  2.0e-06   |-
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
          144 (  5.5%) between  5.0e-06 and  1.0e-05   |--
          480 ( 18.3%) between  1.0e-05 and  2.0e-05   |----
          360 ( 13.7%) between  2.0e-05 and  5.0e-05   |---
          264 ( 10.0%) between  5.0e-05 and  1.0e-04   |---
          256 (  9.7%) between  1.0e-04 and  2.0e-04   |--
            8 (  0.3%) between  2.0e-04 and  5.0e-04   |-
          288 ( 11.0%) between  5.0e-04 and  1.0e-03   |---
            0 (  0.0%) between  1.0e-03 and  2.0e-03   |
            0 (  0.0%) between  2.0e-03 and  5.0e-03   |
            0 (  0.0%) between  5.0e-03 and  1.0e-02   |
            0 (  0.0%) between  1.0e-02 and  2.0e-02   |
            0 (  0.0%) between  2.0e-02 and  5.0e-02   |
            0 (  0.0%) between  5.0e-02 and  1.0e-01   |
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   7.3599e-04
    avg dist =   1.1354e-04
    rms dist =   2.4963e-04
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/compare2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
          318 ( 12.1%)                    <  2.0e-08   |---
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
           16 (  0.6%) between  1.0e-06 and  2.0e-06   |-
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
           20 (  0.8%) between  5.0e-06 and  1.0e-05   |-
           18 (  0.7%) between  1.0e-05 and  2.0e-05   |-
           90 (  3.4%) between  2.0e-05 and  5.0e-05   |-
           26 (  1.0%) between  5.0e-05 and  1.0e-04   |-
           36 (  1.4%) between  1.0e-04 and  2.0e-04   |-
           62 (  2.4%) between  2.0e-04 and  5.0e-04   |-
          127 (  4.8%) between  5.0e-04 and  1.0e-03   |-
          129 (  4.9%) between  1.0e-03 and  2.0e-03   |-
          281 ( 10.7%) between  2.0e-03 and  5.0e-03   |---
          284 ( 10.8%) between  5.0e-03 and  1.0e-02   |---
          409 ( 15.6%) between  1.0e-02 and  2.0e-02   |----
          716 ( 27.2%) between  2.0e-02 and  5.0e-02   |----+-
           98 (  3.7%) between  5.0e-02 and  1.0e-01   |-
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   6.2173e-02
    avg dist =   1.4301e-02
    rms dist =   2.1276e-02
          318 ( 12.1%)                    <  2.0e-08   |---
            0 (  0.0%) between  2.0e-08 and  5.0e-08   |
            0 (  0.0%) between  5.0e-08 and  1.0e-07   |
            0 (  0.0%) between  1.0e-07 and  2.0e-07   |
            0 (  0.0%) between  2.0e-07 and  5.0e-07   |
            0 (  0.0%) between  5.0e-07 and  1.0e-06   |
           16 (  0.6%) between  1.0e-06 and  2.0e-06   |-
            0 (  0.0%) between  2.0e-06 and  5.0e-06   |
           20 (  0.8%) between  5.0e-06 and  1.0e-05   |-
           18 (  0.7%) between  1.0e-05 and  2.0e-05   |-
           90 (  3.4%) between  2.0e-05 and  5.0e-05   |-
           26 (  1.0%) between  5.0e-05 and  1.0e-04   |-
           36 (  1.4%) between  1.0e-04 and  2.0e-04   |-
           62 (  2.4%) between  2.0e-04 and  5.0e-04   |-
          127 (  4.8%) between  5.0e-04 and  1.0e-03   |-
          129 (  4.9%) between  1.0e-03 and  2.0e-03   |-
          281 ( 10.7%) between  2.0e-03 and  5.0e-03   |---
          284 ( 10.8%) between  5.0e-03 and  1.0e-02   |---
          409 ( 15.6%) between  1.0e-02 and  2.0e-02   |----
          716 ( 27.2%) between  2.0e-02 and  5.0e-02   |----+-
           98 (  3.7%) between  5.0e-02 and  1.0e-01   |-
            0 (  0.0%) between  1.0e-01 and  2.0e-01   |
            0 (  0.0%) between  2.0e-01 and  5.0e-01   |
            0 (  0.0%) between  5.0e-01 and  1.0e+00   |
            0 (  0.0%) between  1.0e+00 and  2.0e+00   |
            0 (  0.0%) between  2.0e+00 and  5.0e+00   |
            0 (  0.0%)       >  5.0e+00                |
         2630 total
    max dist =   6.2173e-02
    avg dist =   1.4301e-02
    rms dist =   2.1276e-02
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/complex_rotn1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/complex_rotn2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cone.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cones3x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cones3y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cones3z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cones4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cones.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conex_faux.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conexm.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conexp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/coney_faux.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/coneym.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/coneyp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conez_faux.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conezm.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/conezp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect8a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect8b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect8c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect8d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect9a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect9b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect9c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connect9d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connector1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connector2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connector3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/connector4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/contains1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (internal_error) in Branch Brch_000432 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000432 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        UNION did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000479 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000479 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        UNION did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000526 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000526 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/contains.udc:20]]
        UNION did not create a Body
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully with 22 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/copyFuselageSections.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/copyWingSections.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/createBEM.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csm0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csm1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csm2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csm3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_csystem) in Branch Brch_000005 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:27]]
        Csystem "error1" has zero length dirn1
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000009 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:33]]
        Csystem "error2" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000013 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:39]]
        Csystem "error3" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000017 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:45]]
        Csystem "error4" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000021 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:51]]
        Csystem "error5" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000025 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:57]]
        Csystem "error6" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000029 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:63]]
        Csystem "error7" has zero length dirn1
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:69]]
        Csystem "error8" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
ERROR:: (illegal_csystem) in Branch Brch_000037 at [[../../OpenCSM/trunk/data/basic/csystem4.csm:75]]
        Csystem "error9" has zero length dirn2
    --> catching signal -227 (illegal_csystem)
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/csystem5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cutter1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cutter2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderBEM.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinder.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinder_fins.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders3x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders3y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders3z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinders.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderxm.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderxp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderym.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderyp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderzm.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/cylinderzp.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen01.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
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+ for i in '$CSMFILES'
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+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : ../../OpenCSM/trunk/data/basic/demo0b.step(1875 ents)  Write  Done
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
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+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
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+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo2.csm
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+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo4.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
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+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0q.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0u.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0v.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0w.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design8a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design8b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design8c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design8d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB3.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB4.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB5.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1a.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1b.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2a.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2b.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3a.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3b.csm
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
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 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designE9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designEa.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designEb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF0bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2sr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designG6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designH1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designH2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designH3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designH4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designI1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designI2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designI3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designI4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/despmtr1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/despmtr2a.csm
ERROR:: (illegal_value)
        values must only contain numbers
ERROR:: problem in ocsmLoad
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/despmtr2b.csm
ERROR:: (illegal_value)
        values must only contain numbers
ERROR:: problem in ocsmLoad
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/despmtr3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/diamond.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/diamondNaca6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dictionary.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_pmtr_name) in Branch Brch_000001 at [[../../OpenCSM/trunk/data/basic/dictionary.csm:4]]
        "DX" is not defined when evaluating "DX"
ERROR:: problem evaluating argument 4 (DX) for Branch 1 (box)
ERROR:: build not completed because error -246 (illegal_pmtr_name) was detected
ERROR:: build() detected -246 (illegal_pmtr_name)
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/displayFilter.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop0c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droop3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/droopWing.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4xy_neg.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4xy_pos.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4yz_neg.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4yz_pos.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4zx_neg.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct4zx_pos.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/duct5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dumbbell.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump1e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump1s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump2e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump2s.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump3e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump5e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump6e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/dump_union2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : dump_4.STEP(966 ents)  Write  Done
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrBug.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrD.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrE.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrEE.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrF.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrFF.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrFile2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrFile3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/editAttrFile3.csm:56]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrFile4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
       nothing currently selected
       nothing currently selected
       nothing currently selected
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   5   6
       current Faces selected:   5   6
       current Faces selected:   5   6
       current Faces selected:   5   6
       current Faces selected:   5   6
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   1
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   2
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   3
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   4
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   5
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
       current Faces selected:   6
ERROR:: (face_not_found) in Branch Brch_000013 at [[../../OpenCSM/trunk/data/basic/editAttrFile4.csm:75]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
Body    2
            _body                =    2 
            _brch                =   11 
            _tParams             =    0.09354     0.02806    20.00000 
            __@@nchange__        =   11.00000 
    inode nedge ibody     x             y             z
        1     3     1      0.00000      0.00000      1.00000
             Edges ->     1     2    10
             Faces ->     1     3     6
            _nodeID              =    1 
            _nedge               =    3 
        2     3     1      0.00000      0.00000      0.00000
             Edges ->     1     4     9
             Faces ->     1     3     5
            _nodeID              =    2 
            _nedge               =    3 
        3     3     1      0.00000      2.00000      1.00000
             Edges ->     2     3    12
             Faces ->     1     4     6
            _nodeID              =    3 
            _nedge               =    3 
        4     3     1      0.00000      2.00000      0.00000
             Edges ->     3     4    11
             Faces ->     1     4     5
            _nodeID              =    4 
            _nedge               =    3 
        5     3     1      3.00000      0.00000      1.00000
             Edges ->     5     6    10
             Faces ->     2     3     6
            _nodeID              =    5 
            _nedge               =    3 
        6     3     1      3.00000      0.00000      0.00000
             Edges ->     5     8     9
             Faces ->     2     3     5
            _nodeID              =    6 
            _nedge               =    3 
        7     3     1      3.00000      2.00000      1.00000
             Edges ->     6     7    12
             Faces ->     2     4     6
            _nodeID              =    7 
            _nedge               =    3 
        8     3     1      3.00000      2.00000      0.00000
             Edges ->     7     8    11
             Faces ->     2     4     5
            _nodeID              =    8 
            _nedge               =    3 
    iedge  ibeg  iend ileft irite nface ibody iford imark
        1     2     1     1     3     2     1   103    -1
             Nodes ->     1     2
             Faces ->     1     3
            _body                =    1   103 
            _edgeID              =    1     1     1     3     1 
            _nface               =    2 
        2     1     3     1     6     2     1   106    -1
             Nodes ->     3     1
             Faces ->     1     6
            _body                =    1   106 
            _edgeID              =    1     1     1     6     1 
            _nface               =    2 
        3     4     3     4     1     2     1   401    -1
             Nodes ->     3     4
             Faces ->     1     4
            _body                =    1   401 
            _edgeID              =    1     1     1     4     1 
            _nface               =    2 
        4     2     4     5     1     2     1   501    -1
             Nodes ->     4     2
             Faces ->     1     5
            _body                =    1   501 
            _edgeID              =    1     1     1     5     1 
            _nface               =    2 
        5     6     5     3     2     2     1   302    -1
             Nodes ->     5     6
             Faces ->     2     3
            _body                =    1   302 
            _edgeID              =    1     2     1     3     1 
            _nface               =    2 
        6     5     7     6     2     2     1   602    -1
             Nodes ->     7     5
             Faces ->     2     6
            _body                =    1   602 
            _edgeID              =    1     2     1     6     1 
            _nface               =    2 
        7     8     7     2     4     2     1   204    -1
             Nodes ->     7     8
             Faces ->     2     4
            _body                =    1   204 
            _edgeID              =    1     2     1     4     1 
            _nface               =    2 
        8     6     8     2     5     2     1   205    -1
             Nodes ->     8     6
             Faces ->     2     5
            _body                =    1   205 
            _edgeID              =    1     2     1     5     1 
            _nface               =    2 
        9     2     6     3     5     2     1   305    -1
             Nodes ->     6     2
             Faces ->     3     5
            _body                =    1   305 
            _edgeID              =    1     3     1     5     1 
            _nface               =    2 
       10     1     5     6     3     2     1   603    -1
             Nodes ->     5     1
             Faces ->     3     6
            _body                =    1   603 
            _edgeID              =    1     3     1     6     1 
            _nface               =    2 
       11     4     8     5     4     2     1   504    -1
             Nodes ->     8     4
             Faces ->     4     5
            _body                =    1   504 
            _edgeID              =    1     4     1     5     1 
            _nface               =    2 
       12     3     7     4     6     2     1   406    -1
             Nodes ->     7     3
             Faces ->     4     6
            _body                =    1   406 
            _edgeID              =    1     4     1     6     1 
            _nface               =    2 
    iface ibody iford imark
        1     1     1    -1
             Nodes ->     1     2     3     4
             Edges ->     1     2     3     4
            _body                =    1     1 
            _brch                =    1     1 
            _hist                =    1     2 
            _faceID              =    1     1     1 
            tag1                 =xmin
            tag2                 =    1.00000 
            foo                  =irib
            bar                  =face1
        2     1     2    -1
             Nodes ->     5     6     7     8
             Edges ->     5     6     7     8
            _body                =    1     2 
            _brch                =    1     2 
            _hist                =    1     2 
            _faceID              =    1     2     1 
            tag1                 =xmax
            tag2                 =    2.00000 
            foo                  =    5.00000 
            bar                  =face2
        3     1     3    -1
             Nodes ->     6     2     5     1
             Edges ->     9     5    10     1
            _body                =    1     3 
            _brch                =    1     3 
            _hist                =    1     2 
            _faceID              =    1     3     1 
            tag1                 =ymin
            tag2                 =    3.00000 
            foo                  =5
            bar                  =face3
        4     1     4    -1
             Nodes ->     8     4     7     3
             Edges ->    11     7    12     3
            _body                =    1     4 
            _brch                =    1     4 
            _hist                =    1     2 
            _faceID              =    1     4     1 
            tag1                 =ymax
            tag2                 =    4.00000 
            bar                  =face4
        5     1     5    -1
             Nodes ->     4     2     8     6
             Edges ->     4    11     8     9
            _body                =    1     5 
            _brch                =    1     5 
            _hist                =    1     2 
            _faceID              =    1     5     1 
            tag1                 =zmin
            tag2                 =    5.00000 
            foo                  =   10.00000 
            bar                  =face5
        6     1     6    -1
             Nodes ->     3     1     7     5
             Edges ->     2    12     6    10
            _body                =    1     6 
            _brch                =    1     6 
            _hist                =    1     2 
            _faceID              =    1     6     1 
            tag1                 =zmax
            tag2                 =    6.00000 
            foo                  =   10.00000 
            bar                  =face6
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrFile.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000025 at [[../../OpenCSM/trunk/data/basic/editAttrFile.csm:63]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrN.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrOverwrite.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/editAttrWild.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/elbow1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/elbow2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ellipse1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ellipses.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ellipsoid1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           8.37758000
    arg2 =           0.00000000
 pct err =         100.00000000
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ellipsoid2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/empty.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error0.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error0.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_pmtr_name) in Branch box at [[../../OpenCSM/trunk/data/basic/error0.csm:21]]
        "zminBAD" is not defined when evaluating "zmax-zminBAD"
ERROR:: problem evaluating argument 6 (zmax-zminBAD) for Branch 1 (box)
ERROR:: build not completed because error -246 (illegal_pmtr_name) was detected
ERROR:: build() detected -246 (illegal_pmtr_name)
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error1.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error1.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_pmtr_name) in Branch Brch_000002 at [[../../OpenCSM/trunk/data/basic/error1.csm:28]]
        "radiusBAD" is not defined when evaluating "feat[2,2]+radiusBAD"
ERROR:: problem evaluating argument 3 (feat[2,2]+radiusBAD) for Branch 2 (skbeg)
ERROR:: build not completed because error -246 (illegal_pmtr_name) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error2.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error2.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_pmtr_name) in Branch Brch_000005 at [[../../OpenCSM/trunk/data/basic/error2.csm:33]]
        "radiusBAD" is not defined when evaluating "feat[1,2]+radiusBAD"
ERROR:: problem evaluating argument 6 (feat[1,2]+radiusBAD) for Branch 5 (cirarc)
ERROR:: build not completed because error -246 (illegal_pmtr_name) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error3.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error3.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_token_sequence) in Branch Brch_000009 at [[../../OpenCSM/trunk/data/basic/error3.csm:38]]
        could not parse "0.10BAD"
ERROR:: BAD STATUS = -244 from str2rpn (called from str2vals:44454)
ERROR:: problem evaluating argument 3 (0.10BAD) for Branch 9 (translate)
ERROR:: build not completed because error -244 (illegal_token_sequence) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error4.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error4.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_token_sequence) in Branch Brch_000011 at [[../../OpenCSM/trunk/data/basic/error4.csm:42]]
        could not parse "0.50BAD"
ERROR:: BAD STATUS = -244 from str2rpn (called from str2vals:44454)
ERROR:: problem evaluating argument 2 (0.50BAD) for Branch 11 (set)
ERROR:: build not completed because error -244 (illegal_token_sequence) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/error5.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/error5.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_value) in Branch Brch_000022 at [[../../OpenCSM/trunk/data/basic/error5.csm:56]]
        SUBTRACT only created 1 Bodys but index=99
ERROR:: build not completed because error -225 (illegal_value) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/evaluate1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/evaluate2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/expressions.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (func_arg_out_of_bounds) in Branch Brch_000152 at [[../../OpenCSM/trunk/data/basic/expressions.csm:169]]
        ibeg must be be between 1 and strlen(str) when evaluating "slice(e3,0,999)"
ERROR:: problem evaluating argument 2 (slice(e3,0,999)) for Branch 152 (set)
    --> catching signal -258 (func_arg_out_of_bounds)
ERROR:: (func_arg_out_of_bounds) in Branch Brch_000158 at [[../../OpenCSM/trunk/data/basic/expressions.csm:176]]
        ibeg must be be between 1 and strlen(str) when evaluating "slice(e3,14,999)"
ERROR:: problem evaluating argument 2 (slice(e3,14,999)) for Branch 158 (set)
    --> catching signal -258 (func_arg_out_of_bounds)
ERROR:: (func_arg_out_of_bounds) in Branch Brch_000164 at [[../../OpenCSM/trunk/data/basic/expressions.csm:183]]
        iend must not be less than ibeg when evaluating "slice(e3,4,-1)"
ERROR:: problem evaluating argument 2 (slice(e3,4,-1)) for Branch 164 (set)
    --> catching signal -258 (func_arg_out_of_bounds)
ERROR:: (UNKNOWN) in Branch Brch_001664 at [[../../OpenCSM/trunk/data/basic/expressions.csm:1765]]
        signal 1 thrown by user
    --> catching signal 1 (UNKNOWN)
ERROR:: (illegal_value) in Branch Brch_001672 at [[../../OpenCSM/trunk/data/basic/expressions.csm:1775]]
        more than one dx, dy, and dz can be zero
    --> catching signal -225 (illegal_value)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extract1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extract2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (wrong_types_on_stack) in Branch Brch_000003 at [[../../OpenCSM/trunk/data/basic/extract2.csm:10]]
        EXTRACT expects a SheetBody or a SolidBody
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (face_not_found) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/extract2.csm:17]]
        Face index (99) is out of range
    --> catching signal -222 (face_not_found)
ERROR:: (edge_not_found) in Branch Brch_000013 at [[../../OpenCSM/trunk/data/basic/extract2.csm:24]]
        Edge index (-99) is out of range
    --> catching signal -223 (edge_not_found)
ERROR:: (did_not_create_body) in Branch Brch_000020 at [[../../OpenCSM/trunk/data/basic/extract2.csm:33]]
        Faces in EXTRACT are not contiguous
    --> catching signal -214 (did_not_create_body)
ERROR:: (did_not_create_body) in Branch Brch_000031 at [[../../OpenCSM/trunk/data/basic/extract2.csm:46]]
        Edges in EXTRACT are not contiguous
    --> catching signal -214 (did_not_create_body)
ERROR:: (illegal_value) in Branch Brch_000096 at [[../../OpenCSM/trunk/data/basic/extract2.csm:133]]
        all entries in entList must have same sign
    --> catching signal -225 (illegal_value)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extract3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrudeA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrude.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/extrudeWithHoles.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceOrder1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/faceOrder1.csm:12]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000011 at [[../../OpenCSM/trunk/data/basic/faceOrder1.csm:16]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceOrder2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/faceOrder2.csm:12]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000011 at [[../../OpenCSM/trunk/data/basic/faceOrder2.csm:16]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceOrder3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000021 at [[../../OpenCSM/trunk/data/basic/faceOrder3.csm:25]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/faceOrder3.csm:29]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000079 at [[../../OpenCSM/trunk/data/basic/faceOrder3.csm:94]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000142 at [[../../OpenCSM/trunk/data/basic/faceOrder3.csm:169]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceOrder4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000021 at [[../../OpenCSM/trunk/data/basic/faceOrder4a.csm:25]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/faceOrder4a.csm:29]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000063 at [[../../OpenCSM/trunk/data/basic/faceOrder4a.csm:74]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000110 at [[../../OpenCSM/trunk/data/basic/faceOrder4a.csm:129]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceOrder4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (face_not_found) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/faceOrder4b.csm:37]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000036 at [[../../OpenCSM/trunk/data/basic/faceOrder4b.csm:41]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000103 at [[../../OpenCSM/trunk/data/basic/faceOrder4b.csm:118]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
ERROR:: (face_not_found) in Branch Brch_000178 at [[../../OpenCSM/trunk/data/basic/faceOrder4b.csm:205]]
        SELECT specified nonexistant Face
    --> catching signal -222 (face_not_found)
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceunion1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceunion2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceunion3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/faceunion4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/farfield1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fauxFillet1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fauxFillet2.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/fauxFillet2.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_geomerr) in Branch Brch_000013 at [[../../OpenCSM/trunk/data/basic/fauxFillet2.csm:27]]
        FILLET failed
ERROR:: build not completed because error -21 (egads_geomerr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filenotfound.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/filenotfound.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_notfound) in Branch Brch_000001 at [[../../OpenCSM/trunk/data/basic/filenotfound.csm:4]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
ERROR:: build() detected -1 (egads_notfound)
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fillet9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletBox1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletBox2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletBox3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/filletBox4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fin1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fin1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fin2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fin2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fin3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           0.00000000
    arg2 =           1.00000000
 abs err =          -1.00000000
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve4h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fitCurve6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flap1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flap2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flap3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flap4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flap5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend2c.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/flend2c.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
 udpExecute: nlistA=2 and nlistB=3
ebodys[0]
oclass0= 25 (body)  mtype0=  9 (solidbody)  obj=27e9950,  eref0=0 (0:0)
< refcount= 1, refobj=282a2c0  (oclass=26 (model) mtype= 0)
. oclass1= 24 (shell)  mtype1=  4 (closed)  obj=281dc40,  eref1=0 (0:0)
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=281db40,  eref2=28200b0 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=281c2f0,  eref3=28200b0 (12:6)
. . . < senses=-1 -1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d5c0,  eref4=281ef70 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d600,  eref4=281efb0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d640,  eref4=281eff0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d680,  eref4=281f030 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=281db80,  eref2=28202d0 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=281c330,  eref3=28202d0 (12:6)
. . . < senses= 1  1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281c240,  eref4=281f070 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d600,  eref4=281efb0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281c280,  eref4=281f0b0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d680,  eref4=281f030 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=281dbc0,  eref2=28204f0 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=281c370,  eref3=0 (0:0)
. . . < senses= 1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d5c0,  eref4=281ef70 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281c280,  eref4=281f0b0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccb0,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281ccf0,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . oclass2= 23 (face)  mtype2= -1 (sreverse)  obj=281dc00,  eref2=28205e0 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=281c3b0,  eref3=0 (0:0)
. . . < senses=-1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281d640,  eref4=281eff0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=281c240,  eref4=281f070 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd70,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=281cd30,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
ebodys[1]
oclass0= 25 (body)  mtype0=  9 (solidbody)  obj=2826c10,  eref0=0 (0:0)
< refcount= 1, refobj=282a2c0  (oclass=26 (model) mtype= 0)
. oclass1= 24 (shell)  mtype1=  4 (closed)  obj=2828700,  eref1=0 (0:0)
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=28285c0,  eref2=282b6e0 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=2829250,  eref3=282b6e0 (12:6)
. . . < senses=-1 -1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2828fd0,  eref4=282a4d0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829010,  eref4=282a510 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829050,  eref4=282a550 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829090,  eref4=282a590 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=2828600,  eref2=282b900 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=2829290,  eref3=282b900 (12:6)
. . . < senses= 1  1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=28290d0,  eref4=282a5d0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829010,  eref4=282a510 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829110,  eref4=282a610 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829090,  eref4=282a590 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=28292d0,  eref3=282b900 (12:6)
. . . < senses= 1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829150,  eref4=282a650 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=28270d0,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827110,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829190,  eref4=282a690 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827150,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827110,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=28291d0,  eref4=282a6d0 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=28270d0,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827150,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=2828640,  eref2=282bb20 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=2828500,  eref3=282bb20 (12:6)
. . . < senses=-1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829150,  eref4=282a650 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=28270d0,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827110,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=28291d0,  eref4=282a6d0 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=28270d0,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827150,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829190,  eref4=282a690 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827150,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827110,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=2828680,  eref2=282bd40 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=2828540,  eref3=0 (0:0)
. . . < senses= 1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2828fd0,  eref4=282a4d0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829110,  eref4=282a610 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2826fd0,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827010,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . oclass2= 23 (face)  mtype2= -1 (sreverse)  obj=28286c0,  eref2=282be30 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=2828580,  eref3=0 (0:0)
. . . < senses=-1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=2829050,  eref4=282a550 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=28290d0,  eref4=282a5d0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827090,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=2827050,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
ERROR:: (udp_error1) in Branch Brch_000021 at [[../../OpenCSM/trunk/data/basic/flend2c.csm:38]]
        EGADS status = -281
ERROR:: build not completed because error -281 (udp_error1) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend2d.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/flend2d.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
 udpExecute: nlistA=3 and nlistB=2
ebodys[0]
oclass0= 25 (body)  mtype0=  9 (solidbody)  obj=27da7a0,  eref0=0 (0:0)
< refcount= 1, refobj=27fac80  (oclass=26 (model) mtype= 0)
. oclass1= 24 (shell)  mtype1=  4 (closed)  obj=27eec50,  eref1=0 (0:0)
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27eeb10,  eref2=27f14c0 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27ee960,  eref3=27f14c0 (12:6)
. . . < senses=-1 -1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee6e0,  eref4=27f0280 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee720,  eref4=27f02c0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee760,  eref4=27f0300 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee7a0,  eref4=27f0340 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27eeb50,  eref2=27f16e0 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27ee9a0,  eref3=27f16e0 (12:6)
. . . < senses= 1  1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee7e0,  eref4=27f0380 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee720,  eref4=27f02c0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee820,  eref4=27f03c0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee7a0,  eref4=27f0340 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27ee9e0,  eref3=27f16e0 (12:6)
. . . < senses= 1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee860,  eref4=27f0400 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee620,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee660,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee8a0,  eref4=27f0440 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee6a0,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee660,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee8e0,  eref4=27f0480 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee620,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee6a0,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27eeb90,  eref2=27f1900 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27eea20,  eref3=27f1900 (12:6)
. . . < senses=-1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee860,  eref4=27f0400 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee620,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee660,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee8e0,  eref4=27f0480 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee620,  data5=    1.0000000000e+00     1.0000000000e+00    -2.1000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee6a0,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee8a0,  eref4=27f0440 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee6a0,  data5=    1.0000000000e+00     1.0000000000e+00    -9.0000000000e-01
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ee660,  data5=    8.0000000000e-01     4.0000000000e-01    -1.5000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27eebd0,  eref2=27f1b20 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27eea60,  eref3=0 (0:0)
. . . < senses= 1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee6e0,  eref4=27f0280 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee820,  eref4=27f03c0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed660,  data5=   -3.8347585053e-17     2.0000000000e+00    -3.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6a0,  data5=    4.0574162480e-16     0.0000000000e+00    -3.0000000000e+00
. . oclass2= 23 (face)  mtype2= -1 (sreverse)  obj=27eec10,  eref2=27f1c10 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27eeaa0,  eref3=0 (0:0)
. . . < senses=-1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee760,  eref4=27f0300 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27ee7e0,  eref4=27f0380 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed720,  data5=   -2.2204460493e-16     2.0000000000e+00    -1.3596310734e-32
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27ed6e0,  data5=    2.2204460493e-16     0.0000000000e+00     1.3596310734e-32
ebodys[1]
oclass0= 25 (body)  mtype0=  9 (solidbody)  obj=27f9bc0,  eref0=0 (0:0)
< refcount= 1, refobj=27fac80  (oclass=26 (model) mtype= 0)
. oclass1= 24 (shell)  mtype1=  4 (closed)  obj=27f1270,  eref1=0 (0:0)
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27fbfb0,  eref2=27fe370 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27fb6b0,  eref3=27fe370 (12:6)
. . . < senses=-1 -1  1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa300,  eref4=27fad00 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa340,  eref4=27f12b0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa380,  eref4=27f12f0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb5c0,  eref4=27f1330 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27f1190,  eref2=27fe590 (12:6)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27fbec0,  eref3=27fe590 (12:6)
. . . < senses= 1  1 -1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb600,  eref4=27f1370 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa340,  eref4=27f12b0 (11:1)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb640,  eref4=27f13b0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb5c0,  eref4=27f1330 (11:8)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . oclass2= 23 (face)  mtype2=  1 (sforward)  obj=27f11d0,  eref2=27fe7b0 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27fbf00,  eref3=0 (0:0)
. . . < senses= 1  1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa300,  eref4=27fad00 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb640,  eref4=27f13b0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b00,  data5=    3.0000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b40,  data5=    3.0000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . oclass2= 23 (face)  mtype2= -1 (sreverse)  obj=27f1210,  eref2=27fe8a0 (12:1)
. . . oclass3= 22 (loop)  mtype3=  4 (closed)  obj=27fbf40,  eref3=0 (0:0)
. . . < senses=-1 -1  
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fa380,  eref4=27f12f0 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . oclass4= 21 (edge)  mtype4=  2 (twonode)  obj=27fb600,  eref4=27f1370 (11:2)
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27fa280,  data5=    1.1000000000e+00     1.0000000000e+00    -1.0000000000e+00
. . . . . oclass5= 20 (node)  mtype5=  0,  obj=27f9b80,  data5=    1.1000000000e+00     1.0000000000e+00    -2.0000000000e+00
ERROR:: (udp_error1) in Branch Brch_000021 at [[../../OpenCSM/trunk/data/basic/flend2d.csm:38]]
        EGADS status = -281
ERROR:: build not completed because error -281 (udp_error1) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flend5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
emodel contains 2 Bodys
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowaround1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowaround2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowaround3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowthru1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowthru2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/flowthru3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeform6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeformBox.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/freeformCyl.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/frustrum.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fun3d_demo.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuselage8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/fuseStruct.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged1b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged1b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000020 at [[../../OpenCSM/trunk/data/basic/ganged1b.csm:36]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged2b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged2b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/ganged2b.csm:37]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged3b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged3b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/ganged3b.csm:37]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged4b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged4b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000019 at [[../../OpenCSM/trunk/data/basic/ganged4b.csm:30]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged5b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged5b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000019 at [[../../OpenCSM/trunk/data/basic/ganged5b.csm:30]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged6b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged6b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000023 at [[../../OpenCSM/trunk/data/basic/ganged6b.csm:33]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/ganged7a.csm:16]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/ganged7b.csm:16]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/ganged7c.csm:19]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7d.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ganged7d.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Not implemented for this Rev of OCC (EG_generalBoolean)!
ERROR:: (egads_notfound) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/ganged7d.csm:19]]
        EGADS status = -1
ERROR:: build not completed because error -1 (egads_notfound) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ganged7i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gen_rot.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/getattr1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/getattr2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/glass.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gliderMultiModel.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gouge.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gougedBox.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
--> applyDisplacement(ipmtr=1) -> status=0 (success)
==> applyDisplacement CPUtime=     0.014 sec
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gougedCylinder.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
--> applyDisplacement(ipmtr=1) -> status=0 (success)
==> applyDisplacement CPUtime=     0.028 sec
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/group1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/group2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/group3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/group4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/group5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/guide1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/guide1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/guide2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/guide2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/guide3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gyroid.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/helix.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hex1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hex2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hex3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hinge2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hinge2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hinge2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hinge2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hinge2e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hingex.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/hingex.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_geomerr) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/hingex.csm:13]]
        FILLET failed
ERROR:: build not completed because error -21 (egads_geomerr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hingey.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hingez.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/histDist1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/histDist1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hole1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hole2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hole3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hole4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/holes1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/holes2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow0c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow0d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow8a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow8b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9f.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/hollow9f.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: MakeThickSolid Exception (EG_hollowBody)!
               BRepAlgo_AsDes::Remove
ERROR:: BAD STATUS = -23 from EG_hollowBody (called from buildApplied:20009)
ERROR:: build terminated early due to BAD STATUS = -23 (egads_consterr) from buildApplied (called from ocsmBuild:7212)
ERROR:: build not completed because error -23 (egads_consterr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9h.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/hollow9h.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: MakeOffsetShape Exception (EG_hollowBody)!
              
ERROR:: BAD STATUS = -23 from EG_hollowBody (called from buildApplied:20009)
ERROR:: build terminated early due to BAD STATUS = -23 (egads_consterr) from buildApplied (called from ocsmBuild:7212)
ERROR:: build not completed because error -23 (egads_consterr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollow9i.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/hollow9i.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Invalid faceMap (EG_hollowBody)!
ERROR:: BAD STATUS = -23 from EG_hollowBody (called from buildApplied:20009)
ERROR:: build terminated early due to BAD STATUS = -23 (egads_consterr) from buildApplied (called from ocsmBuild:7212)
ERROR:: build not completed because error -23 (egads_consterr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowB9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowBA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowBB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowC9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowCA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowCB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowD1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowD1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowD2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowD3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowD3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowFuselage.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/hollowWing.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/implicitStrings.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 183 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
Total number of loaded entities : 49.
Total number of loaded entities : 29.
Total number of loaded entities : 53.
Total number of loaded entities : 29.
Total number of loaded entities : 49.
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 183 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 183 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/import7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/importAttr.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/imprint1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/imprint2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/imprint3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/imprint4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/inclinedOval.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/insideOut.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/insideOut.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (self_intersecting) in Branch Brch_000028 at [[../../OpenCSM/trunk/data/basic/insideOut.csm:31]]
        Self-intersection detected in Sketch
ERROR:: BAD STATUS = -238 from skend (called from buildSketch:29083)
ERROR:: build not completed because error -238 (self_intersecting) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect4j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect5f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect6f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersectAll.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/intersectAll.csm:50]]
        INTERSECT expects at least one SolidBody
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/intersectAll.csm:50]]
        INTERSECT expects at least one SolidBody
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/intersectAll.csm:50]]
        INTERSECT expects at least one SolidBody
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/intersectAll.csm:50]]
        INTERSECT expects at least one SolidBody
    --> catching signal -213 (wrong_types_on_stack)
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/intersect.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinblend1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinblend2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinblend3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinblend4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/join.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinSheets6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires2e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/joinWires.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/kulfan1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/kulfan2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/kulfan3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/kulfan4.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/kulfan4.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_geomerr) in Branch Brch_000004 at [[../../OpenCSM/trunk/data/basic/kulfan4.csm:17]]
        EGADS status = -21
ERROR:: build not completed because error -21 (egads_geomerr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/L1T2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/largeSketch.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 20 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/loft7q.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/lofts1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/lofts2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/lofts3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/marks_on_stack.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/match1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/match2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/match3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/matchBodys4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mechanism1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1xy.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1yz.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror1zx.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror2x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror2y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror2z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror3x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror3y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/mirror3z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/miter1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/morph0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/morph1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/morph1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/morph1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/morph2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multiBody1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multiBody2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multiBody3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multiBody4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multiBody5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multipart1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/multipart2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca456.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca4blend.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca4extrude.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca4rule.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca6i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/naca.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacaHiAR.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacameanline2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacameanline.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacas2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacas3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacas.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacawing2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacawing3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacawing.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nacelle1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/names.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nearbodygrid.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nodeAttribute.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nodebody_on_stack.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nosecone1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nosecone2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nozzle1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : nozzle.step(1025 ents)  Write  Done
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nozzle2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           4.63546000
    arg2 =           4.88530831
 pct err =          -5.38993553
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nudge6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nurbbody0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/nurbbody1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/orbiter0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 80 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/orbiter1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 80 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/orbiter2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 80 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/outpmtr1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/overlaps1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (internal_error) in Branch Brch_000013 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000013 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        INTERSECT did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000033 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000033 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        INTERSECT did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000053 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000053 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        INTERSECT did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000073 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000073 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        INTERSECT did not create a Body
    --> catching signal -214 (did_not_create_body)
ERROR:: (internal_error) in Branch Brch_000093 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000093 at [[/jenkins/workspace/ESP_Coverage/ESP/LINUX64/udc/overlaps.udc:12]]
        INTERSECT did not create a Body
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/package1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/panel1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 26 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/panel2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/panel3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_notfound) in Branch Brch_000003 at [[../../OpenCSM/trunk/data/basic/panel3.csm:10]]
        EGADS status = -1
    --> catching signal -1 (egads_notfound)
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec1blend.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec1extrude.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec1rule.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec2blend.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec2extrude.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/parsec2rule.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern1f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern2e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pattern3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/persist1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/persist2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (node_not_found) in Branch Brch_000061 at [[../../OpenCSM/trunk/data/basic/persist2.csm:127]]
        SELECT specified nonexistant Node
    --> catching signal -224 (node_not_found)
ERROR:: (node_not_found) in Branch Brch_000074 at [[../../OpenCSM/trunk/data/basic/persist2.csm:146]]
        SELECT specified nonexistant Node
    --> catching signal -224 (node_not_found)
ERROR:: (node_not_found) in Branch Brch_000081 at [[../../OpenCSM/trunk/data/basic/persist2.csm:156]]
        SELECT specified nonexistant Node
    --> catching signal -224 (node_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pin.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7F0F8A825740 EGADS Internal: Face 17 -> Renormalizing 0, ntris = 154 (154)!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plateBeam.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plateBEM.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pmtrtest.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pod1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pod2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/poly1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/poly1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/poly2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/poly3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/poly4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/polygons.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/popup1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/popup2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/posts1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/posts2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/posts3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/posts4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/primitives.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/project1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/project2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/project3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/propeller1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/propeller2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pyramid2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/pyramid.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/quad1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/quad2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/quad3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/quad4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/radwaf1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/radwaf2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/radwaf3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/radwaf4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/radwaf5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rebuild1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rebuild2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/recall.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reload1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_notfound) in Branch Brch_000001 at [[../../OpenCSM/trunk/data/basic/reload1a.csm:7]]
        EGADS status = -1
    --> catching signal -1 (egads_notfound)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reload1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder0l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder0r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder1l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder1r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder2r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder3r.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/reorder4f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/restore0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/restore1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve0x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve0y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve1x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve1y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve2x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve2y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve3x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve3y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve4x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve4y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve5x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve5y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve6x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve6y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve7x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve7y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve8x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve8y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve9x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve9y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveB.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveC.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolve.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/revolveWithHoles.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ridge.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/robins1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 12 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/robins2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 49 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/robins3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 68 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/robins4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 68 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/robins5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rot30x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rot30y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rot30z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rotor1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : rotor1.stp(819 ents)  Write  Done
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rotor2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : rotor2.stp(1125 ents)  Write  Done
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rotor3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : rotor3.stp(1004 ents)  Write  Done
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7F526C7CC700 Face 8: Quad tri = 31 Zero Area!
7F525A7FC700 Face 20: Quad tri = 31 Zero Area!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7FF043544700 Face 8: Quad tri = 31 Zero Area!
7FF0397FA700 Face 20: Quad tri = 31 Zero Area!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7FC5BAFFD700 Face 20: Quad tri = 15 Zero Area!
7FC5BBFFF700 Face 18: Quad tri = 31 Zero Area!
7FC5EA430700 Face 6: Quad tri = 31 Zero Area!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 10 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7FDC867FC700 Face 20: Quad tri = 15 Zero Area!
7FDC9E214700 Face 6: Quad tri = 31 Zero Area!
7FDC877FE700 Face 18: Quad tri = 31 Zero Area!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 9 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7F3B0F7FE700 Face 1: Quad tri = 31 Zero Area!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7F0AF4FF9700 Face 1: Quad tri = 482 Zero Area!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7F29F0858700 Face 11: Quad tri = 15 Zero Area!
7F29FAAD3740 Face 23: Quad tri = 15 Zero Area!
7F295A7FC700 Face 1: Quad tri = 31 Zero Area!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 10 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 8 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =          11.53750000
    arg2 =          11.26666667
 abs err =           0.27083333
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
7F8679A1E700 Face 11: Quad tri = 15 Zero Area!
7F867921D700 Face 23: Quad tri = 15 Zero Area!
7F86037FE700 Face 1: Quad tri = 31 Zero Area!
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 9 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule11p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule1bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule1bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule1sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule1ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule2bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule2bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule2sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule2ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule3bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule3bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule3sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule3ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule4bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule4bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule4sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule4ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule5bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule5bs.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule5sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule5ss.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7k.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7l.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7m.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7n.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7o.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7p.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule7q.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule9a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule9b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule9c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ruleA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 15 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/ruleWithHoles.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/ruleWithHoles.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (errors_in_bodys_on_stack) in Branch Brch_000017 at [[../../OpenCSM/trunk/data/basic/ruleWithHoles.csm:27]]
        expecting 1 Loop but found 3
ERROR:: build not completed because error -217 (errors_in_bodys_on_stack) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sample1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
freePrivateData(this is test private data)
freePrivateData(this is test private data)
freePrivateData(this is test private data)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sample2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
freePrivateData(this is test private data)
freePrivateData(this is test private data)
freePrivateData(this is test private data)
freePrivateData(this is test private data)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sample3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
freePrivateData(this is test private data)
freePrivateData(this is test private data)
freePrivateData(this is test private data)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sample.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scarf1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scarf2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scarf3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scarf4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scoop.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe10.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribe9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribedCylinder.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/scribeWing.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sculpt0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select0x.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select0y.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select0z.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select1a.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/select1a.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           0.78352146
    arg2 =           0.80000000
 abs err =          -0.01647854
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select1b.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/select1b.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           0.78352146
    arg2 =           0.80000000
 abs err =          -0.01647854
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (body_not_found) in Branch Brch_000018 at [[../../OpenCSM/trunk/data/basic/select5.csm:69]]
        more than one Body matches SELECT
    --> catching signal -221 (body_not_found)
ERROR:: (body_not_found) in Branch Brch_000022 at [[../../OpenCSM/trunk/data/basic/select5.csm:74]]
        more than one Body matches SELECT
    --> catching signal -221 (body_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (body_not_found) in Branch Brch_000014 at [[../../OpenCSM/trunk/data/basic/select7.csm:27]]
        SELECT specifies nonexistant Body
    --> catching signal -221 (body_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select8.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/select9.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/selectColor.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/selectSort1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/selectSort2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sens3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/set1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sew1.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/sew1.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : sew1.stp(350 ents)  Write  Done
  STEP Reader Info: Using millimetre
  STEP Reader Info: Using millimetre
 udpExecute: there are    6 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   1 selected for processing
             there are   12 manifold     Edges in Body   1 after sewing
             there are    0 non-manifold Edges in Body   1 after sewing
Total number of loaded entities : 49.
Total number of loaded entities : 49.
 udpExecute: there are    6 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   1 selected for processing
             there are   12 manifold     Edges in Body   1 after sewing
             there are    0 non-manifold Edges in Body   1 after sewing
    arg1 =           2.00000000
    arg2 =           3.00000000
 abs err =          -1.00000000
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sew2.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/sew2.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : sew1.stp(350 ents)  Write  Done
  STEP Reader Info: Using millimetre
  STEP Reader Info: Using millimetre
 udpExecute: there are    6 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   1 selected for processing
             there are   12 manifold     Edges in Body   1 after sewing
             there are    0 non-manifold Edges in Body   1 after sewing
Total number of loaded entities : 49.
Total number of loaded entities : 49.
 udpExecute: there are    6 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   1 selected for processing
             there are   12 manifold     Edges in Body   1 after sewing
             there are    0 non-manifold Edges in Body   1 after sewing
    arg1 =           2.00000000
    arg2 =           3.00000000
 abs err =          -1.00000000
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet01.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet02.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet03.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet04.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet05.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet06.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet07.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet08.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet09.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet10.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet11.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 12 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet12.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet13.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sheet14.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/signal1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_value) in Branch Brch_000001 at [[../../OpenCSM/trunk/data/basic/signal1.csm:5]]
        vertex and base must be different
    --> catching signal -225 (illegal_value)
ERROR:: (UNKNOWN) in Branch Brch_000007 at [[../../OpenCSM/trunk/data/basic/signal1.csm:19]]
        signal 12345 thrown by user
    --> catching signal 12345 (UNKNOWN)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skbeg1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skbeg2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon0b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon0c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon0d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon0e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon1g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon2e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon3f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon4g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon5f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon6d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon7a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon7c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon7d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon8f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skcon9g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch0.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch1.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/sketch1.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (non_coplanar_sketch_points) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/sketch1.csm:11]]
        Sketch points must be coplanar
ERROR:: BAD STATUS = -234 from skend (called from buildSketch:29079)
ERROR:: build not completed because error -234 (non_coplanar_sketch_points) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch2.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/sketch2.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (non_coplanar_sketch_points) in Branch Brch_000008 at [[../../OpenCSM/trunk/data/basic/sketch2.csm:11]]
        Sketch points must be coplanar
ERROR:: BAD STATUS = -234 from skend (called from buildSketch:29079)
ERROR:: build not completed because error -234 (non_coplanar_sketch_points) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sketch6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix1_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix2_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix3_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix4_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 4 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix5_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/skfix6_inc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sliceWing.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/snake1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 9 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (not_converged) in Branch Brch_000024 at [[../../OpenCSM/trunk/data/basic/solver3.csm:32]]
        maximum iterations exceeded in SOLEND
ERROR:: build not completed because error -277 (not_converged) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (not_converged) in Branch Brch_000038 at [[../../OpenCSM/trunk/data/basic/solver4.csm:82]]
        maximum iterations exceeded in SOLEND
    --> catching signal -277 (not_converged)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/solver6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereCone1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereCone2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereCone2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereCone2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereConeCyl.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphere.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphere_faux.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sphereScribe.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spheres.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spinner.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spline1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spline2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/split1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/splitFlap.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 5 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spoiler1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spoiler2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/spoiler3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sslope4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stag1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stag2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/star5.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/star5.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
 EGADS Error: Can't do SBO Fusion (EG_solidBoolean)!
ERROR:: (internal_error) in Branch Brch_000026 at [[../../OpenCSM/trunk/data/basic/star5.csm:36]]
        max trys exceeded in solidBoolean
ERROR:: (did_not_create_body) in Branch Brch_000026 at [[../../OpenCSM/trunk/data/basic/star5.csm:36]]
        UNION did not create a Body
ERROR:: build not completed because error -214 (did_not_create_body) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stiffener1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stiffener2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stl1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stl3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/stl4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/store1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/store2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/store3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/store4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/strut1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/strut2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4i.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract4j.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5g.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract5h.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
7FD533AD6740 Face 1: NM Node = 5, Loops = 3/-1 1/1!
7FD533AD6740 Face 1: NM Node = 4, Loops = 3/-1 1/1!
7FD533AD6740 EGADS Internal: Face 1 -> Renormalizing 0, ntris = 510 (0)!
7FD533AD6740 EGADS Internal: Face 1 -> Renormalizing 1, ntris = 510 (0)!
7FD533AD6740 EGADS Internal: Face 1 -> Renormalizing 2, ntris = 510 (0)!
ERROR:: (did_not_create_body) in Branch Brch_000012 at [[../../OpenCSM/trunk/data/basic/subtract6b.csm:18]]
        Loop for Bodyr intersects a Loop in Bodyl
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (did_not_create_body) in Branch Brch_000012 at [[../../OpenCSM/trunk/data/basic/subtract6c.csm:18]]
        in-plane SUBTRACTION of SheetBodys failed
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (did_not_create_body) in Branch Brch_000012 at [[../../OpenCSM/trunk/data/basic/subtract6d.csm:18]]
        INTERSECTION did not create a Body
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (did_not_create_body) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/subtract6e.csm:16]]
        in-plane SUBTRACTION of SheetBodys failed
    --> catching signal -214 (did_not_create_body)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6g.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/subtract6g.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6h.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/subtract6h.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtract6i.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/subtract6i.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/subtractAll.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/subtractAll.csm:50]]
        unsupported combination of Body types to SUBTRACT
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/subtractAll.csm:50]]
        unsupported combination of Body types to SUBTRACT
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/subtractAll.csm:50]]
        unsupported combination of Body types to SUBTRACT
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/subtractAll.csm:50]]
        unsupported combination of Body types to SUBTRACT
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/subtractAll.csm:50]]
        unsupported combination of Body types to SUBTRACT
    --> catching signal -213 (wrong_types_on_stack)
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell5.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell6a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/supell6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sweep0a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sweep1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sweep2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sweep3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =          -0.37120300
    arg2 =           0.14846821
 pct err =         139.99650000
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/sweep4a.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/sweep4a.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 EGADS Error: BRepOffsetAPI_MakePipe Exception (EG_sweep)!
              TopoDS_Builder::Add
ERROR:: BAD STATUS = -21 from EG_sweep (called from buildGrown:25430)
ERROR:: build terminated early due to BAD STATUS = -21 (egads_geomerr) from buildGrown (called from ocsmBuild:7208)
ERROR:: build not completed because error -21 (egads_geomerr) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/swirl.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1e.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat1f.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat2d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat3c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat3d.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Ba.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Bc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Bd.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Sa.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Sc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat4Sd.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Ba.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Bb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Bc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Bd.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Sa.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Sb.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Sc.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/tiptreat5Sd.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/torus.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/torus_faux.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transition1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transition2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transition3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transition4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (egads_geomerr) in Branch Brch_000015 at [[../../OpenCSM/trunk/data/basic/transition4.csm:33]]
        EG_blend returned an error
    --> catching signal -21 (egads_geomerr)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 2                      ******
** WorkSession : Sending all data
 Step File Name : transport1.stp(38481 ents)  Write  Done
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport1c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
 udpExecute: there are   63 Faces to sew with toler=0.000000
             body   1 contains    63 Faces
             body   1 selected for processing
             there are  150 manifold     Edges in Body   1 after sewing
             there are   12 non-manifold Edges in Body   1 after sewing
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
******        Transferring Shape, ShapeType = 3                      ******

*******************************************************************
******        Statistics on Transfer (Write)                 ******

*******************************************************************
******        Transfer Mode = 0  I.E.  As Is       ******
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** WorkSession : Sending all data
 Step File Name : transport2.stp(51276 ents)  Write  Done
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
==> serveCSM completed successfully with 25 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/transport2c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using millimetre
 udpExecute: there are   63 Faces to sew with toler=0.000000
             body   1 contains    63 Faces
             body   1 selected for processing
             there are  150 manifold     Edges in Body   1 after sewing
             there are   12 non-manifold Edges in Body   1 after sewing
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/turnang.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/twist2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/twist.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 3 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/twoboxes.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcMulti.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcString.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcTest1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcTest1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcTest2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcTest3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udcTest4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udfPrintTest.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
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    Face   20   x:  -3.25000   -2.75000   y:   0.66667    0.66667   z:  -0.99778    0.99778
    Face   21   x:  -3.25000   -2.75000   y:  -0.00000    0.72159   z:  -1.29887   -0.99778
    Face   22   x:  -3.25000   -2.75000   y:  -0.72159    0.00000   z:  -1.29887   -0.99778
    Face   23   x:   3.25000    3.25000   y:  -1.08239    1.08239   z:  -1.08239    1.08239
    Face   24   x:  -3.25000   -3.25000   y:  -0.72159    0.72159   z:  -1.29887    1.29887

Body   10
            _body                =   10 
            _brch                =   11 
            _tParams             =    0.18317     0.05495    20.00000 
    inode nedge ibody     x             y             z
        1     4     7      2.65000      0.00000      0.15000
             Edges ->     1     2     5     7
             Faces ->     1     2     3     5
            _nedge               =    4 
            _nodeID              =    1 
        2     4     4     -2.65000      0.00000      0.15000
             Edges ->     1     3     6    10
             Faces ->     1     2     4     6
            _nedge               =    4 
            _nodeID              =    2 
        3     4     7      2.65000      0.00000     -0.15000
             Edges ->     2     4     5     9
             Faces ->     1     2     3     5
            _nedge               =    4 
            _nodeID              =    3 
        4     4     4     -2.65000      0.00000     -0.15000
             Edges ->     3     4     6    12
             Faces ->     1     2     4     6
            _nedge               =    4 
            _nodeID              =    4 
        5     3     7      2.75000      0.00000      0.25000
             Edges ->     7     8    13
             Faces ->     3     5     7
            _nedge               =    3 
            _nodeID              =    5 
        6     3     7      2.75000      0.00000     -0.25000
             Edges ->     8     9    13
             Faces ->     3     5     7
            _nedge               =    3 
            _nodeID              =    6 
        7     3     4     -2.75000      0.00000      0.25000
             Edges ->    10    11    14
             Faces ->     4     6     8
            _nedge               =    3 
            _nodeID              =    7 
        8     3     4     -2.75000      0.00000     -0.25000
             Edges ->    11    12    14
             Faces ->     4     6     8
            _nedge               =    3 
            _nodeID              =    8 
        9     3     9      2.75000     -1.00000     -0.66332
             Edges ->    15    22    31
             Faces ->     7     9    16
            _nedge               =    3 
            _nodeID              =    9 
       10     3     9      2.75000     -1.00000      0.66332
             Edges ->    15    16    30
             Faces ->     7     9    10
            _nedge               =    3 
            _nodeID              =   10 
       11     3     9      2.75000     -0.66332      1.00000
             Edges ->    16    17    32
             Faces ->     7    10    11
            _nedge               =    3 
            _nodeID              =   11 
       12     3     9      2.75000      0.66332      1.00000
             Edges ->    17    18    34
             Faces ->     7    11    12
            _nedge               =    3 
            _nodeID              =   12 
       13     3     9      2.75000      1.00000      0.66332
             Edges ->    18    19    36
             Faces ->     7    12    13
            _nedge               =    3 
            _nodeID              =   13 
       14     3     9      2.75000      1.00000     -0.66332
             Edges ->    19    20    39
             Faces ->     7    13    14
            _nedge               =    3 
            _nodeID              =   14 
       15     3     9      2.75000      0.66332     -1.00000
             Edges ->    20    21    40
             Faces ->     7    14    15
            _nedge               =    3 
            _nodeID              =   15 
       16     3     9      2.75000     -0.66332     -1.00000
             Edges ->    21    22    43
             Faces ->     7    15    16
            _nedge               =    3 
            _nodeID              =   16 
       17     3     9     -2.75000     -0.66667     -0.99778
             Edges ->    23    28    47
             Faces ->     8    17    22
            _nedge               =    3 
            _nodeID              =   17 
       18     3     9     -2.75000     -0.66667      0.99778
             Edges ->    23    24    45
             Faces ->     8    17    18
            _nedge               =    3 
            _nodeID              =   18 
       19     3     9     -2.75000      0.00000      1.20000
             Edges ->    24    25    49
             Faces ->     8    18    19
            _nedge               =    3 
            _nodeID              =   19 
       20     3     9     -2.75000      0.66667      0.99778
             Edges ->    25    26    51
             Faces ->     8    19    20
            _nedge               =    3 
            _nodeID              =   20 
       21     3     9     -2.75000      0.66667     -0.99778
             Edges ->    26    27    53
             Faces ->     8    20    21
            _nedge               =    3 
            _nodeID              =   21 
       22     3     9     -2.75000     -0.00000     -1.20000
             Edges ->    27    28    54
             Faces ->     8    21    22
            _nedge               =    3 
            _nodeID              =   22 
       23     3     9      3.25000     -1.00000     -0.66332
             Edges ->    29    31    44
             Faces ->     9    16    23
            _nedge               =    3 
            _nodeID              =   23 
       24     3     9      3.25000     -1.00000      0.66332
             Edges ->    29    30    33
             Faces ->     9    10    23
            _nedge               =    3 
            _nodeID              =   24 
       25     3     9      3.25000     -0.66332      1.00000
             Edges ->    32    33    35
             Faces ->    10    11    23
            _nedge               =    3 
            _nodeID              =   25 
       26     3     9      3.25000      0.66332      1.00000
             Edges ->    34    35    37
             Faces ->    11    12    23
            _nedge               =    3 
            _nodeID              =   26 
       27     3     9      3.25000      1.00000      0.66332
             Edges ->    36    37    38
             Faces ->    12    13    23
            _nedge               =    3 
            _nodeID              =   27 
       28     3     9      3.25000      1.00000     -0.66332
             Edges ->    38    39    41
             Faces ->    13    14    23
            _nedge               =    3 
            _nodeID              =   28 
       29     3     9      3.25000      0.66332     -1.00000
             Edges ->    40    41    42
             Faces ->    14    15    23
            _nedge               =    3 
            _nodeID              =   29 
       30     3     9      3.25000     -0.66332     -1.00000
             Edges ->    42    43    44
             Faces ->    15    16    23
            _nedge               =    3 
            _nodeID              =   30 
       31     3     9     -3.25000     -0.66667      0.99778
             Edges ->    45    46    48
             Faces ->    17    18    24
            _nedge               =    3 
            _nodeID              =   31 
       32     3     9     -3.25000     -0.66667     -0.99778
             Edges ->    46    47    56
             Faces ->    17    22    24
            _nedge               =    3 
            _nodeID              =   32 
       33     3     9     -3.25000      0.00000      1.20000
             Edges ->    48    49    50
             Faces ->    18    19    24
            _nedge               =    3 
            _nodeID              =   33 
       34     3     9     -3.25000      0.66667      0.99778
             Edges ->    50    51    52
             Faces ->    19    20    24
            _nedge               =    3 
            _nodeID              =   34 
       35     3     9     -3.25000      0.66667     -0.99778
             Edges ->    52    53    55
             Faces ->    20    21    24
            _nedge               =    3 
            _nodeID              =   35 
       36     3     9     -3.25000     -0.00000     -1.20000
             Edges ->    54    55    56
             Faces ->    21    22    24
            _nedge               =    3 
            _nodeID              =   36 
    iedge  ibeg  iend ileft irite nface ibody iford imark
        1     2     1     2     1     2     1   403    -1
             Nodes ->     1     2
             Faces ->     1     2
            _body                =    1   403 
            _nface               =    2 
            _edgeID              =    1     3     1     4     2 
        2     1     3     3     1     2     7     0    -1
             Nodes ->     1     3
             Faces ->     1     3
            _body                =    7     0 
            _nface               =    2 
            _edgeID              =    1     3     7     3     1 
        3     2     4     1     4     2     4     0    -1
             Nodes ->     2     4
             Faces ->     1     4
            _body                =    4     0 
            _nface               =    2 
            _edgeID              =    1     3     4     3     1 
        4     4     3     1     2     2     1   304    -1
             Nodes ->     3     4
             Faces ->     1     2
            _body                =    1   304 
            _nface               =    2 
            _edgeID              =    1     3     1     4     1 
        5     3     1     5     2     2     7     0    -1
             Nodes ->     3     1
             Faces ->     2     5
            _body                =    7     0 
            _nface               =    2 
            _edgeID              =    1     4     7     5     1 
        6     4     2     2     6     2     4     0    -1
             Nodes ->     4     2
             Faces ->     2     6
            _body                =    4     0 
            _nface               =    2 
            _edgeID              =    1     4     4     5     1 
        7     1     5     5     3     2     7   503    -1
             Nodes ->     1     5
             Faces ->     3     5
            _body                =    7   503 
            _nface               =    2 
            _edgeID              =    7     3     7     5     2 
        8     5     6     7     3     2     7     0    -1
             Nodes ->     5     6
             Faces ->     3     7
            _body                =    7     0 
            _nface               =    2 
            _edgeID              =    5     1     7     3     1 
        9     3     6     3     5     2     7   305    -1
             Nodes ->     3     6
             Faces ->     3     5
            _body                =    7   305 
            _nface               =    2 
            _edgeID              =    7     3     7     5     1 
       10     2     7     4     6     2     4   305    -1
             Nodes ->     2     7
             Faces ->     4     6
            _body                =    4   305 
            _nface               =    2 
            _edgeID              =    4     3     4     5     2 
       11     7     8     4     8     2     4     0    -1
             Nodes ->     7     8
             Faces ->     4     8
            _body                =    4     0 
            _nface               =    2 
            _edgeID              =    2     2     4     3     1 
       12     4     8     6     4     2     4   503    -1
             Nodes ->     4     8
             Faces ->     4     6
            _body                =    4   503 
            _nface               =    2 
            _edgeID              =    4     3     4     5     1 
       13     6     5     7     5     2     7     0    -1
             Nodes ->     6     5
             Faces ->     5     7
            _body                =    7     0 
            _nface               =    2 
            _edgeID              =    5     1     7     5     1 
       14     8     7     6     8     2     4     0    -1
             Nodes ->     8     7
             Faces ->     6     8
            _body                =    4     0 
            _nface               =    2 
            _edgeID              =    2     2     4     5     1 
       15     9    10     7     9     2     5   103    -1
             Nodes ->     9    10
             Faces ->     7     9
            _body                =    5   103 
            _nface               =    2 
            _edgeID              =    5     1     5     3     1 
       16    11    10    10     7     2     9     0    -1
             Nodes ->    11    10
             Faces ->     7    10
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     1     8     3     2 
       17    11    12     7    11     2     5   106    -1
             Nodes ->    11    12
             Faces ->     7    11
            _body                =    5   106 
            _nface               =    2 
            _edgeID              =    5     1     5     6     1 
       18    13    12    12     7     2     9     0    -1
             Nodes ->    13    12
             Faces ->     7    12
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     1     8     4     2 
       19    14    13    13     7     2     5   401    -1
             Nodes ->    14    13
             Faces ->     7    13
            _body                =    5   401 
            _nface               =    2 
            _edgeID              =    5     1     5     4     1 
       20    15    14    14     7     2     9     0    -1
             Nodes ->    15    14
             Faces ->     7    14
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     1     8     4     1 
       21    16    15    15     7     2     5   501    -1
             Nodes ->    16    15
             Faces ->     7    15
            _body                =    5   501 
            _nface               =    2 
            _edgeID              =    5     1     5     5     1 
       22     9    16    16     7     2     9     0    -1
             Nodes ->     9    16
             Faces ->     7    16
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     1     8     3     1 
       23    17    18    17     8     2     2   302    -1
             Nodes ->    17    18
             Faces ->     8    17
            _body                =    2   302 
            _nface               =    2 
            _edgeID              =    2     2     2     3     1 
       24    19    18     8    18     2     9     0    -1
             Nodes ->    19    18
             Faces ->     8    18
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     2     8     3     2 
       25    20    19     8    19     2     9     0    -1
             Nodes ->    20    19
             Faces ->     8    19
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     2     8     4     2 
       26    21    20     8    20     2     2   204    -1
             Nodes ->    21    20
             Faces ->     8    20
            _body                =    2   204 
            _nface               =    2 
            _edgeID              =    2     2     2     4     1 
       27    22    21     8    21     2     9     0    -1
             Nodes ->    22    21
             Faces ->     8    21
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     2     8     4     1 
       28    17    22     8    22     2     9     0    -1
             Nodes ->    17    22
             Faces ->     8    22
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     2     8     3     1 
       29    23    24     9    23     2     5   302    -1
             Nodes ->    23    24
             Faces ->     9    23
            _body                =    5   302 
            _nface               =    2 
            _edgeID              =    5     2     5     3     1 
       30    10    24    10     9     2     9     0    -1
             Nodes ->    10    24
             Faces ->     9    10
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     3     8     3     2 
       31     9    23     9    16     2     9     0    -1
             Nodes ->     9    23
             Faces ->     9    16
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     3     8     3     1 
       32    11    25    11    10     2     9     0    -1
             Nodes ->    11    25
             Faces ->    10    11
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     6     8     3     1 
       33    25    24    23    10     2     9     0    -1
             Nodes ->    25    24
             Faces ->    10    23
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     2     8     3     2 
       34    12    26    12    11     2     9     0    -1
             Nodes ->    12    26
             Faces ->    11    12
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     6     8     4     1 
       35    25    26    11    23     2     5   602    -1
             Nodes ->    25    26
             Faces ->    11    23
            _body                =    5   602 
            _nface               =    2 
            _edgeID              =    5     2     5     6     1 
       36    13    27    13    12     2     9     0    -1
             Nodes ->    13    27
             Faces ->    12    13
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     4     8     4     2 
       37    27    26    23    12     2     9     0    -1
             Nodes ->    27    26
             Faces ->    12    23
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     2     8     4     2 
       38    28    27    23    13     2     5   204    -1
             Nodes ->    28    27
             Faces ->    13    23
            _body                =    5   204 
            _nface               =    2 
            _edgeID              =    5     2     5     4     1 
       39    14    28    14    13     2     9     0    -1
             Nodes ->    14    28
             Faces ->    13    14
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     4     8     4     1 
       40    15    29    15    14     2     9     0    -1
             Nodes ->    15    29
             Faces ->    14    15
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     5     8     4     1 
       41    29    28    23    14     2     9     0    -1
             Nodes ->    29    28
             Faces ->    14    23
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     2     8     4     1 
       42    30    29    23    15     2     5   205    -1
             Nodes ->    30    29
             Faces ->    15    23
            _body                =    5   205 
            _nface               =    2 
            _edgeID              =    5     2     5     5     1 
       43    16    30    16    15     2     9     0    -1
             Nodes ->    16    30
             Faces ->    15    16
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     5     8     3     1 
       44    23    30    23    16     2     9     0    -1
             Nodes ->    23    30
             Faces ->    16    23
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    5     2     8     3     1 
       45    31    18    18    17     2     9     0    -1
             Nodes ->    31    18
             Faces ->    17    18
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     3     8     3     2 
       46    32    31    24    17     2     2   103    -1
             Nodes ->    32    31
             Faces ->    17    24
            _body                =    2   103 
            _nface               =    2 
            _edgeID              =    2     1     2     3     1 
       47    32    17    17    22     2     9     0    -1
             Nodes ->    32    17
             Faces ->    17    22
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     3     8     3     1 
       48    33    31    18    24     2     9     0    -1
             Nodes ->    33    31
             Faces ->    18    24
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     1     8     3     2 
       49    33    19    19    18     2     8   403    -1
             Nodes ->    33    19
             Faces ->    18    19
            _body                =    8   403 
            _nface               =    2 
            _edgeID              =    8     3     8     4     2 
       50    34    33    19    24     2     9     0    -1
             Nodes ->    34    33
             Faces ->    19    24
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     1     8     4     2 
       51    34    20    20    19     2     9     0    -1
             Nodes ->    34    20
             Faces ->    19    20
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     4     8     4     2 
       52    35    34    20    24     2     2   401    -1
             Nodes ->    35    34
             Faces ->    20    24
            _body                =    2   401 
            _nface               =    2 
            _edgeID              =    2     1     2     4     1 
       53    35    21    21    20     2     9     0    -1
             Nodes ->    35    21
             Faces ->    20    21
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     4     8     4     1 
       54    36    22    22    21     2     8   304    -1
             Nodes ->    36    22
             Faces ->    21    22
            _body                =    8   304 
            _nface               =    2 
            _edgeID              =    8     3     8     4     1 
       55    36    35    21    24     2     9     0    -1
             Nodes ->    36    35
             Faces ->    21    24
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     1     8     4     1 
       56    32    36    22    24     2     9     0    -1
             Nodes ->    32    36
             Faces ->    22    24
            _body                =    9     0 
            _nface               =    2 
            _edgeID              =    2     1     8     3     1 
    iface ibody iford imark
        1     1     3    -1
             Nodes ->     1     2     3     4
             Edges ->     1     2     3     4
            _body                =    1     3 
            _brch                =    2     3 
            shaft                =    1.00000 
            _hist                =    1     3     4     6     7     9    10 
            _faceID              =    1     3     1 
        2     1     4    -1
             Nodes ->     3     4     1     2
             Edges ->     4     5     6     1
            _body                =    1     4 
            _brch                =    2     4 
            shaft                =    1.00000 
            _hist                =    1     3     4     6     7     9    10 
            _faceID              =    1     4     1 
        3     7     3    -1
             Nodes ->     1     5     3     6
             Edges ->     7     2     8     9
            _body                =    7     3 
            _brch                =    8     3 
            _hist                =    7     9    10 
            _faceID              =    7     3     1 
        4     4     3    -1
             Nodes ->     2     7     4     8
             Edges ->    10     3    11    12
            _body                =    4     3 
            _brch                =    5     3 
            _hist                =    4     6     7     9    10 
            _faceID              =    4     3     1 
        5     7     5    -1
             Nodes ->     3     6     1     5
             Edges ->     9     5    13     7
            _body                =    7     5 
            _brch                =    8     5 
            _hist                =    7     9    10 
            _faceID              =    7     5     1 
        6     4     5    -1
             Nodes ->     4     8     2     7
             Edges ->    12     6    14    10
            _body                =    4     5 
            _brch                =    5     5 
            _hist                =    4     6     7     9    10 
            _faceID              =    4     5     1 
        7     5     1    -1
             Nodes ->     9    10    11    12    13    14    15    16     5     6
             Edges ->    15    16    17    18    19    20    21    22     8    13
            _body                =    5     1 
            _brch                =    6     1 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     1     1 
        8     2     2    -1
             Nodes ->    17    18    19    20    21    22     7     8
             Edges ->    23    24    25    26    27    28    11    14
            _body                =    2     2 
            _brch                =    3     2 
            weight               =    1.00000 
            _hist                =    2     3     4     6     7     9    10 
            _faceID              =    2     2     1 
        9     5     3    -1
             Nodes ->    23    24    10     9
             Edges ->    29    30    15    31
            _body                =    5     3 
            _brch                =    6     3 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     3     1 
       10     8     3    -1
             Nodes ->    11    25    24    10
             Edges ->    32    33    30    16
            _body                =    8     3 
            _brch                =    9     3 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     3     4 
       11     5     6    -1
             Nodes ->    11    12    26    25
             Edges ->    17    34    35    32
            _body                =    5     6 
            _brch                =    6     6 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     6     1 
       12     8     4    -1
             Nodes ->    13    27    26    12
             Edges ->    36    37    34    18
            _body                =    8     4 
            _brch                =    9     4 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     4     4 
       13     5     4    -1
             Nodes ->    28    27    13    14
             Edges ->    38    36    19    39
            _body                =    5     4 
            _brch                =    6     4 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     4     1 
       14     8     4    -1
             Nodes ->    15    29    28    14
             Edges ->    40    41    39    20
            _body                =    8     4 
            _brch                =    9     4 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     4     3 
       15     5     5    -1
             Nodes ->    16    15    29    30
             Edges ->    21    40    42    43
            _body                =    5     5 
            _brch                =    6     5 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     5     1 
       16     8     3    -1
             Nodes ->     9    23    30    16
             Edges ->    31    44    43    22
            _body                =    8     3 
            _brch                =    9     3 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     3     3 
       17     2     3    -1
             Nodes ->    17    18    31    32
             Edges ->    23    45    46    47
            _body                =    2     3 
            _brch                =    3     3 
            weight               =    1.00000 
            _hist                =    2     3     4     6     7     9    10 
            _faceID              =    2     3     1 
       18     8     3    -1
             Nodes ->    19    18    31    33
             Edges ->    24    45    48    49
            _body                =    8     3 
            _brch                =    9     3 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     3     2 
       19     8     4    -1
             Nodes ->    34    33    20    19
             Edges ->    50    51    25    49
            _body                =    8     4 
            _brch                =    9     4 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     4     2 
       20     2     4    -1
             Nodes ->    21    20    34    35
             Edges ->    26    51    52    53
            _body                =    2     4 
            _brch                =    3     4 
            weight               =    1.00000 
            _hist                =    2     3     4     6     7     9    10 
            _faceID              =    2     4     1 
       21     8     4    -1
             Nodes ->    36    22    21    35
             Edges ->    54    27    53    55
            _body                =    8     4 
            _brch                =    9     4 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     4     1 
       22     8     3    -1
             Nodes ->    36    22    32    17
             Edges ->    54    56    47    28
            _body                =    8     3 
            _brch                =    9     3 
            clipper              =    1.00000 
            _hist                =    8     9    10 
            _faceID              =    8     3     1 
       23     5     2    -1
             Nodes ->    23    24    25    26    27    28    29    30
             Edges ->    29    33    35    37    38    41    42    44
            _body                =    5     2 
            _brch                =    6     2 
            weight               =    2.00000 
            _hist                =    5     6     7     9    10 
            _faceID              =    5     2     1 
       24     2     1    -1
             Nodes ->    32    31    33    34    35    36
             Edges ->    46    48    50    52    55    56
            _body                =    2     1 
            _brch                =    3     1 
            weight               =    1.00000 
            _hist                =    2     3     4     6     7     9    10 
            _faceID              =    2     1     1 
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udparg1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/udparg.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/umbrella1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/umbrella2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/umbrella3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_A" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_B" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_C" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_C" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_O" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000051 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:82]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (name_not_found) in Branch Brch_000050 at [[../../OpenCSM/trunk/data/basic/umbrella3.csm:79]]
        storage "bar" 4 not found
ERROR:: BAD STATUS = -251 from restore (called from buildPrimitive:27580)
    --> catching signal -251 (name_not_found)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/umbrella4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_A" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_A" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_A" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_B" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_B" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_B" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_B" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_C" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_C" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_C" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_D" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_E" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_F" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_G" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_H" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_I" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_J" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_K" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_L" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_M" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_N" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_O" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_O" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_O" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_P" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Q" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_R" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_S" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_T" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_U" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_V" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_W" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_X" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Y" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
ERROR:: (illegal_attribute) in Branch Brch_000082 at [[../../OpenCSM/trunk/data/basic/umbrella4.csm:125]]
        Attribute "_csys_Z" not found
    --> catching signal -226 (illegal_attribute)
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
ERROR:: (internal_error) in Branch Brch_000010 at [[../../OpenCSM/trunk/data/basic/union3.csm:17]]
        max trys exceeded in solidBoolean
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4a1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4a2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4b1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4b2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           0.00748445
    arg2 =           0.00374223
 pct err =          49.99999005
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4c1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4c2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
    arg1 =           0.00186168
    arg2 =           0.00093084
 pct err =          49.99987819
ERROR:: build terminated early due to BAD STATUS = -239 (assert_failed) from assert (called from ocsmBuild:11822)
ERROR:: build not completed because error -239 (assert_failed) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4d1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union4d2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/union5c.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/unionAll.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
ERROR:: (wrong_types_on_stack) in Branch Brch_000033 at [[../../OpenCSM/trunk/data/basic/unionAll.csm:50]]
        UNION expects two SolidBodys or two SheetBodys on stack
    --> catching signal -213 (wrong_types_on_stack)
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle1a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle1b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle2a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle2b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle3a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle3b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle4a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle4b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle5a.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle5b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle6b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/waffle7b.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 13 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/warts.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/winding1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/winding2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/winding3.csm
*** Error in `/jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM': corrupted size vs. prev_size: 0x0000000002455aa0 ***
======= Backtrace: =========
/lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7fc0c84f37e5]
/lib/x86_64-linux-gnu/libc.so.6(+0x80dfb)[0x7fc0c84fcdfb]
/lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7fc0c850053c]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so(EG_free+0x16)[0x7fc0c9113ba1]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so(EG_solidBoolean+0x2aee)[0x7fc0c900c689]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(+0xdc7b0)[0x7fc0c95b67b0]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(+0x86c09)[0x7fc0c9560c09]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(ocsmBuild+0x12283)[0x7fc0c950dbee]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM[0x4160be]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM[0x408057]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xf0)[0x7fc0c849c830]
/jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM[0x403a59]
======= Memory map: ========
00400000-00451000 r-xp 00000000 08:10 58853443                           /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM
00651000-00652000 r--p 00051000 08:10 58853443                           /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM
00652000-00656000 rw-p 00052000 08:10 58853443                           /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM
00656000-00665000 rw-p 00000000 00:00 0 
00744000-0ab38000 rw-p 00000000 00:00 0                                  [heap]
7fc0bc000000-7fc0bc021000 rw-p 00000000 00:00 0 
7fc0bc021000-7fc0c0000000 ---p 00000000 00:00 0 
7fc0c25a7000-7fc0c25af000 r-xp 00000000 08:10 59152721                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
7fc0c25af000-7fc0c27ae000 ---p 00008000 08:10 59152721                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
7fc0c27ae000-7fc0c27af000 r--p 00007000 08:10 59152721                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
7fc0c27af000-7fc0c27b0000 rw-p 00008000 08:10 59152721                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so
7fc0c27b0000-7fc0c27b2000 rw-p 00000000 00:00 0 
7fc0c27b2000-7fc0c29fb000 r-xp 00000000 08:21 89784333                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so
7fc0c29fb000-7fc0c2bfb000 ---p 00249000 08:21 89784333                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so
7fc0c2bfb000-7fc0c2c0d000 rw-p 00249000 08:21 89784333                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so
7fc0c2c0d000-7fc0c2c18000 rw-p 00000000 00:00 0 
7fc0c2c18000-7fc0c2cc9000 r-xp 00000000 08:21 89784354                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so
7fc0c2cc9000-7fc0c2ec8000 ---p 000b1000 08:21 89784354                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so
7fc0c2ec8000-7fc0c2ece000 rw-p 000b0000 08:21 89784354                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so
7fc0c2ece000-7fc0c2ed1000 rw-p 00000000 00:00 0 
7fc0c2ed1000-7fc0c2f69000 r-xp 00000000 08:21 89784332                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so
7fc0c2f69000-7fc0c3169000 ---p 00098000 08:21 89784332                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so
7fc0c3169000-7fc0c316e000 rw-p 00098000 08:21 89784332                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so
7fc0c316e000-7fc0c3171000 rw-p 00000000 00:00 0 
7fc0c3171000-7fc0c3178000 r-xp 00000000 08:01 11144631                   /lib/x86_64-linux-gnu/librt-2.23.so
7fc0c3178000-7fc0c3377000 ---p 00007000 08:01 11144631                   /lib/x86_64-linux-gnu/librt-2.23.so
7fc0c3377000-7fc0c3378000 r--p 00006000 08:01 11144631                   /lib/x86_64-linux-gnu/librt-2.23.so
7fc0c3378000-7fc0c3379000 rw-p 00007000 08:01 11144631                   /lib/x86_64-linux-gnu/librt-2.23.so
7fc0c3379000-7fc0c3390000 r-xp 00000000 08:01 11141299                   /lib/x86_64-linux-gnu/libgcc_s.so.1
7fc0c3390000-7fc0c358f000 ---p 00017000 08:01 11141299                   /lib/x86_64-linux-gnu/libgcc_s.so.1
7fc0c358f000-7fc0c3590000 r--p 00016000 08:01 11141299                   /lib/x86_64-linux-gnu/libgcc_s.so.1
7fc0c3590000-7fc0c3591000 rw-p 00017000 08:01 11141299                   /lib/x86_64-linux-gnu/libgcc_s.so.1
7fc0c3591000-7fc0c3764000 r-xp 00000000 08:01 10223951                   /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28
7fc0c3764000-7fc0c3963000 ---p 001d3000 08:01 10223951                   /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28
7fc0c3963000-7fc0c396e000 r--p 001d2000 08:01 10223951                   /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28
7fc0c396e000-7fc0c3971000 rw-p 001dd000 08:01 10223951                   /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28
7fc0c3971000-7fc0c3974000 rw-p 00000000 00:00 0 
7fc0c3974000-7fc0c3bc3000 r-xp 00000000 08:21 89784339                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so
7fc0c3bc3000-7fc0c3dc2000 ---p 0024f000 08:21 89784339                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so
7fc0c3dc2000-7fc0c3dcb000 rw-p 0024e000 08:21 89784339                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so
7fc0c3dcb000-7fc0c3dcc000 rw-p 00000000 00:00 0 
7fc0c3dcc000-7fc0c4137000 r-xp 00000000 08:21 89784376                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so
7fc0c4137000-7fc0c4337000 ---p 0036b000 08:21 89784376                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so
7fc0c4337000-7fc0c434c000 rw-p 0036b000 08:21 89784376                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so
7fc0c434c000-7fc0c4354000 rw-p 00000000 00:00 0 
7fc0c4354000-7fc0c4591000 r-xp 00000000 08:21 89784353                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so
7fc0c4591000-7fc0c4790000 ---p 0023d000 08:21 89784353                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so
7fc0c4790000-7fc0c479f000 rw-p 0023c000 08:21 89784353                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so
7fc0c479f000-7fc0c47a5000 rw-p 00000000 00:00 0 
7fc0c47a5000-7fc0c49f5000 r-xp 00000000 08:21 89784372                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so
7fc0c49f5000-7fc0c4bf5000 ---p 00250000 08:21 89784372                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so
7fc0c4bf5000-7fc0c4c06000 rw-p 00250000 08:21 89784372                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so
7fc0c4c06000-7fc0c4c0a000 rw-p 00000000 00:00 0 
7fc0c4c0a000-7fc0c4e03000 r-xp 00000000 08:21 89784340                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so
7fc0c4e03000-7fc0c5003000 ---p 001f9000 08:21 89784340                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so
7fc0c5003000-7fc0c500c000 rw-p 001f9000 08:21 89784340                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so
7fc0c500c000-7fc0c500d000 rw-p 00000000 00:00 0 
7fc0c500d000-7fc0c5405000 r-xp 00000000 08:21 89784367                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so
7fc0c5405000-7fc0c5604000 ---p 003f8000 08:21 89784367                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so
7fc0c5604000-7fc0c5650000 rw-p 003f7000 08:21 89784367                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so
7fc0c5650000-7fc0c5654000 rw-p 00000000 00:00 0 
7fc0c5654000-7fc0c5747000 r-xp 00000000 08:21 89784356                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so
7fc0c5747000-7fc0c5947000 ---p 000f3000 08:21 89784356                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so
7fc0c5947000-7fc0c594e000 rw-p 000f3000 08:21 89784356                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so
7fc0c594e000-7fc0c594f000 rw-p 00000000 00:00 0 
7fc0c594f000-7fc0c59b1000 r-xp 00000000 08:21 89784349                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so
7fc0c59b1000-7fc0c5bb1000 ---p 00062000 08:21 89784349                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so
7fc0c5bb1000-7fc0c5bb4000 rw-p 00062000 08:21 89784349                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so
7fc0c5bb4000-7fc0c5bb5000 rw-p 00000000 00:00 0 
7fc0c5bb5000-7fc0c5c9b000 r-xp 00000000 08:21 89784374                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so
7fc0c5c9b000-7fc0c5e9b000 ---p 000e6000 08:21 89784374                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so
7fc0c5e9b000-7fc0c5ea2000 rw-p 000e6000 08:21 89784374                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so
7fc0c5ea2000-7fc0c5ea4000 rw-p 00000000 00:00 0 
7fc0c5ea4000-7fc0c60b5000 r-xp 00000000 08:21 89784336                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so
7fc0c60b5000-7fc0c62b5000 ---p 00211000 08:21 89784336                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so
7fc0c62b5000-7fc0c62bf000 rw-p 00211000 08:21 89784336                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so
7fc0c62bf000-7fc0c62c2000 rw-p 00000000 00:00 0 
7fc0c62c2000-7fc0c6314000 r-xp 00000000 08:21 89784371                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so
7fc0c6314000-7fc0c6513000 ---p 00052000 08:21 89784371                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so
7fc0c6513000-7fc0c6516000 rw-p 00051000 08:21 89784371                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so
7fc0c6516000-7fc0c660d000 r-xp 00000000 08:21 89784335                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so
7fc0c660d000-7fc0c680c000 ---p 000f7000 08:21 89784335                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so
7fc0c680c000-7fc0c6812000 rw-p 000f6000 08:21 89784335                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so
7fc0c6812000-7fc0c6a38000 r-xp 00000000 08:21 89784361                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so
7fc0c6a38000-7fc0c6c38000 ---p 00226000 08:21 89784361                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so
7fc0c6c38000-7fc0c6c45000 rw-p 00226000 08:21 89784361                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so
7fc0c6c45000-7fc0c6c49000 rw-p 00000000 00:00 0 
7fc0c6c49000-7fc0c70aa000 r-xp 00000000 08:21 89784370                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so
7fc0c70aa000-7fc0c72a9000 ---p 00461000 08:21 89784370                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so
7fc0c72a9000-7fc0c72b9000 rw-p 00460000 08:21 89784370                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so
7fc0c72b9000-7fc0c72bc000 rw-p 00000000 00:00 0 
7fc0c72bc000-7fc0c743b000 r-xp 00000000 08:21 89784348                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so
7fc0c743b000-7fc0c763b000 ---p 0017f000 08:21 89784348                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so
7fc0c763b000-7fc0c7643000 rw-p 0017f000 08:21 89784348                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so
7fc0c7643000-7fc0c771f000 r-xp 00000000 08:21 89784351                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so
7fc0c771f000-7fc0c791e000 ---p 000dc000 08:21 89784351                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so
7fc0c791e000-7fc0c7922000 rw-p 000db000 08:21 89784351                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so
7fc0c7922000-7fc0c7923000 rw-p 00000000 00:00 0 
7fc0c7923000-7fc0c7b1f000 r-xp 00000000 08:21 89784344                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so
7fc0c7b1f000-7fc0c7d1f000 ---p 001fc000 08:21 89784344                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so
7fc0c7d1f000-7fc0c7d2a000 rw-p 001fc000 08:21 89784344                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so
7fc0c7d2a000-7fc0c7d33000 rw-p 00000000 00:00 0 
7fc0c7d33000-7fc0c8067000 r-xp 00000000 08:21 89784337                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so
7fc0c8067000-7fc0c8267000 ---p 00334000 08:21 89784337                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so
7fc0c8267000-7fc0c8275000 rw-p 00334000 08:21 89784337                   /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so
7fc0c8275000-7fc0c8278000 rw-p 00000000 00:00 0 
7fc0c8278000-7fc0c827b000 r-xp 00000000 08:01 11144728                   /lib/x86_64-linux-gnu/libdl-2.23.so
7fc0c827b000-7fc0c847a000 ---p 00003000 08:01 11144728                   /lib/x86_64-linux-gnu/libdl-2.23.so
7fc0c847a000-7fc0c847b000 r--p 00002000 08:01 11144728                   /lib/x86_64-linux-gnu/libdl-2.23.so
7fc0c847b000-7fc0c847c000 rw-p 00003000 08:01 11144728                   /lib/x86_64-linux-gnu/libdl-2.23.so
7fc0c847c000-7fc0c863c000 r-xp 00000000 08:01 11144745                   /lib/x86_64-linux-gnu/libc-2.23.so
7fc0c863c000-7fc0c883c000 ---p 001c0000 08:01 11144745                   /lib/x86_64-linux-gnu/libc-2.23.so
7fc0c883c000-7fc0c8840000 r--p 001c0000 08:01 11144745                   /lib/x86_64-linux-gnu/libc-2.23.so
7fc0c8840000-7fc0c8842000 rw-p 001c4000 08:01 11144745                   /lib/x86_64-linux-gnu/libc-2.23.so
7fc0c8842000-7fc0c8846000 rw-p 00000000 00:00 0 
7fc0c8846000-7fc0c894e000 r-xp 00000000 08:01 11144748                   /lib/x86_64-linux-gnu/libm-2.23.so
7fc0c894e000-7fc0c8b4d000 ---p 00108000 08:01 11144748                   /lib/x86_64-linux-gnu/libm-2.23.so
7fc0c8b4d000-7fc0c8b4e000 r--p 00107000 08:01 11144748                   /lib/x86_64-linux-gnu/libm-2.23.so
7fc0c8b4e000-7fc0c8b4f000 rw-p 00108000 08:01 11144748                   /lib/x86_64-linux-gnu/libm-2.23.so
7fc0c8b4f000-7fc0c8b68000 r-xp 00000000 08:01 11141205                   /lib/x86_64-linux-gnu/libz.so.1.2.8
7fc0c8b68000-7fc0c8d67000 ---p 00019000 08:01 11141205                   /lib/x86_64-linux-gnu/libz.so.1.2.8
7fc0c8d67000-7fc0c8d68000 r--p 00018000 08:01 11141205                   /lib/x86_64-linux-gnu/libz.so.1.2.8
7fc0c8d68000-7fc0c8d69000 rw-p 00019000 08:01 11141205                   /lib/x86_64-linux-gnu/libz.so.1.2.8
7fc0c8d69000-7fc0c8d81000 r-xp 00000000 08:01 11144732                   /lib/x86_64-linux-gnu/libpthread-2.23.so
7fc0c8d81000-7fc0c8f80000 ---p 00018000 08:01 11144732                   /lib/x86_64-linux-gnu/libpthread-2.23.so
7fc0c8f80000-7fc0c8f81000 r--p 00017000 08:01 11144732                   /lib/x86_64-linux-gnu/libpthread-2.23.so
7fc0c8f81000-7fc0c8f82000 rw-p 00018000 08:01 11144732                   /lib/x86_64-linux-gnu/libpthread-2.23.so
7fc0c8f82000-7fc0c8f86000 rw-p 00000000 00:00 0 
7fc0c8f86000-7fc0c9240000 r-xp 00000000 08:10 59120187                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
7fc0c9240000-7fc0c943f000 ---p 002ba000 08:10 59120187                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
7fc0c943f000-7fc0c9441000 r--p 002b9000 08:10 59120187                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
7fc0c9441000-7fc0c945e000 rw-p 002bb000 08:10 59120187                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so
7fc0c945e000-7fc0c94da000 rw-p 00000000 00:00 0 
7fc0c94da000-7fc0c95ff000 r-xp 00000000 08:10 59152686                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
7fc0c95ff000-7fc0c97fe000 ---p 00125000 08:10 59152686                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
7fc0c97fe000-7fc0c97ff000 r--p 00124000 08:10 59152686                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
7fc0c97ff000-7fc0c9804000 rw-p 00125000 08:10 59152686                   /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so
7fc0c9804000-7fc0c9832000 rw-p 00000000 00:00 0 
7fc0c9832000-7fc0c9858000 r-xp 00000000 08:01 11144730                   /lib/x86_64-linux-gnu/ld-2.23.so
7fc0c9a25000-7fc0c9a36000 rw-p 00000000 00:00 0 
7fc0c9a55000-7fc0c9a57000 rw-p 00000000 00:00 0 
7fc0c9a57000-7fc0c9a58000 r--p 00025000 08:01 11144730                   /lib/x86_64-linux-gnu/ld-2.23.so
7fc0c9a58000-7fc0c9a59000 rw-p 00026000 08:01 11144730                   /lib/x86_64-linux-gnu/ld-2.23.so
7fc0c9a59000-7fc0c9a5a000 rw-p 00000000 00:00 0 
7ffd8fbf3000-7ffd8fc47000 rw-p 00000000 00:00 0                          [stack]
7ffd8fd00000-7ffd8fd02000 r--p 00000000 00:00 0                          [vvar]
7ffd8fd02000-7ffd8fd04000 r-xp 00000000 00:00 0                          [vdso]
ffffffffff600000-ffffffffff601000 r-xp 00000000 00:00 0                  [vsyscall]
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/winding3.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
/jenkins/workspace/ESP_Coverage/JenkinsESP/ESP_Coverage.sh: line 80:  7523 Aborted                 (core dumped) $ESP_ROOT/bin/serveCSM -batch -verify -outLevel 0 $i
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel4.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel5.csm
WARNING:: cannot open "../../OpenCSM/trunk/data/basic/verify_6.8.1/windtunnel5.vfy", so verification is being skipped
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: BAD STATUS = -13 from EG_solidBoolean (called from solidBoolean:41979)
ERROR:: (did_not_create_body) in Branch Brch_000023 at [[../../OpenCSM/trunk/data/basic/windtunnel5.csm:40]]
        UNION did not create a Body
ERROR:: build not completed because error -214 (did_not_create_body) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel6.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
ERROR:: BAD STATUS = -13 from EG_solidBoolean (called from solidBoolean:41979)
ERROR:: (did_not_create_body) in Branch Brch_000023 at [[../../OpenCSM/trunk/data/basic/windtunnel6.csm:40]]
        UNION did not create a Body
ERROR:: build not completed because error -214 (did_not_create_body) was detected
+ true
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/windtunnel7.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 7 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingAttrTest.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingBEM.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingFuseBEM1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingFuseBEM2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingMultiModel.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 2 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingOML.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingSew1.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using FOOT
 udpExecute: there are    6 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   1 selected for processing
             there are    8 manifold     Edges in Body   1 after sewing
             there are    8 non-manifold Edges in Body   1 after sewing
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingSew2.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using FOOT
 udpExecute: there are   12 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   2 contains     6 Faces
             body   1 selected for processing
             there are    8 manifold     Edges in Body   1 after sewing
             there are    8 non-manifold Edges in Body   1 after sewing
  STEP Reader Info: Using FOOT
 udpExecute: there are   12 Faces to sew with toler=0.000000
             body   1 contains     6 Faces
             body   2 contains     6 Faces
             body   2 selected for processing
             there are    8 manifold     Edges in Body   2 after sewing
             there are    8 non-manifold Edges in Body   2 after sewing
==> serveCSM completed successfully with 1 warnings
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingSew3.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
  STEP Reader Info: Using FOOT
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wingtip.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/wirebodyA.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/worms.csm
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
==> serveCSM completed successfully with 6 warnings
++ ls ../../OpenCSM/trunk/data/basic/design0a.csm ../../OpenCSM/trunk/data/basic/design0b.csm ../../OpenCSM/trunk/data/basic/design0c.csm ../../OpenCSM/trunk/data/basic/design0.csm ../../OpenCSM/trunk/data/basic/design0d.csm ../../OpenCSM/trunk/data/basic/design0e.csm ../../OpenCSM/trunk/data/basic/design0f.csm ../../OpenCSM/trunk/data/basic/design0g.csm ../../OpenCSM/trunk/data/basic/design0h.csm ../../OpenCSM/trunk/data/basic/design0i.csm ../../OpenCSM/trunk/data/basic/design0j.csm ../../OpenCSM/trunk/data/basic/design0k.csm ../../OpenCSM/trunk/data/basic/design0m.csm ../../OpenCSM/trunk/data/basic/design0n1.csm ../../OpenCSM/trunk/data/basic/design0n2.csm ../../OpenCSM/trunk/data/basic/design0n3.csm ../../OpenCSM/trunk/data/basic/design0n4.csm ../../OpenCSM/trunk/data/basic/design0o1.csm ../../OpenCSM/trunk/data/basic/design0o2.csm ../../OpenCSM/trunk/data/basic/design0o3.csm ../../OpenCSM/trunk/data/basic/design0o4.csm ../../OpenCSM/trunk/data/basic/design0p.csm ../../OpenCSM/trunk/data/basic/design0q.csm ../../OpenCSM/trunk/data/basic/design0r.csm ../../OpenCSM/trunk/data/basic/design0s.csm ../../OpenCSM/trunk/data/basic/design0t1.csm ../../OpenCSM/trunk/data/basic/design0t2.csm ../../OpenCSM/trunk/data/basic/design0t3.csm ../../OpenCSM/trunk/data/basic/design0u.csm ../../OpenCSM/trunk/data/basic/design0v.csm ../../OpenCSM/trunk/data/basic/design0w.csm ../../OpenCSM/trunk/data/basic/design1a.csm ../../OpenCSM/trunk/data/basic/design1b.csm ../../OpenCSM/trunk/data/basic/design2.csm ../../OpenCSM/trunk/data/basic/design3.csm ../../OpenCSM/trunk/data/basic/design4.csm ../../OpenCSM/trunk/data/basic/design5.csm ../../OpenCSM/trunk/data/basic/design6.csm ../../OpenCSM/trunk/data/basic/design7.csm ../../OpenCSM/trunk/data/basic/design8a.csm ../../OpenCSM/trunk/data/basic/design8b.csm ../../OpenCSM/trunk/data/basic/design8c.csm ../../OpenCSM/trunk/data/basic/design8.csm ../../OpenCSM/trunk/data/basic/design8d.csm ../../OpenCSM/trunk/data/basic/design9.csm ../../OpenCSM/trunk/data/basic/designA.csm ../../OpenCSM/trunk/data/basic/designB1.csm ../../OpenCSM/trunk/data/basic/designB2.csm ../../OpenCSM/trunk/data/basic/designB3.csm ../../OpenCSM/trunk/data/basic/designB4.csm ../../OpenCSM/trunk/data/basic/designB5.csm ../../OpenCSM/trunk/data/basic/designC0.csm ../../OpenCSM/trunk/data/basic/designC1a.csm ../../OpenCSM/trunk/data/basic/designC1b.csm ../../OpenCSM/trunk/data/basic/designC2a.csm ../../OpenCSM/trunk/data/basic/designC2b.csm ../../OpenCSM/trunk/data/basic/designC3a.csm ../../OpenCSM/trunk/data/basic/designC3b.csm ../../OpenCSM/trunk/data/basic/designC4a.csm ../../OpenCSM/trunk/data/basic/designC4b.csm ../../OpenCSM/trunk/data/basic/designC5a.csm ../../OpenCSM/trunk/data/basic/designC5b.csm ../../OpenCSM/trunk/data/basic/designC6a.csm ../../OpenCSM/trunk/data/basic/designC6b.csm ../../OpenCSM/trunk/data/basic/designD0a.csm ../../OpenCSM/trunk/data/basic/designD0b.csm ../../OpenCSM/trunk/data/basic/designD0c.csm ../../OpenCSM/trunk/data/basic/designD1a.csm ../../OpenCSM/trunk/data/basic/designD1b.csm ../../OpenCSM/trunk/data/basic/designD1c.csm ../../OpenCSM/trunk/data/basic/designD2a.csm ../../OpenCSM/trunk/data/basic/designD2b.csm ../../OpenCSM/trunk/data/basic/designD2c.csm ../../OpenCSM/trunk/data/basic/designD3a.csm ../../OpenCSM/trunk/data/basic/designD3b.csm ../../OpenCSM/trunk/data/basic/designD3c.csm ../../OpenCSM/trunk/data/basic/designD4a.csm ../../OpenCSM/trunk/data/basic/designD4b.csm ../../OpenCSM/trunk/data/basic/designD4c.csm ../../OpenCSM/trunk/data/basic/designD5a.csm ../../OpenCSM/trunk/data/basic/designD5b.csm ../../OpenCSM/trunk/data/basic/designD5c.csm ../../OpenCSM/trunk/data/basic/designD6a0.csm ../../OpenCSM/trunk/data/basic/designD6a1.csm ../../OpenCSM/trunk/data/basic/designD6a2.csm ../../OpenCSM/trunk/data/basic/designD6b0.csm ../../OpenCSM/trunk/data/basic/designD6b1.csm ../../OpenCSM/trunk/data/basic/designD6b2.csm ../../OpenCSM/trunk/data/basic/designD6c0.csm ../../OpenCSM/trunk/data/basic/designD6c1.csm ../../OpenCSM/trunk/data/basic/designD6c2.csm ../../OpenCSM/trunk/data/basic/designE1.csm ../../OpenCSM/trunk/data/basic/designE2.csm ../../OpenCSM/trunk/data/basic/designE3.csm ../../OpenCSM/trunk/data/basic/designE4.csm ../../OpenCSM/trunk/data/basic/designE5.csm ../../OpenCSM/trunk/data/basic/designE6.csm ../../OpenCSM/trunk/data/basic/designE7.csm ../../OpenCSM/trunk/data/basic/designE8.csm ../../OpenCSM/trunk/data/basic/designE9.csm ../../OpenCSM/trunk/data/basic/designEa.csm ../../OpenCSM/trunk/data/basic/designEb.csm ../../OpenCSM/trunk/data/basic/designF0bb.csm ../../OpenCSM/trunk/data/basic/designF1bb.csm ../../OpenCSM/trunk/data/basic/designF1rr.csm ../../OpenCSM/trunk/data/basic/designF1rs.csm ../../OpenCSM/trunk/data/basic/designF1sr.csm ../../OpenCSM/trunk/data/basic/designF1ss.csm ../../OpenCSM/trunk/data/basic/designF2bb.csm ../../OpenCSM/trunk/data/basic/designF2rr.csm ../../OpenCSM/trunk/data/basic/designF2rs.csm ../../OpenCSM/trunk/data/basic/designF2sr.csm ../../OpenCSM/trunk/data/basic/designF2ss.csm ../../OpenCSM/trunk/data/basic/designG0.csm ../../OpenCSM/trunk/data/basic/designG1.csm ../../OpenCSM/trunk/data/basic/designG2.csm ../../OpenCSM/trunk/data/basic/designG3.csm ../../OpenCSM/trunk/data/basic/designG4.csm ../../OpenCSM/trunk/data/basic/designG5.csm ../../OpenCSM/trunk/data/basic/designG6.csm ../../OpenCSM/trunk/data/basic/designH1.csm ../../OpenCSM/trunk/data/basic/designH2.csm ../../OpenCSM/trunk/data/basic/designH3.csm ../../OpenCSM/trunk/data/basic/designH4.csm ../../OpenCSM/trunk/data/basic/designI1.csm ../../OpenCSM/trunk/data/basic/designI2.csm ../../OpenCSM/trunk/data/basic/designI3.csm ../../OpenCSM/trunk/data/basic/designI4.csm ../../OpenCSM/trunk/data/basic/designJ1a.csm ../../OpenCSM/trunk/data/basic/designJ1b.csm ../../OpenCSM/trunk/data/basic/designJ1c.csm ../../OpenCSM/trunk/data/basic/designJ1d.csm ../../OpenCSM/trunk/data/basic/designJ2a.csm ../../OpenCSM/trunk/data/basic/designJ2b.csm ../../OpenCSM/trunk/data/basic/designJ3a.csm ../../OpenCSM/trunk/data/basic/designJ3b.csm ../../OpenCSM/trunk/data/basic/designJ4a.csm ../../OpenCSM/trunk/data/basic/designJ4b.csm ../../OpenCSM/trunk/data/basic/designJ5.csm
++ sort -f
+ CSMFILES='../../OpenCSM/trunk/data/basic/design0a.csm
../../OpenCSM/trunk/data/basic/design0b.csm
../../OpenCSM/trunk/data/basic/design0c.csm
../../OpenCSM/trunk/data/basic/design0.csm
../../OpenCSM/trunk/data/basic/design0d.csm
../../OpenCSM/trunk/data/basic/design0e.csm
../../OpenCSM/trunk/data/basic/design0f.csm
../../OpenCSM/trunk/data/basic/design0g.csm
../../OpenCSM/trunk/data/basic/design0h.csm
../../OpenCSM/trunk/data/basic/design0i.csm
../../OpenCSM/trunk/data/basic/design0j.csm
../../OpenCSM/trunk/data/basic/design0k.csm
../../OpenCSM/trunk/data/basic/design0m.csm
../../OpenCSM/trunk/data/basic/design0n1.csm
../../OpenCSM/trunk/data/basic/design0n2.csm
../../OpenCSM/trunk/data/basic/design0n3.csm
../../OpenCSM/trunk/data/basic/design0n4.csm
../../OpenCSM/trunk/data/basic/design0o1.csm
../../OpenCSM/trunk/data/basic/design0o2.csm
../../OpenCSM/trunk/data/basic/design0o3.csm
../../OpenCSM/trunk/data/basic/design0o4.csm
../../OpenCSM/trunk/data/basic/design0p.csm
../../OpenCSM/trunk/data/basic/design0q.csm
../../OpenCSM/trunk/data/basic/design0r.csm
../../OpenCSM/trunk/data/basic/design0s.csm
../../OpenCSM/trunk/data/basic/design0t1.csm
../../OpenCSM/trunk/data/basic/design0t2.csm
../../OpenCSM/trunk/data/basic/design0t3.csm
../../OpenCSM/trunk/data/basic/design0u.csm
../../OpenCSM/trunk/data/basic/design0v.csm
../../OpenCSM/trunk/data/basic/design0w.csm
../../OpenCSM/trunk/data/basic/design1a.csm
../../OpenCSM/trunk/data/basic/design1b.csm
../../OpenCSM/trunk/data/basic/design2.csm
../../OpenCSM/trunk/data/basic/design3.csm
../../OpenCSM/trunk/data/basic/design4.csm
../../OpenCSM/trunk/data/basic/design5.csm
../../OpenCSM/trunk/data/basic/design6.csm
../../OpenCSM/trunk/data/basic/design7.csm
../../OpenCSM/trunk/data/basic/design8a.csm
../../OpenCSM/trunk/data/basic/design8b.csm
../../OpenCSM/trunk/data/basic/design8c.csm
../../OpenCSM/trunk/data/basic/design8.csm
../../OpenCSM/trunk/data/basic/design8d.csm
../../OpenCSM/trunk/data/basic/design9.csm
../../OpenCSM/trunk/data/basic/designA.csm
../../OpenCSM/trunk/data/basic/designB1.csm
../../OpenCSM/trunk/data/basic/designB2.csm
../../OpenCSM/trunk/data/basic/designB3.csm
../../OpenCSM/trunk/data/basic/designB4.csm
../../OpenCSM/trunk/data/basic/designB5.csm
../../OpenCSM/trunk/data/basic/designC0.csm
../../OpenCSM/trunk/data/basic/designC1a.csm
../../OpenCSM/trunk/data/basic/designC1b.csm
../../OpenCSM/trunk/data/basic/designC2a.csm
../../OpenCSM/trunk/data/basic/designC2b.csm
../../OpenCSM/trunk/data/basic/designC3a.csm
../../OpenCSM/trunk/data/basic/designC3b.csm
../../OpenCSM/trunk/data/basic/designC4a.csm
../../OpenCSM/trunk/data/basic/designC4b.csm
../../OpenCSM/trunk/data/basic/designC5a.csm
../../OpenCSM/trunk/data/basic/designC5b.csm
../../OpenCSM/trunk/data/basic/designC6a.csm
../../OpenCSM/trunk/data/basic/designC6b.csm
../../OpenCSM/trunk/data/basic/designD0a.csm
../../OpenCSM/trunk/data/basic/designD0b.csm
../../OpenCSM/trunk/data/basic/designD0c.csm
../../OpenCSM/trunk/data/basic/designD1a.csm
../../OpenCSM/trunk/data/basic/designD1b.csm
../../OpenCSM/trunk/data/basic/designD1c.csm
../../OpenCSM/trunk/data/basic/designD2a.csm
../../OpenCSM/trunk/data/basic/designD2b.csm
../../OpenCSM/trunk/data/basic/designD2c.csm
../../OpenCSM/trunk/data/basic/designD3a.csm
../../OpenCSM/trunk/data/basic/designD3b.csm
../../OpenCSM/trunk/data/basic/designD3c.csm
../../OpenCSM/trunk/data/basic/designD4a.csm
../../OpenCSM/trunk/data/basic/designD4b.csm
../../OpenCSM/trunk/data/basic/designD4c.csm
../../OpenCSM/trunk/data/basic/designD5a.csm
../../OpenCSM/trunk/data/basic/designD5b.csm
../../OpenCSM/trunk/data/basic/designD5c.csm
../../OpenCSM/trunk/data/basic/designD6a0.csm
../../OpenCSM/trunk/data/basic/designD6a1.csm
../../OpenCSM/trunk/data/basic/designD6a2.csm
../../OpenCSM/trunk/data/basic/designD6b0.csm
../../OpenCSM/trunk/data/basic/designD6b1.csm
../../OpenCSM/trunk/data/basic/designD6b2.csm
../../OpenCSM/trunk/data/basic/designD6c0.csm
../../OpenCSM/trunk/data/basic/designD6c1.csm
../../OpenCSM/trunk/data/basic/designD6c2.csm
../../OpenCSM/trunk/data/basic/designE1.csm
../../OpenCSM/trunk/data/basic/designE2.csm
../../OpenCSM/trunk/data/basic/designE3.csm
../../OpenCSM/trunk/data/basic/designE4.csm
../../OpenCSM/trunk/data/basic/designE5.csm
../../OpenCSM/trunk/data/basic/designE6.csm
../../OpenCSM/trunk/data/basic/designE7.csm
../../OpenCSM/trunk/data/basic/designE8.csm
../../OpenCSM/trunk/data/basic/designE9.csm
../../OpenCSM/trunk/data/basic/designEa.csm
../../OpenCSM/trunk/data/basic/designEb.csm
../../OpenCSM/trunk/data/basic/designF0bb.csm
../../OpenCSM/trunk/data/basic/designF1bb.csm
../../OpenCSM/trunk/data/basic/designF1rr.csm
../../OpenCSM/trunk/data/basic/designF1rs.csm
../../OpenCSM/trunk/data/basic/designF1sr.csm
../../OpenCSM/trunk/data/basic/designF1ss.csm
../../OpenCSM/trunk/data/basic/designF2bb.csm
../../OpenCSM/trunk/data/basic/designF2rr.csm
../../OpenCSM/trunk/data/basic/designF2rs.csm
../../OpenCSM/trunk/data/basic/designF2sr.csm
../../OpenCSM/trunk/data/basic/designF2ss.csm
../../OpenCSM/trunk/data/basic/designG0.csm
../../OpenCSM/trunk/data/basic/designG1.csm
../../OpenCSM/trunk/data/basic/designG2.csm
../../OpenCSM/trunk/data/basic/designG3.csm
../../OpenCSM/trunk/data/basic/designG4.csm
../../OpenCSM/trunk/data/basic/designG5.csm
../../OpenCSM/trunk/data/basic/designG6.csm
../../OpenCSM/trunk/data/basic/designH1.csm
../../OpenCSM/trunk/data/basic/designH2.csm
../../OpenCSM/trunk/data/basic/designH3.csm
../../OpenCSM/trunk/data/basic/designH4.csm
../../OpenCSM/trunk/data/basic/designI1.csm
../../OpenCSM/trunk/data/basic/designI2.csm
../../OpenCSM/trunk/data/basic/designI3.csm
../../OpenCSM/trunk/data/basic/designI4.csm
../../OpenCSM/trunk/data/basic/designJ1a.csm
../../OpenCSM/trunk/data/basic/designJ1b.csm
../../OpenCSM/trunk/data/basic/designJ1c.csm
../../OpenCSM/trunk/data/basic/designJ1d.csm
../../OpenCSM/trunk/data/basic/designJ2a.csm
../../OpenCSM/trunk/data/basic/designJ2b.csm
../../OpenCSM/trunk/data/basic/designJ3a.csm
../../OpenCSM/trunk/data/basic/designJ3b.csm
../../OpenCSM/trunk/data/basic/designJ4a.csm
../../OpenCSM/trunk/data/basic/designJ4b.csm
../../OpenCSM/trunk/data/basic/designJ5.csm'
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "x1" for ibody=5
    d(Face)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "x2" for ibody=5
    d(Face)/d(x2) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "x3" for ibody=5
    d(Face)/d(x3) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "x4"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "x4" for ibody=5
    d(Face)/d(x4) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "x5"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "x5" for ibody=5
    d(Face)/d(x5) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "y1" for ibody=5
    d(Face)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "y2" for ibody=5
    d(Face)/d(y2) check complete with        0 total errors (errmax=  2.8756e-11)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  2.8756e-11)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "y3" for ibody=5
    d(Face)/d(y3) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "y4"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "y4" for ibody=5
    d(Face)/d(y4) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "y5"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "y5" for ibody=5
    d(Face)/d(y5) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "z1" for ibody=5
    d(Face)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "z2" for ibody=5
    d(Face)/d(z2) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "z3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "z3" for ibody=5
    d(Face)/d(z3) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.119 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "x1"
*********************************************************

Generating perturbed configuration with delta-x1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "x2"
*********************************************************

Generating perturbed configuration with delta-x2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "x3"
*********************************************************

Generating perturbed configuration with delta-x3[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(x3) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "x4"
*********************************************************

Generating perturbed configuration with delta-x4[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "x5"
*********************************************************

Generating perturbed configuration with delta-x5[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(x5) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y1"
*********************************************************

Generating perturbed configuration with delta-y1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y2"
*********************************************************

Generating perturbed configuration with delta-y2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y3"
*********************************************************

Generating perturbed configuration with delta-y3[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y4"
*********************************************************

Generating perturbed configuration with delta-y4[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y5"
*********************************************************

Generating perturbed configuration with delta-y5[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "z1"
*********************************************************

Generating perturbed configuration with delta-z1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "z2"
*********************************************************

Generating perturbed configuration with delta-z2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "z3"
*********************************************************

Generating perturbed configuration with delta-z3[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.052 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.4410e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "depth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.135 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "x1"
*********************************************************

Generating perturbed configuration with delta-x1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "x2"
*********************************************************

Generating perturbed configuration with delta-x2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "x3"
*********************************************************

Generating perturbed configuration with delta-x3[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "y1"
*********************************************************

Generating perturbed configuration with delta-y1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "y2"
*********************************************************

Generating perturbed configuration with delta-y2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "y3"
*********************************************************

Generating perturbed configuration with delta-y3[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "depth"
*********************************************************

Generating perturbed configuration with delta-depth[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=8

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.131 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "xbeg1" for ibody=3
iface=   2, ipnt= 138 (Y): anal=  -0.00000000,  fd=  -0.00246116,  err=   0.00246116 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 138 (Z): anal=   0.00000000,  fd=   0.00080404,  err=  -0.00080404 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 144 (Y): anal=  -0.00000000,  fd=  -0.00246116,  err=   0.00246116 (at    1.62606034   -0.47528014    0.15527006)
iface=   2, ipnt= 144 (Z): anal=   0.00000000,  fd=   0.00080404,  err=  -0.00080404 (at    1.62606034   -0.47528014    0.15527006)
iface=   5, ipnt=  35 (X): anal=  -0.00000000,  fd=  -0.00282954,  err=   0.00282954 (at    1.37393966   -0.47528014    0.15527006)
iface=   5, ipnt=  35 (Z): anal=   0.00000000,  fd=   0.00348518,  err=  -0.00348518 (at    1.37393966   -0.47528014    0.15527006)
iface=   6, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00282954,  err=  -0.00282954 (at    1.62606034   -0.47528014    0.15527006)
iface=   6, ipnt=  18 (Z): anal=   0.00000000,  fd=   0.00348518,  err=  -0.00348518 (at    1.62606034   -0.47528014    0.15527006)
    d(Face)/d(xbeg1) check complete with        8 total errors (errmax=  3.4852e-03)
iedge=   6, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00258643,  err=   0.00258643 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00152077,  err=   0.00152077 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00368256,  err=  -0.00368256 (at    1.37393966   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00258643,  err=  -0.00258643 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00152077,  err=   0.00152077 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00368256,  err=  -0.00368256 (at    1.62606034   -0.47528014    0.15527006)
    d(Edge)/d(xbeg1) check complete with        6 total errors (errmax=  3.6826e-03)
    d(Node)/d(xbeg1) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "ybeg1" for ibody=3
    d(Face)/d(ybeg1) check complete with        0 total errors (errmax=  1.3598e-05)
    d(Edge)/d(ybeg1) check complete with        0 total errors (errmax=  1.3367e-05)
    d(Node)/d(ybeg1) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "zbeg1" for ibody=3
    d(Face)/d(zbeg1) check complete with        0 total errors (errmax=  1.3707e-05)
    d(Edge)/d(zbeg1) check complete with        0 total errors (errmax=  1.3380e-05)
    d(Node)/d(zbeg1) check complete with        0 total errors (errmax=  1.2990e-06)
 

*********************************************************
Starting configuration sensitivity wrt "xend1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "xend1" for ibody=3
    d(Face)/d(xend1) check complete with        0 total errors (errmax=  1.3603e-05)
    d(Edge)/d(xend1) check complete with        0 total errors (errmax=  1.3371e-05)
    d(Node)/d(xend1) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "rad1" for ibody=3
iface=   2, ipnt= 134 (Y): anal=  -0.99350638,  fd=  -0.99372954,  err=   0.00022316 (at    1.30826129   -0.49675319   -0.05688820)
iface=   2, ipnt= 135 (Y): anal=  -0.99990372,  fd=  -0.99863571,  err=  -0.00126800 (at    1.30012039   -0.49995186    0.00693826)
iface=   2, ipnt= 136 (Y): anal=  -0.99143047,  fd=  -0.99102600,  err=  -0.00040447 (at    1.31096668   -0.49571523    0.06531773)
iface=   2, ipnt= 137 (Y): anal=  -0.97835920,  fd=  -0.98111385,  err=   0.00275465 (at    1.32883726   -0.48917960    0.10345684)
iface=   2, ipnt= 137 (Z): anal=   0.20691368,  fd=   0.20749626,  err=  -0.00058258 (at    1.32883726   -0.48917960    0.10345684)
iface=   2, ipnt= 138 (Y): anal=  -0.95056027,  fd=  -0.95114893,  err=   0.00058866 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 138 (Z): anal=   0.31054012,  fd=   0.31073243,  err=  -0.00019231 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 139 (Y): anal=  -0.92701049,  fd=  -0.93122343,  err=   0.00421294 (at    1.43045063   -0.46350525    0.18751769)
iface=   2, ipnt= 139 (Z): anal=   0.37503538,  fd=   0.37673979,  err=  -0.00170441 (at    1.43045063   -0.46350525    0.18751769)
iface=   2, ipnt= 140 (Y): anal=  -0.91938394,  fd=  -0.91460272,  err=  -0.00478123 (at    1.46371351   -0.45969197    0.19668068)
...too many errors to list
iface=   5, ipnt=  33 (X): anal=  -0.00000000,  fd=   0.00247035,  err=  -0.00247035 (at    1.46371351   -0.45969197    0.19668068)
iface=   5, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.01338983,  err=   0.01338983 (at    1.46371351   -0.45969197    0.19668068)
iface=   5, ipnt=  34 (X): anal=  -0.00000000,  fd=  -0.00183395,  err=   0.00183395 (at    1.43045063   -0.46350525    0.18751769)
iface=   5, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00494466,  err=  -0.00494466 (at    1.43045063   -0.46350525    0.18751769)
iface=   5, ipnt=  35 (X): anal=  -0.00000000,  fd=  -0.00121571,  err=   0.00121571 (at    1.37393966   -0.47528014    0.15527006)
iface=   5, ipnt=  35 (Z): anal=   0.00000000,  fd=   0.00149741,  err=  -0.00149741 (at    1.37393966   -0.47528014    0.15527006)
iface=   5, ipnt=  36 (X): anal=  -0.00000000,  fd=   0.00239136,  err=  -0.00239136 (at    1.32883726   -0.48917960    0.10345684)
iface=   5, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00144542,  err=   0.00144542 (at    1.32883726   -0.48917960    0.10345684)
iface=   5, ipnt=  37 (X): anal=  -0.00000000,  fd=   0.00056528,  err=  -0.00056528 (at    1.31096668   -0.49571523    0.06531773)
iface=   5, ipnt=  37 (Z): anal=   0.00000000,  fd=  -0.00019532,  err=   0.00019532 (at    1.31096668   -0.49571523    0.06531773)
...too many errors to list
iface=   6, ipnt=  14 (X): anal=   0.00000000,  fd=   0.00053972,  err=  -0.00053972 (at    1.69173871   -0.49675319   -0.05688821)
iface=   6, ipnt=  14 (Z): anal=  -0.00000000,  fd=  -0.00016013,  err=   0.00016013 (at    1.69173871   -0.49675319   -0.05688821)
iface=   6, ipnt=  15 (X): anal=   0.00000000,  fd=   0.00058285,  err=  -0.00058285 (at    1.69987962   -0.49995186    0.00693824)
iface=   6, ipnt=  16 (X): anal=   0.00000000,  fd=  -0.00056526,  err=   0.00056526 (at    1.68903332   -0.49571524    0.06531772)
iface=   6, ipnt=  16 (Z): anal=   0.00000000,  fd=  -0.00019532,  err=   0.00019532 (at    1.68903332   -0.49571524    0.06531772)
iface=   6, ipnt=  17 (X): anal=   0.00000000,  fd=  -0.00239136,  err=   0.00239136 (at    1.67116274   -0.48917960    0.10345683)
iface=   6, ipnt=  17 (Z): anal=   0.00000000,  fd=  -0.00144542,  err=   0.00144542 (at    1.67116274   -0.48917960    0.10345683)
iface=   6, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00121572,  err=  -0.00121572 (at    1.62606034   -0.47528014    0.15527006)
iface=   6, ipnt=  18 (Z): anal=   0.00000000,  fd=   0.00149741,  err=  -0.00149741 (at    1.62606034   -0.47528014    0.15527006)
iface=   6, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00183395,  err=  -0.00183395 (at    1.56954937   -0.46350525    0.18751769)
...too many errors to list
    d(Face)/d(rad1) check complete with       48 total errors (errmax=  1.3390e-02)
iedge=   6, ipnt=   1 (X): anal=   0.08253468,  fd=   0.08501052,  err=  -0.00247584 (at    1.46371351   -0.45969197    0.19668068)
iedge=   6, ipnt=   1 (Z): anal=   0.01522719,  fd=   0.00183837,  err=   0.01338882 (at    1.46371351   -0.45969197    0.19668068)
iedge=   6, ipnt=   2 (X): anal=   0.13952962,  fd=   0.13807104,  err=   0.00145858 (at    1.43045063   -0.46350525    0.18751769)
iedge=   6, ipnt=   2 (Y): anal=  -1.05779990,  fd=  -1.06064562,  err=   0.00284573 (at    1.43045063   -0.46350525    0.18751769)
iedge=   6, ipnt=   2 (Z): anal=   0.05175083,  fd=   0.05683472,  err=  -0.00508388 (at    1.43045063   -0.46350525    0.18751769)
iedge=   6, ipnt=   3 (X): anal=   0.16133549,  fd=   0.16014468,  err=   0.00119081 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Y): anal=  -1.00921952,  fd=  -1.00937521,  err=   0.00015569 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Z): anal=   0.13098473,  fd=   0.13250233,  err=  -0.00151760 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   4 (X): anal=   0.09266195,  fd=   0.09534198,  err=  -0.00268003 (at    1.32883726   -0.48917960    0.10345684)
iedge=   6, ipnt=   4 (Y): anal=  -0.98969730,  fd=  -0.99277988,  err=   0.00308258 (at    1.32883726   -0.48917960    0.10345684)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=  -0.08253468,  fd=  -0.08501052,  err=   0.00247584 (at    1.53628649   -0.45969197    0.19668068)
iedge=   7, ipnt=   1 (Z): anal=   0.01522719,  fd=   0.00183837,  err=   0.01338882 (at    1.53628649   -0.45969197    0.19668068)
iedge=   7, ipnt=   2 (X): anal=  -0.13952963,  fd=  -0.13807105,  err=  -0.00145858 (at    1.56954937   -0.46350525    0.18751769)
iedge=   7, ipnt=   2 (Y): anal=  -1.05779989,  fd=  -1.06064562,  err=   0.00284573 (at    1.56954937   -0.46350525    0.18751769)
iedge=   7, ipnt=   2 (Z): anal=   0.05175084,  fd=   0.05683472,  err=  -0.00508388 (at    1.56954937   -0.46350525    0.18751769)
iedge=   7, ipnt=   3 (X): anal=  -0.16133549,  fd=  -0.16014467,  err=  -0.00119082 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Y): anal=  -1.00921952,  fd=  -1.00937521,  err=   0.00015569 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Z): anal=   0.13098473,  fd=   0.13250234,  err=  -0.00151760 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   4 (X): anal=  -0.09266194,  fd=  -0.09534198,  err=   0.00268004 (at    1.67116274   -0.48917960    0.10345683)
iedge=   7, ipnt=   4 (Y): anal=  -0.98969730,  fd=  -0.99277988,  err=   0.00308258 (at    1.67116274   -0.48917960    0.10345683)
...too many errors to list
    d(Edge)/d(rad1) check complete with       38 total errors (errmax=  1.3389e-02)
    d(Node)/d(rad1) check complete with        0 total errors (errmax=  2.0789e-07)
 

*********************************************************
Starting configuration sensitivity wrt "xbeg2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "xbeg2" for ibody=3
    d(Face)/d(xbeg2) check complete with        0 total errors (errmax=  1.3598e-05)
    d(Edge)/d(xbeg2) check complete with        0 total errors (errmax=  1.3364e-05)
    d(Node)/d(xbeg2) check complete with        0 total errors (errmax=  1.0000e-07)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "ybeg2" for ibody=3
    d(Face)/d(ybeg2) check complete with        0 total errors (errmax=  1.1702e-09)
    d(Edge)/d(ybeg2) check complete with        0 total errors (errmax=  1.1753e-09)
    d(Node)/d(ybeg2) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "zbeg2" for ibody=3
    d(Face)/d(zbeg2) check complete with        0 total errors (errmax=  1.2704e-06)
    d(Edge)/d(zbeg2) check complete with        0 total errors (errmax=  1.5140e-06)
    d(Node)/d(zbeg2) check complete with        0 total errors (errmax=  1.2990e-06)
 

*********************************************************
Starting configuration sensitivity wrt "yend2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "yend2" for ibody=3
    d(Face)/d(yend2) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(yend2) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(yend2) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "rad2" for ibody=3
iface=   2, ipnt= 138 (Y): anal=  -0.00000000,  fd=  -0.00245565,  err=   0.00245565 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 138 (Z): anal=   0.00000000,  fd=   0.00080224,  err=  -0.00080224 (at    1.37393966   -0.47528014    0.15527006)
iface=   2, ipnt= 144 (Y): anal=  -0.00000000,  fd=  -0.00245565,  err=   0.00245565 (at    1.62606034   -0.47528014    0.15527006)
iface=   2, ipnt= 144 (Z): anal=   0.00000000,  fd=   0.00080224,  err=  -0.00080224 (at    1.62606034   -0.47528014    0.15527006)
iface=   5, ipnt=  35 (X): anal=  -0.63030169,  fd=  -0.63312598,  err=   0.00282430 (at    1.37393966   -0.47528014    0.15527006)
iface=   5, ipnt=  35 (Z): anal=   0.77635029,  fd=   0.77982901,  err=  -0.00347872 (at    1.37393966   -0.47528014    0.15527006)
iface=   6, ipnt=  18 (X): anal=   0.63030170,  fd=   0.63312600,  err=  -0.00282430 (at    1.62606034   -0.47528014    0.15527006)
iface=   6, ipnt=  18 (Z): anal=   0.77635028,  fd=   0.77982900,  err=  -0.00347872 (at    1.62606034   -0.47528014    0.15527006)
    d(Face)/d(rad2) check complete with        8 total errors (errmax=  3.4787e-03)
iedge=   6, ipnt=   3 (X): anal=  -0.66919766,  fd=  -0.67177946,  err=   0.00258179 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Y): anal=   0.24331064,  fd=   0.24179370,  err=   0.00151695 (at    1.37393966   -0.47528014    0.15527006)
iedge=   6, ipnt=   3 (Z): anal=   0.74477151,  fd=   0.74844711,  err=  -0.00367560 (at    1.37393966   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (X): anal=   0.66919768,  fd=   0.67177947,  err=  -0.00258179 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Y): anal=   0.24331064,  fd=   0.24179369,  err=   0.00151695 (at    1.62606034   -0.47528014    0.15527006)
iedge=   7, ipnt=   3 (Z): anal=   0.74477150,  fd=   0.74844710,  err=  -0.00367560 (at    1.62606034   -0.47528014    0.15527006)
    d(Edge)/d(rad2) check complete with        6 total errors (errmax=  3.6756e-03)
    d(Node)/d(rad2) check complete with        0 total errors (errmax=  1.2990e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.025 sec

Sensitivity checks complete with      114 tnotal errors (max config err=  1.3390e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg1"
*********************************************************

Generating perturbed configuration with delta-xbeg1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(xbeg1) check complete with        0 total errors (errmax=  9.8785e-09)
    d(Edge)/d(xbeg1) check complete with        0 total errors (errmax=  8.0052e-09)
    d(Node)/d(xbeg1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg1"
*********************************************************

Generating perturbed configuration with delta-ybeg1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(ybeg1) check complete with        0 total errors (errmax=  4.8375e-09)
    d(Edge)/d(ybeg1) check complete with        0 total errors (errmax=  8.7417e-09)
    d(Node)/d(ybeg1) check complete with        0 total errors (errmax=  3.3307e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg1"
*********************************************************

Generating perturbed configuration with delta-zbeg1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(zbeg1) check complete with        0 total errors (errmax=  1.1905e-06)
    d(Edge)/d(zbeg1) check complete with        0 total errors (errmax=  1.3002e-06)
    d(Node)/d(zbeg1) check complete with        0 total errors (errmax=  1.3002e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "xend1"
*********************************************************

Generating perturbed configuration with delta-xend1[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(xend1) check complete with        0 total errors (errmax=  9.8785e-09)
    d(Edge)/d(xend1) check complete with        0 total errors (errmax=  5.0206e-09)
    d(Node)/d(xend1) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "rad1"
*********************************************************

Generating perturbed configuration with delta-rad1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(rad1) check complete with        0 total errors (errmax=  4.4758e-07)
    d(Edge)/d(rad1) check complete with        0 total errors (errmax=  4.6264e-07)
    d(Node)/d(rad1) check complete with        0 total errors (errmax=  2.0733e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "xbeg2"
*********************************************************

Generating perturbed configuration with delta-xbeg2[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(xbeg2) check complete with        0 total errors (errmax=  9.8785e-09)
    d(Edge)/d(xbeg2) check complete with        0 total errors (errmax=  8.7401e-09)
    d(Node)/d(xbeg2) check complete with        0 total errors (errmax=  1.6366e-10)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg2"
*********************************************************

Generating perturbed configuration with delta-ybeg2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(ybeg2) check complete with        0 total errors (errmax=  4.8375e-09)
    d(Edge)/d(ybeg2) check complete with        0 total errors (errmax=  8.7406e-09)
    d(Node)/d(ybeg2) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg2"
*********************************************************

Generating perturbed configuration with delta-zbeg2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(zbeg2) check complete with        0 total errors (errmax=  1.1905e-06)
    d(Edge)/d(zbeg2) check complete with        0 total errors (errmax=  1.3002e-06)
    d(Node)/d(zbeg2) check complete with        0 total errors (errmax=  1.3002e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "yend2"
*********************************************************

Generating perturbed configuration with delta-yend2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(yend2) check complete with        0 total errors (errmax=  9.8785e-09)
    d(Edge)/d(yend2) check complete with        0 total errors (errmax=  3.8158e-16)
    d(Node)/d(yend2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad2"
*********************************************************

Generating perturbed configuration with delta-rad2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(rad2) check complete with        0 total errors (errmax=  1.7205e-06)
    d(Edge)/d(rad2) check complete with        0 total errors (errmax=  1.7293e-06)
    d(Node)/d(rad2) check complete with        0 total errors (errmax=  1.3002e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.351 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.7293e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "xbase" for ibody=6
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.0717e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  9.8769e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  9.7569e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ybase" for ibody=6
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.1845e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.2531e-09)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.5131e-09)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "zbase" for ibody=6
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.2511e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.4745e-09)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.4001e-09)
 

*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "xsize" for ibody=6
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  1.0645e-09)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  9.8769e-10)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  9.7569e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ysize" for ibody=6
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  9.8352e-10)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  1.2531e-09)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  1.5131e-09)
 

*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "zsize" for ibody=6
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  9.8237e-10)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  1.3004e-09)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  5.1190e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "dx" for ibody=6
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.0717e-09)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  9.8769e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  9.7569e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "dy" for ibody=6
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.1845e-09)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.2531e-09)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.5131e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "dz" for ibody=6
    d(Face)/d(dz) check complete with        0 total errors (errmax=  1.5937e-09)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  2.0133e-09)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  1.4001e-09)
 

*********************************************************
Starting configuration sensitivity wrt "rotx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "rotx" for ibody=6
    d(Face)/d(rotx) check complete with        0 total errors (errmax=  1.7481e-09)
    d(Edge)/d(rotx) check complete with        0 total errors (errmax=  1.5604e-09)
    d(Node)/d(rotx) check complete with        0 total errors (errmax=  1.3803e-09)
 

*********************************************************
Starting configuration sensitivity wrt "roty"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "roty" for ibody=6
    d(Face)/d(roty) check complete with        0 total errors (errmax=  1.5507e-09)
    d(Edge)/d(roty) check complete with        0 total errors (errmax=  1.4926e-09)
    d(Node)/d(roty) check complete with        0 total errors (errmax=  1.0035e-09)
 

*********************************************************
Starting configuration sensitivity wrt "rotz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "rotz" for ibody=6
    d(Face)/d(rotz) check complete with        0 total errors (errmax=  2.6294e-09)
    d(Edge)/d(rotz) check complete with        0 total errors (errmax=  2.7739e-09)
    d(Node)/d(rotz) check complete with        0 total errors (errmax=  1.6562e-09)
 

*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "scale" for ibody=6
    d(Face)/d(scale) check complete with        0 total errors (errmax=  1.5461e-09)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  1.3593e-09)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  7.2594e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.007 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.7739e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.3182e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.8444e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.8310e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.0351e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.9984e-15)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.9860e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.2315e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.0351e-15)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.0359e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "xsize"
*********************************************************

Generating perturbed configuration with delta-xsize[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  2.2644e-15)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  2.8369e-15)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  1.0087e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "ysize"
*********************************************************

Generating perturbed configuration with delta-ysize[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  3.8969e-15)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  2.2204e-15)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  1.8310e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "zsize"
*********************************************************

Generating perturbed configuration with delta-zsize[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  2.2644e-15)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  1.9984e-15)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(dx) check complete with        0 total errors (errmax=  2.2204e-15)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.9984e-15)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  9.1551e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(dy) check complete with        0 total errors (errmax=  2.0494e-15)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  2.2315e-15)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.8310e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(dz) check complete with        0 total errors (errmax=  2.2315e-15)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  2.0351e-15)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  1.0359e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "rotx"
*********************************************************

Generating perturbed configuration with delta-rotx[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(rotx) check complete with        0 total errors (errmax=  8.2242e-07)
    d(Edge)/d(rotx) check complete with        0 total errors (errmax=  9.1955e-07)
    d(Node)/d(rotx) check complete with        0 total errors (errmax=  9.1955e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "roty"
*********************************************************

Generating perturbed configuration with delta-roty[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(roty) check complete with        0 total errors (errmax=  2.0563e-07)
    d(Edge)/d(roty) check complete with        0 total errors (errmax=  2.1823e-07)
    d(Node)/d(roty) check complete with        0 total errors (errmax=  2.1823e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "rotz"
*********************************************************

Generating perturbed configuration with delta-rotz[1,1]=   0.06000000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(rotz) check complete with        0 total errors (errmax=  3.3245e-06)
    d(Edge)/d(rotz) check complete with        0 total errors (errmax=  4.8187e-06)
    d(Node)/d(rotz) check complete with        0 total errors (errmax=  4.8187e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "scale"
*********************************************************

Generating perturbed configuration with delta-scale[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(scale) check complete with        0 total errors (errmax=  2.2644e-15)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  1.9984e-15)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  1.0878e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.099 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.8187e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "xsize" for ibody=2
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "ysize" for ibody=2
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "zsize" for ibody=2
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "scale" for ibody=2
    d(Face)/d(scale) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  2.7956e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.007 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.7956e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xsize"
*********************************************************

Generating perturbed configuration with delta-xsize[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ysize"
*********************************************************

Generating perturbed configuration with delta-ysize[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  2.2205e-16)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zsize"
*********************************************************

Generating perturbed configuration with delta-zsize[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "scale"
*********************************************************

Generating perturbed configuration with delta-scale[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(scale) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.196 sec

Sensitivity checks complete with        0 total errors (max tessel err=  8.8819e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0e.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "camber" for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  8.3267e-11)
iedge=   1, ipnt=  36 (Y): anal=   1.97615543,  fd=   1.97629596,  err=  -0.00014053 (at    0.76391243    0.21905467    0.20000000)
iedge=   1, ipnt=  38 (Y): anal=   1.98421954,  fd=   1.98381604,  err=   0.00040350 (at    0.69954527    0.22733053    0.20000000)
iedge=   1, ipnt=  40 (Y): anal=   1.97166562,  fd=   1.97177264,  err=  -0.00010701 (at    0.63500781    0.23414598    0.20000000)
iedge=   2, ipnt=  27 (Y): anal=   1.99251071,  fd=   1.99226882,  err=   0.00024189 (at    0.66407683   -0.00424263    0.20000000)
iedge=   2, ipnt=  28 (Y): anal=   1.99617031,  fd=   1.99591887,  err=   0.00025144 (at    0.69557917   -0.00574515    0.20000000)
iedge=   2, ipnt=  29 (Y): anal=   1.99503688,  fd=   1.99521580,  err=  -0.00017893 (at    0.72708070   -0.00726766    0.20000000)
    d(Edge)/d(camber) check complete with        6 total errors (errmax=  4.0350e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  1.2410e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "thick" for ibody=4
    d(Face)/d(thick) check complete with        0 total errors (errmax=  8.3267e-11)
iedge=   1, ipnt=  64 (X): anal=  -0.05687876,  fd=  -0.05672636,  err=  -0.00015240 (at   -0.09765810    0.11596241    0.20000000)
iedge=   2, ipnt=   2 (X): anal=  -0.04842163,  fd=  -0.04829491,  err=  -0.00012672 (at   -0.09450779    0.08530178    0.20000000)
    d(Edge)/d(thick) check complete with        2 total errors (errmax=  1.5240e-04)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.9698e-11)
 

*********************************************************
Starting configuration sensitivity wrt "xle"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xle" for ibody=4
    d(Face)/d(xle) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  1.3313e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "yle"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "yle" for ibody=4
    d(Face)/d(yle) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  5.5459e-11)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  1.0001e-12)
 

*********************************************************
Starting configuration sensitivity wrt "zle"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "zle" for ibody=4
    d(Face)/d(zle) check complete with        0 total errors (errmax=  5.6511e-11)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  5.6511e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  1.0001e-12)
 

*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "chord" for ibody=4
    d(Face)/d(chord) check complete with        0 total errors (errmax=  2.7756e-17)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  8.0415e-09)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  2.3482e-10)
 

*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "alpha" for ibody=4
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(alpha) check complete with        0 total errors (errmax=  2.2382e-10)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  2.4064e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.130 sec

Sensitivity checks complete with        8 tnotal errors (max config err=  4.0350e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0e.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.3766e-16)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86254787   -0.06047841    0.20000000, dist=   0.00010407 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83208843   -0.04929403    0.20000000, dist=   0.00020442 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80155953   -0.03829481    0.20000000, dist=   0.00030220 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77096434   -0.02747956    0.20000000, dist=   0.00039737 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74030484   -0.01684685    0.20000000, dist=   0.00048993 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70958251   -0.00639527    0.20000000, dist=   0.00057985 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67879899    0.00387631    0.20000000, dist=   0.00066711 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64795581    0.01396885    0.20000000, dist=   0.00075171 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61705437    0.02388315    0.20000000, dist=   0.00083362 (at    1.61680199    0.02308866    0.20000000)
iedge=   1, ipnt=  10: anal=   1.58582465    0.03274824    0.20000000, ptrb=   1.58609602    0.03361980    0.20000000, dist=   0.00091283 (at    1.58582465    0.03274824    0.20000000)
...too many errors to list
iedge=   2, ipnt=   3: anal=  -0.08375973    0.07378153    0.20000000, ptrb=  -0.08366734    0.07389609    0.20000000, dist=   0.00014718 (at   -0.08375973    0.07378153    0.20000000)
iedge=   2, ipnt=   4: anal=  -0.05649039    0.05806909    0.20000000, ptrb=  -0.05638041    0.05832740    0.20000000, dist=   0.00028075 (at   -0.05649039    0.05806909    0.20000000)
iedge=   2, ipnt=   5: anal=  -0.02675286    0.04759294    0.20000000, ptrb=  -0.02663928    0.04798798    0.20000000, dist=   0.00041104 (at   -0.02675286    0.04759294    0.20000000)
iedge=   2, ipnt=   6: anal=   0.00382863    0.03989075    0.20000000, ptrb=   0.00394127    0.04041705    0.20000000, dist=   0.00053822 (at    0.00382863    0.03989075    0.20000000)
iedge=   2, ipnt=   7: anal=   0.03479430    0.03391001    0.20000000, ptrb=   0.03490348    0.03456233    0.20000000, dist=   0.00066139 (at    0.03479430    0.03391001    0.20000000)
iedge=   2, ipnt=   8: anal=   0.06596479    0.02910704    0.20000000, ptrb=   0.06606912    0.02988011    0.20000000, dist=   0.00078007 (at    0.06596479    0.02910704    0.20000000)
iedge=   2, ipnt=   9: anal=   0.09725525    0.02515994    0.20000000, ptrb=   0.09735400    0.02604843    0.20000000, dist=   0.00089396 (at    0.09725525    0.02515994    0.20000000)
iedge=   2, ipnt=  10: anal=   0.12862052    0.02185969    0.20000000, ptrb=   0.12871345    0.02285823    0.20000000, dist=   0.00100285 (at    0.12862052    0.02185969    0.20000000)
iedge=   2, ipnt=  11: anal=   0.16003452    0.01906117    0.20000000, ptrb=   0.16012170    0.02016432    0.20000000, dist=   0.00110659 (at    0.16003452    0.01906117    0.20000000)
iedge=   2, ipnt=  12: anal=   0.19148122    0.01665805    0.20000000, ptrb=   0.19156295    0.01786032    0.20000000, dist=   0.00120505 (at    0.19148122    0.01665805    0.20000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      126 total errors (errmax=  1.9982e-03)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  1.3987e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(thick) check complete with        0 total errors (errmax=  4.4409e-16)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80150090   -0.03845837    0.20000000, dist=   0.00012845 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77088663   -0.02770062    0.20000000, dist=   0.00016305 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74020936   -0.01712374    0.20000000, dist=   0.00019703 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70947057   -0.00672629    0.20000000, dist=   0.00023041 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67867185    0.00349293    0.20000000, dist=   0.00026320 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64781471    0.01353492    0.20000000, dist=   0.00029541 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61690053    0.02340051    0.20000000, dist=   0.00032705 (at    1.61680199    0.02308866    0.20000000)
iedge=   1, ipnt=  10: anal=   1.58582465    0.03274824    0.20000000, ptrb=   1.58593062    0.03309034    0.20000000, dist=   0.00035814 (at    1.58582465    0.03274824    0.20000000)
iedge=   1, ipnt=  11: anal=   1.55479331    0.04223293    0.20000000, ptrb=   1.55490622    0.04260483    0.20000000, dist=   0.00038866 (at    1.55479331    0.04223293    0.20000000)
iedge=   1, ipnt=  12: anal=   1.52370912    0.05154296    0.20000000, ptrb=   1.52382847    0.05194422    0.20000000, dist=   0.00041864 (at    1.52370912    0.05154296    0.20000000)
...too many errors to list
iedge=   2, ipnt=   3: anal=  -0.08375973    0.07378153    0.20000000, ptrb=  -0.08386294    0.07365635    0.20000000, dist=   0.00016224 (at   -0.08375973    0.07378153    0.20000000)
iedge=   2, ipnt=   4: anal=  -0.05649039    0.05806909    0.20000000, ptrb=  -0.05662484    0.05776088    0.20000000, dist=   0.00033626 (at   -0.05649039    0.05806909    0.20000000)
iedge=   2, ipnt=   5: anal=  -0.02675286    0.04759294    0.20000000, ptrb=  -0.02688358    0.04715085    0.20000000, dist=   0.00046101 (at   -0.02675286    0.04759294    0.20000000)
iedge=   2, ipnt=   6: anal=   0.00382863    0.03989075    0.20000000, ptrb=   0.00370847    0.03934706    0.20000000, dist=   0.00055682 (at    0.00382863    0.03989075    0.20000000)
iedge=   2, ipnt=   7: anal=   0.03479430    0.03391001    0.20000000, ptrb=   0.03468583    0.03328521    0.20000000, dist=   0.00063415 (at    0.03479430    0.03391001    0.20000000)
iedge=   2, ipnt=   8: anal=   0.06596479    0.02910704    0.20000000, ptrb=   0.06586756    0.02841551    0.20000000, dist=   0.00069833 (at    0.06596479    0.02910704    0.20000000)
iedge=   2, ipnt=   9: anal=   0.09725525    0.02515994    0.20000000, ptrb=   0.09716831    0.02441253    0.20000000, dist=   0.00075244 (at    0.09725525    0.02515994    0.20000000)
iedge=   2, ipnt=  10: anal=   0.12862052    0.02185969    0.20000000, ptrb=   0.12854278    0.02106501    0.20000000, dist=   0.00079847 (at    0.12862052    0.02185969    0.20000000)
iedge=   2, ipnt=  11: anal=   0.16003452    0.01906117    0.20000000, ptrb=   0.15996488    0.01822631    0.20000000, dist=   0.00083776 (at    0.16003452    0.01906117    0.20000000)
iedge=   2, ipnt=  12: anal=   0.19148122    0.01665805    0.20000000, ptrb=   0.19141863    0.01578900    0.20000000, dist=   0.00087130 (at    0.19148122    0.01665805    0.20000000)
...too many errors to list
    d(Edge)/d(thick) check complete with      122 total errors (errmax=  1.0003e-03)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.2248e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "xle"
*********************************************************

Generating perturbed configuration with delta-xle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xle) check complete with        0 total errors (errmax=  6.6877e-16)
iedge=   1, ipnt=   0: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89306155   -0.07152406    0.20000000, dist=   0.00035025 (at    1.89293889   -0.07185212    0.20000000)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86263038   -0.06025253    0.20000000, dist=   0.00034455 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83213335   -0.04916732    0.20000000, dist=   0.00033886 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80156897   -0.03826524    0.20000000, dist=   0.00033323 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77094036   -0.02754504    0.20000000, dist=   0.00032765 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74024941   -0.01700525    0.20000000, dist=   0.00032211 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70949759   -0.00664443    0.20000000, dist=   0.00031662 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67868648    0.00353860    0.20000000, dist=   0.00031116 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64781754    0.01354484    0.20000000, dist=   0.00030572 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61689215    0.02337511    0.20000000, dist=   0.00030031 (at    1.61680199    0.02308866    0.20000000)
...too many errors to list
iedge=   2, ipnt=   0: anal=  -0.10000000    0.10000000    0.20000000, ptrb=  -0.09900002    0.10000000    0.20000000, dist=   0.00099998 (at   -0.10000000    0.10000000    0.20000000)
iedge=   2, ipnt=   1: anal=  -0.09813341    0.09231886    0.20000000, ptrb=  -0.09725355    0.09264140    0.20000000, dist=   0.00093712 (at   -0.09813341    0.09231886    0.20000000)
iedge=   2, ipnt=   2: anal=  -0.09450779    0.08530178    0.20000000, ptrb=  -0.09380369    0.08575478    0.20000000, dist=   0.00083724 (at   -0.09450779    0.08530178    0.20000000)
iedge=   2, ipnt=   3: anal=  -0.08375973    0.07378153    0.20000000, ptrb=  -0.08335324    0.07426991    0.20000000, dist=   0.00063542 (at   -0.08375973    0.07378153    0.20000000)
iedge=   2, ipnt=   4: anal=  -0.05649039    0.05806909    0.20000000, ptrb=  -0.05633115    0.05843373    0.20000000, dist=   0.00039790 (at   -0.05649039    0.05806909    0.20000000)
iedge=   2, ipnt=   5: anal=  -0.02675286    0.04759294    0.20000000, ptrb=  -0.02667323    0.04786300    0.20000000, dist=   0.00028155 (at   -0.02675286    0.04759294    0.20000000)
iedge=   2, ipnt=   6: anal=   0.00382863    0.03989075    0.20000000, ptrb=   0.00387460    0.04009974    0.20000000, dist=   0.00021398 (at    0.00382863    0.03989075    0.20000000)
iedge=   2, ipnt=   7: anal=   0.03479430    0.03391001    0.20000000, ptrb=   0.03482311    0.03407698    0.20000000, dist=   0.00016943 (at    0.03479430    0.03391001    0.20000000)
iedge=   2, ipnt=   8: anal=   0.06596479    0.02910704    0.20000000, ptrb=   0.06598384    0.02924353    0.20000000, dist=   0.00013781 (at    0.06596479    0.02910704    0.20000000)
iedge=   2, ipnt=   9: anal=   0.09725525    0.02515994    0.20000000, ptrb=   0.09726835    0.02527348    0.20000000, dist=   0.00011429 (at    0.09725525    0.02515994    0.20000000)
iedge=   3, ipnt=   0: anal=   1.89183991   -0.07677085    0.20000000, ptrb=   1.89283991   -0.07677085    0.20000000, dist=   0.00100000 (at    1.89183991   -0.07677085    0.20000000)
iedge=   3, ipnt=   1: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89389134   -0.07206493    0.20000000, dist=   0.00097594 (at    1.89293889   -0.07185212    0.20000000)
    d(Edge)/d(xle) check complete with       67 total errors (errmax=  1.0000e-03)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "yle"
*********************************************************

Generating perturbed configuration with delta-yle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(yle) check complete with        0 total errors (errmax=  5.5788e-16)
iedge=   1, ipnt=   0: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89293889   -0.07085212    0.20000000, dist=   0.00100000 (at    1.89293889   -0.07185212    0.20000000)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86283527   -0.05969479    0.20000000, dist=   0.00093873 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83233749   -0.04860106    0.20000000, dist=   0.00094080 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80177226   -0.03769056    0.20000000, dist=   0.00094281 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77114271   -0.02696204    0.20000000, dist=   0.00094476 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74045074   -0.01641404    0.20000000, dist=   0.00094666 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70969782   -0.00604509    0.20000000, dist=   0.00094852 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67888551    0.00414599    0.20000000, dist=   0.00095032 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64801530    0.01416021    0.20000000, dist=   0.00095209 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61708855    0.02399840    0.20000000, dist=   0.00095381 (at    1.61680199    0.02308866    0.20000000)
...too many errors to list
iedge=   2, ipnt=   0: anal=  -0.10000000    0.10000000    0.20000000, ptrb=  -0.09987493    0.10001804    0.20000000, dist=   0.00012636 (at   -0.10000000    0.10000000    0.20000000)
iedge=   2, ipnt=   1: anal=  -0.09813341    0.09231886    0.20000000, ptrb=  -0.09779401    0.09245815    0.20000000, dist=   0.00036687 (at   -0.09813341    0.09231886    0.20000000)
iedge=   2, ipnt=   2: anal=  -0.09450779    0.08530178    0.20000000, ptrb=  -0.09404654    0.08562133    0.20000000, dist=   0.00056113 (at   -0.09450779    0.08530178    0.20000000)
iedge=   2, ipnt=   3: anal=  -0.08375973    0.07378153    0.20000000, ptrb=  -0.08327377    0.07438970    0.20000000, dist=   0.00077848 (at   -0.08375973    0.07378153    0.20000000)
iedge=   2, ipnt=   4: anal=  -0.05649039    0.05806909    0.20000000, ptrb=  -0.05612871    0.05891376    0.20000000, dist=   0.00091885 (at   -0.05649039    0.05806909    0.20000000)
iedge=   2, ipnt=   5: anal=  -0.02675286    0.04759294    0.20000000, ptrb=  -0.02648452    0.04851471    0.20000000, dist=   0.00096003 (at   -0.02675286    0.04759294    0.20000000)
iedge=   2, ipnt=   6: anal=   0.00382863    0.03989075    0.20000000, ptrb=   0.00403656    0.04084543    0.20000000, dist=   0.00097706 (at    0.00382863    0.03989075    0.20000000)
iedge=   2, ipnt=   7: anal=   0.03479430    0.03391001    0.20000000, ptrb=   0.03496055    0.03488155    0.20000000, dist=   0.00098566 (at    0.03479430    0.03391001    0.20000000)
iedge=   2, ipnt=   8: anal=   0.06596479    0.02910704    0.20000000, ptrb=   0.06610077    0.03008819    0.20000000, dist=   0.00099052 (at    0.06596479    0.02910704    0.20000000)
iedge=   2, ipnt=   9: anal=   0.09725525    0.02515994    0.20000000, ptrb=   0.09736841    0.02614696    0.20000000, dist=   0.00099349 (at    0.09725525    0.02515994    0.20000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=   1.89183991   -0.07677085    0.20000000, ptrb=   1.89183991   -0.07577085    0.20000000, dist=   0.00100000 (at    1.89183991   -0.07677085    0.20000000)
iedge=   3, ipnt=   1: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89272608   -0.07180458    0.20000000, dist=   0.00021805 (at    1.89293889   -0.07185212    0.20000000)
    d(Edge)/d(yle) check complete with      136 total errors (errmax=  1.0000e-03)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zle"
*********************************************************

Generating perturbed configuration with delta-zle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(zle) check complete with        0 total errors (errmax=  5.5788e-16)
iedge=   1, ipnt=   0: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89293889   -0.07185212    0.20100000, dist=   0.00100000 (at    1.89293889   -0.07185212    0.20000000)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86251170   -0.06057599    0.20100000, dist=   0.00100000 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83201855   -0.04948614    0.20100000, dist=   0.00100000 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80145796   -0.03857943    0.20100000, dist=   0.00100000 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77083303   -0.02785461    0.20100000, dist=   0.00100000 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74014568   -0.01731020    0.20100000, dist=   0.00100000 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70939737   -0.00694477    0.20100000, dist=   0.00100000 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67858969    0.00324288    0.20100000, dist=   0.00100000 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64772410    0.01325375    0.20100000, dist=   0.00100000 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61680199    0.02308866    0.20100000, dist=   0.00100000 (at    1.61680199    0.02308866    0.20000000)
...too many errors to list
iedge=   2, ipnt=   0: anal=  -0.10000000    0.10000000    0.20000000, ptrb=  -0.10000002    0.10000000    0.20100000, dist=   0.00100000 (at   -0.10000000    0.10000000    0.20000000)
iedge=   2, ipnt=   1: anal=  -0.09813341    0.09231886    0.20000000, ptrb=  -0.09813341    0.09231886    0.20100000, dist=   0.00100000 (at   -0.09813341    0.09231886    0.20000000)
iedge=   2, ipnt=   2: anal=  -0.09450779    0.08530178    0.20000000, ptrb=  -0.09450779    0.08530178    0.20100000, dist=   0.00100000 (at   -0.09450779    0.08530178    0.20000000)
iedge=   2, ipnt=   3: anal=  -0.08375973    0.07378153    0.20000000, ptrb=  -0.08375973    0.07378153    0.20100000, dist=   0.00100000 (at   -0.08375973    0.07378153    0.20000000)
iedge=   2, ipnt=   4: anal=  -0.05649039    0.05806909    0.20000000, ptrb=  -0.05649039    0.05806909    0.20100000, dist=   0.00100000 (at   -0.05649039    0.05806909    0.20000000)
iedge=   2, ipnt=   5: anal=  -0.02675286    0.04759294    0.20000000, ptrb=  -0.02675286    0.04759294    0.20100000, dist=   0.00100000 (at   -0.02675286    0.04759294    0.20000000)
iedge=   2, ipnt=   6: anal=   0.00382863    0.03989075    0.20000000, ptrb=   0.00382863    0.03989075    0.20100000, dist=   0.00100000 (at    0.00382863    0.03989075    0.20000000)
iedge=   2, ipnt=   7: anal=   0.03479430    0.03391001    0.20000000, ptrb=   0.03479430    0.03391001    0.20100000, dist=   0.00100000 (at    0.03479430    0.03391001    0.20000000)
iedge=   2, ipnt=   8: anal=   0.06596479    0.02910704    0.20000000, ptrb=   0.06596479    0.02910704    0.20100000, dist=   0.00100000 (at    0.06596479    0.02910704    0.20000000)
iedge=   2, ipnt=   9: anal=   0.09725525    0.02515994    0.20000000, ptrb=   0.09725525    0.02515994    0.20100000, dist=   0.00100000 (at    0.09725525    0.02515994    0.20000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=   1.89183991   -0.07677085    0.20000000, ptrb=   1.89183991   -0.07677085    0.20100000, dist=   0.00100000 (at    1.89183991   -0.07677085    0.20000000)
iedge=   3, ipnt=   1: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89293889   -0.07185212    0.20100000, dist=   0.00100000 (at    1.89293889   -0.07185212    0.20000000)
    d(Edge)/d(zle) check complete with      136 total errors (errmax=  1.0000e-03)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "chord"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.4604e-16)
iedge=   1, ipnt=   0: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89312687   -0.07134914    0.20000000, dist=   0.00053696 (at    1.89293889   -0.07185212    0.20000000)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86269254   -0.06008284    0.20000000, dist=   0.00052526 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83219256   -0.04900262    0.20000000, dist=   0.00051389 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80162539   -0.03810531    0.20000000, dist=   0.00050281 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77099413   -0.02738969    0.20000000, dist=   0.00049204 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74030069   -0.01685429    0.20000000, dist=   0.00048155 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70954650   -0.00649766    0.20000000, dist=   0.00047132 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67873314    0.00368136    0.20000000, dist=   0.00046135 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64786208    0.01368377    0.20000000, dist=   0.00045161 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61693467    0.02351039    0.20000000, dist=   0.00044211 (at    1.61680199    0.02308866    0.20000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=   1.89183991   -0.07677085    0.20000000, ptrb=   1.89383175   -0.07694762    0.20000000, dist=   0.00199967 (at    1.89183991   -0.07677085    0.20000000)
iedge=   3, ipnt=   1: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89487364   -0.07228440    0.20000000, dist=   0.00198246 (at    1.89293889   -0.07185212    0.20000000)
    d(Edge)/d(chord) check complete with       54 total errors (errmax=  1.9997e-03)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  4.4604e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "alpha"
*********************************************************

Generating perturbed configuration with delta-alpha[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  7.6167e-09)
iedge=   1, ipnt=   0: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89287998   -0.07200962    0.20000000, dist=   0.00016815 (at    1.89293889   -0.07185212    0.20000000)
iedge=   1, ipnt=   1: anal=   1.86251170   -0.06057599    0.20000000, ptrb=   1.86245461   -0.06073143    0.20000000, dist=   0.00016560 (at    1.86251170   -0.06057599    0.20000000)
iedge=   1, ipnt=   2: anal=   1.83201855   -0.04948614    0.20000000, ptrb=   1.83196328   -0.04963953    0.20000000, dist=   0.00016304 (at    1.83201855   -0.04948614    0.20000000)
iedge=   1, ipnt=   3: anal=   1.80145796   -0.03857943    0.20000000, ptrb=   1.80140446   -0.03873072    0.20000000, dist=   0.00016047 (at    1.80145796   -0.03857943    0.20000000)
iedge=   1, ipnt=   4: anal=   1.77083303   -0.02785461    0.20000000, ptrb=   1.77078127   -0.02800378    0.20000000, dist=   0.00015790 (at    1.77083303   -0.02785461    0.20000000)
iedge=   1, ipnt=   5: anal=   1.74014568   -0.01731020    0.20000000, ptrb=   1.74009563   -0.01745723    0.20000000, dist=   0.00015532 (at    1.74014568   -0.01731020    0.20000000)
iedge=   1, ipnt=   6: anal=   1.70939737   -0.00694477    0.20000000, ptrb=   1.70934899   -0.00708963    0.20000000, dist=   0.00015273 (at    1.70939737   -0.00694477    0.20000000)
iedge=   1, ipnt=   7: anal=   1.67858969    0.00324288    0.20000000, ptrb=   1.67854295    0.00310021    0.20000000, dist=   0.00015013 (at    1.67858969    0.00324288    0.20000000)
iedge=   1, ipnt=   8: anal=   1.64772410    0.01325375    0.20000000, ptrb=   1.64767898    0.01311329    0.20000000, dist=   0.00014752 (at    1.64772410    0.01325375    0.20000000)
iedge=   1, ipnt=   9: anal=   1.61680199    0.02308866    0.20000000, ptrb=   1.61675845    0.02295044    0.20000000, dist=   0.00014491 (at    1.61680199    0.02308866    0.20000000)
...too many errors to list
iedge=   2, ipnt=  39: anal=   1.04212222   -0.02192555    0.20000000, ptrb=   1.04211744   -0.02202550    0.20000000, dist=   0.00010006 (at    1.04212222   -0.02192555    0.20000000)
iedge=   2, ipnt=  40: anal=   1.07362396   -0.02344209    0.20000000, ptrb=   1.07361897   -0.02354479    0.20000000, dist=   0.00010282 (at    1.07362396   -0.02344209    0.20000000)
iedge=   2, ipnt=  41: anal=   1.10512442   -0.02498546    0.20000000, ptrb=   1.10511919   -0.02509091    0.20000000, dist=   0.00010558 (at    1.10512442   -0.02498546    0.20000000)
iedge=   2, ipnt=  42: anal=   1.13662339   -0.02655878    0.20000000, ptrb=   1.13661792   -0.02666698    0.20000000, dist=   0.00010834 (at    1.13662339   -0.02655878    0.20000000)
iedge=   2, ipnt=  43: anal=   1.16812071   -0.02816497    0.20000000, ptrb=   1.16811498   -0.02827591    0.20000000, dist=   0.00011109 (at    1.16812071   -0.02816497    0.20000000)
iedge=   2, ipnt=  44: anal=   1.19961620   -0.02980653    0.20000000, ptrb=   1.19961019   -0.02992023    0.20000000, dist=   0.00011385 (at    1.19961620   -0.02980653    0.20000000)
iedge=   2, ipnt=  45: anal=   1.23110970   -0.03148579    0.20000000, ptrb=   1.23110341   -0.03160223    0.20000000, dist=   0.00011661 (at    1.23110970   -0.03148579    0.20000000)
iedge=   2, ipnt=  46: anal=   1.26260106   -0.03320468    0.20000000, ptrb=   1.26259447   -0.03332387    0.20000000, dist=   0.00011937 (at    1.26260106   -0.03320468    0.20000000)
iedge=   2, ipnt=  47: anal=   1.29409014   -0.03496495    0.20000000, ptrb=   1.29408324   -0.03508688    0.20000000, dist=   0.00012213 (at    1.29409014   -0.03496495    0.20000000)
iedge=   2, ipnt=  48: anal=   1.32557680   -0.03676801    0.20000000, ptrb=   1.32556957   -0.03689269    0.20000000, dist=   0.00012489 (at    1.32557680   -0.03676801    0.20000000)
...too many errors to list
iedge=   3, ipnt=   1: anal=   1.89293889   -0.07185212    0.20000000, ptrb=   1.89292388   -0.07202604    0.20000000, dist=   0.00017456 (at    1.89293889   -0.07185212    0.20000000)
    d(Edge)/d(alpha) check complete with       55 total errors (errmax=  1.7456e-04)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  7.6167e-09)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.033 sec

Sensitivity checks complete with      696 total errors (max tessel err=  1.9997e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0f.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "camber" for ibody=2
iface=   1, ipnt= 347 (Y): anal=   0.99746080,  fd=   0.99726110,  err=   0.00019970 (at    0.47877632    0.13974948    1.24729082)
iface=   1, ipnt= 356 (Y): anal=   0.99745853,  fd=   0.99725847,  err=   0.00020006 (at    0.51475444    0.15778025    1.78813725)
iface=   1, ipnt= 898 (Y): anal=   0.99636400,  fd=   0.99623824,  err=   0.00012576 (at    0.39187921    0.10232094    0.11466513)
iface=   1, ipnt= 899 (Y): anal=   0.99708042,  fd=   0.99689355,  err=   0.00018686 (at    0.39988439    0.10346292    0.15323496)
iface=   1, ipnt= 900 (Y): anal=   0.99740266,  fd=   0.99719876,  err=   0.00020389 (at    0.40687758    0.10462124    0.19195780)
iface=   1, ipnt= 901 (Y): anal=   0.99749423,  fd=   0.99730956,  err=   0.00018467 (at    0.41301574    0.10580136    0.23084670)
iface=   1, ipnt= 902 (Y): anal=   0.99745543,  fd=   0.99731859,  err=   0.00013684 (at    0.41844444    0.10700509    0.26991284)
iface=   1, ipnt=1019 (Y): anal=   0.99699935,  fd=   0.99681912,  err=   0.00018023 (at    0.45261682    0.13024094    0.95591649)
iface=   1, ipnt=1038 (Y): anal=   0.99698497,  fd=   0.99680594,  err=   0.00017903 (at    0.52739554    0.16769967    2.07956884)
iface=   1, ipnt=1112 (Y): anal=   0.99746293,  fd=   0.99732011,  err=   0.00014282 (at    0.58212036    0.18894693    2.72796034)
...too many errors to list
iface=   2, ipnt= 346 (Y): anal=   0.99634651,  fd=   0.99617954,  err=   0.00016696 (at    0.50969196    0.04197030    1.81346465)
iface=   2, ipnt= 357 (Y): anal=   0.99633024,  fd=   0.99616424,  err=   0.00016600 (at    0.46546322    0.01989730    1.15138281)
iface=   2, ipnt= 897 (Y): anal=   0.99584102,  fd=   0.99570502,  err=   0.00013601 (at    0.58114853    0.07887664    2.92374302)
iface=   2, ipnt= 898 (Y): anal=   0.99694360,  fd=   0.99674744,  err=   0.00019616 (at    0.58501310    0.07785304    2.88533546)
iface=   2, ipnt= 899 (Y): anal=   0.99744041,  fd=   0.99725806,  err=   0.00018235 (at    0.58772090    0.07677520    2.84676583)
iface=   2, ipnt=1019 (Y): anal=   0.99739179,  fd=   0.99720267,  err=   0.00018913 (at    0.53345329    0.04998968    2.04408907)
iface=   2, ipnt=1038 (Y): anal=   0.99738272,  fd=   0.99719261,  err=   0.00019011 (at    0.45841367    0.01252948    0.92043535)
iface=   2, ipnt=1041 (Y): anal=   0.99661481,  fd=   0.99643284,  err=   0.00018197 (at    0.51931959    0.04605673    1.93416452)
iface=   2, ipnt=1056 (Y): anal=   0.99659713,  fd=   0.99641608,  err=   0.00018105 (at    0.45896979    0.01593273    1.03057641)
iface=   2, ipnt=1115 (Y): anal=   0.99743034,  fd=   0.99724635,  err=   0.00018400 (at    0.40806004   -0.01297849    0.15435082)
...too many errors to list
    d(Face)/d(camber) check complete with       36 total errors (errmax=  2.0400e-04)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  7.0843e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.4602e-09)
 

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "thick" for ibody=2
    d(Face)/d(thick) check complete with        0 total errors (errmax=  7.8793e-05)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  7.8575e-05)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.0173e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dx" for ibody=2
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.7432e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.7840e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dy" for ibody=2
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.5967e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  5.6297e-11)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dz" for ibody=2
    d(Face)/d(dz) check complete with        0 total errors (errmax=  1.4720e-09)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  1.4720e-09)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  5.8387e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.906 sec

Sensitivity checks complete with       36 tnotal errors (max config err=  2.0400e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0f.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.4563e-07)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  3.3796e-07)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.9935e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(thick) check complete with        0 total errors (errmax=  8.0638e-08)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  8.0000e-08)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dx) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dy) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  4.4841e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dz) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  4.4841e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.878 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.4563e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0g.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xle[1,1]" for ibody=22
    d(Face)/d(xle) check complete with        0 total errors (errmax=  3.5510e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  3.0054e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xle[2,1]" for ibody=22
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.4225e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  4.4694e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  1.3930e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xle[3,1]" for ibody=22
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.3519e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  4.1231e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xle[4,1]" for ibody=22
    d(Face)/d(xle) check complete with        0 total errors (errmax=  3.7516e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  4.8853e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)
 

*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "yle[1,1]" for ibody=22
    d(Face)/d(yle) check complete with        0 total errors (errmax=  3.5510e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  4.1873e-11)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  4.3368e-19)

*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "yle[2,1]" for ibody=22
    d(Face)/d(yle) check complete with        0 total errors (errmax=  3.3004e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.3930e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "yle[3,1]" for ibody=22
    d(Face)/d(yle) check complete with        0 total errors (errmax=  3.4388e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  5.2683e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  8.2740e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "yle[4,1]" for ibody=22
    d(Face)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  3.0478e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zle[1,1]" for ibody=22
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.5510e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  1.0431e-10)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zle[2,1]" for ibody=22
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.6334e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  5.4960e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zle[3,1]" for ibody=22
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.6326e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.3711e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zle[4,1]" for ibody=22
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.5510e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.3765e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)
 

*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist[1,1]" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  5.0587e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  7.6592e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1577e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist[2,1]" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0581e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.4808e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  2.4009e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist[3,1]" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0134e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.5637e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  9.5163e-12)

*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist[4,1]" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  5.8015e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.9338e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.0229e-10)
 

*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "chord[1,1]" for ibody=22
    d(Face)/d(chord) check complete with        0 total errors (errmax=  2.9701e-09)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  3.0322e-09)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  5.6980e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "chord[2,1]" for ibody=22
    d(Face)/d(chord) check complete with        0 total errors (errmax=  1.3264e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  9.3895e-09)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  2.1566e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "chord[3,1]" for ibody=22
    d(Face)/d(chord) check complete with        0 total errors (errmax=  1.5871e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  2.4666e-08)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.7371e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "chord[4,1]" for ibody=22
    d(Face)/d(chord) check complete with        0 total errors (errmax=  1.5844e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  2.4352e-08)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.4367e-10)
 

*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thick[1,1]" for ibody=22
iface=   1, ipnt= 112 (X): anal=   0.02465957,  fd=   0.02481764,  err=  -0.00015807 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 112 (Z): anal=   0.14737005,  fd=   0.14831469,  err=  -0.00094464 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 113 (X): anal=   0.01232145,  fd=   0.01247508,  err=  -0.00015363 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 113 (Z): anal=   0.08889136,  fd=   0.08999970,  err=  -0.00110834 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 114 (Z): anal=   0.10353394,  fd=   0.10381920,  err=  -0.00028526 (at    1.33994590    0.10699975    0.19504558)
iface=   1, ipnt= 115 (Z): anal=   0.03951395,  fd=   0.03993035,  err=  -0.00041640 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 116 (Z): anal=   0.08241144,  fd=   0.08281370,  err=  -0.00040227 (at    1.36070002    0.17387459    0.19417821)
iface=   1, ipnt= 117 (Z): anal=   0.19783655,  fd=   0.19877253,  err=  -0.00093598 (at    1.07685186    0.09362478    0.23742682)
iface=   1, ipnt= 118 (Y): anal=   0.01297404,  fd=   0.01309576,  err=  -0.00012172 (at    1.13877613    0.17053085    0.22831388)
iface=   1, ipnt= 118 (Z): anal=   0.15664559,  fd=   0.15811515,  err=  -0.00146956 (at    1.13877613    0.17053085    0.22831388)
...too many errors to list
iface=   4, ipnt= 113 (Z): anal=  -0.14848406,  fd=  -0.14790460,  err=  -0.00057946 (at    1.23992626    0.16049963    0.16046907)
iface=   4, ipnt= 114 (Z): anal=  -0.08901707,  fd=  -0.08833878,  err=  -0.00067829 (at    1.29079734    0.26749938    0.16482147)
iface=   4, ipnt= 115 (Z): anal=  -0.10611285,  fd=  -0.10601145,  err=  -0.00010139 (at    1.33602738    0.10699975    0.15815932)
iface=   4, ipnt= 116 (Z): anal=  -0.03967714,  fd=  -0.03953078,  err=  -0.00014636 (at    1.40062345    0.30762428    0.16863209)
iface=   4, ipnt= 117 (X): anal=  -0.03347930,  fd=  -0.03323117,  err=  -0.00024814 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 117 (Y): anal=   0.02222234,  fd=   0.02205764,  err=   0.00016470 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 117 (Z): anal=  -0.19476483,  fd=  -0.19332130,  err=  -0.00144353 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 118 (Z): anal=  -0.07065456,  fd=  -0.07049825,  err=  -0.00015631 (at    1.37047862    0.21399950    0.16374480)
iface=   4, ipnt= 119 (X): anal=  -0.01972519,  fd=  -0.01947630,  err=  -0.00024889 (at    1.13325332    0.17053085    0.16802105)
iface=   4, ipnt= 119 (Y): anal=   0.01385757,  fd=   0.01368272,  err=   0.00017485 (at    1.13325332    0.17053085    0.16802105)
...too many errors to list
    d(Face)/d(thick) check complete with     2791 total errors (errmax=  4.4278e-03)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.8060e-05)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  3.9696e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thick[2,1]" for ibody=22
iface=   1, ipnt= 112 (X): anal=   0.00777717,  fd=   0.00762612,  err=   0.00015104 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 112 (Z): anal=   0.04647777,  fd=   0.04557509,  err=   0.00090267 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 113 (X): anal=   0.01082463,  fd=   0.01067782,  err=   0.00014681 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 113 (Z): anal=   0.07809273,  fd=   0.07703361,  err=   0.00105911 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 114 (Z): anal=   0.01807119,  fd=   0.01776821,  err=   0.00030298 (at    1.33994590    0.10699975    0.19504558)
iface=   1, ipnt= 115 (Z): anal=   0.05312893,  fd=   0.05268664,  err=   0.00044228 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 116 (Z): anal=   0.02956439,  fd=   0.02913713,  err=   0.00042727 (at    1.36070002    0.17387459    0.19417821)
iface=   1, ipnt= 117 (Z): anal=   0.02982993,  fd=   0.02902555,  err=   0.00080438 (at    1.07685186    0.09362478    0.23742682)
iface=   1, ipnt= 118 (Y): anal=   0.00460545,  fd=   0.00449998,  err=   0.00010546 (at    1.13877613    0.17053085    0.22831388)
iface=   1, ipnt= 118 (Z): anal=   0.05560510,  fd=   0.05433175,  err=   0.00127335 (at    1.13877613    0.17053085    0.22831388)
...too many errors to list
iface=   2, ipnt= 107 (Z): anal=   0.09702398,  fd=   0.09716574,  err=  -0.00014175 (at    1.42243056    0.51448425    0.20293443)
iface=   2, ipnt= 108 (Z): anal=   0.07947405,  fd=   0.07967209,  err=  -0.00019804 (at    1.45675885    0.56816475    0.20595965)
iface=   2, ipnt= 109 (Z): anal=   0.06384269,  fd=   0.06406632,  err=  -0.00022363 (at    1.48727287    0.61588075    0.20864873)
iface=   2, ipnt= 110 (Z): anal=   0.05405717,  fd=   0.05428346,  err=  -0.00022628 (at    1.50634414    0.64570325    0.21032941)
iface=   2, ipnt= 111 (Z): anal=   0.04033587,  fd=   0.04054634,  err=  -0.00021046 (at    1.53304392    0.68745475    0.21268236)
iface=   2, ipnt= 112 (Z): anal=   0.02855402,  fd=   0.02873050,  err=  -0.00017648 (at    1.55592944    0.72324175    0.21469918)
iface=   2, ipnt= 115 (Z): anal=   0.12081446,  fd=   0.12099805,  err=  -0.00018359 (at    1.33205461    0.48167950    0.20271765)
iface=   2, ipnt= 117 (Z): anal=   0.10376761,  fd=   0.10407381,  err=  -0.00030619 (at    1.36449516    0.52790437    0.20496470)
iface=   2, ipnt= 119 (Z): anal=   0.08616983,  fd=   0.08656321,  err=  -0.00039337 (at    1.39798219    0.57562037    0.20728423)
iface=   2, ipnt= 121 (Z): anal=   0.07407254,  fd=   0.07449965,  err=  -0.00042711 (at    1.42100452    0.60842513    0.20887891)
...too many errors to list
iface=   4, ipnt= 113 (Z): anal=  -0.04742060,  fd=  -0.04788637,  err=   0.00046577 (at    1.23992626    0.16049963    0.16046907)
iface=   4, ipnt= 114 (Z): anal=  -0.07910386,  fd=  -0.07964906,  err=   0.00054520 (at    1.29079734    0.26749938    0.16482147)
iface=   4, ipnt= 116 (Z): anal=  -0.05416876,  fd=  -0.05428533,  err=   0.00011657 (at    1.40062345    0.30762428    0.16863209)
iface=   4, ipnt= 117 (X): anal=  -0.00496182,  fd=  -0.00517026,  err=   0.00020845 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 117 (Y): anal=   0.00329347,  fd=   0.00343183,  err=  -0.00013836 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 117 (Z): anal=  -0.02886521,  fd=  -0.03007784,  err=   0.00121262 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 118 (Z): anal=  -0.03771168,  fd=  -0.03783618,  err=   0.00012450 (at    1.37047862    0.21399950    0.16374480)
iface=   4, ipnt= 119 (X): anal=  -0.00693465,  fd=  -0.00714244,  err=   0.00020779 (at    1.13325332    0.17053085    0.16802105)
iface=   4, ipnt= 119 (Y): anal=   0.00487181,  fd=   0.00501779,  err=  -0.00014598 (at    1.13325332    0.17053085    0.16802105)
iface=   4, ipnt= 119 (Z): anal=  -0.05477935,  fd=  -0.05642076,  err=   0.00164140 (at    1.13325332    0.17053085    0.16802105)
...too many errors to list
iface=   5, ipnt= 109 (Z): anal=  -0.08568020,  fd=  -0.08556002,  err=  -0.00012018 (at    1.44556288    0.55027125    0.18154010)
iface=   5, ipnt= 110 (Z): anal=  -0.07089748,  fd=  -0.07075548,  err=  -0.00014200 (at    1.47426737    0.59500500    0.18526816)
iface=   5, ipnt= 111 (Z): anal=  -0.06202837,  fd=  -0.06188012,  err=  -0.00014825 (at    1.49149007    0.62184525    0.18750500)
iface=   5, ipnt= 112 (Z): anal=  -0.04823374,  fd=  -0.04808725,  err=  -0.00014649 (at    1.51828092    0.66359675    0.19098453)
iface=   5, ipnt= 113 (Z): anal=  -0.03936760,  fd=  -0.03923040,  err=  -0.00013720 (at    1.53550362    0.69043700    0.19322137)
iface=   5, ipnt= 116 (Z): anal=  -0.12114440,  fd=  -0.12096126,  err=  -0.00018314 (at    1.33045558    0.47869725    0.17445697)
iface=   5, ipnt= 117 (Z): anal=  -0.02194055,  fd=  -0.02166403,  err=  -0.00027652 (at    1.52198462    0.75008200    0.19578412)
iface=   5, ipnt= 119 (Z): anal=  -0.10648679,  fd=  -0.10618705,  err=  -0.00029974 (at    1.35880869    0.51895762    0.17761946)
iface=   5, ipnt= 121 (Z): anal=  -0.09126279,  fd=  -0.09087274,  err=  -0.00039005 (at    1.38821191    0.56070912    0.18089908)
iface=   5, ipnt= 124 (Z): anal=  -0.07546956,  fd=  -0.07502310,  err=  -0.00044647 (at    1.41866524    0.60395175    0.18429583)
...too many errors to list
    d(Face)/d(thick) check complete with     3399 total errors (errmax=  4.0888e-03)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  9.5125e-05)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.2153e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thick[3,1]" for ibody=22
iface=   2, ipnt= 107 (Z): anal=   0.01907399,  fd=   0.01892921,  err=   0.00014478 (at    1.42243056    0.51448425    0.20293443)
iface=   2, ipnt= 108 (Z): anal=   0.03095438,  fd=   0.03075214,  err=   0.00020224 (at    1.45675885    0.56816475    0.20595965)
iface=   2, ipnt= 109 (Z): anal=   0.04154368,  fd=   0.04131533,  err=   0.00022836 (at    1.48727287    0.61588075    0.20864873)
iface=   2, ipnt= 110 (Z): anal=   0.04817658,  fd=   0.04794551,  err=   0.00023107 (at    1.50634414    0.64570325    0.21032941)
iface=   2, ipnt= 111 (Z): anal=   0.05748224,  fd=   0.05726732,  err=   0.00021492 (at    1.53304392    0.68745475    0.21268236)
iface=   2, ipnt= 112 (Z): anal=   0.06547719,  fd=   0.06529695,  err=   0.00018023 (at    1.55592944    0.72324175    0.21469918)
iface=   2, ipnt= 115 (Z): anal=   0.01331597,  fd=   0.01313761,  err=   0.00017836 (at    1.33205461    0.48167950    0.20271765)
iface=   2, ipnt= 117 (Z): anal=   0.02478347,  fd=   0.02448597,  err=   0.00029750 (at    1.36449516    0.52790437    0.20496470)
iface=   2, ipnt= 119 (Z): anal=   0.03661894,  fd=   0.03623671,  err=   0.00038222 (at    1.39798219    0.57562037    0.20728423)
iface=   2, ipnt= 121 (Z): anal=   0.04475265,  fd=   0.04433764,  err=   0.00041501 (at    1.42100452    0.60842513    0.20887891)
...too many errors to list
iface=   3, ipnt= 106 (Z): anal=   0.06004263,  fd=   0.06014350,  err=  -0.00010087 (at    1.67379393    0.90732806    0.23281301)
iface=   3, ipnt= 107 (Z): anal=   0.05095240,  fd=   0.05107830,  err=  -0.00012591 (at    1.69812197    0.94528403    0.23796184)
iface=   3, ipnt= 108 (Z): anal=   0.04510146,  fd=   0.04523815,  err=  -0.00013668 (at    1.71376142    0.96968430    0.24127181)
iface=   3, ipnt= 109 (Z): anal=   0.03663906,  fd=   0.03678272,  err=  -0.00014366 (at    1.73635174    1.00492913    0.24605287)
iface=   3, ipnt= 110 (Z): anal=   0.03011979,  fd=   0.03026082,  err=  -0.00014103 (at    1.75372891    1.03204053    0.24973061)
iface=   3, ipnt= 111 (Z): anal=   0.02163075,  fd=   0.02175598,  err=  -0.00012523 (at    1.77631923    1.06728536    0.25451167)
iface=   3, ipnt= 112 (Z): anal=   0.01770697,  fd=   0.01781945,  err=  -0.00011248 (at    1.78674554    1.08355220    0.25671832)
iface=   3, ipnt= 154 (Z): anal=   0.04232401,  fd=   0.04245102,  err=  -0.00012700 (at    1.71434003    0.99950684    0.24521048)
iface=   3, ipnt= 162 (Z): anal=   0.05124370,  fd=   0.05136406,  err=  -0.00012036 (at    1.69201047    0.96629537    0.24076626)
iface=   3, ipnt= 164 (Z): anal=   0.05797529,  fd=   0.05808549,  err=  -0.00011020 (at    1.67514937    0.94121732    0.23741041)
...too many errors to list
iface=   5, ipnt= 109 (Z): anal=  -0.02718564,  fd=  -0.02729294,  err=   0.00010730 (at    1.44556288    0.55027125    0.18154010)
iface=   5, ipnt= 110 (Z): anal=  -0.03713123,  fd=  -0.03725800,  err=   0.00012677 (at    1.47426737    0.59500500    0.18526816)
iface=   5, ipnt= 111 (Z): anal=  -0.04309768,  fd=  -0.04323002,  err=   0.00013234 (at    1.49149007    0.62184525    0.18750500)
iface=   5, ipnt= 112 (Z): anal=  -0.05237640,  fd=  -0.05250717,  err=   0.00013077 (at    1.51828092    0.66359675    0.19098453)
iface=   5, ipnt= 113 (Z): anal=  -0.05833899,  fd=  -0.05846147,  err=   0.00012248 (at    1.53550362    0.69043700    0.19322137)
iface=   5, ipnt= 116 (Z): anal=  -0.01246298,  fd=  -0.01263535,  err=   0.00017238 (at    1.33045558    0.47869725    0.17445697)
iface=   5, ipnt= 117 (Z): anal=  -0.07975734,  fd=  -0.08001748,  err=   0.00026014 (at    1.52198462    0.75008200    0.19578412)
iface=   5, ipnt= 119 (Z): anal=  -0.02238160,  fd=  -0.02266371,  err=   0.00028210 (at    1.35880869    0.51895762    0.17761946)
iface=   5, ipnt= 121 (Z): anal=  -0.03268799,  fd=  -0.03305509,  err=   0.00036710 (at    1.38821191    0.56070912    0.18089908)
iface=   5, ipnt= 124 (Z): anal=  -0.04338420,  fd=  -0.04380439,  err=   0.00042019 (at    1.41866524    0.60395175    0.18429583)
...too many errors to list
iface=   6, ipnt= 110 (Z): anal=  -0.03669320,  fd=  -0.03659008,  err=  -0.00010312 (at    1.73704654    1.00492913    0.23379157)
iface=   6, ipnt= 111 (Z): anal=  -0.03013723,  fd=  -0.03003613,  err=  -0.00010111 (at    1.75440732    1.03204053    0.23804556)
iface=   6, ipnt= 169 (Z): anal=  -0.04095449,  fd=  -0.04085282,  err=  -0.00010167 (at    1.72576203    0.98730671    0.23102648)
iface=   6, ipnt= 181 (Z): anal=  -0.03421759,  fd=  -0.03411654,  err=  -0.00010105 (at    1.73521526    1.02932939    0.23618473)
iface=   6, ipnt= 195 (Z): anal=  -0.04149375,  fd=  -0.04139109,  err=  -0.00010265 (at    1.71701893    1.00221798    0.23191878)
    d(Face)/d(thick) check complete with      671 total errors (errmax=  6.9855e-04)
iedge=   7, ipnt=  11 (X): anal=  -0.00766138,  fd=  -0.00755509,  err=  -0.00010629 (at    1.51694211    0.80972700    0.20714140)
    d(Edge)/d(thick) check complete with        1 total errors (errmax=  1.0629e-04)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.1068e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thick[4,1]" for ibody=22
iface=   3, ipnt= 107 (Z): anal=   0.01816067,  fd=   0.01805082,  err=   0.00010985 (at    1.69812197    0.94528403    0.23796184)
iface=   3, ipnt= 108 (Z): anal=   0.02144555,  fd=   0.02132631,  err=   0.00011924 (at    1.71376142    0.96968430    0.24127181)
iface=   3, ipnt= 109 (Z): anal=   0.02620084,  fd=   0.02607552,  err=   0.00012532 (at    1.73635174    1.00492913    0.24605287)
iface=   3, ipnt= 110 (Z): anal=   0.02986792,  fd=   0.02974490,  err=   0.00012302 (at    1.75372891    1.03204053    0.24973061)
iface=   3, ipnt= 111 (Z): anal=   0.03464821,  fd=   0.03453898,  err=   0.00010924 (at    1.77631923    1.06728536    0.25451167)
iface=   3, ipnt= 154 (Z): anal=   0.02848323,  fd=   0.02836850,  err=   0.00011473 (at    1.71434003    0.99950684    0.24521048)
iface=   3, ipnt= 162 (Z): anal=   0.02348782,  fd=   0.02337923,  err=   0.00010858 (at    1.69201047    0.96629537    0.24076626)
iface=   3, ipnt= 167 (Z): anal=   0.01921544,  fd=   0.01910995,  err=   0.00010549 (at    1.74272828    0.98527336    0.24288755)
iface=   3, ipnt= 171 (Z): anal=   0.03225614,  fd=   0.03213836,  err=   0.00011778 (at    1.76502407    1.04966295    0.25212114)
iface=   3, ipnt= 182 (Z): anal=   0.02153825,  fd=   0.02143080,  err=   0.00010745 (at    1.75553773    1.00628470    0.24580854)
...too many errors to list
iface=   6, ipnt= 108 (Z): anal=  -0.01798284,  fd=  -0.01808770,  err=   0.00010486 (at    1.69711674    0.94257289    0.22400740)
iface=   6, ipnt= 109 (Z): anal=  -0.02165482,  fd=  -0.02176987,  err=   0.00011505 (at    1.71447752    0.96968430    0.22826139)
iface=   6, ipnt= 110 (Z): anal=  -0.02642866,  fd=  -0.02654940,  err=   0.00012074 (at    1.73704654    1.00492913    0.23379157)
iface=   6, ipnt= 111 (Z): anal=  -0.03010051,  fd=  -0.03021889,  err=   0.00011837 (at    1.75440732    1.03204053    0.23804556)
iface=   6, ipnt= 112 (Z): anal=  -0.03487237,  fd=  -0.03497729,  err=   0.00010492 (at    1.77697633    1.06728536    0.24357574)
iface=   6, ipnt= 169 (Z): anal=  -0.02404174,  fd=  -0.02416079,  err=   0.00011904 (at    1.72576203    0.98730671    0.23102648)
iface=   6, ipnt= 175 (Z): anal=  -0.01955195,  fd=  -0.01965327,  err=   0.00010132 (at    1.74324748    0.98527336    0.23244904)
iface=   6, ipnt= 181 (Z): anal=  -0.03296270,  fd=  -0.03307428,  err=   0.00011157 (at    1.73521526    1.02932939    0.23618473)
iface=   6, ipnt= 183 (Z): anal=  -0.03248675,  fd=  -0.03259999,  err=   0.00011323 (at    1.76569182    1.04966295    0.24081065)
iface=   6, ipnt= 189 (Z): anal=  -0.02369511,  fd=  -0.02380265,  err=   0.00010754 (at    1.69381861    0.96765094    0.22647970)
...too many errors to list
    d(Face)/d(thick) check complete with       55 total errors (errmax=  1.2860e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  6.0030e-05)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.0033e-10)
 

*********************************************************
Starting configuration sensitivity wrt "cambr[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "cambr[1,1]" for ibody=22
iface=   1, ipnt= 112 (X): anal=   0.05409162,  fd=   0.05429475,  err=  -0.00020313 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 112 (Z): anal=   0.32326131,  fd=   0.32447524,  err=  -0.00121394 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 113 (X): anal=   0.02700098,  fd=   0.02719853,  err=  -0.00019755 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 113 (Z): anal=   0.19479471,  fd=   0.19621992,  err=  -0.00142521 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 114 (X): anal=   0.06171040,  fd=   0.06186095,  err=  -0.00015055 (at    1.33994590    0.10699975    0.19504558)
iface=   1, ipnt= 114 (Z): anal=   0.26243013,  fd=   0.26307034,  err=  -0.00064021 (at    1.33994590    0.10699975    0.19504558)
iface=   1, ipnt= 115 (X): anal=   0.01776075,  fd=   0.01792753,  err=  -0.00016678 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 115 (Z): anal=   0.09951930,  fd=   0.10045383,  err=  -0.00093453 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 116 (X): anal=   0.04579088,  fd=   0.04598913,  err=  -0.00019825 (at    1.36070002    0.17387459    0.19417821)
iface=   1, ipnt= 116 (Z): anal=   0.20852706,  fd=   0.20942987,  err=  -0.00090281 (at    1.36070002    0.17387459    0.19417821)
...too many errors to list
iface=   4, ipnt= 113 (Z): anal=   0.32627626,  fd=   0.32552686,  err=   0.00074940 (at    1.23992626    0.16049963    0.16046907)
iface=   4, ipnt= 114 (Z): anal=   0.19572390,  fd=   0.19484758,  err=   0.00087632 (at    1.29079734    0.26749938    0.16482147)
iface=   4, ipnt= 115 (Z): anal=   0.26983430,  fd=   0.26960398,  err=   0.00023032 (at    1.33602738    0.10699975    0.15815932)
iface=   4, ipnt= 116 (Z): anal=   0.10112398,  fd=   0.10079157,  err=   0.00033241 (at    1.40062345    0.30762428    0.16863209)
iface=   4, ipnt= 117 (Z): anal=   0.30999573,  fd=   0.30975282,  err=   0.00024291 (at    1.06976850    0.09362478    0.16969870)
iface=   4, ipnt= 118 (Z): anal=   0.17985496,  fd=   0.17949994,  err=   0.00035502 (at    1.37047862    0.21399950    0.16374480)
iface=   4, ipnt= 119 (Z): anal=   0.26246511,  fd=   0.26194088,  err=   0.00052423 (at    1.13325332    0.17053085    0.16802105)
iface=   4, ipnt= 120 (Z): anal=   0.19438869,  fd=   0.19379101,  err=   0.00059768 (at    1.17520095    0.23740570    0.16865833)
iface=   4, ipnt= 121 (Z): anal=   0.08205159,  fd=   0.08159920,  err=   0.00045240 (at    1.24507328    0.34774919    0.16966771)
iface=   4, ipnt= 122 (Z): anal=   0.42578890,  fd=   0.42517341,  err=   0.00061548 (at    1.15738293    0.08526543    0.15952138)
...too many errors to list
    d(Face)/d(cambr) check complete with     1165 total errors (errmax=  1.4452e-03)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  2.2330e-05)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  4.7946e-09)

*********************************************************
Starting configuration sensitivity wrt "cambr[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "cambr[2,1]" for ibody=22
iface=   1, ipnt= 112 (X): anal=   0.01711960,  fd=   0.01696953,  err=   0.00015007 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 112 (Z): anal=   0.10230983,  fd=   0.10141298,  err=   0.00089685 (at    1.24531187    0.16049963    0.21630673)
iface=   1, ipnt= 113 (X): anal=   0.02381431,  fd=   0.02366845,  err=   0.00014586 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 113 (Z): anal=   0.17180492,  fd=   0.17075263,  err=   0.00105230 (at    1.29403668    0.26749938    0.20900822)
iface=   1, ipnt= 114 (Z): anal=   0.04578599,  fd=   0.04537175,  err=   0.00041424 (at    1.33994590    0.10699975    0.19504558)
iface=   1, ipnt= 115 (X): anal=   0.02393988,  fd=   0.02383196,  err=   0.00010792 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 115 (Z): anal=   0.13414300,  fd=   0.13353830,  err=   0.00060470 (at    1.40220825    0.30762428    0.19244348)
iface=   1, ipnt= 116 (X): anal=   0.01643305,  fd=   0.01630477,  err=   0.00012828 (at    1.36070002    0.17387459    0.19417821)
iface=   1, ipnt= 116 (Z): anal=   0.07483447,  fd=   0.07425031,  err=   0.00058416 (at    1.36070002    0.17387459    0.19417821)
iface=   1, ipnt= 117 (Z): anal=   0.04742648,  fd=   0.04720471,  err=   0.00022177 (at    1.07685186    0.09362478    0.23742682)
...too many errors to list
iface=   2, ipnt= 107 (Z): anal=   0.21314245,  fd=   0.21328323,  err=  -0.00014078 (at    1.42243056    0.51448425    0.20293443)
iface=   2, ipnt= 108 (Z): anal=   0.17457121,  fd=   0.17476792,  err=  -0.00019671 (at    1.45675885    0.56816475    0.20595965)
iface=   2, ipnt= 109 (Z): anal=   0.14022188,  fd=   0.14044402,  err=  -0.00022214 (at    1.48727287    0.61588075    0.20864873)
iface=   2, ipnt= 110 (Z): anal=   0.11872141,  fd=   0.11894620,  err=  -0.00022479 (at    1.50634414    0.64570325    0.21032941)
iface=   2, ipnt= 111 (Z): anal=   0.08857753,  fd=   0.08878661,  err=  -0.00020908 (at    1.53304392    0.68745475    0.21268236)
iface=   2, ipnt= 112 (Z): anal=   0.06269872,  fd=   0.06287404,  err=  -0.00017532 (at    1.55592944    0.72324175    0.21469918)
iface=   2, ipnt= 117 (Z): anal=   0.17755793,  fd=   0.17766695,  err=  -0.00010902 (at    1.36449516    0.52790437    0.20496470)
iface=   2, ipnt= 118 (Z): anal=   0.08665248,  fd=   0.08676960,  err=  -0.00011712 (at    1.55760721    0.63228313    0.20470956)
iface=   2, ipnt= 119 (Z): anal=   0.14752932,  fd=   0.14766939,  err=  -0.00014008 (at    1.39798219    0.57562037    0.20728423)
iface=   2, ipnt= 120 (Z): anal=   0.06488271,  fd=   0.06499481,  err=  -0.00011210 (at    1.58345573    0.67701688    0.20773744)
...too many errors to list
iface=   4, ipnt= 113 (Z): anal=   0.10417355,  fd=   0.10467636,  err=  -0.00050281 (at    1.23992626    0.16049963    0.16046907)
iface=   4, ipnt= 114 (Z): anal=   0.17386563,  fd=   0.17445419,  err=  -0.00058857 (at    1.29079734    0.26749938    0.16482147)
iface=   4, ipnt= 115 (Z): anal=   0.04746612,  fd=   0.04763862,  err=  -0.00017250 (at    1.33602738    0.10699975    0.15815932)
iface=   4, ipnt= 116 (Z): anal=   0.13655238,  fd=   0.13680135,  err=  -0.00024897 (at    1.40062345    0.30762428    0.16863209)
iface=   4, ipnt= 118 (Z): anal=   0.09496957,  fd=   0.09523547,  err=  -0.00026590 (at    1.37047862    0.21399950    0.16374480)
iface=   4, ipnt= 119 (Z): anal=   0.09524724,  fd=   0.09550809,  err=  -0.00026085 (at    1.13325332    0.17053085    0.16802105)
iface=   4, ipnt= 120 (Z): anal=   0.13311211,  fd=   0.13340946,  err=  -0.00029735 (at    1.17520095    0.23740570    0.16865833)
iface=   4, ipnt= 121 (Z): anal=   0.19681429,  fd=   0.19704135,  err=  -0.00022706 (at    1.24507328    0.34774919    0.16966771)
iface=   4, ipnt= 122 (Z): anal=   0.05652006,  fd=   0.05688925,  err=  -0.00036919 (at    1.15738293    0.08526543    0.15952138)
iface=   4, ipnt= 123 (Z): anal=   0.22617960,  fd=   0.22661799,  err=  -0.00043839 (at    1.32895064    0.34774919    0.16808576)
...too many errors to list
iface=   5, ipnt= 109 (Z): anal=   0.18859700,  fd=   0.18846728,  err=   0.00012972 (at    1.44556288    0.55027125    0.18154010)
iface=   5, ipnt= 110 (Z): anal=   0.15607425,  fd=   0.15592096,  err=   0.00015328 (at    1.47426737    0.59500500    0.18526816)
iface=   5, ipnt= 111 (Z): anal=   0.13655907,  fd=   0.13639905,  err=   0.00016002 (at    1.49149007    0.62184525    0.18750500)
iface=   5, ipnt= 112 (Z): anal=   0.10620155,  fd=   0.10604343,  err=   0.00015813 (at    1.51828092    0.66359675    0.19098453)
iface=   5, ipnt= 113 (Z): anal=   0.08668687,  fd=   0.08653877,  err=   0.00014810 (at    1.53550362    0.69043700    0.19322137)
iface=   5, ipnt= 132 (Z): anal=   0.12023662,  fd=   0.12011353,  err=   0.00012309 (at    1.52248369    0.62333638    0.18932631)
iface=   5, ipnt= 136 (Z): anal=   0.06373341,  fd=   0.06361238,  err=   0.00012102 (at    1.56139256    0.72025950    0.19611969)
iface=   5, ipnt= 150 (Z): anal=   0.07751432,  fd=   0.07740393,  err=   0.00011038 (at    1.56467130    0.68670919    0.19488010)
iface=   5, ipnt= 153 (Z): anal=   0.15728150,  fd=   0.15717419,  err=   0.00010730 (at    1.48744244    0.56592806    0.18450773)
iface=   5, ipnt= 154 (Z): anal=   0.20565369,  fd=   0.20552729,  err=   0.00012641 (at    1.40067526    0.53163219    0.17889893)
...too many errors to list
    d(Face)/d(cambr) check complete with      944 total errors (errmax=  1.1128e-03)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  7.7579e-06)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  1.7471e-09)

*********************************************************
Starting configuration sensitivity wrt "cambr[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "cambr[3,1]" for ibody=22
iface=   2, ipnt= 107 (Z): anal=   0.04192111,  fd=   0.04178690,  err=   0.00013421 (at    1.42243056    0.51448425    0.20293443)
iface=   2, ipnt= 108 (Z): anal=   0.06802701,  fd=   0.06783954,  err=   0.00018748 (at    1.45675885    0.56816475    0.20595965)
iface=   2, ipnt= 109 (Z): anal=   0.09129206,  fd=   0.09108036,  err=   0.00021169 (at    1.48727287    0.61588075    0.20864873)
iface=   2, ipnt= 110 (Z): anal=   0.10586266,  fd=   0.10564845,  err=   0.00021421 (at    1.50634414    0.64570325    0.21032941)
iface=   2, ipnt= 111 (Z): anal=   0.12630150,  fd=   0.12610226,  err=   0.00019924 (at    1.53304392    0.68745475    0.21268236)
iface=   2, ipnt= 112 (Z): anal=   0.14385832,  fd=   0.14369123,  err=   0.00016708 (at    1.55592944    0.72324175    0.21469918)
iface=   2, ipnt= 117 (Z): anal=   0.04224576,  fd=   0.04212103,  err=   0.00012474 (at    1.36449516    0.52790437    0.20496470)
iface=   2, ipnt= 118 (Z): anal=   0.06692761,  fd=   0.06682718,  err=   0.00010042 (at    1.55760721    0.63228313    0.20470956)
iface=   2, ipnt= 119 (Z): anal=   0.06244769,  fd=   0.06228743,  err=   0.00016026 (at    1.39798219    0.57562037    0.20728423)
iface=   2, ipnt= 121 (Z): anal=   0.07634320,  fd=   0.07616919,  err=   0.00017401 (at    1.42100452    0.60842513    0.20887891)
...too many errors to list
iface=   3, ipnt= 107 (Z): anal=   0.11190553,  fd=   0.11202225,  err=  -0.00011671 (at    1.69812197    0.94528403    0.23796184)
iface=   3, ipnt= 108 (Z): anal=   0.09905140,  fd=   0.09917811,  err=  -0.00012671 (at    1.71376142    0.96968430    0.24127181)
iface=   3, ipnt= 109 (Z): anal=   0.08046137,  fd=   0.08059454,  err=  -0.00013317 (at    1.73635174    1.00492913    0.24605287)
iface=   3, ipnt= 110 (Z): anal=   0.06614118,  fd=   0.06627191,  err=  -0.00013073 (at    1.75372891    1.03204053    0.24973061)
iface=   3, ipnt= 111 (Z): anal=   0.04749610,  fd=   0.04761219,  err=  -0.00011609 (at    1.77631923    1.06728536    0.25451167)
iface=   3, ipnt= 112 (Z): anal=   0.03887887,  fd=   0.03898314,  err=  -0.00010427 (at    1.78674554    1.08355220    0.25671832)
iface=   3, ipnt= 140 (Z): anal=   0.04558536,  fd=   0.04569020,  err=  -0.00010484 (at    1.78716774    1.02932939    0.24826993)
iface=   3, ipnt= 142 (Z): anal=   0.05328581,  fd=   0.05339215,  err=  -0.00010634 (at    1.77462175    1.00764027    0.24515390)
iface=   3, ipnt= 147 (Z): anal=   0.06073154,  fd=   0.06083611,  err=  -0.00010457 (at    1.76246783    0.98662893    0.24213525)
iface=   3, ipnt= 158 (Z): anal=   0.10861228,  fd=   0.10871385,  err=  -0.00010156 (at    1.70512635    0.92359491    0.23431304)
...too many errors to list
iface=   5, ipnt= 109 (Z): anal=   0.05981351,  fd=   0.05992718,  err=  -0.00011367 (at    1.44556288    0.55027125    0.18154010)
iface=   5, ipnt= 110 (Z): anal=   0.08170476,  fd=   0.08183907,  err=  -0.00013431 (at    1.47426737    0.59500500    0.18526816)
iface=   5, ipnt= 111 (Z): anal=   0.09484032,  fd=   0.09498055,  err=  -0.00014022 (at    1.49149007    0.62184525    0.18750500)
iface=   5, ipnt= 112 (Z): anal=   0.11527281,  fd=   0.11541139,  err=  -0.00013857 (at    1.51828092    0.66359675    0.19098453)
iface=   5, ipnt= 113 (Z): anal=   0.12840627,  fd=   0.12853607,  err=  -0.00012980 (at    1.53550362    0.69043700    0.19322137)
iface=   5, ipnt= 132 (Z): anal=   0.08471386,  fd=   0.08482770,  err=  -0.00011384 (at    1.52248369    0.62333638    0.18932631)
iface=   5, ipnt= 136 (Z): anal=   0.14014672,  fd=   0.14025420,  err=  -0.00010749 (at    1.56139256    0.72025950    0.19611969)
iface=   5, ipnt= 150 (Z): anal=   0.10959630,  fd=   0.10969899,  err=  -0.00010270 (at    1.56467130    0.68670919    0.19488010)
iface=   5, ipnt= 162 (Z): anal=   0.07438265,  fd=   0.07450504,  err=  -0.00012238 (at    1.43128152    0.57711150    0.18261644)
iface=   5, ipnt= 163 (Z): anal=   0.14722035,  fd=   0.14733296,  err=  -0.00011261 (at    1.53199271    0.72175063    0.19458890)
...too many errors to list
iface=   6, ipnt= 109 (Z): anal=   0.09960994,  fd=   0.09950594,  err=   0.00010400 (at    1.71447752    0.96968430    0.22826139)
iface=   6, ipnt= 110 (Z): anal=   0.08084591,  fd=   0.08073675,  err=   0.00010916 (at    1.73704654    1.00492913    0.23379157)
iface=   6, ipnt= 111 (Z): anal=   0.06640872,  fd=   0.06630169,  err=   0.00010703 (at    1.75440732    1.03204053    0.23804556)
iface=   6, ipnt= 132 (Z): anal=   0.06948923,  fd=   0.06936005,  err=   0.00012919 (at    1.75064391    0.96561759    0.23128471)
iface=   6, ipnt= 133 (Z): anal=   0.08229387,  fd=   0.08218172,  err=   0.00011216 (at    1.73025210    0.93037276    0.22577280)
iface=   6, ipnt= 134 (Z): anal=   0.04632491,  fd=   0.04619001,  err=   0.00013491 (at    1.78750604    1.02932939    0.24124853)
iface=   6, ipnt= 139 (Z): anal=   0.05914164,  fd=   0.05900549,  err=   0.00013615 (at    1.76711423    0.99408456    0.23573663)
iface=   6, ipnt= 144 (Z): anal=   0.03597018,  fd=   0.03584562,  err=   0.00012456 (at    1.80397635    1.05779637    0.24570046)
iface=   6, ipnt= 169 (Z): anal=   0.09022860,  fd=   0.09012098,  err=   0.00010762 (at    1.72576203    0.98730671    0.23102648)
iface=   6, ipnt= 172 (Z): anal=   0.03204543,  fd=   0.03192732,  err=   0.00011811 (at    1.80593509    1.04661291    0.24495456)
...too many errors to list
    d(Face)/d(cambr) check complete with      113 total errors (errmax=  2.4416e-04)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  8.2290e-06)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  1.0773e-09)

*********************************************************
Starting configuration sensitivity wrt "cambr[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "cambr[4,1]" for ibody=22
iface=   3, ipnt= 107 (Z): anal=   0.03997196,  fd=   0.03986480,  err=   0.00010716 (at    1.69812197    0.94528403    0.23796184)
iface=   3, ipnt= 108 (Z): anal=   0.04719923,  fd=   0.04708290,  err=   0.00011632 (at    1.71376142    0.96968430    0.24127181)
iface=   3, ipnt= 109 (Z): anal=   0.05765956,  fd=   0.05753732,  err=   0.00012224 (at    1.73635174    1.00492913    0.24605287)
iface=   3, ipnt= 110 (Z): anal=   0.06572426,  fd=   0.06560427,  err=   0.00011999 (at    1.75372891    1.03204053    0.24973061)
iface=   3, ipnt= 111 (Z): anal=   0.07623425,  fd=   0.07612771,  err=   0.00010653 (at    1.77631923    1.06728536    0.25451167)
iface=   3, ipnt= 136 (Z): anal=   0.03099192,  fd=   0.03087835,  err=   0.00011357 (at    1.75031391    0.96561759    0.23911660)
iface=   3, ipnt= 140 (Z): anal=   0.04381458,  fd=   0.04369545,  err=   0.00011914 (at    1.78716774    1.02932939    0.24826993)
iface=   3, ipnt= 142 (Z): anal=   0.03943732,  fd=   0.03931648,  err=   0.00012084 (at    1.77462175    1.00764027    0.24515390)
iface=   3, ipnt= 147 (Z): anal=   0.03520897,  fd=   0.03509015,  err=   0.00011882 (at    1.76246783    0.98662893    0.24213525)
iface=   3, ipnt= 148 (Z): anal=   0.04958014,  fd=   0.04946988,  err=   0.00011026 (at    1.80363434    1.05779637    0.25235971)
...too many errors to list
iface=   6, ipnt= 108 (Z): anal=   0.03952649,  fd=   0.03962958,  err=  -0.00010309 (at    1.69711674    0.94257289    0.22400740)
iface=   6, ipnt= 109 (Z): anal=   0.04760077,  fd=   0.04771388,  err=  -0.00011311 (at    1.71447752    0.96968430    0.22826139)
iface=   6, ipnt= 110 (Z): anal=   0.05810008,  fd=   0.05821879,  err=  -0.00011870 (at    1.73704654    1.00492913    0.23379157)
iface=   6, ipnt= 111 (Z): anal=   0.06617769,  fd=   0.06629407,  err=  -0.00011638 (at    1.75440732    1.03204053    0.23804556)
iface=   6, ipnt= 112 (Z): anal=   0.07667813,  fd=   0.07678129,  err=  -0.00010316 (at    1.77697633    1.06728536    0.24357574)
iface=   6, ipnt= 132 (Z): anal=   0.03163050,  fd=   0.03174447,  err=  -0.00011397 (at    1.75064391    0.96561759    0.23128471)
iface=   6, ipnt= 134 (Z): anal=   0.04457499,  fd=   0.04469401,  err=  -0.00011902 (at    1.78750604    1.02932939    0.24124853)
iface=   6, ipnt= 139 (Z): anal=   0.03741420,  fd=   0.03753432,  err=  -0.00012012 (at    1.76711423    0.99408456    0.23573663)
iface=   6, ipnt= 144 (Z): anal=   0.05035636,  fd=   0.05046625,  err=  -0.00010989 (at    1.80397635    1.05779637    0.24570046)
iface=   6, ipnt= 169 (Z): anal=   0.05285011,  fd=   0.05296714,  err=  -0.00011703 (at    1.72576203    0.98730671    0.23102648)
...too many errors to list
    d(Face)/d(cambr) check complete with       37 total errors (errmax=  1.3191e-04)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  3.4928e-06)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  6.2252e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     17.038 sec

Sensitivity checks complete with     9176 tnotal errors (max config err=  4.4278e-03) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0g.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xle[1,1]"
*********************************************************

Generating perturbed configuration with delta-xle[1,1]=   0.90429400
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=   0: anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.43973794    0.00000000    0.15956196, dist=   0.00026419 (at    1.43965742    0.00000000    0.15931034)
iface=   1, ipnt=  19: anal=   0.90705394    0.00000000    0.22115919, ptrb=   0.90795823    0.00000000    0.22115919, dist=   0.00090429 (at    0.90705394    0.00000000    0.22115919)
iface=   4, ipnt=   0: anal=   0.90705394    0.00000000    0.22115919, ptrb=   0.90794722   -0.00000000    0.22106140, dist=   0.00089862 (at    0.90705394    0.00000000    0.22115919)
iface=   7, ipnt=   0: anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.44035692   -0.00000000    0.15758620, dist=   0.00090429 (at    1.43945262   -0.00000000    0.15758620)
iface=   7, ipnt=   1: anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.44055026    0.00000000    0.15921388, dist=   0.00089803 (at    1.43965742    0.00000000    0.15931034)
    d(Face)/d(xle) check complete with        5 total errors (errmax=  9.0429e-04)
iedge=   1, ipnt=   0: anal=   1.44053692   -0.00014750    0.15930306, ptrb=   1.44056171    0.00000000    0.15931034, dist=   0.00014974 (at    1.43965742    0.00000000    0.15931034)
iedge=   2, ipnt=  19: anal=   0.90794617   -0.00000000    0.22105547, ptrb=   0.90795823    0.00000000    0.22115919, dist=   0.00010442 (at    0.90705394    0.00000000    0.22115919)
iedge=   3, ipnt=   0: anal=   0.90763713   -0.00043111    0.22119669, ptrb=   0.90795823    0.00000000    0.22115919, dist=   0.00053886 (at    0.90705394    0.00000000    0.22115919)
iedge=  12, ipnt=   0: anal=   1.44033201   -0.00014780    0.15757853, ptrb=   1.44035692   -0.00000000    0.15758620, dist=   0.00015008 (at    1.43945262   -0.00000000    0.15758620)
iedge=  18, ipnt=   0: anal=   1.44034434   -0.00000000    0.15748028, ptrb=   1.44035692   -0.00000000    0.15758620, dist=   0.00010666 (at    1.43945262   -0.00000000    0.15758620)
    d(Edge)/d(xle) check complete with        5 total errors (errmax=  5.3886e-04)
inode=   1:            anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.44056171    0.00000000    0.15931034, dist=   0.00090429 (at    1.44056171    0.00000000    0.15931034)
inode=   3:            anal=   0.90705394    0.00000000    0.22115919, ptrb=   0.90795823    0.00000000    0.22115919, dist=   0.00090429 (at    0.90795823    0.00000000    0.22115919)
inode=   9:            anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.44035692   -0.00000000    0.15758620, dist=   0.00090429 (at    1.44035692   -0.00000000    0.15758620)
    d(Node)/d(xle) check complete with        3 total errors (errmax=  9.0429e-04)

*********************************************************
Starting tessellation sensitivity wrt "xle[2,1]"
*********************************************************

Generating perturbed configuration with delta-xle[2,1]=   1.22582000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=  83: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22662646    0.42741267    0.18397808, dist=   0.00098307 (at    1.22583903    0.42799900    0.18392708)
iface=   1, ipnt=  96: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51164339    0.42798355    0.18063397, dist=   0.00020302 (at    1.51160985    0.42799900    0.18043433)
iface=   2, ipnt=   0: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51165945    0.42799900    0.18063247, dist=   0.00020425 (at    1.51160985    0.42799900    0.18043433)
iface=   2, ipnt=  13: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22706365    0.42799900    0.18397063, dist=   0.00122540 (at    1.22583903    0.42799900    0.18392708)
iface=   4, ipnt=  49: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22662706    0.42741251    0.18395841, dist=   0.00098282 (at    1.22583903    0.42799900    0.18392708)
iface=   5, ipnt=   0: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22706485    0.42799900    0.18392708, dist=   0.00122582 (at    1.22583903    0.42799900    0.18392708)
iface=   7, ipnt=  17: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51279937    0.42779824    0.18038068, dist=   0.00120754 (at    1.51160985    0.42799900    0.18043433)
iface=   7, ipnt=  18: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51277282    0.42779790    0.17979318, dist=   0.00120825 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   0: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51280728    0.42799900    0.17980362, dist=   0.00122582 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   1: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51283551    0.42799900    0.18043068, dist=   0.00122566 (at    1.51160985    0.42799900    0.18043433)
    d(Face)/d(xle) check complete with       10 total errors (errmax=  1.2258e-03)
iedge=   5, ipnt=   0: anal=   1.51257873    0.42750168    0.18039404, ptrb=   1.51283567    0.42799900    0.18043433, dist=   0.00056122 (at    1.51160985    0.42799900    0.18043433)
iedge=   6, ipnt=   0: anal=   1.22661577    0.42740935    0.18389348, ptrb=   1.22706485    0.42799900    0.18392708, dist=   0.00074195 (at    1.22583903    0.42799900    0.18392708)
iedge=  14, ipnt=   0: anal=   1.51255032    0.42750170    0.17976301, ptrb=   1.51280728    0.42799900    0.17980362, dist=   0.00056124 (at    1.51158146    0.42799900    0.17980362)
    d(Edge)/d(xle) check complete with        3 total errors (errmax=  7.4195e-04)
inode=   2:            anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51283567    0.42799900    0.18043433, dist=   0.00122582 (at    1.51283567    0.42799900    0.18043433)
inode=   4:            anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22706485    0.42799900    0.18392708, dist=   0.00122582 (at    1.22706485    0.42799900    0.18392708)
inode=  10:            anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51280728    0.42799900    0.17980362, dist=   0.00122582 (at    1.51280728    0.42799900    0.17980362)
    d(Node)/d(xle) check complete with        3 total errors (errmax=  1.2258e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[3,1]"
*********************************************************

Generating perturbed configuration with delta-xle[3,1]=   1.51650400
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   2, ipnt=  77: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51751260    0.80899684    0.20573060, dist=   0.00119923 (at    1.51656273    0.80972700    0.20567799)
iface=   2, ipnt=  91: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70885983    0.80969709    0.21155815, dist=   0.00020194 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=   0: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70888146    0.80972700    0.21155975, dist=   0.00020529 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=  14: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51807050    0.80972700    0.20579345, dist=   0.00151218 (at    1.51656273    0.80972700    0.20567799)
iface=   5, ipnt=  30: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70883291    0.80972700    0.21083939, dist=   0.00013270 (at    1.70882374    0.80972700    0.21097177)
iface=   5, ipnt=  44: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51752095    0.80899776    0.20563644, dist=   0.00120487 (at    1.51656273    0.80972700    0.20567799)
iface=   6, ipnt=   0: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51807924    0.80972700    0.20567799, dist=   0.00151650 (at    1.51656273    0.80972700    0.20567799)
iface=   6, ipnt=  14: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70883519    0.80974162    0.21084123, dist=   0.00013186 (at    1.70882374    0.80972700    0.21097177)
iface=   8, ipnt=  17: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.71002706    0.80910747    0.21131004, dist=   0.00134606 (at    1.70883310    0.80972700    0.21136023)
iface=   8, ipnt=  18: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.71001818    0.80910744    0.21094294, dist=   0.00134587 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   0: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.71034025    0.80972700    0.21097177, dist=   0.00151650 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   1: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.71034961    0.80972700    0.21136023, dist=   0.00151650 (at    1.70883310    0.80972700    0.21136023)
    d(Face)/d(xle) check complete with       12 total errors (errmax=  1.5165e-03)
iedge=   8, ipnt=   0: anal=   1.71003630    0.80912041    0.21126527, ptrb=   1.71034961    0.80972700    0.21136023, dist=   0.00068929 (at    1.70883310    0.80972700    0.21136023)
iedge=   9, ipnt=   0: anal=   1.51753045    0.80900657    0.20556821, ptrb=   1.51807924    0.80972700    0.20567799, dist=   0.00091227 (at    1.51656273    0.80972700    0.20567799)
iedge=  15, ipnt=   0: anal=   1.51806183    0.80972700    0.20583951, ptrb=   1.51807924    0.80972700    0.20567799, dist=   0.00016245 (at    1.51656273    0.80972700    0.20567799)
iedge=  16, ipnt=   0: anal=   1.71002692    0.80912044    0.21087650, ptrb=   1.71034025    0.80972700    0.21097177, dist=   0.00068932 (at    1.70882374    0.80972700    0.21097177)
    d(Edge)/d(xle) check complete with        4 total errors (errmax=  9.1227e-04)
inode=   5:            anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.71034961    0.80972700    0.21136023, dist=   0.00151650 (at    1.71034961    0.80972700    0.21136023)
inode=   6:            anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51807924    0.80972700    0.20567799, dist=   0.00151650 (at    1.51807924    0.80972700    0.20567799)
inode=  11:            anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.71034025    0.80972700    0.21097177, dist=   0.00151650 (at    1.71034025    0.80972700    0.21097177)
    d(Node)/d(xle) check complete with        3 total errors (errmax=  1.5165e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[4,1]"
*********************************************************

Generating perturbed configuration with delta-xle[4,1]=   1.78073700
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   3, ipnt=  78: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78203180    1.15589709    0.25852744, dist=   0.00141181 (at    1.78090946    1.15675300    0.25855878)
iface=   6, ipnt=  31: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88812824    1.15675300    0.26517408, dist=   0.00030499 (at    1.88808620    1.15675300    0.26547615)
iface=   6, ipnt=  42: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78203671    1.15590086    0.25842893, dist=   0.00141905 (at    1.78090946    1.15675300    0.25855878)
iface=   9, ipnt=  17: anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88946987    1.15601744    0.26557484, dist=   0.00158305 (at    1.88807283    1.15675300    0.26569000)
iface=   9, ipnt=  18: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88947061    1.15601736    0.26556226, dist=   0.00157009 (at    1.88808620    1.15675300    0.26547615)
    d(Face)/d(xle) check complete with        5 total errors (errmax=  1.5830e-03)
iedge=  17, ipnt=   0: anal=   1.78268150    1.15675300    0.25868293, ptrb=   1.78269020    1.15675300    0.25855878, dist=   0.00012446 (at    1.78090946    1.15675300    0.25855878)
iedge=  21, ipnt=   1: anal=   1.88984663    1.15675300    0.26580091, ptrb=   1.88985356    1.15675300    0.26569000, dist=   0.00011113 (at    1.88807283    1.15675300    0.26569000)
    d(Edge)/d(xle) check complete with        2 total errors (errmax=  1.2446e-04)
inode=   7:            anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88985356    1.15675300    0.26569000, dist=   0.00178074 (at    1.88985356    1.15675300    0.26569000)
inode=   8:            anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78269020    1.15675300    0.25855878, dist=   0.00178074 (at    1.78269020    1.15675300    0.25855878)
inode=  12:            anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88986694    1.15675300    0.26547615, dist=   0.00178074 (at    1.88986694    1.15675300    0.26547615)
    d(Node)/d(xle) check complete with        3 total errors (errmax=  1.7807e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "yle[1,1]"
*********************************************************

Generating perturbed configuration with delta-yle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  9.8500e-07)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)

*********************************************************
Starting tessellation sensitivity wrt "yle[2,1]"
*********************************************************

Generating perturbed configuration with delta-yle[2,1]=   0.42799900
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=  83: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22563338    0.42815062    0.18395109, dist=   0.00025663 (at    1.22583903    0.42799900    0.18392708)
iface=   2, ipnt=   0: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160985    0.42842700    0.18043433, dist=   0.00042800 (at    1.51160985    0.42799900    0.18043433)
iface=   2, ipnt=  13: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42842700    0.18392708, dist=   0.00042800 (at    1.22583903    0.42799900    0.18392708)
iface=   4, ipnt=  49: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22563451    0.42815040    0.18391806, dist=   0.00025462 (at    1.22583903    0.42799900    0.18392708)
iface=   5, ipnt=   0: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42842700    0.18392708, dist=   0.00042800 (at    1.22583903    0.42799900    0.18392708)
iface=   5, ipnt=  13: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42842700    0.17980362, dist=   0.00042800 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   0: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42842700    0.17980362, dist=   0.00042800 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   1: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160985    0.42842700    0.18043433, dist=   0.00042800 (at    1.51160985    0.42799900    0.18043433)
    d(Face)/d(yle) check complete with        8 total errors (errmax=  4.2800e-04)
iedge=   5, ipnt=   0: anal=   1.51143621    0.42809092    0.18040710, ptrb=   1.51160985    0.42842700    0.18043433, dist=   0.00037927 (at    1.51160985    0.42799900    0.18043433)
iedge=   6, ipnt=   0: anal=   1.22563315    0.42815667    0.18391167, ptrb=   1.22583903    0.42842700    0.18392708, dist=   0.00034014 (at    1.22583903    0.42799900    0.18392708)
iedge=  14, ipnt=   0: anal=   1.51140783    0.42809096    0.17977618, ptrb=   1.51158146    0.42842700    0.17980362, dist=   0.00037924 (at    1.51158146    0.42799900    0.17980362)
    d(Edge)/d(yle) check complete with        3 total errors (errmax=  3.7927e-04)
inode=   2:            anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160985    0.42842700    0.18043433, dist=   0.00042800 (at    1.51160985    0.42842700    0.18043433)
inode=   4:            anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42842700    0.18392708, dist=   0.00042800 (at    1.22583903    0.42842700    0.18392708)
inode=  10:            anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42842700    0.17980362, dist=   0.00042800 (at    1.51158146    0.42842700    0.17980362)
    d(Node)/d(yle) check complete with        3 total errors (errmax=  4.2800e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[3,1]"
*********************************************************

Generating perturbed configuration with delta-yle[3,1]=   0.80972700
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   2, ipnt=  77: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51617330    0.81002430    0.20564886, dist=   0.00049081 (at    1.51656273    0.80972700    0.20567799)
iface=   2, ipnt=  91: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70842481    0.80974480    0.21129621, dist=   0.00041366 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=   0: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70883310    0.81053673    0.21136023, dist=   0.00080973 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=  14: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51656273    0.81053673    0.20567799, dist=   0.00080973 (at    1.51656273    0.80972700    0.20567799)
iface=   5, ipnt=  30: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70840678    0.80972805    0.21090588, dist=   0.00042214 (at    1.70882374    0.80972700    0.21097177)
iface=   5, ipnt=  44: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51617504    0.81002422    0.20563271, dist=   0.00049060 (at    1.51656273    0.80972700    0.20567799)
iface=   6, ipnt=   0: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51656273    0.81053673    0.20567799, dist=   0.00080973 (at    1.51656273    0.80972700    0.20567799)
iface=   6, ipnt=  14: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.81053673    0.21097177, dist=   0.00080973 (at    1.70882374    0.80972700    0.21097177)
iface=   8, ipnt=  17: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70850274    0.80989594    0.21130843, dist=   0.00037466 (at    1.70883310    0.80972700    0.21136023)
iface=   8, ipnt=  18: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70849481    0.80989596    0.21097971, dist=   0.00036988 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   0: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.81053673    0.21097177, dist=   0.00080973 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   1: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70883310    0.81053673    0.21136023, dist=   0.00080973 (at    1.70883310    0.80972700    0.21136023)
    d(Face)/d(yle) check complete with       12 total errors (errmax=  8.0973e-04)
iedge=   8, ipnt=   0: anal=   1.70850922    0.80990966    0.21126206, ptrb=   1.70883310    0.81053673    0.21136023, dist=   0.00071257 (at    1.70883310    0.80972700    0.21136023)
iedge=   9, ipnt=   0: anal=   1.51617806    0.81003175    0.20560104, ptrb=   1.51656273    0.81053673    0.20567799, dist=   0.00063945 (at    1.51656273    0.80972700    0.20567799)
iedge=  16, ipnt=   0: anal=   1.70849988    0.80990977    0.21087330, ptrb=   1.70882374    0.81053673    0.21097177, dist=   0.00071251 (at    1.70882374    0.80972700    0.21097177)
    d(Edge)/d(yle) check complete with        3 total errors (errmax=  7.1257e-04)
inode=   5:            anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70883310    0.81053673    0.21136023, dist=   0.00080973 (at    1.70883310    0.81053673    0.21136023)
inode=   6:            anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51656273    0.81053673    0.20567799, dist=   0.00080973 (at    1.51656273    0.81053673    0.20567799)
inode=  11:            anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.81053673    0.21097177, dist=   0.00080973 (at    1.70882374    0.81053673    0.21097177)
    d(Node)/d(yle) check complete with        3 total errors (errmax=  8.0973e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[4,1]"
*********************************************************

Generating perturbed configuration with delta-yle[4,1]=   1.15675300
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   3, ipnt=  78: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78034978    1.15717072    0.25860619, dist=   0.00069999 (at    1.78090946    1.15675300    0.25855878)
iface=   3, ipnt=  89: anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88749616    1.15678955    0.26551520, dist=   0.00060368 (at    1.88807283    1.15675300    0.26569000)
iface=   6, ipnt=  31: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88749319    1.15675795    0.26529585, dist=   0.00061983 (at    1.88808620    1.15675300    0.26547615)
iface=   6, ipnt=  42: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78035705    1.15718214    0.25844827, dist=   0.00070819 (at    1.78090946    1.15675300    0.25855878)
iface=   9, ipnt=  17: anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88760544    1.15700184    0.26554833, dist=   0.00054812 (at    1.88807283    1.15675300    0.26569000)
iface=   9, ipnt=  18: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88761177    1.15700185    0.26544668, dist=   0.00053655 (at    1.88808620    1.15675300    0.26547615)
iface=  11, ipnt=   0: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78090946    1.15790975    0.25855878, dist=   0.00115675 (at    1.78090946    1.15675300    0.25855878)
iface=  11, ipnt=  11: anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88807283    1.15790975    0.26569000, dist=   0.00115675 (at    1.88807283    1.15675300    0.26569000)
iface=  11, ipnt=  12: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88808620    1.15790975    0.26547615, dist=   0.00115675 (at    1.88808620    1.15675300    0.26547615)
    d(Face)/d(yle) check complete with        9 total errors (errmax=  1.1568e-03)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.4722e-06)
inode=   7:            anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88807283    1.15790975    0.26569000, dist=   0.00115675 (at    1.88807283    1.15790975    0.26569000)
inode=   8:            anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78090946    1.15790975    0.25855878, dist=   0.00115675 (at    1.78090946    1.15790975    0.25855878)
inode=  12:            anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88808620    1.15790975    0.26547615, dist=   0.00115675 (at    1.88808620    1.15790975    0.26547615)
    d(Node)/d(yle) check complete with        3 total errors (errmax=  1.1568e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "zle[1,1]"
*********************************************************

Generating perturbed configuration with delta-zle[1,1]=   0.17412600
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=   0: anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.43965742    0.00000000    0.15948447, dist=   0.00017413 (at    1.43965742    0.00000000    0.15931034)
iface=   1, ipnt=  19: anal=   0.90705394    0.00000000    0.22115919, ptrb=   0.90706111    0.00000963    0.22133247, dist=   0.00017370 (at    0.90705394    0.00000000    0.22115919)
iface=   4, ipnt=  19: anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.43944341   -0.00000000    0.15775977, dist=   0.00017382 (at    1.43945262   -0.00000000    0.15758620)
iface=   7, ipnt=   0: anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.43945262   -0.00000000    0.15776033, dist=   0.00017413 (at    1.43945262   -0.00000000    0.15758620)
    d(Face)/d(zle) check complete with        4 total errors (errmax=  1.7413e-04)
iedge=   2, ipnt=  19: anal=   0.90703396   -0.00000000    0.22116151, ptrb=   0.90705394    0.00000000    0.22133331, dist=   0.00017296 (at    0.90705394    0.00000000    0.22115919)
iedge=  18, ipnt=   0: anal=   1.43943223   -0.00000000    0.15758862, ptrb=   1.43945262   -0.00000000    0.15776033, dist=   0.00017291 (at    1.43945262   -0.00000000    0.15758620)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  1.7296e-04)
inode=   1:            anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.43965742    0.00000000    0.15948447, dist=   0.00017413 (at    1.43965742    0.00000000    0.15948447)
inode=   3:            anal=   0.90705394    0.00000000    0.22115919, ptrb=   0.90705394    0.00000000    0.22133331, dist=   0.00017413 (at    0.90705394    0.00000000    0.22133331)
inode=   9:            anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.43945262   -0.00000000    0.15776033, dist=   0.00017413 (at    1.43945262   -0.00000000    0.15776033)
    d(Node)/d(zle) check complete with        3 total errors (errmax=  1.7413e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[2,1]"
*********************************************************

Generating perturbed configuration with delta-zle[2,1]=   0.18107100
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=  83: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42799900    0.18410815, dist=   0.00018107 (at    1.22583903    0.42799900    0.18392708)
iface=   1, ipnt=  96: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160755    0.42798532    0.18061472, dist=   0.00018092 (at    1.51160985    0.42799900    0.18043433)
iface=   2, ipnt=   0: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160985    0.42799900    0.18061540, dist=   0.00018107 (at    1.51160985    0.42799900    0.18043433)
iface=   2, ipnt=  13: anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42799900    0.18410815, dist=   0.00018107 (at    1.22583903    0.42799900    0.18392708)
iface=   4, ipnt=  36: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51156754    0.42799194    0.17998333, dist=   0.00018039 (at    1.51158146    0.42799900    0.17980362)
iface=   5, ipnt=  13: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51157136    0.42799900    0.17998391, dist=   0.00018057 (at    1.51158146    0.42799900    0.17980362)
iface=   7, ipnt=  18: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42799900    0.17998469, dist=   0.00018107 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   0: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42799900    0.17998469, dist=   0.00018107 (at    1.51158146    0.42799900    0.17980362)
    d(Face)/d(zle) check complete with        8 total errors (errmax=  1.8107e-04)
iedge=   4, ipnt=  13: anal=   1.22584520    0.42799900    0.18392729, ptrb=   1.22583903    0.42799900    0.18410815, dist=   0.00018097 (at    1.22583903    0.42799900    0.18392708)
iedge=  19, ipnt=   0: anal=   1.51157333    0.42799900    0.17980399, ptrb=   1.51158146    0.42799900    0.17998469, dist=   0.00018089 (at    1.51158146    0.42799900    0.17980362)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  1.8097e-04)
inode=   2:            anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51160985    0.42799900    0.18061540, dist=   0.00018107 (at    1.51160985    0.42799900    0.18061540)
inode=   4:            anal=   1.22583903    0.42799900    0.18392708, ptrb=   1.22583903    0.42799900    0.18410815, dist=   0.00018107 (at    1.22583903    0.42799900    0.18410815)
inode=  10:            anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51158146    0.42799900    0.17998469, dist=   0.00018107 (at    1.51158146    0.42799900    0.17998469)
    d(Node)/d(zle) check complete with        3 total errors (errmax=  1.8107e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[3,1]"
*********************************************************

Generating perturbed configuration with delta-zle[3,1]=   0.20979400
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   2, ipnt=  77: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51655448    0.80971616    0.20588716, dist=   0.00020961 (at    1.51656273    0.80972700    0.20567799)
iface=   2, ipnt=  91: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70882518    0.80971168    0.21156878, dist=   0.00020926 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=   0: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70883310    0.80972700    0.21157003, dist=   0.00020979 (at    1.70883310    0.80972700    0.21136023)
iface=   3, ipnt=  14: anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51656273    0.80972700    0.20588779, dist=   0.00020979 (at    1.51656273    0.80972700    0.20567799)
iface=   5, ipnt=  30: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70880545    0.80971936    0.21117968, dist=   0.00020885 (at    1.70882374    0.80972700    0.21097177)
iface=   6, ipnt=  14: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70881744    0.80972700    0.21118101, dist=   0.00020933 (at    1.70882374    0.80972700    0.21097177)
iface=   8, ipnt=  18: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.80972700    0.21118157, dist=   0.00020979 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   0: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.80972700    0.21118157, dist=   0.00020979 (at    1.70882374    0.80972700    0.21097177)
    d(Face)/d(zle) check complete with        8 total errors (errmax=  2.0979e-04)
iedge=   7, ipnt=  14: anal=   1.51658508    0.80972700    0.20568040, ptrb=   1.51656273    0.80972700    0.20588779, dist=   0.00020859 (at    1.51656273    0.80972700    0.20567799)
iedge=  20, ipnt=   0: anal=   1.70881869    0.80972700    0.21097189, ptrb=   1.70882374    0.80972700    0.21118157, dist=   0.00020973 (at    1.70882374    0.80972700    0.21097177)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  2.0973e-04)
inode=   5:            anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70883310    0.80972700    0.21157003, dist=   0.00020979 (at    1.70883310    0.80972700    0.21157003)
inode=   6:            anal=   1.51656273    0.80972700    0.20567799, ptrb=   1.51656273    0.80972700    0.20588779, dist=   0.00020979 (at    1.51656273    0.80972700    0.20588779)
inode=  11:            anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70882374    0.80972700    0.21118157, dist=   0.00020979 (at    1.70882374    0.80972700    0.21118157)
    d(Node)/d(zle) check complete with        3 total errors (errmax=  2.0979e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[4,1]"
*********************************************************

Generating perturbed configuration with delta-zle[4,1]=   0.26382700
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   3, ipnt=  78: anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78090244    1.15674378    0.25882119, dist=   0.00026267 (at    1.78090946    1.15675300    0.25855878)
iface=   3, ipnt=  89: anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88804885    1.15670657    0.26594652, dist=   0.00026179 (at    1.88807283    1.15675300    0.26569000)
iface=   6, ipnt=  31: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88804165    1.15673579    0.26573103, dist=   0.00025931 (at    1.88808620    1.15675300    0.26547615)
iface=   9, ipnt=  18: anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88808263    1.15674609    0.26573889, dist=   0.00026285 (at    1.88808620    1.15675300    0.26547615)
    d(Face)/d(zle) check complete with        4 total errors (errmax=  2.6285e-04)
iedge=  10, ipnt=  11: anal=   1.78092786    1.15675300    0.25856007, ptrb=   1.78090946    1.15675300    0.25882260, dist=   0.00026318 (at    1.78090946    1.15675300    0.25855878)
iedge=  21, ipnt=   0: anal=   1.88810263    1.15675300    0.26547718, ptrb=   1.88808620    1.15675300    0.26573998, dist=   0.00026331 (at    1.88808620    1.15675300    0.26547615)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  2.6331e-04)
inode=   7:            anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88807283    1.15675300    0.26595382, dist=   0.00026383 (at    1.88807283    1.15675300    0.26595382)
inode=   8:            anal=   1.78090946    1.15675300    0.25855878, ptrb=   1.78090946    1.15675300    0.25882260, dist=   0.00026383 (at    1.78090946    1.15675300    0.25882260)
inode=  12:            anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88808620    1.15675300    0.26573998, dist=   0.00026383 (at    1.88808620    1.15675300    0.26573998)
    d(Node)/d(zle) check complete with        3 total errors (errmax=  2.6383e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "twist[1,1]"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00671660
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.7141e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.7141e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  4.7141e-05)

*********************************************************
Starting tessellation sensitivity wrt "twist[2,1]"
*********************************************************

Generating perturbed configuration with delta-twist[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.7409e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.7367e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.7409e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[3,1]"
*********************************************************

Generating perturbed configuration with delta-twist[3,1]=   0.00163500
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.1166e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1038e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  4.1166e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[4,1]"
*********************************************************

Generating perturbed configuration with delta-twist[4,1]=   0.00375000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  5.2708e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  5.2719e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  5.2720e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "chord[1,1]"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.53618100
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   1, ipnt=   0: anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.43970082    0.00000000    0.15944582, dist=   0.00014227 (at    1.43965742    0.00000000    0.15931034)
iface=   7, ipnt=   0: anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.43998778   -0.00000000    0.15756966, dist=   0.00053541 (at    1.43945262   -0.00000000    0.15758620)
iface=   7, ipnt=   1: anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.44018774    0.00000000    0.15925310, dist=   0.00053340 (at    1.43965742    0.00000000    0.15931034)
    d(Face)/d(chord) check complete with        3 total errors (errmax=  5.3541e-04)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  8.7972e-05)
inode=   1:            anal=   1.43965742    0.00000000    0.15931034, ptrb=   1.44019278    0.00000000    0.15929553, dist=   0.00053557 (at    1.44019278    0.00000000    0.15929553)
inode=   9:            anal=   1.43945262   -0.00000000    0.15758620, ptrb=   1.43998778   -0.00000000    0.15756966, dist=   0.00053541 (at    1.43998778   -0.00000000    0.15756966)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  5.3557e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[2,1]"
*********************************************************

Generating perturbed configuration with delta-chord[2,1]=   0.28578200
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   7, ipnt=  17: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51188741    0.42795277    0.18042183, dist=   0.00028166 (at    1.51160985    0.42799900    0.18043433)
iface=   7, ipnt=  18: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51185939    0.42795269    0.17979995, dist=   0.00028178 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   0: anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51186722    0.42799900    0.17980235, dist=   0.00028576 (at    1.51158146    0.42799900    0.17980362)
iface=   8, ipnt=   1: anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51189563    0.42799900    0.18043353, dist=   0.00028578 (at    1.51160985    0.42799900    0.18043433)
    d(Face)/d(chord) check complete with        4 total errors (errmax=  2.8578e-04)
iedge=   5, ipnt=   0: anal=   1.51183576    0.42788310    0.18042430, ptrb=   1.51189564    0.42799900    0.18043369, dist=   0.00013080 (at    1.51160985    0.42799900    0.18043433)
iedge=  14, ipnt=   0: anal=   1.51180736    0.42788315    0.17979289, ptrb=   1.51186722    0.42799900    0.17980235, dist=   0.00013074 (at    1.51158146    0.42799900    0.17980362)
    d(Edge)/d(chord) check complete with        2 total errors (errmax=  1.3080e-04)
inode=   2:            anal=   1.51160985    0.42799900    0.18043433, ptrb=   1.51189564    0.42799900    0.18043369, dist=   0.00028579 (at    1.51189564    0.42799900    0.18043369)
inode=  10:            anal=   1.51158146    0.42799900    0.17980362, ptrb=   1.51186722    0.42799900    0.17980235, dist=   0.00028576 (at    1.51186722    0.42799900    0.17980235)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  2.8579e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[3,1]"
*********************************************************

Generating perturbed configuration with delta-chord[3,1]=   0.19234400
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
iface=   8, ipnt=  17: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70898496    0.80964875    0.21135546, dist=   0.00017090 (at    1.70883310    0.80972700    0.21136023)
iface=   8, ipnt=  18: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70897563    0.80964874    0.21096811, dist=   0.00017090 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   0: anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70901606    0.80972700    0.21097295, dist=   0.00019232 (at    1.70882374    0.80972700    0.21097177)
iface=   9, ipnt=   1: anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70902543    0.80972700    0.21136180, dist=   0.00019234 (at    1.70883310    0.80972700    0.21136023)
    d(Face)/d(chord) check complete with        4 total errors (errmax=  1.9234e-04)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  8.7635e-05)
inode=   5:            anal=   1.70883310    0.80972700    0.21136023, ptrb=   1.70902543    0.80972700    0.21136180, dist=   0.00019234 (at    1.70902543    0.80972700    0.21136180)
inode=  11:            anal=   1.70882374    0.80972700    0.21097177, ptrb=   1.70901606    0.80972700    0.21097295, dist=   0.00019232 (at    1.70901606    0.80972700    0.21097295)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  1.9234e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[4,1]"
*********************************************************

Generating perturbed configuration with delta-chord[4,1]=   0.10740000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(chord) check complete with        0 total errors (errmax=  9.5489e-05)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  5.2674e-06)
inode=   7:            anal=   1.88807283    1.15675300    0.26569000, ptrb=   1.88818016    1.15675300    0.26569186, dist=   0.00010735 (at    1.88818016    1.15675300    0.26569186)
inode=  12:            anal=   1.88808620    1.15675300    0.26547615, ptrb=   1.88819355    1.15675300    0.26547780, dist=   0.00010736 (at    1.88819355    1.15675300    0.26547780)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  1.0736e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "thick[1,1]"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(thick) check complete with        0 total errors (errmax=  5.6299e-06)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  9.9859e-07)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  5.6299e-06)

*********************************************************
Starting tessellation sensitivity wrt "thick[2,1]"
*********************************************************

Generating perturbed configuration with delta-thick[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(thick) check complete with        0 total errors (errmax=  4.9025e-06)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  3.6609e-07)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  3.0007e-06)

*********************************************************
Starting tessellation sensitivity wrt "thick[3,1]"
*********************************************************

Generating perturbed configuration with delta-thick[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(thick) check complete with        0 total errors (errmax=  2.0196e-06)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  3.0027e-07)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.0196e-06)

*********************************************************
Starting tessellation sensitivity wrt "thick[4,1]"
*********************************************************

Generating perturbed configuration with delta-thick[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(thick) check complete with        0 total errors (errmax=  1.1277e-06)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.2445e-07)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.1277e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "cambr[1,1]"
*********************************************************

Generating perturbed configuration with delta-cambr[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(cambr) check complete with        0 total errors (errmax=  2.8937e-06)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  2.8470e-06)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  2.8937e-06)

*********************************************************
Starting tessellation sensitivity wrt "cambr[2,1]"
*********************************************************

Generating perturbed configuration with delta-cambr[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(cambr) check complete with        0 total errors (errmax=  1.1250e-06)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  1.0430e-06)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  1.0511e-06)

*********************************************************
Starting tessellation sensitivity wrt "cambr[3,1]"
*********************************************************

Generating perturbed configuration with delta-cambr[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(cambr) check complete with        0 total errors (errmax=  6.4572e-07)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  6.4156e-07)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  6.4572e-07)

*********************************************************
Starting tessellation sensitivity wrt "cambr[4,1]"
*********************************************************

Generating perturbed configuration with delta-cambr[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(cambr) check complete with        0 total errors (errmax=  3.5710e-07)
    d(Edge)/d(cambr) check complete with        0 total errors (errmax=  3.5485e-07)
    d(Node)/d(cambr) check complete with        0 total errors (errmax=  3.5710e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->     17.927 sec

Sensitivity checks complete with      167 total errors (max tessel err=  1.7807e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0h.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rx" for ibody=1
    d(Face)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  2.3907e-10)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "rx" for ibody=2
    d(Face)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "rx" for ibody=3
    d(Face)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  2.4392e-10)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ry" for ibody=1
    d(Face)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  3.8353e-10)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "ry" for ibody=2
    d(Face)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  3.9702e-10)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  9.7547e-26)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "ry" for ibody=3
    d(Face)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "rz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rz" for ibody=1
    d(Face)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "rz" for ibody=2
    d(Face)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rz) check complete with        0 total errors (errmax=  4.7318e-10)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "rz" for ibody=3
    d(Face)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(rz) check complete with        0 total errors (errmax=  3.2062e-10)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  1.3257e-27)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.023 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.7318e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0h.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "rx"
*********************************************************

Generating perturbed configuration with delta-rx[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rx) check complete with        0 total errors (errmax=  3.6776e-16)
iedge=   1, ipnt=   2: anal=   0.29263548   -2.94235584    0.00000000, ptrb=   0.29267535   -2.94245625    0.00000000, dist=   0.00010804 (at    0.29263548   -2.94235584    0.00000000)
iedge=   1, ipnt=   3: anal=   0.43542702   -2.87082101    0.00000000, ptrb=   0.43554389   -2.87101400    0.00000000, dist=   0.00022562 (at    0.43542702   -2.87082101    0.00000000)
iedge=   1, ipnt=   4: anal=   0.57402515   -2.77163860    0.00000000, ptrb=   0.57425835   -2.77192057    0.00000000, dist=   0.00036591 (at    0.57402515   -2.77163860    0.00000000)
iedge=   1, ipnt=   5: anal=   0.64133264   -2.71196788    0.00000000, ptrb=   0.64163503   -2.71228808    0.00000000, dist=   0.00044041 (at    0.64133264   -2.71196788    0.00000000)
iedge=   1, ipnt=   6: anal=   0.70709511   -2.64576379    0.00000000, ptrb=   0.70747170   -2.64611664    0.00000000, dist=   0.00051607 (at    0.70709511   -2.64576379    0.00000000)
iedge=   1, ipnt=   7: anal=   0.77115412   -2.57318583    0.00000000, ptrb=   0.77160831   -2.57356531    0.00000000, dist=   0.00059185 (at    0.77115412   -2.57318583    0.00000000)
iedge=   1, ipnt=   8: anal=   0.83335535   -2.49440884    0.00000000, ptrb=   0.83388903   -2.49480880    0.00000000, dist=   0.00066693 (at    0.83335535   -2.49440884    0.00000000)
iedge=   1, ipnt=   9: anal=   0.89354896   -2.40962259    0.00000000, ptrb=   0.89416276   -2.41003702    0.00000000, dist=   0.00074061 (at    0.89354896   -2.40962259    0.00000000)
iedge=   1, ipnt=  10: anal=   0.95158993   -2.31903136    0.00000000, ptrb=   0.95228341   -2.31945448    0.00000000, dist=   0.00081238 (at    0.95158993   -2.31903136    0.00000000)
iedge=   1, ipnt=  11: anal=   1.00733843   -2.22285338    0.00000000, ptrb=   1.00811026   -2.22327977    0.00000000, dist=   0.00088178 (at    1.00733843   -2.22285338    0.00000000)
...too many errors to list
iedge=   2, ipnt=   2: anal=  -0.29263548    2.94235584    0.00000000, ptrb=  -0.29267535    2.94245625    0.00000000, dist=   0.00010804 (at   -0.29263548    2.94235584    0.00000000)
iedge=   2, ipnt=   3: anal=  -0.43542702    2.87082101    0.00000000, ptrb=  -0.43554389    2.87101400    0.00000000, dist=   0.00022562 (at   -0.43542702    2.87082101    0.00000000)
iedge=   2, ipnt=   4: anal=  -0.57402515    2.77163860    0.00000000, ptrb=  -0.57425835    2.77192057    0.00000000, dist=   0.00036591 (at   -0.57402515    2.77163860    0.00000000)
iedge=   2, ipnt=   5: anal=  -0.64133264    2.71196788    0.00000000, ptrb=  -0.64163503    2.71228808    0.00000000, dist=   0.00044041 (at   -0.64133264    2.71196788    0.00000000)
iedge=   2, ipnt=   6: anal=  -0.70709511    2.64576379    0.00000000, ptrb=  -0.70747170    2.64611664    0.00000000, dist=   0.00051607 (at   -0.70709511    2.64576379    0.00000000)
iedge=   2, ipnt=   7: anal=  -0.77115412    2.57318583    0.00000000, ptrb=  -0.77160831    2.57356531    0.00000000, dist=   0.00059185 (at   -0.77115412    2.57318583    0.00000000)
iedge=   2, ipnt=   8: anal=  -0.83335535    2.49440884    0.00000000, ptrb=  -0.83388903    2.49480880    0.00000000, dist=   0.00066693 (at   -0.83335535    2.49440884    0.00000000)
iedge=   2, ipnt=   9: anal=  -0.89354896    2.40962259    0.00000000, ptrb=  -0.89416276    2.41003702    0.00000000, dist=   0.00074061 (at   -0.89354896    2.40962259    0.00000000)
iedge=   2, ipnt=  10: anal=  -0.95158993    2.31903136    0.00000000, ptrb=  -0.95228341    2.31945448    0.00000000, dist=   0.00081238 (at   -0.95158993    2.31903136    0.00000000)
iedge=   2, ipnt=  11: anal=  -1.00733843    2.22285338    0.00000000, ptrb=  -1.00811026    2.22327977    0.00000000, dist=   0.00088178 (at   -1.00733843    2.22285338    0.00000000)
...too many errors to list
    d(Edge)/d(rx) check complete with      106 total errors (errmax=  1.5000e-03)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  4.9304e-32)
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(rx) check complete with        0 total errors (errmax=  7.3479e-16)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  1.5000e-03)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  4.9304e-32)
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(rx) check complete with        0 total errors (errmax=  7.3479e-16)
iedge=   1, ipnt=   0: anal=  -1.50000000    0.00000000   -0.00000000, ptrb=  -1.50150000    0.00000000   -0.00000000, dist=   0.00150000 (at   -1.50000000    0.00000000   -0.00000000)
iedge=   1, ipnt=   1: anal=  -1.49819318    0.00000000    0.24533837, ptrb=  -1.49969105    0.00000000    0.24536047, dist=   0.00149803 (at   -1.49819318    0.00000000    0.24533837)
iedge=   1, ipnt=   2: anal=  -1.49277709    0.00000000    0.49008570, ptrb=  -1.49426856    0.00000000    0.49012982, dist=   0.00149212 (at   -1.49277709    0.00000000    0.49008570)
iedge=   1, ipnt=   3: anal=  -1.48376476    0.00000000    0.73365237, ptrb=  -1.48524559    0.00000000    0.73371834, dist=   0.00148229 (at   -1.48376476    0.00000000    0.73365237)
iedge=   1, ipnt=   4: anal=  -1.47117792    0.00000000    0.97545161, ptrb=  -1.47264387    0.00000000    0.97553918, dist=   0.00146856 (at   -1.47117792    0.00000000    0.97545161)
iedge=   1, ipnt=   5: anal=  -1.45504688    0.00000000    1.21490090, ptrb=  -1.45649374    0.00000000    1.21500974, dist=   0.00145095 (at   -1.45504688    0.00000000    1.21490090)
iedge=   1, ipnt=   6: anal=  -1.43541050    0.00000000    1.45142339, ptrb=  -1.43683410    0.00000000    1.45155308, dist=   0.00142949 (at   -1.43541050    0.00000000    1.45142339)
iedge=   1, ipnt=   7: anal=  -1.41231610    0.00000000    1.68444927, ptrb=  -1.41371229    0.00000000    1.68459930, dist=   0.00140423 (at   -1.41231610    0.00000000    1.68444927)
iedge=   1, ipnt=   8: anal=  -1.38581930    0.00000000    1.91341716, ptrb=  -1.38718400    0.00000000    1.91358693, dist=   0.00137522 (at   -1.38581930    0.00000000    1.91341716)
iedge=   1, ipnt=   9: anal=  -1.35598394    0.00000000    2.13777547, ptrb=  -1.35731311    0.00000000    2.13796427, dist=   0.00134251 (at   -1.35598394    0.00000000    2.13777547)
...too many errors to list
iedge=   2, ipnt=   0: anal=   1.50000000    0.00000000    0.00000000, ptrb=   1.50150000    0.00000000    0.00000000, dist=   0.00150000 (at    1.50000000    0.00000000    0.00000000)
iedge=   2, ipnt=   1: anal=   1.49819318    0.00000000   -0.24533837, ptrb=   1.49969105    0.00000000   -0.24536047, dist=   0.00149803 (at    1.49819318    0.00000000   -0.24533837)
iedge=   2, ipnt=   2: anal=   1.49277709    0.00000000   -0.49008570, ptrb=   1.49426856    0.00000000   -0.49012982, dist=   0.00149212 (at    1.49277709    0.00000000   -0.49008570)
iedge=   2, ipnt=   3: anal=   1.48376476    0.00000000   -0.73365237, ptrb=   1.48524559    0.00000000   -0.73371834, dist=   0.00148229 (at    1.48376476    0.00000000   -0.73365237)
iedge=   2, ipnt=   4: anal=   1.47117792    0.00000000   -0.97545161, ptrb=   1.47264387    0.00000000   -0.97553918, dist=   0.00146856 (at    1.47117792    0.00000000   -0.97545161)
iedge=   2, ipnt=   5: anal=   1.45504688    0.00000000   -1.21490090, ptrb=   1.45649374    0.00000000   -1.21500974, dist=   0.00145095 (at    1.45504688    0.00000000   -1.21490090)
iedge=   2, ipnt=   6: anal=   1.43541050    0.00000000   -1.45142339, ptrb=   1.43683410    0.00000000   -1.45155308, dist=   0.00142949 (at    1.43541050    0.00000000   -1.45142339)
iedge=   2, ipnt=   7: anal=   1.41231610    0.00000000   -1.68444927, ptrb=   1.41371229    0.00000000   -1.68459930, dist=   0.00140423 (at    1.41231610    0.00000000   -1.68444927)
iedge=   2, ipnt=   8: anal=   1.38581930    0.00000000   -1.91341716, ptrb=   1.38718400    0.00000000   -1.91358693, dist=   0.00137522 (at    1.38581930    0.00000000   -1.91341716)
iedge=   2, ipnt=   9: anal=   1.35598394    0.00000000   -2.13777547, ptrb=   1.35731311    0.00000000   -2.13796427, dist=   0.00134251 (at    1.35598394    0.00000000   -2.13777547)
...too many errors to list
    d(Edge)/d(rx) check complete with      100 total errors (errmax=  1.5000e-03)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  4.9304e-32)
 

*********************************************************
Starting tessellation sensitivity wrt "ry"
*********************************************************

Generating perturbed configuration with delta-ry[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ry) check complete with        0 total errors (errmax=  5.5109e-19)
iedge=   1, ipnt=   0: anal=  -0.00000000   -3.00000000    0.00000000, ptrb=  -0.00000000   -3.00300000    0.00000000, dist=   0.00300000 (at   -0.00000000   -3.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   0.14702571   -2.98555418    0.00000000, ptrb=   0.14759446   -2.98842737    0.00000000, dist=   0.00292894 (at    0.14702571   -2.98555418    0.00000000)
iedge=   1, ipnt=   2: anal=   0.29263548   -2.94235584    0.00000000, ptrb=   0.29364971   -2.94489358    0.00000000, dist=   0.00273291 (at    0.29263548   -2.94235584    0.00000000)
iedge=   1, ipnt=   3: anal=   0.43542702   -2.87082101    0.00000000, ptrb=   0.43670314   -2.87291560    0.00000000, dist=   0.00245271 (at    0.43542702   -2.87082101    0.00000000)
iedge=   1, ipnt=   4: anal=   0.57402515   -2.77163860    0.00000000, ptrb=   0.57538850   -2.77327810    0.00000000, dist=   0.00213229 (at    0.57402515   -2.77163860    0.00000000)
iedge=   1, ipnt=   5: anal=   0.64133264   -2.71196788    0.00000000, ptrb=   0.64268762   -2.71339519    0.00000000, dist=   0.00196804 (at    0.64133264   -2.71196788    0.00000000)
iedge=   1, ipnt=   6: anal=   0.70709511   -2.64576379    0.00000000, ptrb=   0.70841559   -2.64699482    0.00000000, dist=   0.00180530 (at    0.70709511   -2.64576379    0.00000000)
iedge=   1, ipnt=   7: anal=   0.77115412   -2.57318583    0.00000000, ptrb=   0.77241995   -2.57423838    0.00000000, dist=   0.00164627 (at    0.77115412   -2.57318583    0.00000000)
iedge=   1, ipnt=   8: anal=   0.83335535   -2.49440884    0.00000000, ptrb=   0.83455166   -2.49530129    0.00000000, dist=   0.00149252 (at    0.83335535   -2.49440884    0.00000000)
iedge=   1, ipnt=   9: anal=   0.89354896   -2.40962259    0.00000000, ptrb=   0.89466534   -2.41037302    0.00000000, dist=   0.00134516 (at    0.89354896   -2.40962259    0.00000000)
...too many errors to list
iedge=   2, ipnt=   0: anal=   0.00000000    3.00000000    0.00000000, ptrb=   0.00000000    3.00300000    0.00000000, dist=   0.00300000 (at    0.00000000    3.00000000    0.00000000)
iedge=   2, ipnt=   1: anal=  -0.14702571    2.98555418    0.00000000, ptrb=  -0.14759446    2.98842737    0.00000000, dist=   0.00292894 (at   -0.14702571    2.98555418    0.00000000)
iedge=   2, ipnt=   2: anal=  -0.29263548    2.94235584    0.00000000, ptrb=  -0.29364971    2.94489358    0.00000000, dist=   0.00273291 (at   -0.29263548    2.94235584    0.00000000)
iedge=   2, ipnt=   3: anal=  -0.43542702    2.87082101    0.00000000, ptrb=  -0.43670314    2.87291560    0.00000000, dist=   0.00245271 (at   -0.43542702    2.87082101    0.00000000)
iedge=   2, ipnt=   4: anal=  -0.57402515    2.77163860    0.00000000, ptrb=  -0.57538850    2.77327810    0.00000000, dist=   0.00213229 (at   -0.57402515    2.77163860    0.00000000)
iedge=   2, ipnt=   5: anal=  -0.64133264    2.71196788    0.00000000, ptrb=  -0.64268762    2.71339519    0.00000000, dist=   0.00196804 (at   -0.64133264    2.71196788    0.00000000)
iedge=   2, ipnt=   6: anal=  -0.70709511    2.64576379    0.00000000, ptrb=  -0.70841559    2.64699482    0.00000000, dist=   0.00180530 (at   -0.70709511    2.64576379    0.00000000)
iedge=   2, ipnt=   7: anal=  -0.77115412    2.57318583    0.00000000, ptrb=  -0.77241995    2.57423838    0.00000000, dist=   0.00164627 (at   -0.77115412    2.57318583    0.00000000)
iedge=   2, ipnt=   8: anal=  -0.83335535    2.49440884    0.00000000, ptrb=  -0.83455166    2.49530129    0.00000000, dist=   0.00149252 (at   -0.83335535    2.49440884    0.00000000)
iedge=   2, ipnt=   9: anal=  -0.89354896    2.40962259    0.00000000, ptrb=  -0.89466534    2.41037302    0.00000000, dist=   0.00134516 (at   -0.89354896    2.40962259    0.00000000)
...too many errors to list
    d(Edge)/d(ry) check complete with       92 total errors (errmax=  3.0000e-03)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(ry) check complete with        0 total errors (errmax=  7.3552e-16)
iedge=   1, ipnt=   2: anal=   0.00000000    0.58527097   -4.90392640, ptrb=   0.00000000    0.58532874   -4.90410102, dist=   0.00018393 (at    0.00000000    0.58527097   -4.90392640)
iedge=   1, ipnt=   3: anal=   0.00000000    0.87085403   -4.78470168, ptrb=   0.00000000    0.87103085   -4.78505207, dist=   0.00039247 (at    0.00000000    0.87085403   -4.78470168)
iedge=   1, ipnt=   4: anal=   0.00000000    1.01066956   -4.70772033, ptrb=   0.00000000    1.01093406   -4.70816467, dist=   0.00051711 (at    0.00000000    1.01066956   -4.70772033)
iedge=   1, ipnt=   5: anal=   0.00000000    1.14805030   -4.61939766, ptrb=   0.00000000    1.14842005   -4.61993422, dist=   0.00065162 (at    0.00000000    1.14805030   -4.61939766)
iedge=   1, ipnt=   6: anal=   0.00000000    1.28266528   -4.51994647, ptrb=   0.00000000    1.28315590   -4.52056996, dist=   0.00079338 (at    0.00000000    1.28266528   -4.51994647)
iedge=   1, ipnt=   7: anal=   0.00000000    1.41419021   -4.40960632, ptrb=   0.00000000    1.41481487   -4.41030872, dist=   0.00093998 (at    0.00000000    1.41419021   -4.40960632)
iedge=   1, ipnt=   8: anal=   0.00000000    1.54230823   -4.28864305, ptrb=   0.00000000    1.54307742   -4.28941433, dist=   0.00108928 (at    0.00000000    1.54230823   -4.28864305)
iedge=   1, ipnt=   9: anal=   0.00000000    1.66671070   -4.15734806, ptrb=   0.00000000    1.66763218   -4.15817688, dist=   0.00123938 (at    0.00000000    1.66671070   -4.15734806)
iedge=   1, ipnt=  10: anal=   0.00000000    1.78709791   -4.01603766, ptrb=   0.00000000    1.78817682   -4.01691190, dist=   0.00138865 (at    0.00000000    1.78709791   -4.01603766)
iedge=   1, ipnt=  11: anal=   0.00000000    1.90317985   -3.86505227, ptrb=   0.00000000    1.90441886   -3.86595954, dist=   0.00153568 (at    0.00000000    1.90317985   -3.86505227)
...too many errors to list
iedge=   2, ipnt=   2: anal=   0.00000000   -0.58527097    4.90392640, ptrb=   0.00000000   -0.58532874    4.90410102, dist=   0.00018393 (at    0.00000000   -0.58527097    4.90392640)
iedge=   2, ipnt=   3: anal=   0.00000000   -0.87085403    4.78470168, ptrb=   0.00000000   -0.87103085    4.78505207, dist=   0.00039247 (at    0.00000000   -0.87085403    4.78470168)
iedge=   2, ipnt=   4: anal=   0.00000000   -1.01066956    4.70772033, ptrb=   0.00000000   -1.01093406    4.70816467, dist=   0.00051711 (at    0.00000000   -1.01066956    4.70772033)
iedge=   2, ipnt=   5: anal=   0.00000000   -1.14805030    4.61939766, ptrb=   0.00000000   -1.14842005    4.61993422, dist=   0.00065162 (at    0.00000000   -1.14805030    4.61939766)
iedge=   2, ipnt=   6: anal=   0.00000000   -1.28266528    4.51994647, ptrb=   0.00000000   -1.28315590    4.52056996, dist=   0.00079338 (at    0.00000000   -1.28266528    4.51994647)
iedge=   2, ipnt=   7: anal=   0.00000000   -1.41419021    4.40960632, ptrb=   0.00000000   -1.41481487    4.41030872, dist=   0.00093998 (at    0.00000000   -1.41419021    4.40960632)
iedge=   2, ipnt=   8: anal=   0.00000000   -1.54230823    4.28864305, ptrb=   0.00000000   -1.54307742    4.28941433, dist=   0.00108928 (at    0.00000000   -1.54230823    4.28864305)
iedge=   2, ipnt=   9: anal=   0.00000000   -1.66671070    4.15734806, ptrb=   0.00000000   -1.66763218    4.15817688, dist=   0.00123938 (at    0.00000000   -1.66671070    4.15734806)
iedge=   2, ipnt=  10: anal=   0.00000000   -1.78709791    4.01603766, ptrb=   0.00000000   -1.78817682    4.01691190, dist=   0.00138865 (at    0.00000000   -1.78709791    4.01603766)
iedge=   2, ipnt=  11: anal=   0.00000000   -1.90317985    3.86505227, ptrb=   0.00000000   -1.90441886    3.86595954, dist=   0.00153568 (at    0.00000000   -1.90317985    3.86505227)
...too many errors to list
    d(Edge)/d(ry) check complete with      110 total errors (errmax=  3.0000e-03)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  9.8608e-32)
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(ry) check complete with        0 total errors (errmax=  1.2246e-15)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  9.8608e-32)
 

*********************************************************
Starting tessellation sensitivity wrt "rz"
*********************************************************

Generating perturbed configuration with delta-rz[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rz) check complete with        0 total errors (errmax=  3.6739e-16)
    d(Edge)/d(rz) check complete with        0 total errors (errmax=  3.6739e-16)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(rz) check complete with        0 total errors (errmax=  3.6739e-16)
iedge=   1, ipnt=   0: anal=   0.00000000   -0.00000000   -5.00000000, ptrb=   0.00000000   -0.00000000   -5.00500000, dist=   0.00500000 (at    0.00000000   -0.00000000   -5.00000000)
iedge=   1, ipnt=   1: anal=   0.00000000    0.29405142   -4.97592363, ptrb=   0.00000000    0.29484965   -4.98076822, dist=   0.00490990 (at    0.00000000    0.29405142   -4.97592363)
iedge=   1, ipnt=   2: anal=   0.00000000    0.58527097   -4.90392640, ptrb=   0.00000000    0.58674016   -4.90834214, dist=   0.00465373 (at    0.00000000    0.58527097   -4.90392640)
iedge=   1, ipnt=   3: anal=   0.00000000    0.87085403   -4.78470168, ptrb=   0.00000000    0.87278500   -4.78850797, dist=   0.00426807 (at    0.00000000    0.87085403   -4.78470168)
iedge=   1, ipnt=   4: anal=   0.00000000    1.01066956   -4.70772033, ptrb=   0.00000000    1.01274439   -4.71118807, dist=   0.00404106 (at    0.00000000    1.01066956   -4.70772033)
iedge=   1, ipnt=   5: anal=   0.00000000    1.14805030   -4.61939766, ptrb=   0.00000000    1.15021324   -4.62252072, dist=   0.00379892 (at    0.00000000    1.14805030   -4.61939766)
iedge=   1, ipnt=   6: anal=   0.00000000    1.28266528   -4.51994647, ptrb=   0.00000000    1.28486524   -4.52272869, dist=   0.00354691 (at    0.00000000    1.28266528   -4.51994647)
iedge=   1, ipnt=   7: anal=   0.00000000    1.41419021   -4.40960632, ptrb=   0.00000000    1.41638208   -4.41205939, dist=   0.00328966 (at    0.00000000    1.41419021   -4.40960632)
iedge=   1, ipnt=   8: anal=   0.00000000    1.54230823   -4.28864305, ptrb=   0.00000000    1.54445357   -4.29078442, dist=   0.00303116 (at    0.00000000    1.54230823   -4.28864305)
iedge=   1, ipnt=   9: anal=   0.00000000    1.66671070   -4.15734806, ptrb=   0.00000000    1.66877779   -4.15919906, dist=   0.00277472 (at    0.00000000    1.66671070   -4.15734806)
...too many errors to list
iedge=   2, ipnt=   0: anal=   0.00000000    0.00000000    5.00000000, ptrb=   0.00000000    0.00000000    5.00500000, dist=   0.00500000 (at    0.00000000    0.00000000    5.00000000)
iedge=   2, ipnt=   1: anal=   0.00000000   -0.29405142    4.97592363, ptrb=   0.00000000   -0.29484965    4.98076822, dist=   0.00490990 (at    0.00000000   -0.29405142    4.97592363)
iedge=   2, ipnt=   2: anal=   0.00000000   -0.58527097    4.90392640, ptrb=   0.00000000   -0.58674016    4.90834214, dist=   0.00465373 (at    0.00000000   -0.58527097    4.90392640)
iedge=   2, ipnt=   3: anal=   0.00000000   -0.87085403    4.78470168, ptrb=   0.00000000   -0.87278500    4.78850797, dist=   0.00426807 (at    0.00000000   -0.87085403    4.78470168)
iedge=   2, ipnt=   4: anal=   0.00000000   -1.01066956    4.70772033, ptrb=   0.00000000   -1.01274439    4.71118807, dist=   0.00404106 (at    0.00000000   -1.01066956    4.70772033)
iedge=   2, ipnt=   5: anal=   0.00000000   -1.14805030    4.61939766, ptrb=   0.00000000   -1.15021324    4.62252072, dist=   0.00379892 (at    0.00000000   -1.14805030    4.61939766)
iedge=   2, ipnt=   6: anal=   0.00000000   -1.28266528    4.51994647, ptrb=   0.00000000   -1.28486524    4.52272869, dist=   0.00354691 (at    0.00000000   -1.28266528    4.51994647)
iedge=   2, ipnt=   7: anal=   0.00000000   -1.41419021    4.40960632, ptrb=   0.00000000   -1.41638208    4.41205939, dist=   0.00328966 (at    0.00000000   -1.41419021    4.40960632)
iedge=   2, ipnt=   8: anal=   0.00000000   -1.54230823    4.28864305, ptrb=   0.00000000   -1.54445357    4.29078442, dist=   0.00303116 (at    0.00000000   -1.54230823    4.28864305)
iedge=   2, ipnt=   9: anal=   0.00000000   -1.66671070    4.15734806, ptrb=   0.00000000   -1.66877779    4.15919906, dist=   0.00277472 (at    0.00000000   -1.66671070    4.15734806)
...too many errors to list
    d(Edge)/d(rz) check complete with      104 total errors (errmax=  5.0000e-03)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(rz) check complete with        0 total errors (errmax=  1.2262e-15)
iedge=   1, ipnt=   6: anal=  -1.43541050    0.00000000    1.45142339, ptrb=  -1.43554131    0.00000000    1.45143527, dist=   0.00013134 (at   -1.43541050    0.00000000    1.45142339)
iedge=   1, ipnt=   7: anal=  -1.41231610    0.00000000    1.68444927, ptrb=  -1.41249458    0.00000000    1.68446839, dist=   0.00017950 (at   -1.41231610    0.00000000    1.68444927)
iedge=   1, ipnt=   8: anal=  -1.38581930    0.00000000    1.91341716, ptrb=  -1.38605310    0.00000000    1.91344615, dist=   0.00023559 (at   -1.38581930    0.00000000    1.91341716)
iedge=   1, ipnt=   9: anal=  -1.35598394    0.00000000    2.13777547, ptrb=  -1.35628083    0.00000000    2.13781750, dist=   0.00029985 (at   -1.35598394    0.00000000    2.13777547)
iedge=   1, ipnt=  10: anal=  -1.32288190    0.00000000    2.35698368, ptrb=  -1.32324981    0.00000000    2.35704255, dist=   0.00037259 (at   -1.32288190    0.00000000    2.35698368)
iedge=   1, ipnt=  11: anal=  -1.28659292    0.00000000    2.57051372, ptrb=  -1.28703996    0.00000000    2.57059392, dist=   0.00045419 (at   -1.28659292    0.00000000    2.57051372)
iedge=   1, ipnt=  12: anal=  -1.24720442    0.00000000    2.77785117, ptrb=  -1.24773892    0.00000000    2.77795805, dist=   0.00054508 (at   -1.24720442    0.00000000    2.77785117)
iedge=   1, ipnt=  13: anal=  -1.20481130    0.00000000    2.97849652, ptrb=  -1.20544177    0.00000000    2.97863645, dist=   0.00064581 (at   -1.20481130    0.00000000    2.97849652)
iedge=   1, ipnt=  14: anal=  -1.15951568    0.00000000    3.17196642, ptrb=  -1.16025086    0.00000000    3.17214696, dist=   0.00075703 (at   -1.15951568    0.00000000    3.17196642)
iedge=   1, ipnt=  15: anal=  -1.11142669    0.00000000    3.35779477, ptrb=  -1.11227553    0.00000000    3.35802496, dist=   0.00087950 (at   -1.11142669    0.00000000    3.35779477)
...too many errors to list
iedge=   2, ipnt=   6: anal=   1.43541050    0.00000000   -1.45142339, ptrb=   1.43554131    0.00000000   -1.45143527, dist=   0.00013134 (at    1.43541050    0.00000000   -1.45142339)
iedge=   2, ipnt=   7: anal=   1.41231610    0.00000000   -1.68444927, ptrb=   1.41249458    0.00000000   -1.68446839, dist=   0.00017950 (at    1.41231610    0.00000000   -1.68444927)
iedge=   2, ipnt=   8: anal=   1.38581930    0.00000000   -1.91341716, ptrb=   1.38605310    0.00000000   -1.91344615, dist=   0.00023559 (at    1.38581930    0.00000000   -1.91341716)
iedge=   2, ipnt=   9: anal=   1.35598394    0.00000000   -2.13777547, ptrb=   1.35628083    0.00000000   -2.13781750, dist=   0.00029985 (at    1.35598394    0.00000000   -2.13777547)
iedge=   2, ipnt=  10: anal=   1.32288190    0.00000000   -2.35698368, ptrb=   1.32324981    0.00000000   -2.35704255, dist=   0.00037259 (at    1.32288190    0.00000000   -2.35698368)
iedge=   2, ipnt=  11: anal=   1.28659292    0.00000000   -2.57051372, ptrb=   1.28703996    0.00000000   -2.57059392, dist=   0.00045419 (at    1.28659292    0.00000000   -2.57051372)
iedge=   2, ipnt=  12: anal=   1.24720442    0.00000000   -2.77785117, ptrb=   1.24773892    0.00000000   -2.77795805, dist=   0.00054508 (at    1.24720442    0.00000000   -2.77785117)
iedge=   2, ipnt=  13: anal=   1.20481130    0.00000000   -2.97849652, ptrb=   1.20544177    0.00000000   -2.97863645, dist=   0.00064581 (at    1.20481130    0.00000000   -2.97849652)
iedge=   2, ipnt=  14: anal=   1.15951568    0.00000000   -3.17196642, ptrb=   1.16025086    0.00000000   -3.17214696, dist=   0.00075703 (at    1.15951568    0.00000000   -3.17196642)
iedge=   2, ipnt=  15: anal=   1.11142669    0.00000000   -3.35779477, ptrb=   1.11227553    0.00000000   -3.35802496, dist=   0.00087950 (at    1.11142669    0.00000000   -3.35779477)
...too many errors to list
    d(Edge)/d(rz) check complete with       82 total errors (errmax=  5.0000e-03)
    d(Node)/d(rz) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.034 sec

Sensitivity checks complete with      594 total errors (max tessel err=  5.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0i.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "rx" for ibody=2
    d(Face)/d(rx) check complete with        0 total errors (errmax=  3.7092e-10)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  2.3907e-10)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  2.4493e-16)
 

*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "ry" for ibody=2
    d(Face)/d(ry) check complete with        0 total errors (errmax=  4.2037e-10)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  3.8353e-10)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "span" for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  3.9347e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.158 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.2037e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0i.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "rx"
*********************************************************

Generating perturbed configuration with delta-rx[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(rx) check complete with        0 total errors (errmax=  3.6758e-16)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  3.6739e-16)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  3.6739e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "ry"
*********************************************************

Generating perturbed configuration with delta-ry[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(ry) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  3.6739e-16)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  3.6739e-16)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.236 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.4410e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0j.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[1,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.4613e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  2.9998e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  1.3930e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[2,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.8477e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  5.5679e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[3,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  6.0812e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  3.0454e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  8.2740e-11)

*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  3.9350e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  5.0869e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  8.2740e-11)
 

*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  3.9350e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  4.3181e-11)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  4.3368e-19)

*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  3.9204e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.3930e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  4.2856e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.9376e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  8.2740e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  3.0478e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[1,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.9350e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.7658e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[2,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.9264e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  6.8629e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[3,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.9423e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  5.3831e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[4,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  3.9350e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.2670e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)
 

*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[1,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.9250e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.6003e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.3508e-11)

*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[2,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.5194e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.8955e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.2480e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[3,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.0500e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.9862e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.3426e-11)

*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[4,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.1869e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.0621e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.0378e-10)
 

*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[1,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  1.0518e-07)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  1.0570e-07)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  4.0151e-11)

*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[2,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  7.2359e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  7.2515e-08)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  2.4029e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[3,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  6.6202e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  6.6250e-08)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.2156e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[4,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  1.7592e-08)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  1.7699e-08)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.6448e-10)
 

*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[1,1]" for ibody=26
iface=   1, ipnt=   1 (Z): anal=  -0.51395939,  fd=  -0.51422063,  err=   0.00026124 (at    0.65451353   -0.00000000    0.12039210)
iface=   1, ipnt=   2 (Z): anal=  -0.51321769,  fd=  -0.51357298,  err=   0.00035529 (at    0.68061391   -0.00000000    0.11761966)
iface=   1, ipnt=   3 (Z): anal=  -0.50793400,  fd=  -0.50815949,  err=   0.00022548 (at    0.73244516   -0.00000000    0.11271432)
iface=   1, ipnt=  29 (Z): anal=   0.51961169,  fd=   0.51984236,  err=  -0.00023067 (at    0.75141334    0.00000000    0.27378001)
iface=   1, ipnt=  30 (Z): anal=   0.52798593,  fd=   0.52835144,  err=  -0.00036551 (at    0.69986055    0.00000000    0.28104988)
iface=   1, ipnt=  31 (Z): anal=   0.53013574,  fd=   0.53040520,  err=  -0.00026946 (at    0.67383017    0.00000000    0.28441670)
iface=   1, ipnt= 101 (Z): anal=   0.19674015,  fd=   0.19684969,  err=  -0.00010954 (at    0.95178405    0.26839919    0.23854505)
iface=   1, ipnt= 128 (Z): anal=  -0.19456197,  fd=  -0.19467029,  err=   0.00010832 (at    0.94410302    0.26839916    0.13997664)
iface=   1, ipnt= 133 (Z): anal=   0.36252072,  fd=   0.36276650,  err=  -0.00024578 (at    0.81576328    0.13525865    0.26095889)
iface=   1, ipnt= 134 (Z): anal=   0.35837901,  fd=   0.35863947,  err=  -0.00026046 (at    0.85136725    0.13642289    0.25690042)
...too many errors to list
iface=   4, ipnt=   1 (Z): anal=   0.52982003,  fd=   0.53008933,  err=  -0.00026930 (at    0.62157339    0.00000000    0.29057081)
iface=   4, ipnt=   2 (Z): anal=   0.52735776,  fd=   0.52772284,  err=  -0.00036508 (at    0.59547301    0.00000000    0.29334326)
iface=   4, ipnt=   3 (Z): anal=   0.51828046,  fd=   0.51851054,  err=  -0.00023008 (at    0.54364175    0.00000000    0.29824859)
iface=   4, ipnt=  33 (Z): anal=  -0.49736072,  fd=  -0.49758151,  err=   0.00022079 (at    0.52467357   -0.00000000    0.13718291)
iface=   4, ipnt=  34 (Z): anal=  -0.50792356,  fd=  -0.50827519,  err=   0.00035162 (at    0.57622636   -0.00000000    0.12991304)
iface=   4, ipnt=  35 (Z): anal=  -0.51129896,  fd=  -0.51155885,  err=   0.00025989 (at    0.60225675   -0.00000000    0.12654621)
iface=   4, ipnt= 109 (Z): anal=  -0.19246519,  fd=  -0.19257784,  err=   0.00011265 (at    0.87212627    0.26920909    0.14513220)
iface=   4, ipnt= 138 (Z): anal=   0.19522962,  fd=   0.19533827,  err=  -0.00010865 (at    0.89002660    0.26841573    0.24275376)
iface=   4, ipnt= 143 (Z): anal=  -0.35346106,  fd=  -0.35367034,  err=   0.00020929 (at    0.74802936    0.13525593    0.13509306)
iface=   4, ipnt= 144 (Z): anal=  -0.34929472,  fd=  -0.34956614,  err=   0.00027142 (at    0.72128826    0.13641372    0.13821230)
...too many errors to list
    d(Face)/d(thick) check complete with      103 total errors (errmax=  3.6551e-04)
iedge=   2, ipnt=   1 (Z): anal=  -0.53203171,  fd=  -0.53230214,  err=   0.00027043 (at    0.65451353   -0.00000000    0.12039210)
iedge=   2, ipnt=   2 (Z): anal=  -0.53038860,  fd=  -0.53075578,  err=   0.00036717 (at    0.68061391   -0.00000000    0.11761966)
iedge=   2, ipnt=   3 (Z): anal=  -0.52342302,  fd=  -0.52365538,  err=   0.00023236 (at    0.73244516   -0.00000000    0.11271432)
iedge=   2, ipnt=  29 (Z): anal=   0.51965830,  fd=   0.51988899,  err=  -0.00023069 (at    0.75141334    0.00000000    0.27378001)
iedge=   2, ipnt=  30 (Z): anal=   0.52849204,  fd=   0.52885790,  err=  -0.00036586 (at    0.69986055    0.00000000    0.28104988)
iedge=   2, ipnt=  31 (Z): anal=   0.53107975,  fd=   0.53134969,  err=  -0.00026994 (at    0.67383017    0.00000000    0.28441670)
iedge=  11, ipnt=   1 (Z): anal=   0.53203171,  fd=   0.53230214,  err=  -0.00027043 (at    0.62157339    0.00000000    0.29057081)
iedge=  11, ipnt=   2 (Z): anal=   0.53038860,  fd=   0.53075578,  err=  -0.00036717 (at    0.59547301    0.00000000    0.29334326)
iedge=  11, ipnt=   3 (Z): anal=   0.52342302,  fd=   0.52365538,  err=  -0.00023236 (at    0.54364175    0.00000000    0.29824859)
iedge=  11, ipnt=  33 (Z): anal=  -0.51965830,  fd=  -0.51988899,  err=   0.00023069 (at    0.52467357   -0.00000000    0.13718291)
iedge=  11, ipnt=  34 (Z): anal=  -0.52849204,  fd=  -0.52885790,  err=   0.00036586 (at    0.57622636   -0.00000000    0.12991304)
iedge=  11, ipnt=  35 (Z): anal=  -0.53107975,  fd=  -0.53134969,  err=   0.00026994 (at    0.60225675   -0.00000000    0.12654621)
    d(Edge)/d(thick) check complete with       12 total errors (errmax=  3.6717e-04)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  4.3254e-11)

*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[2,1]" for ibody=26
iface=   1, ipnt=  49 (Z): anal=   0.27891039,  fd=   0.27910347,  err=  -0.00019308 (at    1.11134916    0.42799900    0.21251821)
iface=   1, ipnt=  50 (Z): anal=   0.27638035,  fd=   0.27650304,  err=  -0.00012269 (at    1.13908294    0.42799900    0.21171571)
iface=   1, ipnt=  72 (Z): anal=  -0.27804822,  fd=  -0.27817165,  err=   0.00012343 (at    1.13829712    0.42799900    0.15274855)
iface=   1, ipnt=  73 (Z): anal=  -0.28219869,  fd=  -0.28239405,  err=   0.00019536 (at    1.11055181    0.42799900    0.15268538)
iface=   1, ipnt= 101 (Z): anal=   0.17635727,  fd=   0.17648496,  err=  -0.00012769 (at    0.95178405    0.26839919    0.23854505)
iface=   1, ipnt= 102 (Z): anal=   0.17507027,  fd=   0.17517698,  err=  -0.00010671 (at    0.98601560    0.26916012    0.23558366)
iface=   1, ipnt= 127 (Z): anal=  -0.17363432,  fd=  -0.17374016,  err=   0.00010583 (at    0.97845349    0.26916008    0.13831202)
iface=   1, ipnt= 128 (Z): anal=  -0.17480428,  fd=  -0.17493084,  err=   0.00012656 (at    0.94410302    0.26839916    0.13997664)
iface=   1, ipnt= 187 (Z): anal=   0.26235315,  fd=   0.26254359,  err=  -0.00019044 (at    1.08491917    0.40144535    0.21678551)
iface=   1, ipnt= 188 (Z): anal=   0.25993999,  fd=   0.26006738,  err=  -0.00012739 (at    1.11386290    0.40157827    0.21559587)
...too many errors to list
iface=   2, ipnt=   1 (Z): anal=  -0.28148910,  fd=  -0.28168396,  err=   0.00019487 (at    1.11055181    0.42799900    0.15268538)
iface=   2, ipnt=   2 (Z): anal=  -0.27779129,  fd=  -0.27791460,  err=   0.00012332 (at    1.13829712    0.42799900    0.15274855)
iface=   2, ipnt=  24 (Z): anal=   0.27869592,  fd=   0.27881964,  err=  -0.00012372 (at    1.13908294    0.42799900    0.21171571)
iface=   2, ipnt=  25 (Z): anal=   0.28322773,  fd=   0.28342380,  err=  -0.00019607 (at    1.11134916    0.42799900    0.21251821)
iface=   2, ipnt= 119 (Z): anal=   0.17630045,  fd=   0.17642930,  err=  -0.00012885 (at    1.24379228    0.57139718    0.21745831)
iface=   2, ipnt= 140 (Z): anal=  -0.19225113,  fd=  -0.19240067,  err=   0.00014954 (at    1.21721079    0.54936098    0.16429612)
iface=   2, ipnt= 277 (Z): anal=   0.15861548,  fd=   0.15872461,  err=  -0.00010913 (at    1.26554983    0.59508116    0.21829525)
iface=   2, ipnt= 324 (Z): anal=  -0.15723464,  fd=  -0.15734993,  err=   0.00011528 (at    1.25812861    0.59679830    0.16884490)
iface=   2, ipnt= 330 (Z): anal=  -0.17473637,  fd=  -0.17486933,  err=   0.00013296 (at    1.23774948    0.57309497    0.16657228)
iface=   2, ipnt= 331 (Z): anal=   0.19405514,  fd=   0.19420290,  err=  -0.00014777 (at    1.22180468    0.54764888    0.21662831)
...too many errors to list
iface=   4, ipnt=  53 (Z): anal=  -0.28334573,  fd=  -0.28348975,  err=   0.00014402 (at    1.06852025    0.42799900    0.15313669)
iface=   4, ipnt=  54 (Z): anal=  -0.28227321,  fd=  -0.28246862,  err=   0.00019541 (at    1.05453421    0.42799900    0.15343189)
iface=   4, ipnt=  55 (Z): anal=  -0.27817970,  fd=  -0.27830319,  err=   0.00012349 (at    1.02680043    0.42799900    0.15423439)
iface=   4, ipnt=  79 (Z): anal=   0.26861787,  fd=   0.26873711,  err=  -0.00011925 (at    1.02758625    0.42799900    0.21320155)
iface=   4, ipnt=  80 (Z): anal=   0.27497890,  fd=   0.27516926,  err=  -0.00019036 (at    1.05533156    0.42799900    0.21326472)
iface=   4, ipnt= 108 (Z): anal=  -0.17450878,  fd=  -0.17460938,  err=   0.00010059 (at    0.89363749    0.26843282    0.14331714)
iface=   4, ipnt= 109 (Z): anal=  -0.17388445,  fd=  -0.17401736,  err=   0.00013291 (at    0.87212627    0.26920909    0.14513220)
iface=   4, ipnt= 137 (Z): anal=   0.17315591,  fd=   0.17326141,  err=  -0.00010550 (at    0.85720566    0.26917686    0.24434093)
iface=   4, ipnt= 138 (Z): anal=   0.17543305,  fd=   0.17556003,  err=  -0.00012698 (at    0.89002660    0.26841573    0.24275376)
iface=   4, ipnt= 201 (Z): anal=  -0.26508847,  fd=  -0.26523120,  err=   0.00014273 (at    1.03950234    0.40145835    0.15150318)
...too many errors to list
iface=   5, ipnt=   1 (Z): anal=   0.28387142,  fd=   0.28406794,  err=  -0.00019652 (at    1.05533156    0.42799900    0.21326472)
iface=   5, ipnt=   2 (Z): anal=   0.27996160,  fd=   0.28008588,  err=  -0.00012428 (at    1.02758625    0.42799900    0.21320155)
iface=   5, ipnt=  26 (Z): anal=  -0.27597482,  fd=  -0.27609733,  err=   0.00012251 (at    1.02680043    0.42799900    0.15423439)
iface=   5, ipnt=  27 (Z): anal=  -0.28057860,  fd=  -0.28077284,  err=   0.00019424 (at    1.05453421    0.42799900    0.15343189)
iface=   5, ipnt=  28 (Z): anal=  -0.28191313,  fd=  -0.28205642,  err=   0.00014329 (at    1.06852025    0.42799900    0.15313669)
iface=   5, ipnt= 126 (Z): anal=  -0.19163581,  fd=  -0.19178469,  err=   0.00014887 (at    1.16369959    0.54957586    0.16449013)
iface=   5, ipnt= 149 (Z): anal=   0.17690431,  fd=   0.17703915,  err=  -0.00013484 (at    1.18340214    0.57185630    0.21764105)
iface=   5, ipnt= 294 (Z): anal=  -0.15625707,  fd=  -0.15637025,  err=   0.00011318 (at    1.20240849    0.59717819    0.16885890)
iface=   5, ipnt= 301 (Z): anal=  -0.17392559,  fd=  -0.17405781,  err=   0.00013221 (at    1.18299422    0.57339815    0.16668167)
iface=   5, ipnt= 359 (Z): anal=   0.15919709,  fd=   0.15931411,  err=  -0.00011702 (at    1.20485217    0.59560433    0.21835797)
...too many errors to list
    d(Face)/d(thick) check complete with      112 total errors (errmax=  1.9652e-04)
iedge=   4, ipnt=   1 (Z): anal=  -0.28418854,  fd=  -0.28438528,  err=   0.00019674 (at    1.11055181    0.42799900    0.15268538)
iedge=   4, ipnt=   2 (Z): anal=  -0.28009341,  fd=  -0.28021775,  err=   0.00012434 (at    1.13829712    0.42799900    0.15274855)
iedge=   4, ipnt=  24 (Z): anal=   0.27993736,  fd=   0.28006163,  err=  -0.00012427 (at    1.13908294    0.42799900    0.21171571)
iedge=   4, ipnt=  25 (Z): anal=   0.28410996,  fd=   0.28430664,  err=  -0.00019668 (at    1.11134916    0.42799900    0.21251821)
iedge=  12, ipnt=   1 (Z): anal=   0.28418854,  fd=   0.28438528,  err=  -0.00019674 (at    1.05533156    0.42799900    0.21326472)
iedge=  12, ipnt=   2 (Z): anal=   0.28009341,  fd=   0.28021775,  err=  -0.00012434 (at    1.02758625    0.42799900    0.21320155)
iedge=  12, ipnt=  26 (Z): anal=  -0.27993736,  fd=  -0.28006163,  err=   0.00012427 (at    1.02680043    0.42799900    0.15423439)
iedge=  12, ipnt=  27 (Z): anal=  -0.28410996,  fd=  -0.28430664,  err=   0.00019668 (at    1.05453421    0.42799900    0.15343189)
iedge=  12, ipnt=  28 (Z): anal=  -0.28523842,  fd=  -0.28538340,  err=   0.00014498 (at    1.06852025    0.42799900    0.15313669)
    d(Edge)/d(thick) check complete with        9 total errors (errmax=  1.9674e-04)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.2407e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[3,1]" for ibody=26
iface=   2, ipnt=  63 (Z): anal=  -0.19039144,  fd=  -0.19052324,  err=   0.00013180 (at    1.43974172    0.80972700    0.18918128)
iface=   2, ipnt= 234 (Z): anal=  -0.17874431,  fd=  -0.17887473,  err=   0.00013042 (at    1.41966003    0.78635799    0.18695387)
iface=   2, ipnt= 240 (Z): anal=  -0.16706653,  fd=  -0.16719297,  err=   0.00012645 (at    1.39960348    0.76297499    0.18472407)
iface=   2, ipnt= 246 (Z): anal=  -0.15517398,  fd=  -0.15529418,  err=   0.00012020 (at    1.37937977    0.73921529    0.18246049)
iface=   2, ipnt= 252 (Z): anal=  -0.14327011,  fd=  -0.14338210,  err=   0.00011198 (at    1.35917094    0.71545256    0.18019420)
iface=   2, ipnt= 258 (Z): anal=  -0.13136420,  fd=  -0.13146636,  err=   0.00010216 (at    1.33897670    0.69169523    0.17792605)
iface=   3, ipnt=   1 (Z): anal=  -0.18721272,  fd=  -0.18734232,  err=   0.00012960 (at    1.43974172    0.80972700    0.18918128)
iface=   3, ipnt= 321 (Z): anal=  -0.15080019,  fd=  -0.15090630,  err=   0.00010611 (at    1.50601613    0.87598737    0.20137110)
iface=   3, ipnt= 326 (Z): anal=  -0.16290129,  fd=  -0.16302172,  err=   0.00012043 (at    1.48413804    0.85406044    0.19732328)
iface=   3, ipnt= 331 (Z): anal=  -0.17496781,  fd=  -0.17509643,  err=   0.00012862 (at    1.46229349    0.83208320    0.19328590)
iface=   3, ipnt= 336 (Z): anal=  -0.18119098,  fd=  -0.18132114,  err=   0.00013016 (at    1.45078119    0.82074879    0.19119972)
iface=   5, ipnt=  68 (Z): anal=   0.19113319,  fd=   0.19126551,  err=  -0.00013232 (at    1.40100059    0.80972700    0.22491872)
iface=   5, ipnt= 121 (Z): anal=   0.13145517,  fd=   0.13155751,  err=  -0.00010234 (at    1.29140599    0.69043234    0.22123539)
iface=   5, ipnt= 251 (Z): anal=   0.18504561,  fd=   0.18517772,  err=  -0.00013211 (at    1.38973857    0.79750368    0.22453602)
iface=   5, ipnt= 258 (Z): anal=   0.17893248,  fd=   0.17906362,  err=  -0.00013114 (at    1.37840696    0.78525533    0.22415214)
iface=   5, ipnt= 265 (Z): anal=   0.16714568,  fd=   0.16727278,  err=  -0.00012711 (at    1.35675647    0.76164673    0.22342180)
iface=   5, ipnt= 272 (Z): anal=   0.15526355,  fd=   0.15538425,  err=  -0.00012070 (at    1.33496720    0.73790080    0.22269004)
iface=   5, ipnt= 279 (Z): anal=   0.14336398,  fd=   0.14347629,  err=  -0.00011231 (at    1.31317849    0.71416115    0.22196122)
iface=   6, ipnt=   1 (Z): anal=   0.18943386,  fd=   0.18956500,  err=  -0.00013114 (at    1.40100059    0.80972700    0.22491872)
iface=   6, ipnt= 299 (Z): anal=   0.15239663,  fd=   0.15250503,  err=  -0.00010840 (at    1.45258834    0.87633305    0.23313271)
iface=   6, ipnt= 303 (Z): anal=   0.16463913,  fd=   0.16476163,  err=  -0.00012251 (at    1.43573768    0.85443506    0.23045250)
iface=   6, ipnt= 307 (Z): anal=   0.17686441,  fd=   0.17699463,  err=  -0.00013022 (at    1.41849799    0.83241849    0.22772923)
iface=   6, ipnt= 311 (Z): anal=   0.18328475,  fd=   0.18341643,  err=  -0.00013168 (at    1.40957410    0.82084209    0.22629741)
    d(Face)/d(thick) check complete with       23 total errors (errmax=  1.3232e-04)
iedge=   7, ipnt=   1 (Z): anal=  -0.19113579,  fd=  -0.19126811,  err=   0.00013232 (at    1.43974172    0.80972700    0.18918128)
iedge=  13, ipnt=   1 (Z): anal=   0.19113579,  fd=   0.19126811,  err=  -0.00013232 (at    1.40100059    0.80972700    0.22491872)
    d(Edge)/d(thick) check complete with        2 total errors (errmax=  1.3232e-04)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.5761e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[4,1]" for ibody=26
    d(Face)/d(thick) check complete with        0 total errors (errmax=  1.9816e-05)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.9932e-05)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  4.5598e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.027 sec

Sensitivity checks complete with      261 tnotal errors (max config err=  3.6717e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0j.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xle[1,1]"
*********************************************************

Generating perturbed configuration with delta-xle[1,1]=   0.90429400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00090429 (at    0.62837343   -0.00000000    0.12336979)
iface=   1, ipnt=  32: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00090429 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64772577    0.00000575    0.28769774, dist=   0.00010549 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  36: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62840624   -0.00000000    0.12347253, dist=   0.00010785 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(xle) check complete with        4 total errors (errmax=  9.0429e-04)
iedge=   1, ipnt=   0: anal=   0.62879985   -0.00045034    0.12333870, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00065737 (at    0.62837343   -0.00000000    0.12336979)
iedge=   2, ipnt=   0: anal=   0.62838580   -0.00000000    0.12347483, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00089809 (at    0.62837343   -0.00000000    0.12336979)
iedge=   2, ipnt=  32: anal=   0.64772585    0.00000000    0.28769816, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00089809 (at    0.64771348    0.00000000    0.28759312)
iedge=   3, ipnt=   0: anal=   0.64816440   -0.00044544    0.28767072, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00064030 (at    0.64771348    0.00000000    0.28759312)
    d(Edge)/d(xle) check complete with        4 total errors (errmax=  8.9809e-04)
inode=   1:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00090429 (at    0.62927773   -0.00000000    0.12336979)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00090429 (at    0.64861777    0.00000000    0.28759312)
    d(Node)/d(xle) check complete with        2 total errors (errmax=  9.0429e-04)

*********************************************************
Starting tessellation sensitivity wrt "xle[2,1]"
*********************************************************

Generating perturbed configuration with delta-xle[2,1]=   1.22582000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  48: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456778    0.42799867    0.21303671, dist=   0.00122548 (at    1.08334230    0.42799900    0.21303665)
iface=   1, ipnt=  74: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376230    0.42799468    0.15291316, dist=   0.00122123 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122582 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=  26: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122582 (at    1.08334230    0.42799900    0.21303665)
    d(Face)/d(xle) check complete with        4 total errors (errmax=  1.2258e-03)
iedge=   4, ipnt=   0: anal=   1.08254129    0.42799900    0.15292979, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122571 (at    1.08254107    0.42799900    0.15291345)
iedge=   4, ipnt=  26: anal=   1.08334252    0.42799900    0.21305298, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122571 (at    1.08334230    0.42799900    0.21303665)
iedge=   5, ipnt=   0: anal=   1.08323017    0.42739348    0.15285692, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00081113 (at    1.08254107    0.42799900    0.15291345)
iedge=   6, ipnt=   0: anal=   1.08403242    0.42739130    0.21301673, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00081035 (at    1.08334230    0.42799900    0.21303665)
    d(Edge)/d(xle) check complete with        4 total errors (errmax=  1.2257e-03)
inode=   2:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122582 (at    1.08376689    0.42799900    0.15291345)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122582 (at    1.08456812    0.42799900    0.21303665)
    d(Node)/d(xle) check complete with        2 total errors (errmax=  1.2258e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[3,1]"
*********************************************************

Generating perturbed configuration with delta-xle[3,1]=   1.51650400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  43: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135743    0.80972443    0.22554587, dist=   0.00151423 (at    1.41984321    0.80972700    0.22554595)
iface=   2, ipnt=  64: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=  21: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151650 (at    1.41984321    0.80972700    0.22554595)
    d(Face)/d(xle) check complete with        4 total errors (errmax=  1.5165e-03)
iedge=   7, ipnt=   0: anal=   1.42090034    0.80972700    0.18851078, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151589 (at    1.42089910    0.80972700    0.18855404)
iedge=   7, ipnt=  21: anal=   1.41984444    0.80972700    0.22550270, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151589 (at    1.41984321    0.80972700    0.22554595)
iedge=   8, ipnt=   0: anal=   1.42176157    0.80898750    0.18842281, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00099592 (at    1.42089910    0.80972700    0.18855404)
iedge=   9, ipnt=   0: anal=   1.42070100    0.80898154    0.22544940, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00099947 (at    1.41984321    0.80972700    0.22554595)
    d(Edge)/d(xle) check complete with        4 total errors (errmax=  1.5159e-03)
inode=   5:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42241560    0.80972700    0.18855404)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151650 (at    1.42135971    0.80972700    0.22554595)
    d(Node)/d(xle) check complete with        2 total errors (errmax=  1.5165e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[4,1]"
*********************************************************

Generating perturbed configuration with delta-xle[4,1]=   1.78073700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  39: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00178074 (at    1.72648467    1.15675300    0.27049601)
iface=   3, ipnt=  55: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00178074 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  40: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782071    1.15675300    0.25001849, dist=   0.00011521 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  56: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72649180    1.15675300    0.27037835, dist=   0.00011787 (at    1.72648467    1.15675300    0.27049601)
    d(Face)/d(xle) check complete with        4 total errors (errmax=  1.7807e-03)
iedge=  10, ipnt=   0: anal=   1.72782690    1.15675300    0.25001748, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00177692 (at    1.72781928    1.15675300    0.25013370)
iedge=  10, ipnt=  16: anal=   1.72649228    1.15675300    0.27037979, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00177692 (at    1.72648467    1.15675300    0.27049601)
    d(Edge)/d(xle) check complete with        2 total errors (errmax=  1.7769e-03)
inode=   7:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00178074 (at    1.72960002    1.15675300    0.25013370)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00178074 (at    1.72826540    1.15675300    0.27049601)
    d(Node)/d(xle) check complete with        2 total errors (errmax=  1.7807e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "yle[1,1]"
*********************************************************

Generating perturbed configuration with delta-yle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  6.9567e-07)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)

*********************************************************
Starting tessellation sensitivity wrt "yle[2,1]"
*********************************************************

Generating perturbed configuration with delta-yle[2,1]=   0.42799900
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=  26: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  52: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08231577    0.42821447    0.15289880, dist=   0.00031209 (at    1.08254107    0.42799900    0.15291345)
iface=   4, ipnt=  81: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08313016    0.42821837    0.21307295, dist=   0.00030732 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  29: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42799900    0.15291345)
    d(Face)/d(yle) check complete with        6 total errors (errmax=  4.2800e-04)
iedge=   5, ipnt=   0: anal=   1.08232965    0.42818848    0.15289118, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00031951 (at    1.08254107    0.42799900    0.15291345)
iedge=   6, ipnt=   0: anal=   1.08313012    0.42818630    0.21302876, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00032097 (at    1.08334230    0.42799900    0.21303665)
    d(Edge)/d(yle) check complete with        2 total errors (errmax=  3.2097e-04)
inode=   2:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42842700    0.15291345)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42842700    0.21303665)
    d(Node)/d(yle) check complete with        2 total errors (errmax=  4.2800e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[3,1]"
*********************************************************

Generating perturbed configuration with delta-yle[3,1]=   0.80972700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=  21: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  46: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42018618    0.80973072    0.18847894, dist=   0.00071688 (at    1.42089910    0.80972700    0.18855404)
iface=   5, ipnt=  69: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41913097    0.80972705    0.22551948, dist=   0.00071273 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=  23: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.80972700    0.18855404)
    d(Face)/d(yle) check complete with        6 total errors (errmax=  8.0973e-04)
iedge=   8, ipnt=   0: anal=   1.42050425    0.81009028    0.18847481, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00060125 (at    1.42089910    0.80972700    0.18855404)
iedge=   9, ipnt=   0: anal=   1.41944517    0.81008627    0.22548761, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00060394 (at    1.41984321    0.80972700    0.22554595)
    d(Edge)/d(yle) check complete with        2 total errors (errmax=  6.0394e-04)
inode=   5:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.81053673    0.18855404)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.81053673    0.22554595)
    d(Node)/d(yle) check complete with        2 total errors (errmax=  8.0973e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[4,1]"
*********************************************************

Generating perturbed configuration with delta-yle[4,1]=   1.15675300
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  55: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782823    1.15676901    0.24999872, dist=   0.00013622 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  40: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72681381    1.15676911    0.24993196, dist=   0.00102564 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  56: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72547107    1.15675884    0.27034742, dist=   0.00102445 (at    1.72648467    1.15675300    0.27049601)
iface=   8, ipnt=   0: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15790975    0.27049601, dist=   0.00115675 (at    1.72648467    1.15675300    0.27049601)
iface=   8, ipnt=  16: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15790975    0.25013370, dist=   0.00115675 (at    1.72781928    1.15675300    0.25013370)
    d(Face)/d(yle) check complete with        5 total errors (errmax=  1.1568e-03)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.4262e-06)
inode=   7:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15790975    0.25013370, dist=   0.00115675 (at    1.72781928    1.15790975    0.25013370)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15790975    0.27049601, dist=   0.00115675 (at    1.72648467    1.15790975    0.27049601)
    d(Node)/d(yle) check complete with        2 total errors (errmax=  1.1568e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "zle[1,1]"
*********************************************************

Generating perturbed configuration with delta-zle[1,1]=   0.17412600
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62840020   -0.00000000    0.12354076, dist=   0.00017306 (at    0.62837343   -0.00000000    0.12336979)
iface=   1, ipnt=  32: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64773365    0.00000937    0.28776436, dist=   0.00017268 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64772302    0.00000937    0.28776561, dist=   0.00017301 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  36: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62837343   -0.00000000    0.12354392, dist=   0.00017413 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(zle) check complete with        4 total errors (errmax=  1.7413e-04)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  2.0366e-05)
inode=   1:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62837343   -0.00000000    0.12354392, dist=   0.00017413 (at    0.62837343   -0.00000000    0.12354392)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64771348    0.00000000    0.28776725, dist=   0.00017413 (at    0.64771348    0.00000000    0.28776725)
    d(Node)/d(zle) check complete with        2 total errors (errmax=  1.7413e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[2,1]"
*********************************************************

Generating perturbed configuration with delta-zle[2,1]=   0.18107100
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  48: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   1, ipnt=  74: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254347    0.42798397    0.15309324, dist=   0.00018043 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254583    0.42799900    0.15309446, dist=   0.00018107 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=  26: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334701    0.42799900    0.21321766, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  52: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253310    0.42799148    0.15309400, dist=   0.00018088 (at    1.08254107    0.42799900    0.15291345)
iface=   4, ipnt=  81: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  29: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42799900    0.15309452, dist=   0.00018107 (at    1.08254107    0.42799900    0.15291345)
    d(Face)/d(zle) check complete with        8 total errors (errmax=  1.8107e-04)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  2.1943e-05)
inode=   2:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42799900    0.15309452, dist=   0.00018107 (at    1.08254107    0.42799900    0.15309452)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21321772)
    d(Node)/d(zle) check complete with        2 total errors (errmax=  1.8107e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[3,1]"
*********************************************************

Generating perturbed configuration with delta-zle[3,1]=   0.20979400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  43: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984170    0.80972529    0.22575569, dist=   0.00020975 (at    1.41984321    0.80972700    0.22554595)
iface=   2, ipnt=  64: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089315    0.80971268    0.18876268, dist=   0.00020922 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=  21: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  46: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42088641    0.80971268    0.18876249, dist=   0.00020933 (at    1.42089910    0.80972700    0.18855404)
iface=   5, ipnt=  69: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983722    0.80972529    0.22575556, dist=   0.00020970 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=  23: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18855404)
    d(Face)/d(zle) check complete with        8 total errors (errmax=  2.0979e-04)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  2.7643e-05)
inode=   5:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18876383)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22575575)
    d(Node)/d(zle) check complete with        2 total errors (errmax=  2.0979e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[4,1]"
*********************************************************

Generating perturbed configuration with delta-zle[4,1]=   0.26382700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  39: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72646795    1.15673409    0.27075737, dist=   0.00026258 (at    1.72648467    1.15675300    0.27049601)
iface=   3, ipnt=  55: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72780231    1.15672186    0.25039267, dist=   0.00026139 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  40: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72779175    1.15672186    0.25039198, dist=   0.00026160 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  56: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72646754    1.15673409    0.27075734, dist=   0.00026258 (at    1.72648467    1.15675300    0.27049601)
    d(Face)/d(zle) check complete with        4 total errors (errmax=  2.6258e-04)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  1.7255e-05)
inode=   7:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15675300    0.25039752, dist=   0.00026383 (at    1.72781928    1.15675300    0.25039752)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15675300    0.27075983, dist=   0.00026383 (at    1.72648467    1.15675300    0.27075983)
    d(Node)/d(zle) check complete with        2 total errors (errmax=  2.6383e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "twist[1,1]"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00671660
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.2888e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  9.6940e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.2888e-05)

*********************************************************
Starting tessellation sensitivity wrt "twist[2,1]"
*********************************************************

Generating perturbed configuration with delta-twist[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.5485e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  5.2474e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  2.5485e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[3,1]"
*********************************************************

Generating perturbed configuration with delta-twist[3,1]=   0.00163500
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.7947e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  5.6276e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  2.7947e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[4,1]"
*********************************************************

Generating perturbed configuration with delta-twist[4,1]=   0.00375000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.5775e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.6790e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.5775e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "chord[1,1]"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.53618100
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64746136    0.00000438    0.28770583, dist=   0.00027620 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  36: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62811376    0.00001530    0.12332009, dist=   0.00026483 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(chord) check complete with        2 total errors (errmax=  2.7620e-04)
iedge=  11, ipnt=   0: anal=   0.64772315    0.00000000    0.28767524, ptrb=   0.64745690    0.00000000    0.28770659, dist=   0.00026809 (at    0.64771348    0.00000000    0.28759312)
iedge=  11, ipnt=  36: anal=   0.62836376   -0.00000000    0.12328768, ptrb=   0.62809751   -0.00000000    0.12331903, dist=   0.00026809 (at    0.62837343   -0.00000000    0.12336979)
    d(Edge)/d(chord) check complete with        2 total errors (errmax=  2.6809e-04)
inode=   1:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62809751   -0.00000000    0.12331903, dist=   0.00028055 (at    0.62809751   -0.00000000    0.12331903)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64745690    0.00000000    0.28770659, dist=   0.00028055 (at    0.64745690    0.00000000    0.28770659)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  2.8055e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[2,1]"
*********************************************************

Generating perturbed configuration with delta-chord[2,1]=   0.28578200
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   4, ipnt=  52: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014602 (at    1.08254107    0.42799900    0.15291345)
iface=   4, ipnt=  81: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  29: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08240056    0.42800211    0.15288559, dist=   0.00014329 (at    1.08254107    0.42799900    0.15291345)
    d(Face)/d(chord) check complete with        4 total errors (errmax=  1.4602e-04)
iedge=   1, ipnt=  16: anal=   1.08247448    0.42807127    0.15289028, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00010549 (at    1.08254107    0.42799900    0.15291345)
iedge=   3, ipnt=  16: anal=   1.08327400    0.42807188    0.21305592, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00010476 (at    1.08334230    0.42799900    0.21303665)
iedge=  12, ipnt=   0: anal=   1.08334270    0.42799900    0.21306671, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014289 (at    1.08334230    0.42799900    0.21303665)
iedge=  12, ipnt=  29: anal=   1.08254067    0.42799900    0.15288339, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014289 (at    1.08254107    0.42799900    0.15291345)
    d(Edge)/d(chord) check complete with        4 total errors (errmax=  1.4289e-04)
inode=   2:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014602 (at    1.08239780    0.42799900    0.15288530)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08319982    0.42799900    0.21306861)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  1.4602e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[3,1]"
*********************************************************

Generating perturbed configuration with delta-chord[3,1]=   0.19234400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  9.7936e-05)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  9.6172e-05)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  9.7936e-05)

*********************************************************
Starting tessellation sensitivity wrt "chord[4,1]"
*********************************************************

Generating perturbed configuration with delta-chord[4,1]=   0.10740000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  5.4661e-05)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  5.3700e-05)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  5.4661e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick[1,1]"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62836390    0.00005011    0.12284081, dist=   0.00053143 (at    0.62837343   -0.00000000    0.12336979)
iface=   1, ipnt=  32: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64779121    0.00001476    0.28812304, dist=   0.00053579 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64777599    0.00002952    0.28812401, dist=   0.00053537 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  36: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62831299    0.00010021    0.12285659, dist=   0.00052638 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(thick) check complete with        4 total errors (errmax=  5.3579e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  3.6909e-07)
inode=   1:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62831072   -0.00000000    0.12283729, dist=   0.00053618 (at    0.62831072   -0.00000000    0.12283729)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64777619    0.00000000    0.28812563, dist=   0.00053618 (at    0.64777619    0.00000000    0.28812563)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  5.3618e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[2,1]"
*********************************************************

Generating perturbed configuration with delta-thick[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  48: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   1, ipnt=  74: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253727    0.42799900    0.15262770, dist=   0.00028578 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08256380    0.42802893    0.15263051, dist=   0.00028542 (at    1.08254107    0.42799900    0.15291345)
iface=   2, ipnt=  26: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  52: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253727    0.42799900    0.15262770, dist=   0.00028578 (at    1.08254107    0.42799900    0.15291345)
iface=   4, ipnt=  81: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  29: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253731    0.42802893    0.15263087, dist=   0.00028419 (at    1.08254107    0.42799900    0.15291345)
    d(Face)/d(thick) check complete with        8 total errors (errmax=  2.8578e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  3.1933e-05)
inode=   2:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253727    0.42799900    0.15262770, dist=   0.00028578 (at    1.08253727    0.42799900    0.15262770)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334611    0.42799900    0.21332240)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  2.8578e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[3,1]"
*********************************************************

Generating perturbed configuration with delta-thick[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  43: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972544    0.22573821, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   2, ipnt=  64: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090459    0.80972700    0.18836177, dist=   0.00019234 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42092997    0.80975570    0.18836688, dist=   0.00019185 (at    1.42089910    0.80972700    0.18855404)
iface=   3, ipnt=  21: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972700    0.22573822, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  46: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090459    0.80972700    0.18836177, dist=   0.00019234 (at    1.42089910    0.80972700    0.18855404)
iface=   5, ipnt=  69: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983634    0.80972544    0.22573817, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972700    0.22573822, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=  23: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090446    0.80975570    0.18836615, dist=   0.00019014 (at    1.42089910    0.80972700    0.18855404)
    d(Face)/d(thick) check complete with        8 total errors (errmax=  1.9234e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.4958e-05)
inode=   5:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090459    0.80972700    0.18836177, dist=   0.00019234 (at    1.42090459    0.80972700    0.18836177)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972700    0.22573822, dist=   0.00019234 (at    1.41983772    0.80972700    0.22573822)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  1.9234e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[4,1]"
*********************************************************

Generating perturbed configuration with delta-thick[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  39: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647768    1.15674533    0.27060263, dist=   0.00010712 (at    1.72648467    1.15675300    0.27049601)
iface=   3, ipnt=  55: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782631    1.15675300    0.25002653, dist=   0.00010740 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  40: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782631    1.15675300    0.25002653, dist=   0.00010740 (at    1.72781928    1.15675300    0.25013370)
iface=   6, ipnt=  56: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647087    1.15674533    0.27060218, dist=   0.00010734 (at    1.72648467    1.15675300    0.27049601)
    d(Face)/d(thick) check complete with        4 total errors (errmax=  1.0740e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  9.5080e-06)
inode=   7:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782631    1.15675300    0.25002653, dist=   0.00010740 (at    1.72782631    1.15675300    0.25002653)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647764    1.15675300    0.27060318, dist=   0.00010740 (at    1.72647764    1.15675300    0.27060318)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  1.0740e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.243 sec

Sensitivity checks complete with      145 total errors (max tessel err=  1.7807e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0k.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x1" for ibody=6
    d(Face)/d(x1) check complete with        0 total errors (errmax=  1.7421e-09)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  6.1495e-10)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x1" for ibody=13
    d(Face)/d(x1) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x1" for ibody=19
    d(Face)/d(x1) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x2" for ibody=6
    d(Face)/d(x2) check complete with        0 total errors (errmax=  1.1826e-09)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  1.0893e-09)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x2" for ibody=13
    d(Face)/d(x2) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x2" for ibody=19
    d(Face)/d(x2) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x3" for ibody=6
    d(Face)/d(x3) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x3" for ibody=13
    d(Face)/d(x3) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x3" for ibody=19
    d(Face)/d(x3) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x4"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x4" for ibody=6
    d(Face)/d(x4) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x4" for ibody=13
    d(Face)/d(x4) check complete with        0 total errors (errmax=  5.1762e-10)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  1.8428e-10)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x4" for ibody=19
    d(Face)/d(x4) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x5"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x5" for ibody=6
    d(Face)/d(x5) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x5" for ibody=13
    d(Face)/d(x5) check complete with        0 total errors (errmax=  4.4254e-10)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  2.5080e-10)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  2.8756e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x5" for ibody=19
    d(Face)/d(x5) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x6"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x6" for ibody=6
    d(Face)/d(x6) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x6" for ibody=13
    d(Face)/d(x6) check complete with        0 total errors (errmax=  3.9155e-10)
    d(Edge)/d(x6) check complete with        0 total errors (errmax=  3.0431e-10)
    d(Node)/d(x6) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x6" for ibody=19
    d(Face)/d(x6) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x7"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x7" for ibody=6
    d(Face)/d(x7) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x7" for ibody=13
    d(Face)/d(x7) check complete with        0 total errors (errmax=  5.5231e-10)
    d(Edge)/d(x7) check complete with        0 total errors (errmax=  1.3132e-10)
    d(Node)/d(x7) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x7" for ibody=19
    d(Face)/d(x7) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "x8"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x8" for ibody=6
    d(Face)/d(x8) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x8" for ibody=13
    d(Face)/d(x8) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x8" for ibody=19
    d(Face)/d(x8) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(x8) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(x8) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "x9"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x9" for ibody=6
    d(Face)/d(x9) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x9" for ibody=13
    d(Face)/d(x9) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x9" for ibody=19
    d(Face)/d(x9) check complete with        0 total errors (errmax=  1.7468e-09)
    d(Edge)/d(x9) check complete with        0 total errors (errmax=  1.6366e-09)
    d(Node)/d(x9) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "x10"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "x10" for ibody=6
    d(Face)/d(x10) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "x10" for ibody=13
    d(Face)/d(x10) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "x10" for ibody=19
    d(Face)/d(x10) check complete with        0 total errors (errmax=  1.4619e-09)
    d(Edge)/d(x10) check complete with        0 total errors (errmax=  1.0893e-09)
    d(Node)/d(x10) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y1" for ibody=6
    d(Face)/d(y1) check complete with        0 total errors (errmax=  8.3239e-10)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  3.3307e-16)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y1" for ibody=13
    d(Face)/d(y1) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y1" for ibody=19
    d(Face)/d(y1) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y2" for ibody=6
    d(Face)/d(y2) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y2" for ibody=13
    d(Face)/d(y2) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y2" for ibody=19
    d(Face)/d(y2) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y3" for ibody=6
    d(Face)/d(y3) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y3" for ibody=13
    d(Face)/d(y3) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y3" for ibody=19
    d(Face)/d(y3) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y4"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y4" for ibody=6
    d(Face)/d(y4) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y4" for ibody=13
    d(Face)/d(y4) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y4" for ibody=19
    d(Face)/d(y4) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y5"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y5" for ibody=6
    d(Face)/d(y5) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y5" for ibody=13
    d(Face)/d(y5) check complete with        0 total errors (errmax=  4.4523e-07)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  4.4523e-07)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  4.8508e-26)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y5" for ibody=19
    d(Face)/d(y5) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y6"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y6" for ibody=6
    d(Face)/d(y6) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y6" for ibody=13
    d(Face)/d(y6) check complete with        0 total errors (errmax=  4.4523e-07)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  4.4523e-07)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  4.8508e-26)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y6" for ibody=19
    d(Face)/d(y6) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y7"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y7" for ibody=6
    d(Face)/d(y7) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y7" for ibody=13
    d(Face)/d(y7) check complete with        0 total errors (errmax=  4.5370e-10)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y7" for ibody=19
    d(Face)/d(y7) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y8"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y8" for ibody=6
    d(Face)/d(y8) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y8" for ibody=13
    d(Face)/d(y8) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y8" for ibody=19
    d(Face)/d(y8) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  1.0606e-27)
 

*********************************************************
Starting configuration sensitivity wrt "y9"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y9" for ibody=6
    d(Face)/d(y9) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y9" for ibody=13
    d(Face)/d(y9) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y9" for ibody=19
    d(Face)/d(y9) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  1.0606e-27)
 

*********************************************************
Starting configuration sensitivity wrt "y10"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "y10" for ibody=6
    d(Face)/d(y10) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "y10" for ibody=13
    d(Face)/d(y10) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "y10" for ibody=19
    d(Face)/d(y10) check complete with        0 total errors (errmax=  1.1724e-09)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z1" for ibody=6
    d(Face)/d(z1) check complete with        0 total errors (errmax=  8.6738e-10)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  7.4840e-11)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z1" for ibody=13
    d(Face)/d(z1) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z1" for ibody=19
    d(Face)/d(z1) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z2" for ibody=6
iface=   1, ipnt=  75 (X): anal=  -0.39520008,  fd=  -0.39547366,  err=   0.00027359 (at   -4.00000000    0.09801627    1.99034106)
iface=   1, ipnt=  75 (Z): anal=   0.19800887,  fd=   0.19814595,  err=  -0.00013708 (at   -4.00000000    0.09801627    1.99034106)
iface=   1, ipnt=  76 (X): anal=  -0.37695841,  fd=  -0.37712575,  err=   0.00016734 (at   -4.00000000    0.19509030    1.96154442)
iface=   1, ipnt= 126 (X): anal=  -0.37695841,  fd=  -0.37712575,  err=   0.00016734 (at   -4.00000000    0.19509030   -1.96154442)
iface=   1, ipnt= 127 (X): anal=  -0.39520008,  fd=  -0.39547366,  err=   0.00027359 (at   -4.00000000    0.09801627   -1.99034106)
iface=   1, ipnt= 127 (Z): anal=  -0.19800887,  fd=  -0.19814595,  err=   0.00013708 (at   -4.00000000    0.09801627   -1.99034106)
iface=   1, ipnt= 128 (X): anal=  -0.38266115,  fd=  -0.38293377,  err=   0.00027262 (at   -4.03125000    0.09497179   -1.92853107)
iface=   1, ipnt= 128 (Z): anal=  -0.19149127,  fd=  -0.19162769,  err=   0.00013642 (at   -4.03125000    0.09497179   -1.92853107)
iface=   1, ipnt= 129 (X): anal=  -0.37013997,  fd=  -0.37041013,  err=   0.00027016 (at   -4.06250000    0.09192373   -1.86664595)
iface=   1, ipnt= 129 (Z): anal=  -0.18501277,  fd=  -0.18514781,  err=   0.00013504 (at   -4.06250000    0.09192373   -1.86664595)
...too many errors to list
iface=   2, ipnt=  17 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -4.00000000    0.09801627   -1.99034106)
iface=   2, ipnt=  17 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -4.00000000    0.09801627   -1.99034106)
iface=   2, ipnt=  18 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -4.00000000    0.19509030   -1.96154442)
iface=   2, ipnt=  18 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -4.00000000    0.19509030   -1.96154442)
iface=   2, ipnt=  20 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -4.00000000    0.38267602   -1.84773118)
iface=   2, ipnt=  66 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -4.00000000    0.38267602    1.84773118)
iface=   2, ipnt=  68 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -4.00000000    0.19509030    1.96154442)
iface=   2, ipnt=  68 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -4.00000000    0.19509030    1.96154442)
iface=   2, ipnt=  69 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -4.00000000    0.09801627    1.99034106)
iface=   2, ipnt=  69 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -4.00000000    0.09801627    1.99034106)
...too many errors to list
iface=   3, ipnt=  75 (X): anal=  -0.39520008,  fd=  -0.39547366,  err=   0.00027359 (at   -4.00000000   -0.09801627   -1.99034106)
iface=   3, ipnt=  75 (Z): anal=  -0.19800887,  fd=  -0.19814595,  err=   0.00013708 (at   -4.00000000   -0.09801627   -1.99034106)
iface=   3, ipnt=  76 (X): anal=  -0.37695841,  fd=  -0.37712575,  err=   0.00016734 (at   -4.00000000   -0.19509030   -1.96154442)
iface=   3, ipnt= 126 (X): anal=  -0.37695841,  fd=  -0.37712575,  err=   0.00016734 (at   -4.00000000   -0.19509030    1.96154442)
iface=   3, ipnt= 127 (X): anal=  -0.39520008,  fd=  -0.39547366,  err=   0.00027359 (at   -4.00000000   -0.09801627    1.99034106)
iface=   3, ipnt= 127 (Z): anal=   0.19800887,  fd=   0.19814595,  err=  -0.00013708 (at   -4.00000000   -0.09801627    1.99034106)
iface=   3, ipnt= 128 (X): anal=  -0.38266115,  fd=  -0.38293377,  err=   0.00027262 (at   -4.03125000   -0.09497179    1.92853107)
iface=   3, ipnt= 128 (Z): anal=   0.19149127,  fd=   0.19162769,  err=  -0.00013642 (at   -4.03125000   -0.09497179    1.92853107)
iface=   3, ipnt= 129 (X): anal=  -0.37013997,  fd=  -0.37041013,  err=   0.00027016 (at   -4.06250000   -0.09192373    1.86664595)
iface=   3, ipnt= 129 (Z): anal=   0.18501277,  fd=   0.18514781,  err=  -0.00013504 (at   -4.06250000   -0.09192373    1.86664595)
...too many errors to list
iface=   4, ipnt=  17 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -4.00000000   -0.09801627    1.99034106)
iface=   4, ipnt=  17 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -4.00000000   -0.09801627    1.99034106)
iface=   4, ipnt=  18 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -4.00000000   -0.19509030    1.96154442)
iface=   4, ipnt=  18 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -4.00000000   -0.19509030    1.96154442)
iface=   4, ipnt=  20 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -4.00000000   -0.38267602    1.84773118)
iface=   4, ipnt=  66 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -4.00000000   -0.38267602   -1.84773118)
iface=   4, ipnt=  68 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -4.00000000   -0.19509030   -1.96154442)
iface=   4, ipnt=  68 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -4.00000000   -0.19509030   -1.96154442)
iface=   4, ipnt=  69 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -4.00000000   -0.09801627   -1.99034106)
iface=   4, ipnt=  69 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -4.00000000   -0.09801627   -1.99034106)
...too many errors to list
    d(Face)/d(z2) check complete with      336 total errors (errmax=  6.6267e-04)
iedge=   4, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -4.00000000    0.09801627   -1.99034106)
iedge=   4, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -4.00000000    0.09801627   -1.99034106)
iedge=   4, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -4.00000000    0.19509030   -1.96154442)
iedge=   4, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -4.00000000    0.19509030   -1.96154442)
iedge=   4, ipnt=   4 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -4.00000000    0.38267602   -1.84773118)
iedge=   4, ipnt=  50 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -4.00000000    0.38267602    1.84773118)
iedge=   4, ipnt=  52 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -4.00000000    0.19509030    1.96154442)
iedge=   4, ipnt=  52 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -4.00000000    0.19509030    1.96154442)
iedge=   4, ipnt=  53 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -4.00000000    0.09801627    1.99034106)
iedge=   4, ipnt=  53 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -4.00000000    0.09801627    1.99034106)
iedge=   9, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -4.00000000   -0.09801627    1.99034106)
iedge=   9, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -4.00000000   -0.09801627    1.99034106)
iedge=   9, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -4.00000000   -0.19509030    1.96154442)
iedge=   9, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -4.00000000   -0.19509030    1.96154442)
iedge=   9, ipnt=   4 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -4.00000000   -0.38267602    1.84773118)
iedge=   9, ipnt=  50 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -4.00000000   -0.38267602   -1.84773118)
iedge=   9, ipnt=  52 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -4.00000000   -0.19509030   -1.96154442)
iedge=   9, ipnt=  52 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -4.00000000   -0.19509030   -1.96154442)
iedge=   9, ipnt=  53 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -4.00000000   -0.09801627   -1.99034106)
iedge=   9, ipnt=  53 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -4.00000000   -0.09801627   -1.99034106)
    d(Edge)/d(z2) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z2" for ibody=13
    d(Face)/d(z2) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z2" for ibody=19
    d(Face)/d(z2) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z3"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z3" for ibody=6
iface=   2, ipnt=  87 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -3.00000000    0.09801627    1.99034106)
iface=   2, ipnt=  87 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -3.00000000    0.09801627    1.99034106)
iface=   2, ipnt=  88 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -3.00000000    0.19509030    1.96154442)
iface=   2, ipnt=  88 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -3.00000000    0.19509030    1.96154442)
iface=   2, ipnt=  90 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -3.00000000    0.38267602    1.84773118)
iface=   2, ipnt= 136 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -3.00000000    0.38267602   -1.84773118)
iface=   2, ipnt= 138 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -3.00000000    0.19509030   -1.96154442)
iface=   2, ipnt= 138 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -3.00000000    0.19509030   -1.96154442)
iface=   2, ipnt= 139 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -3.00000000    0.09801627   -1.99034106)
iface=   2, ipnt= 139 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -3.00000000    0.09801627   -1.99034106)
...too many errors to list
iface=   4, ipnt=  87 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -3.00000000   -0.09801627   -1.99034106)
iface=   4, ipnt=  87 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -3.00000000   -0.09801627   -1.99034106)
iface=   4, ipnt=  88 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -3.00000000   -0.19509030   -1.96154442)
iface=   4, ipnt=  88 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -3.00000000   -0.19509030   -1.96154442)
iface=   4, ipnt=  90 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -3.00000000   -0.38267602   -1.84773118)
iface=   4, ipnt= 136 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -3.00000000   -0.38267602    1.84773118)
iface=   4, ipnt= 138 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -3.00000000   -0.19509030    1.96154442)
iface=   4, ipnt= 138 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -3.00000000   -0.19509030    1.96154442)
iface=   4, ipnt= 139 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -3.00000000   -0.09801627    1.99034106)
iface=   4, ipnt= 139 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -3.00000000   -0.09801627    1.99034106)
...too many errors to list
    d(Face)/d(z3) check complete with      160 total errors (errmax=  6.6267e-04)
iedge=   7, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -3.00000000    0.09801627   -1.99034106)
iedge=   7, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -3.00000000    0.09801627   -1.99034106)
iedge=   7, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -3.00000000    0.19509030   -1.96154442)
iedge=   7, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -3.00000000    0.19509030   -1.96154442)
iedge=   7, ipnt=   4 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -3.00000000    0.38267602   -1.84773118)
iedge=   7, ipnt=  50 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -3.00000000    0.38267602    1.84773118)
iedge=   7, ipnt=  52 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at   -3.00000000    0.19509030    1.96154442)
iedge=   7, ipnt=  52 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -3.00000000    0.19509030    1.96154442)
iedge=   7, ipnt=  53 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at   -3.00000000    0.09801627    1.99034106)
iedge=   7, ipnt=  53 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -3.00000000    0.09801627    1.99034106)
iedge=  10, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -3.00000000   -0.09801627    1.99034106)
iedge=  10, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at   -3.00000000   -0.09801627    1.99034106)
iedge=  10, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -3.00000000   -0.19509030    1.96154442)
iedge=  10, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at   -3.00000000   -0.19509030    1.96154442)
iedge=  10, ipnt=   4 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at   -3.00000000   -0.38267602    1.84773118)
iedge=  10, ipnt=  50 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at   -3.00000000   -0.38267602   -1.84773118)
iedge=  10, ipnt=  52 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at   -3.00000000   -0.19509030   -1.96154442)
iedge=  10, ipnt=  52 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at   -3.00000000   -0.19509030   -1.96154442)
iedge=  10, ipnt=  53 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at   -3.00000000   -0.09801627   -1.99034106)
iedge=  10, ipnt=  53 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at   -3.00000000   -0.09801627   -1.99034106)
    d(Edge)/d(z3) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z3" for ibody=13
    d(Face)/d(z3) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z3" for ibody=19
    d(Face)/d(z3) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z4"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z4" for ibody=6
    d(Face)/d(z4) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z4" for ibody=13
    d(Face)/d(z4) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z4) check complete with        0 total errors (errmax=  6.1426e-11)
    d(Node)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z4" for ibody=19
    d(Face)/d(z4) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z5"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z5" for ibody=6
    d(Face)/d(z5) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z5" for ibody=13
iface=   1, ipnt=  39 (X): anal=  -0.49898524,  fd=  -0.49923886,  err=   0.00025363 (at   -1.00000000    0.09813460    0.99878982)
iface=   1, ipnt=  39 (Z): anal=   0.50091602,  fd=   0.50117063,  err=  -0.00025461 (at   -1.00000000    0.09813460    0.99878982)
iface=   1, ipnt=  40 (X): anal=  -0.49663481,  fd=  -0.49697862,  err=   0.00034381 (at   -1.00000000    0.19603255    0.99517053)
iface=   1, ipnt=  40 (Z): anal=   0.49766235,  fd=   0.49800687,  err=  -0.00034452 (at   -1.00000000    0.19603255    0.99517053)
iface=   1, ipnt=  41 (X): anal=  -0.49290811,  fd=  -0.49322427,  err=   0.00031616 (at   -1.00000000    0.29345937    0.98915903)
iface=   1, ipnt=  41 (Z): anal=   0.49068291,  fd=   0.49099764,  err=  -0.00031474 (at   -1.00000000    0.29345937    0.98915903)
iface=   1, ipnt=  42 (X): anal=  -0.48774103,  fd=  -0.48795755,  err=   0.00021652 (at   -1.00000000    0.39018060    0.98077221)
iface=   1, ipnt=  42 (Z): anal=   0.48046596,  fd=   0.48067925,  err=  -0.00021329 (at   -1.00000000    0.39018060    0.98077221)
iface=   1, ipnt=  84 (X): anal=  -0.48774103,  fd=  -0.48795755,  err=   0.00021652 (at   -1.00000000    0.39018060   -0.98077221)
iface=   1, ipnt=  84 (Z): anal=  -0.48046596,  fd=  -0.48067925,  err=   0.00021329 (at   -1.00000000    0.39018060   -0.98077221)
...too many errors to list
iface=   2, ipnt=  17 (Z): anal=  -0.99767595,  fd=  -0.99818306,  err=   0.00050711 (at   -1.00000000    0.09813460   -0.99878982)
iface=   2, ipnt=  18 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -1.00000000    0.19603255   -0.99517053)
iface=   2, ipnt=  19 (Z): anal=  -0.98311800,  fd=  -0.98374860,  err=   0.00063060 (at   -1.00000000    0.29345937   -0.98915903)
iface=   2, ipnt=  20 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -1.00000000    0.39018060   -0.98077221)
iface=   2, ipnt=  21 (Z): anal=  -0.95488713,  fd=  -0.95506710,  err=   0.00017997 (at   -1.00000000    0.48596176   -0.97002695)
iface=   2, ipnt=  23 (Z): anal=  -0.91244910,  fd=  -0.91230320,  err=  -0.00014590 (at   -1.00000000    0.67377107   -0.94153762)
iface=   2, ipnt=  24 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -1.00000000    0.76535204   -0.92386559)
iface=   2, ipnt=  25 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at   -1.00000000    0.85509527   -0.90397340)
iface=   2, ipnt=  57 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at   -1.00000000    0.85509527    0.90397340)
iface=   2, ipnt=  58 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -1.00000000    0.76535204    0.92386559)
...too many errors to list
iface=   4, ipnt=  39 (X): anal=  -0.49898524,  fd=  -0.49923886,  err=   0.00025363 (at   -1.00000000   -0.09813460   -0.99878982)
iface=   4, ipnt=  39 (Z): anal=  -0.50091602,  fd=  -0.50117063,  err=   0.00025461 (at   -1.00000000   -0.09813460   -0.99878982)
iface=   4, ipnt=  40 (X): anal=  -0.49663481,  fd=  -0.49697862,  err=   0.00034381 (at   -1.00000000   -0.19603255   -0.99517053)
iface=   4, ipnt=  40 (Z): anal=  -0.49766235,  fd=  -0.49800687,  err=   0.00034452 (at   -1.00000000   -0.19603255   -0.99517053)
iface=   4, ipnt=  41 (X): anal=  -0.49290811,  fd=  -0.49322427,  err=   0.00031616 (at   -1.00000000   -0.29345937   -0.98915903)
iface=   4, ipnt=  41 (Z): anal=  -0.49068291,  fd=  -0.49099764,  err=   0.00031474 (at   -1.00000000   -0.29345937   -0.98915903)
iface=   4, ipnt=  42 (X): anal=  -0.48774103,  fd=  -0.48795755,  err=   0.00021652 (at   -1.00000000   -0.39018060   -0.98077221)
iface=   4, ipnt=  42 (Z): anal=  -0.48046596,  fd=  -0.48067925,  err=   0.00021329 (at   -1.00000000   -0.39018060   -0.98077221)
iface=   4, ipnt=  84 (X): anal=  -0.48774103,  fd=  -0.48795755,  err=   0.00021652 (at   -1.00000000   -0.39018060    0.98077221)
iface=   4, ipnt=  84 (Z): anal=   0.48046596,  fd=   0.48067925,  err=  -0.00021329 (at   -1.00000000   -0.39018060    0.98077221)
...too many errors to list
iface=   5, ipnt=  17 (Z): anal=   0.99767595,  fd=   0.99818306,  err=  -0.00050711 (at   -1.00000000   -0.09813460    0.99878982)
iface=   5, ipnt=  18 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -1.00000000   -0.19603255    0.99517053)
iface=   5, ipnt=  19 (Z): anal=   0.98311800,  fd=   0.98374860,  err=  -0.00063060 (at   -1.00000000   -0.29345937    0.98915903)
iface=   5, ipnt=  20 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -1.00000000   -0.39018060    0.98077221)
iface=   5, ipnt=  21 (Z): anal=   0.95488713,  fd=   0.95506710,  err=  -0.00017997 (at   -1.00000000   -0.48596176    0.97002695)
iface=   5, ipnt=  23 (Z): anal=   0.91244910,  fd=   0.91230320,  err=   0.00014590 (at   -1.00000000   -0.67377107    0.94153762)
iface=   5, ipnt=  24 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -1.00000000   -0.76535204    0.92386559)
iface=   5, ipnt=  25 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at   -1.00000000   -0.85509527    0.90397340)
iface=   5, ipnt=  57 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at   -1.00000000   -0.85509527   -0.90397340)
iface=   5, ipnt=  58 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -1.00000000   -0.76535204   -0.92386559)
...too many errors to list
    d(Face)/d(z5) check complete with      632 total errors (errmax=  6.8678e-04)
iedge=   4, ipnt=   1 (Z): anal=  -0.99767595,  fd=  -0.99818306,  err=   0.00050711 (at   -1.00000000    0.09813460   -0.99878982)
iedge=   4, ipnt=   2 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -1.00000000    0.19603255   -0.99517053)
iedge=   4, ipnt=   3 (Z): anal=  -0.98311800,  fd=  -0.98374860,  err=   0.00063060 (at   -1.00000000    0.29345937   -0.98915903)
iedge=   4, ipnt=   4 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -1.00000000    0.39018060   -0.98077221)
iedge=   4, ipnt=   5 (Z): anal=  -0.95488713,  fd=  -0.95506710,  err=   0.00017997 (at   -1.00000000    0.48596176   -0.97002695)
iedge=   4, ipnt=   7 (Z): anal=  -0.91244910,  fd=  -0.91230320,  err=  -0.00014590 (at   -1.00000000    0.67377107   -0.94153762)
iedge=   4, ipnt=   8 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -1.00000000    0.76535204   -0.92386559)
iedge=   4, ipnt=   9 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at   -1.00000000    0.85509527   -0.90397340)
iedge=   4, ipnt=  41 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at   -1.00000000    0.85509527    0.90397340)
iedge=   4, ipnt=  42 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -1.00000000    0.76535204    0.92386559)
...too many errors to list
iedge=  12, ipnt=   1 (Z): anal=   0.99767595,  fd=   0.99818306,  err=  -0.00050711 (at   -1.00000000   -0.09813460    0.99878982)
iedge=  12, ipnt=   2 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -1.00000000   -0.19603255    0.99517053)
iedge=  12, ipnt=   3 (Z): anal=   0.98311800,  fd=   0.98374860,  err=  -0.00063060 (at   -1.00000000   -0.29345937    0.98915903)
iedge=  12, ipnt=   4 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -1.00000000   -0.39018060    0.98077221)
iedge=  12, ipnt=   5 (Z): anal=   0.95488713,  fd=   0.95506710,  err=  -0.00017997 (at   -1.00000000   -0.48596176    0.97002695)
iedge=  12, ipnt=   7 (Z): anal=   0.91244910,  fd=   0.91230320,  err=   0.00014590 (at   -1.00000000   -0.67377107    0.94153762)
iedge=  12, ipnt=   8 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -1.00000000   -0.76535204    0.92386559)
iedge=  12, ipnt=   9 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at   -1.00000000   -0.85509527    0.90397340)
iedge=  12, ipnt=  41 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at   -1.00000000   -0.85509527   -0.90397340)
iedge=  12, ipnt=  42 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -1.00000000   -0.76535204   -0.92386559)
...too many errors to list
    d(Edge)/d(z5) check complete with       32 total errors (errmax=  6.8678e-04)
    d(Node)/d(z5) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z5" for ibody=19
    d(Face)/d(z5) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z6"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z6" for ibody=6
    d(Face)/d(z6) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z6" for ibody=13
iface=   2, ipnt=  83 (Z): anal=   0.99767595,  fd=   0.99818306,  err=  -0.00050711 (at    1.00000000    0.09813460    0.99878982)
iface=   2, ipnt=  84 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at    1.00000000    0.19603255    0.99517053)
iface=   2, ipnt=  85 (Z): anal=   0.98311800,  fd=   0.98374860,  err=  -0.00063060 (at    1.00000000    0.29345937    0.98915903)
iface=   2, ipnt=  86 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at    1.00000000    0.39018060    0.98077221)
iface=   2, ipnt=  87 (Z): anal=   0.95488713,  fd=   0.95506710,  err=  -0.00017997 (at    1.00000000    0.48596176    0.97002695)
iface=   2, ipnt=  89 (Z): anal=   0.91244910,  fd=   0.91230321,  err=   0.00014590 (at    1.00000000    0.67377107    0.94153762)
iface=   2, ipnt=  90 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at    1.00000000    0.76535204    0.92386559)
iface=   2, ipnt=  91 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at    1.00000000    0.85509527    0.90397340)
iface=   2, ipnt= 123 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at    1.00000000    0.85509527   -0.90397340)
iface=   2, ipnt= 124 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at    1.00000000    0.76535204   -0.92386559)
...too many errors to list
iface=   3, ipnt=  20 (X): anal=   0.49898524,  fd=   0.49923886,  err=  -0.00025363 (at    1.00000000    0.09813460   -0.99878982)
iface=   3, ipnt=  20 (Z): anal=  -0.50091602,  fd=  -0.50117063,  err=   0.00025461 (at    1.00000000    0.09813460   -0.99878982)
iface=   3, ipnt=  21 (X): anal=   0.49663481,  fd=   0.49697862,  err=  -0.00034381 (at    1.00000000    0.19603255   -0.99517053)
iface=   3, ipnt=  21 (Z): anal=  -0.49766235,  fd=  -0.49800687,  err=   0.00034452 (at    1.00000000    0.19603255   -0.99517053)
iface=   3, ipnt=  22 (X): anal=   0.49290811,  fd=   0.49322427,  err=  -0.00031616 (at    1.00000000    0.29345937   -0.98915903)
iface=   3, ipnt=  22 (Z): anal=  -0.49068291,  fd=  -0.49099764,  err=   0.00031474 (at    1.00000000    0.29345937   -0.98915903)
iface=   3, ipnt=  23 (X): anal=   0.48774103,  fd=   0.48795755,  err=  -0.00021652 (at    1.00000000    0.39018060   -0.98077221)
iface=   3, ipnt=  23 (Z): anal=  -0.48046596,  fd=  -0.48067925,  err=   0.00021329 (at    1.00000000    0.39018060   -0.98077221)
iface=   3, ipnt=  65 (X): anal=   0.48774103,  fd=   0.48795755,  err=  -0.00021652 (at    1.00000000    0.39018060    0.98077221)
iface=   3, ipnt=  65 (Z): anal=   0.48046596,  fd=   0.48067925,  err=  -0.00021329 (at    1.00000000    0.39018060    0.98077221)
...too many errors to list
iface=   5, ipnt=  83 (Z): anal=  -0.99767595,  fd=  -0.99818306,  err=   0.00050711 (at    1.00000000   -0.09813460   -0.99878982)
iface=   5, ipnt=  84 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at    1.00000000   -0.19603255   -0.99517053)
iface=   5, ipnt=  85 (Z): anal=  -0.98311800,  fd=  -0.98374860,  err=   0.00063060 (at    1.00000000   -0.29345937   -0.98915903)
iface=   5, ipnt=  86 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at    1.00000000   -0.39018060   -0.98077221)
iface=   5, ipnt=  87 (Z): anal=  -0.95488713,  fd=  -0.95506710,  err=   0.00017997 (at    1.00000000   -0.48596176   -0.97002695)
iface=   5, ipnt=  89 (Z): anal=  -0.91244910,  fd=  -0.91230321,  err=  -0.00014590 (at    1.00000000   -0.67377107   -0.94153762)
iface=   5, ipnt=  90 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at    1.00000000   -0.76535204   -0.92386559)
iface=   5, ipnt=  91 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at    1.00000000   -0.85509527   -0.90397340)
iface=   5, ipnt= 123 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at    1.00000000   -0.85509527    0.90397340)
iface=   5, ipnt= 124 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at    1.00000000   -0.76535204    0.92386559)
...too many errors to list
iface=   6, ipnt=  20 (X): anal=   0.49898524,  fd=   0.49923886,  err=  -0.00025363 (at    1.00000000   -0.09813460    0.99878982)
iface=   6, ipnt=  20 (Z): anal=   0.50091602,  fd=   0.50117063,  err=  -0.00025461 (at    1.00000000   -0.09813460    0.99878982)
iface=   6, ipnt=  21 (X): anal=   0.49663481,  fd=   0.49697862,  err=  -0.00034381 (at    1.00000000   -0.19603255    0.99517053)
iface=   6, ipnt=  21 (Z): anal=   0.49766235,  fd=   0.49800687,  err=  -0.00034452 (at    1.00000000   -0.19603255    0.99517053)
iface=   6, ipnt=  22 (X): anal=   0.49290811,  fd=   0.49322427,  err=  -0.00031616 (at    1.00000000   -0.29345937    0.98915903)
iface=   6, ipnt=  22 (Z): anal=   0.49068291,  fd=   0.49099764,  err=  -0.00031474 (at    1.00000000   -0.29345937    0.98915903)
iface=   6, ipnt=  23 (X): anal=   0.48774103,  fd=   0.48795755,  err=  -0.00021652 (at    1.00000000   -0.39018060    0.98077221)
iface=   6, ipnt=  23 (Z): anal=   0.48046596,  fd=   0.48067925,  err=  -0.00021329 (at    1.00000000   -0.39018060    0.98077221)
iface=   6, ipnt=  65 (X): anal=   0.48774103,  fd=   0.48795755,  err=  -0.00021652 (at    1.00000000   -0.39018060   -0.98077221)
iface=   6, ipnt=  65 (Z): anal=  -0.48046596,  fd=  -0.48067925,  err=   0.00021329 (at    1.00000000   -0.39018060   -0.98077221)
...too many errors to list
    d(Face)/d(z6) check complete with      632 total errors (errmax=  6.8678e-04)
iedge=   7, ipnt=   1 (Z): anal=  -0.99767595,  fd=  -0.99818306,  err=   0.00050711 (at    1.00000000    0.09813460   -0.99878982)
iedge=   7, ipnt=   2 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at    1.00000000    0.19603255   -0.99517053)
iedge=   7, ipnt=   3 (Z): anal=  -0.98311800,  fd=  -0.98374860,  err=   0.00063060 (at    1.00000000    0.29345937   -0.98915903)
iedge=   7, ipnt=   4 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at    1.00000000    0.39018060   -0.98077221)
iedge=   7, ipnt=   5 (Z): anal=  -0.95488713,  fd=  -0.95506710,  err=   0.00017997 (at    1.00000000    0.48596176   -0.97002695)
iedge=   7, ipnt=   7 (Z): anal=  -0.91244910,  fd=  -0.91230320,  err=  -0.00014590 (at    1.00000000    0.67377107   -0.94153762)
iedge=   7, ipnt=   8 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at    1.00000000    0.76535204   -0.92386559)
iedge=   7, ipnt=   9 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at    1.00000000    0.85509527   -0.90397340)
iedge=   7, ipnt=  41 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at    1.00000000    0.85509527    0.90397340)
iedge=   7, ipnt=  42 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at    1.00000000    0.76535204    0.92386559)
...too many errors to list
iedge=  13, ipnt=   1 (Z): anal=   0.99767595,  fd=   0.99818306,  err=  -0.00050711 (at    1.00000000   -0.09813460    0.99878982)
iedge=  13, ipnt=   2 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at    1.00000000   -0.19603255    0.99517053)
iedge=  13, ipnt=   3 (Z): anal=   0.98311800,  fd=   0.98374860,  err=  -0.00063060 (at    1.00000000   -0.29345937    0.98915903)
iedge=  13, ipnt=   4 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at    1.00000000   -0.39018060    0.98077221)
iedge=  13, ipnt=   5 (Z): anal=   0.95488713,  fd=   0.95506710,  err=  -0.00017997 (at    1.00000000   -0.48596176    0.97002695)
iedge=  13, ipnt=   7 (Z): anal=   0.91244910,  fd=   0.91230320,  err=   0.00014590 (at    1.00000000   -0.67377107    0.94153762)
iedge=  13, ipnt=   8 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at    1.00000000   -0.76535204    0.92386559)
iedge=  13, ipnt=   9 (Z): anal=   0.85626184,  fd=   0.85610807,  err=   0.00015377 (at    1.00000000   -0.85509527    0.90397340)
iedge=  13, ipnt=  41 (Z): anal=  -0.85626184,  fd=  -0.85610807,  err=  -0.00015377 (at    1.00000000   -0.85509527   -0.90397340)
iedge=  13, ipnt=  42 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at    1.00000000   -0.76535204   -0.92386559)
...too many errors to list
    d(Edge)/d(z6) check complete with       32 total errors (errmax=  6.8678e-04)
    d(Node)/d(z6) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z6" for ibody=19
    d(Face)/d(z6) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z7"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z7" for ibody=6
    d(Face)/d(z7) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z7" for ibody=13
    d(Face)/d(z7) check complete with        0 total errors (errmax=  4.3727e-10)
    d(Edge)/d(z7) check complete with        0 total errors (errmax=  9.3550e-11)
    d(Node)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z7" for ibody=19
    d(Face)/d(z7) check complete with        0 total errors (errmax=  1.1579e-09)
    d(Edge)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z8"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z8" for ibody=6
    d(Face)/d(z8) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z8" for ibody=13
    d(Face)/d(z8) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z8" for ibody=19
iface=   1, ipnt=  17 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.09801627   -1.99034106)
iface=   1, ipnt=  17 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000    0.09801627   -1.99034106)
iface=   1, ipnt=  18 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.19509030   -1.96154442)
iface=   1, ipnt=  18 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000    0.19509030   -1.96154442)
iface=   1, ipnt=  20 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000    0.38267602   -1.84773118)
iface=   1, ipnt=  66 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000    0.38267602    1.84773118)
iface=   1, ipnt=  68 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.19509030    1.96154442)
iface=   1, ipnt=  68 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000    0.19509030    1.96154442)
iface=   1, ipnt=  69 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.09801627    1.99034106)
iface=   1, ipnt=  69 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000    0.09801627    1.99034106)
...too many errors to list
iface=   3, ipnt=  17 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.09801627    1.99034106)
iface=   3, ipnt=  17 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000   -0.09801627    1.99034106)
iface=   3, ipnt=  18 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.19509030    1.96154442)
iface=   3, ipnt=  18 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000   -0.19509030    1.96154442)
iface=   3, ipnt=  20 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000   -0.38267602    1.84773118)
iface=   3, ipnt=  66 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000   -0.38267602   -1.84773118)
iface=   3, ipnt=  68 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.19509030   -1.96154442)
iface=   3, ipnt=  68 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000   -0.19509030   -1.96154442)
iface=   3, ipnt=  69 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.09801627   -1.99034106)
iface=   3, ipnt=  69 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000   -0.09801627   -1.99034106)
...too many errors to list
    d(Face)/d(z8) check complete with      160 total errors (errmax=  6.6267e-04)
iedge=   2, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.09801627   -1.99034106)
iedge=   2, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000    0.09801627   -1.99034106)
iedge=   2, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.19509030   -1.96154442)
iedge=   2, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000    0.19509030   -1.96154442)
iedge=   2, ipnt=   4 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000    0.38267602   -1.84773118)
iedge=   2, ipnt=  50 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000    0.38267602    1.84773118)
iedge=   2, ipnt=  52 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.19509030    1.96154442)
iedge=   2, ipnt=  52 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000    0.19509030    1.96154442)
iedge=   2, ipnt=  53 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.09801627    1.99034106)
iedge=   2, ipnt=  53 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000    0.09801627    1.99034106)
iedge=   8, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.09801627    1.99034106)
iedge=   8, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000   -0.09801627    1.99034106)
iedge=   8, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.19509030    1.96154442)
iedge=   8, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000   -0.19509030    1.96154442)
iedge=   8, ipnt=   4 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000   -0.38267602    1.84773118)
iedge=   8, ipnt=  50 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000   -0.38267602   -1.84773118)
iedge=   8, ipnt=  52 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.19509030   -1.96154442)
iedge=   8, ipnt=  52 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000   -0.19509030   -1.96154442)
iedge=   8, ipnt=  53 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.09801627   -1.99034106)
iedge=   8, ipnt=  53 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000   -0.09801627   -1.99034106)
    d(Edge)/d(z8) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(z8) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "z9"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z9" for ibody=6
    d(Face)/d(z9) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z9" for ibody=13
    d(Face)/d(z9) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z9" for ibody=19
iface=   1, ipnt=  87 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    4.00000000    0.09801627    1.99034106)
iface=   1, ipnt=  87 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    4.00000000    0.09801627    1.99034106)
iface=   1, ipnt=  88 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    4.00000000    0.19509030    1.96154442)
iface=   1, ipnt=  88 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    4.00000000    0.19509030    1.96154442)
iface=   1, ipnt=  90 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    4.00000000    0.38267602    1.84773118)
iface=   1, ipnt= 136 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    4.00000000    0.38267602   -1.84773118)
iface=   1, ipnt= 138 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    4.00000000    0.19509030   -1.96154442)
iface=   1, ipnt= 138 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    4.00000000    0.19509030   -1.96154442)
iface=   1, ipnt= 139 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    4.00000000    0.09801627   -1.99034106)
iface=   1, ipnt= 139 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    4.00000000    0.09801627   -1.99034106)
...too many errors to list
iface=   2, ipnt=  38 (X): anal=   0.39520008,  fd=   0.39547366,  err=  -0.00027359 (at    4.00000000    0.09801627   -1.99034106)
iface=   2, ipnt=  38 (Z): anal=  -0.19800887,  fd=  -0.19814595,  err=   0.00013708 (at    4.00000000    0.09801627   -1.99034106)
iface=   2, ipnt=  39 (X): anal=   0.37695841,  fd=   0.37712575,  err=  -0.00016734 (at    4.00000000    0.19509030   -1.96154442)
iface=   2, ipnt=  89 (X): anal=   0.37695841,  fd=   0.37712575,  err=  -0.00016734 (at    4.00000000    0.19509030    1.96154442)
iface=   2, ipnt=  90 (X): anal=   0.39520008,  fd=   0.39547366,  err=  -0.00027359 (at    4.00000000    0.09801627    1.99034106)
iface=   2, ipnt=  90 (Z): anal=   0.19800887,  fd=   0.19814595,  err=  -0.00013708 (at    4.00000000    0.09801627    1.99034106)
iface=   2, ipnt=1082 (X): anal=   0.17176706,  fd=   0.17187766,  err=  -0.00011060 (at    4.56250000    0.04286204    0.87035350)
iface=   2, ipnt=1134 (X): anal=   0.17176706,  fd=   0.17187766,  err=  -0.00011060 (at    4.56250000    0.04286204   -0.87035350)
iface=   2, ipnt=1135 (X): anal=   0.18407965,  fd=   0.18420288,  err=  -0.00012323 (at    4.53125000    0.04593497    0.93275951)
iface=   2, ipnt=1187 (X): anal=   0.18407965,  fd=   0.18420288,  err=  -0.00012323 (at    4.53125000    0.04593497   -0.93275951)
...too many errors to list
iface=   3, ipnt=  87 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    4.00000000   -0.09801627   -1.99034106)
iface=   3, ipnt=  87 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    4.00000000   -0.09801627   -1.99034106)
iface=   3, ipnt=  88 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    4.00000000   -0.19509030   -1.96154442)
iface=   3, ipnt=  88 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    4.00000000   -0.19509030   -1.96154442)
iface=   3, ipnt=  90 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    4.00000000   -0.38267602   -1.84773118)
iface=   3, ipnt= 136 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    4.00000000   -0.38267602    1.84773118)
iface=   3, ipnt= 138 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    4.00000000   -0.19509030    1.96154442)
iface=   3, ipnt= 138 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    4.00000000   -0.19509030    1.96154442)
iface=   3, ipnt= 139 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    4.00000000   -0.09801627    1.99034106)
iface=   3, ipnt= 139 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    4.00000000   -0.09801627    1.99034106)
...too many errors to list
iface=   4, ipnt=  38 (X): anal=   0.39520008,  fd=   0.39547366,  err=  -0.00027359 (at    4.00000000   -0.09801627    1.99034106)
iface=   4, ipnt=  38 (Z): anal=   0.19800887,  fd=   0.19814595,  err=  -0.00013708 (at    4.00000000   -0.09801627    1.99034106)
iface=   4, ipnt=  39 (X): anal=   0.37695841,  fd=   0.37712575,  err=  -0.00016734 (at    4.00000000   -0.19509030    1.96154442)
iface=   4, ipnt=  89 (X): anal=   0.37695841,  fd=   0.37712575,  err=  -0.00016734 (at    4.00000000   -0.19509030   -1.96154442)
iface=   4, ipnt=  90 (X): anal=   0.39520008,  fd=   0.39547366,  err=  -0.00027359 (at    4.00000000   -0.09801627   -1.99034106)
iface=   4, ipnt=  90 (Z): anal=  -0.19800887,  fd=  -0.19814595,  err=   0.00013708 (at    4.00000000   -0.09801627   -1.99034106)
iface=   4, ipnt=1082 (X): anal=   0.17176706,  fd=   0.17187766,  err=  -0.00011060 (at    4.56250000   -0.04286204   -0.87035350)
iface=   4, ipnt=1134 (X): anal=   0.17176706,  fd=   0.17187766,  err=  -0.00011060 (at    4.56250000   -0.04286204    0.87035350)
iface=   4, ipnt=1135 (X): anal=   0.18407965,  fd=   0.18420288,  err=  -0.00012323 (at    4.53125000   -0.04593497   -0.93275951)
iface=   4, ipnt=1187 (X): anal=   0.18407965,  fd=   0.18420288,  err=  -0.00012323 (at    4.53125000   -0.04593497    0.93275951)
...too many errors to list
    d(Face)/d(z9) check complete with      336 total errors (errmax=  6.6267e-04)
iedge=   4, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    4.00000000    0.09801627   -1.99034106)
iedge=   4, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    4.00000000    0.09801627   -1.99034106)
iedge=   4, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    4.00000000    0.19509030   -1.96154442)
iedge=   4, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    4.00000000    0.19509030   -1.96154442)
iedge=   4, ipnt=   4 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    4.00000000    0.38267602   -1.84773118)
iedge=   4, ipnt=  50 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    4.00000000    0.38267602    1.84773118)
iedge=   4, ipnt=  52 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    4.00000000    0.19509030    1.96154442)
iedge=   4, ipnt=  52 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    4.00000000    0.19509030    1.96154442)
iedge=   4, ipnt=  53 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    4.00000000    0.09801627    1.99034106)
iedge=   4, ipnt=  53 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    4.00000000    0.09801627    1.99034106)
iedge=   9, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    4.00000000   -0.09801627    1.99034106)
iedge=   9, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    4.00000000   -0.09801627    1.99034106)
iedge=   9, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    4.00000000   -0.19509030    1.96154442)
iedge=   9, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    4.00000000   -0.19509030    1.96154442)
iedge=   9, ipnt=   4 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    4.00000000   -0.38267602    1.84773118)
iedge=   9, ipnt=  50 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    4.00000000   -0.38267602   -1.84773118)
iedge=   9, ipnt=  52 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    4.00000000   -0.19509030   -1.96154442)
iedge=   9, ipnt=  52 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    4.00000000   -0.19509030   -1.96154442)
iedge=   9, ipnt=  53 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    4.00000000   -0.09801627   -1.99034106)
iedge=   9, ipnt=  53 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    4.00000000   -0.09801627   -1.99034106)
    d(Edge)/d(z9) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(z9) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "z10"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "z10" for ibody=6
    d(Face)/d(z10) check complete with        0 total errors (errmax=  8.4952e-10)
    d(Edge)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "z10" for ibody=13
    d(Face)/d(z10) check complete with        0 total errors (errmax=  4.2431e-10)
    d(Edge)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "z10" for ibody=19
    d(Face)/d(z10) check complete with        0 total errors (errmax=  1.1632e-09)
    d(Edge)/d(z10) check complete with        0 total errors (errmax=  1.3796e-10)
    d(Node)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.692 sec

Sensitivity checks complete with     2400 tnotal errors (max config err=  6.8678e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0k.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "x1"
*********************************************************

Generating perturbed configuration with delta-x1[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -4.99500000    0.00000000    0.00000000, dist=   0.00500000 (at   -5.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -4.99500000    0.00000000    0.00000000, dist=   0.00500000 (at   -5.00000000    0.00000000    0.00000000)
    d(Face)/d(x1) check complete with        2 total errors (errmax=  5.0000e-03)
iedge=   1, ipnt=   0: anal=  -4.99523810    0.00000000    0.00047619, ptrb=  -4.99500000    0.00000000    0.00000000, dist=   0.00053240 (at   -5.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -4.99523810   -0.00000000   -0.00047619, ptrb=  -4.99500000    0.00000000    0.00000000, dist=   0.00053240 (at   -5.00000000    0.00000000    0.00000000)
    d(Edge)/d(x1) check complete with        2 total errors (errmax=  5.3240e-04)
inode=   1:            anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -4.99500000    0.00000000    0.00000000, dist=   0.00500000 (at   -4.99500000    0.00000000    0.00000000)
    d(Node)/d(x1) check complete with        1 total errors (errmax=  5.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x1) check complete with        0 total errors (errmax=  5.0000e-03)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  5.3240e-04)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  5.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x1) check complete with        0 total errors (errmax=  5.0000e-03)
    d(Edge)/d(x1) check complete with        0 total errors (errmax=  5.3240e-04)
    d(Node)/d(x1) check complete with        0 total errors (errmax=  5.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x2"
*********************************************************

Generating perturbed configuration with delta-x2[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99680512    0.00000036   -1.99839617, dist=   0.00357484 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   1, ipnt=  74: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99680512    0.00000036    1.99839617, dist=   0.00357484 (at   -4.00000000    0.00000000    2.00000000)
iface=   2, ipnt=  16: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99600000   -0.00000000   -2.00000000, dist=   0.00400000 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   2, ipnt=  70: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99600000    0.00000000    2.00000000, dist=   0.00400000 (at   -4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=   0: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99680512   -0.00000036    1.99839617, dist=   0.00357484 (at   -4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  74: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99680512   -0.00000036   -1.99839617, dist=   0.00357484 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   4, ipnt=  16: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99600000    0.00000000    2.00000000, dist=   0.00400000 (at   -4.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  70: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99600000   -0.00000000   -2.00000000, dist=   0.00400000 (at   -4.00000000   -0.00000000   -2.00000000)
    d(Face)/d(x2) check complete with        8 total errors (errmax=  4.0000e-03)
iedge=   5, ipnt=   0: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99600000   -0.00000000   -2.00000000, dist=   0.00400000 (at   -4.00000000   -0.00000000   -2.00000000)
iedge=   6, ipnt=   0: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99600000    0.00000000    2.00000000, dist=   0.00400000 (at   -4.00000000    0.00000000    2.00000000)
    d(Edge)/d(x2) check complete with        2 total errors (errmax=  4.0000e-03)
inode=   2:            anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99600000   -0.00000000   -2.00000000, dist=   0.00400000 (at   -3.99600000   -0.00000000   -2.00000000)
inode=   3:            anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99600000    0.00000000    2.00000000, dist=   0.00400000 (at   -3.99600000    0.00000000    2.00000000)
    d(Node)/d(x2) check complete with        2 total errors (errmax=  4.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x3"
*********************************************************

Generating perturbed configuration with delta-x3[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   5, ipnt=   0: anal=  -3.00000000   -0.00000000   -2.00000000, ptrb=  -2.99700000   -0.00000000   -2.00000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -2.00000000)
iface=   5, ipnt=  54: anal=  -3.00000000    0.00000000    2.00000000, ptrb=  -2.99700000    0.00000000    2.00000000, dist=   0.00300000 (at   -3.00000000    0.00000000    2.00000000)
    d(Face)/d(x3) check complete with        2 total errors (errmax=  3.0000e-03)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  9.9301e-16)
inode=   4:            anal=  -3.00000000   -0.00000000   -2.00000000, ptrb=  -2.99700000   -0.00000000   -2.00000000, dist=   0.00300000 (at   -2.99700000   -0.00000000   -2.00000000)
inode=   5:            anal=  -3.00000000    0.00000000    2.00000000, ptrb=  -2.99700000    0.00000000    2.00000000, dist=   0.00300000 (at   -2.99700000    0.00000000    2.00000000)
    d(Node)/d(x3) check complete with        2 total errors (errmax=  3.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x3) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  3.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x3) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Edge)/d(x3) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Node)/d(x3) check complete with        0 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x4"
*********************************************************

Generating perturbed configuration with delta-x4[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x4) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   1, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -1.99800000    0.00000000    0.00000000, dist=   0.00200000 (at   -2.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -1.99800000    0.00000000    0.00000000, dist=   0.00200000 (at   -2.00000000    0.00000000    0.00000000)
    d(Face)/d(x4) check complete with        2 total errors (errmax=  2.0000e-03)
iedge=   1, ipnt=   0: anal=  -1.99833333    0.00000000    0.00033333, ptrb=  -1.99800000    0.00000000    0.00000000, dist=   0.00047140 (at   -2.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -1.99833333   -0.00000000   -0.00033333, ptrb=  -1.99800000    0.00000000    0.00000000, dist=   0.00047140 (at   -2.00000000    0.00000000    0.00000000)
    d(Edge)/d(x4) check complete with        2 total errors (errmax=  4.7140e-04)
inode=   1:            anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -1.99800000    0.00000000    0.00000000, dist=   0.00200000 (at   -1.99800000    0.00000000    0.00000000)
    d(Node)/d(x4) check complete with        1 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x4) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Edge)/d(x4) check complete with        0 total errors (errmax=  4.7140e-04)
    d(Node)/d(x4) check complete with        0 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x5"
*********************************************************

Generating perturbed configuration with delta-x5[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x5) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   1, ipnt=   0: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99950050    0.00000002   -0.99950000, dist=   0.00070675 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   1, ipnt=  38: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99950050    0.00000002    0.99950000, dist=   0.00070675 (at   -1.00000000    0.00000000    1.00000000)
iface=   2, ipnt=  16: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99900000   -0.00000000   -1.00000000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   2, ipnt=  66: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99900000    0.00000000    1.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00000000)
iface=   4, ipnt=   0: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99950050   -0.00000002    0.99950000, dist=   0.00070675 (at   -1.00000000    0.00000000    1.00000000)
iface=   4, ipnt=  38: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99950050   -0.00000002   -0.99950000, dist=   0.00070675 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   5, ipnt=  16: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99900000    0.00000000    1.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00000000)
iface=   5, ipnt=  66: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99900000   -0.00000000   -1.00000000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00000000)
    d(Face)/d(x5) check complete with        8 total errors (errmax=  1.0000e-03)
iedge=   5, ipnt=   0: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99900000   -0.00000000   -1.00000000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00000000)
iedge=   6, ipnt=   0: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99900000    0.00000000    1.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00000000)
    d(Edge)/d(x5) check complete with        2 total errors (errmax=  1.0000e-03)
inode=   2:            anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99900000   -0.00000000   -1.00000000, dist=   0.00100000 (at   -0.99900000   -0.00000000   -1.00000000)
inode=   3:            anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99900000    0.00000000    1.00000000, dist=   0.00100000 (at   -0.99900000    0.00000000    1.00000000)
    d(Node)/d(x5) check complete with        2 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x5) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(x5) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Node)/d(x5) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x6"
*********************************************************

Generating perturbed configuration with delta-x6[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x6) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   3, ipnt=  19: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00100000   -0.00000000   -1.00000000, dist=   0.00100000 (at    1.00000000   -0.00000000   -1.00000000)
iface=   3, ipnt=  69: anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00100000    0.00000000    1.00000000, dist=   0.00100000 (at    1.00000000    0.00000000    1.00000000)
iface=   6, ipnt=  19: anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00100000    0.00000000    1.00000000, dist=   0.00100000 (at    1.00000000    0.00000000    1.00000000)
iface=   6, ipnt=  69: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00100000   -0.00000000   -1.00000000, dist=   0.00100000 (at    1.00000000   -0.00000000   -1.00000000)
    d(Face)/d(x6) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   8, ipnt=   0: anal=   1.00050000   -0.00000000   -1.00050000, ptrb=   1.00100000   -0.00000000   -1.00000000, dist=   0.00070711 (at    1.00000000   -0.00000000   -1.00000000)
iedge=   9, ipnt=   0: anal=   1.00050000    0.00000000    1.00050000, ptrb=   1.00100000    0.00000000    1.00000000, dist=   0.00070711 (at    1.00000000    0.00000000    1.00000000)
    d(Edge)/d(x6) check complete with        2 total errors (errmax=  7.0711e-04)
inode=   4:            anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00100000   -0.00000000   -1.00000000, dist=   0.00100000 (at    1.00100000   -0.00000000   -1.00000000)
inode=   5:            anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00100000    0.00000000    1.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    1.00000000)
    d(Node)/d(x6) check complete with        2 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x6) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(x6) check complete with        0 total errors (errmax=  7.0711e-04)
    d(Node)/d(x6) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x7"
*********************************************************

Generating perturbed configuration with delta-x7[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x7) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   3, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00099581    0.00006191   -0.00099807, dist=   0.00141124 (at    2.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00099581   -0.00006191    0.00099807, dist=   0.00141124 (at    2.00000000    0.00000000    0.00000000)
    d(Face)/d(x7) check complete with        2 total errors (errmax=  1.4112e-03)
iedge=   8, ipnt=  19: anal=   2.00166667    0.00000000    0.00033333, ptrb=   2.00199967   -0.00000000   -0.00000033, dist=   0.00047140 (at    2.00000000    0.00000000    0.00000000)
iedge=   9, ipnt=  19: anal=   2.00166667   -0.00000000   -0.00033333, ptrb=   2.00199967    0.00000000    0.00000033, dist=   0.00047140 (at    2.00000000    0.00000000    0.00000000)
    d(Edge)/d(x7) check complete with        2 total errors (errmax=  4.7140e-04)
inode=   6:            anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00200000    0.00000000    0.00000000, dist=   0.00200000 (at    2.00200000    0.00000000    0.00000000)
    d(Node)/d(x7) check complete with        1 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(x7) check complete with        0 total errors (errmax=  1.4112e-03)
    d(Edge)/d(x7) check complete with        0 total errors (errmax=  4.7140e-04)
    d(Node)/d(x7) check complete with        0 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x8"
*********************************************************

Generating perturbed configuration with delta-x8[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=  16: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00300000   -0.00000000   -2.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -2.00000000)
iface=   1, ipnt=  70: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00300000    0.00000000    2.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  16: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00300000    0.00000000    2.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  70: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00300000   -0.00000000   -2.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -2.00000000)
iface=   5, ipnt=   0: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00300000    0.00000000    2.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    2.00000000)
iface=   5, ipnt=  54: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00300000   -0.00000000   -2.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -2.00000000)
    d(Face)/d(x8) check complete with        6 total errors (errmax=  3.0000e-03)
iedge=   1, ipnt=   0: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00300000   -0.00000000   -2.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -2.00000000)
iedge=   3, ipnt=   0: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00300000    0.00000000    2.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    2.00000000)
    d(Edge)/d(x8) check complete with        2 total errors (errmax=  3.0000e-03)
inode=   1:            anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00300000   -0.00000000   -2.00000000, dist=   0.00300000 (at    3.00300000   -0.00000000   -2.00000000)
inode=   3:            anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00300000    0.00000000    2.00000000, dist=   0.00300000 (at    3.00300000    0.00000000    2.00000000)
    d(Node)/d(x8) check complete with        2 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x9"
*********************************************************

Generating perturbed configuration with delta-x9[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   2, ipnt=  37: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00400000   -0.00000000   -2.00000000, dist=   0.00400000 (at    4.00000000   -0.00000000   -2.00000000)
iface=   2, ipnt=  91: anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00400000    0.00000000    2.00000000, dist=   0.00400000 (at    4.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  37: anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00400000    0.00000000    2.00000000, dist=   0.00400000 (at    4.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  91: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00400000   -0.00000000   -2.00000000, dist=   0.00400000 (at    4.00000000   -0.00000000   -2.00000000)
    d(Face)/d(x9) check complete with        4 total errors (errmax=  4.0000e-03)
iedge=   5, ipnt=   0: anal=   4.00320000   -0.00000000   -2.00160000, ptrb=   4.00400000   -0.00000000   -2.00000000, dist=   0.00178885 (at    4.00000000   -0.00000000   -2.00000000)
iedge=   6, ipnt=   0: anal=   4.00320000    0.00000000    2.00160000, ptrb=   4.00400000    0.00000000    2.00000000, dist=   0.00178885 (at    4.00000000    0.00000000    2.00000000)
    d(Edge)/d(x9) check complete with        2 total errors (errmax=  1.7889e-03)
inode=   2:            anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00400000   -0.00000000   -2.00000000, dist=   0.00400000 (at    4.00400000   -0.00000000   -2.00000000)
inode=   4:            anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00400000    0.00000000    2.00000000, dist=   0.00400000 (at    4.00400000    0.00000000    2.00000000)
    d(Node)/d(x9) check complete with        2 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "x10"
*********************************************************

Generating perturbed configuration with delta-x10[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(x10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(x10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(x10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   2, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00395658    0.00016139   -0.00203857, dist=   0.00445380 (at    5.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00395658   -0.00016139    0.00203857, dist=   0.00445380 (at    5.00000000    0.00000000    0.00000000)
    d(Face)/d(x10) check complete with        2 total errors (errmax=  4.4538e-03)
iedge=   5, ipnt=  37: anal=   5.00476190    0.00000000    0.00047619, ptrb=   5.00500000    0.00000000    0.00000000, dist=   0.00053240 (at    5.00000000    0.00000000    0.00000000)
iedge=   6, ipnt=  37: anal=   5.00476190   -0.00000000   -0.00047619, ptrb=   5.00500000    0.00000000    0.00000000, dist=   0.00053240 (at    5.00000000    0.00000000    0.00000000)
    d(Edge)/d(x10) check complete with        2 total errors (errmax=  5.3240e-04)
inode=   5:            anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00500000    0.00000000    0.00000000, dist=   0.00500000 (at    5.00500000    0.00000000    0.00000000)
    d(Node)/d(x10) check complete with        1 total errors (errmax=  5.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "y1"
*********************************************************

Generating perturbed configuration with delta-y1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -5.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -5.00000000    0.00000000    0.00000000)
    d(Face)/d(y1) check complete with        2 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  2.1684e-19)
inode=   1:            anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -5.00000000    0.00100000    0.00000000)
    d(Node)/d(y1) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y1) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  2.1684e-19)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y1) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  2.1684e-19)
    d(Node)/d(y1) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "y2"
*********************************************************

Generating perturbed configuration with delta-y2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  2.4493e-19)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  2.4493e-19)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Edge)/d(y2) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Node)/d(y2) check complete with        0 total errors (errmax=  2.4493e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y3"
*********************************************************

Generating perturbed configuration with delta-y3[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  2.4493e-19)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  2.4493e-19)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Edge)/d(y3) check complete with        0 total errors (errmax=  2.0950e-07)
    d(Node)/d(y3) check complete with        0 total errors (errmax=  2.4493e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y4"
*********************************************************

Generating perturbed configuration with delta-y4[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y4) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   1, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -2.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -2.00000000    0.00000000    0.00000000)
    d(Face)/d(y4) check complete with        2 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  2.1684e-19)
inode=   1:            anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -2.00000000    0.00100000    0.00000000)
    d(Node)/d(y4) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y4) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y4) check complete with        0 total errors (errmax=  2.1684e-19)
    d(Node)/d(y4) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "y5"
*********************************************************

Generating perturbed configuration with delta-y5[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y5) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y5) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  6.1232e-19)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y5) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Edge)/d(y5) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Node)/d(y5) check complete with        0 total errors (errmax=  6.1232e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y6"
*********************************************************

Generating perturbed configuration with delta-y6[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y6) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y6) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  6.1232e-19)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y6) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Edge)/d(y6) check complete with        0 total errors (errmax=  9.6614e-09)
    d(Node)/d(y6) check complete with        0 total errors (errmax=  6.1232e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y7"
*********************************************************

Generating perturbed configuration with delta-y7[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y7) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   3, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    2.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    2.00000000    0.00000000    0.00000000)
    d(Face)/d(y7) check complete with        2 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  2.1684e-19)
inode=   6:            anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    2.00000000    0.00100000    0.00000000)
    d(Node)/d(y7) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y7) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y7) check complete with        0 total errors (errmax=  2.1684e-19)
    d(Node)/d(y7) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "y8"
*********************************************************

Generating perturbed configuration with delta-y8[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y8) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Edge)/d(y8) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Node)/d(y8) check complete with        0 total errors (errmax=  2.4493e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y9"
*********************************************************

Generating perturbed configuration with delta-y9[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(y9) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Edge)/d(y9) check complete with        0 total errors (errmax=  6.5543e-09)
    d(Node)/d(y9) check complete with        0 total errors (errmax=  2.4493e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "y10"
*********************************************************

Generating perturbed configuration with delta-y10[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(y10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(y10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(y10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   2, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    5.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    5.00000000    0.00000000    0.00000000)
    d(Face)/d(y10) check complete with        2 total errors (errmax=  1.0000e-03)
    d(Edge)/d(y10) check complete with        0 total errors (errmax=  1.0842e-19)
inode=   5:            anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    5.00000000    0.00100000    0.00000000)
    d(Node)/d(y10) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z1"
*********************************************************

Generating perturbed configuration with delta-z1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000   -0.00000000    0.00100000, dist=   0.00100000 (at   -5.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  37: anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -5.00000000    0.00000000    0.00000000)
    d(Face)/d(z1) check complete with        2 total errors (errmax=  1.0000e-03)
iedge=   3, ipnt=   0: anal=  -5.00009524   -0.00000000    0.00080952, ptrb=  -5.00000000    0.00000000    0.00100000, dist=   0.00021296 (at   -5.00000000    0.00000000    0.00000000)
    d(Edge)/d(z1) check complete with        1 total errors (errmax=  2.1296e-04)
inode=   1:            anal=  -5.00000000    0.00000000    0.00000000, ptrb=  -5.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -5.00000000    0.00000000    0.00100000)
    d(Node)/d(z1) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z1) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  2.1296e-04)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z1) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  2.1296e-04)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z2"
*********************************************************

Generating perturbed configuration with delta-z2[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -4.00079952   -0.00000000   -2.00039936, dist=   0.00089371 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   1, ipnt=  74: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -4.00079952    0.00000000    2.00039936, dist=   0.00089371 (at   -4.00000000    0.00000000    2.00000000)
iface=   2, ipnt=  16: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99999600   -0.00000000   -2.00199999, dist=   0.00200000 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   2, ipnt=  70: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99999600    0.00000000    2.00199999, dist=   0.00200000 (at   -4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=   0: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -4.00079952    0.00000000    2.00039936, dist=   0.00089371 (at   -4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  74: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -4.00079952   -0.00000000   -2.00039936, dist=   0.00089371 (at   -4.00000000   -0.00000000   -2.00000000)
iface=   4, ipnt=  16: anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -3.99999600    0.00000000    2.00199999, dist=   0.00200000 (at   -4.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  70: anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -3.99999600   -0.00000000   -2.00199999, dist=   0.00200000 (at   -4.00000000   -0.00000000   -2.00000000)
    d(Face)/d(z2) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  1.3508e-06)
inode=   2:            anal=  -4.00000000   -0.00000000   -2.00000000, ptrb=  -4.00000000   -0.00000000   -2.00200000, dist=   0.00200000 (at   -4.00000000   -0.00000000   -2.00200000)
inode=   3:            anal=  -4.00000000    0.00000000    2.00000000, ptrb=  -4.00000000    0.00000000    2.00200000, dist=   0.00200000 (at   -4.00000000    0.00000000    2.00200000)
    d(Node)/d(z2) check complete with        2 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z2) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  1.3508e-06)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z2) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  1.3508e-06)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z3"
*********************************************************

Generating perturbed configuration with delta-z3[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   2, ipnt=   0: anal=  -3.00000000   -0.00000000   -2.00000000, ptrb=  -3.00000400   -0.00000000   -2.00199999, dist=   0.00200000 (at   -3.00000000   -0.00000000   -2.00000000)
iface=   2, ipnt=  86: anal=  -3.00000000    0.00000000    2.00000000, ptrb=  -3.00000400    0.00000000    2.00199999, dist=   0.00200000 (at   -3.00000000    0.00000000    2.00000000)
iface=   4, ipnt=   0: anal=  -3.00000000    0.00000000    2.00000000, ptrb=  -3.00000400    0.00000000    2.00199999, dist=   0.00200000 (at   -3.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  86: anal=  -3.00000000   -0.00000000   -2.00000000, ptrb=  -3.00000400   -0.00000000   -2.00199999, dist=   0.00200000 (at   -3.00000000   -0.00000000   -2.00000000)
    d(Face)/d(z3) check complete with        4 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  1.6668e-06)
inode=   4:            anal=  -3.00000000   -0.00000000   -2.00000000, ptrb=  -3.00000000   -0.00000000   -2.00200000, dist=   0.00200000 (at   -3.00000000   -0.00000000   -2.00200000)
inode=   5:            anal=  -3.00000000    0.00000000    2.00000000, ptrb=  -3.00000000    0.00000000    2.00200000, dist=   0.00200000 (at   -3.00000000    0.00000000    2.00200000)
    d(Node)/d(z3) check complete with        2 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z3) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  1.6668e-06)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  2.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z3) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z3) check complete with        0 total errors (errmax=  1.6668e-06)
    d(Node)/d(z3) check complete with        0 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z4"
*********************************************************

Generating perturbed configuration with delta-z4[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z4) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z4) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   1, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000   -0.00000000    0.00100000, dist=   0.00100000 (at   -2.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  19: anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -2.00000000    0.00000000    0.00000000)
    d(Face)/d(z4) check complete with        2 total errors (errmax=  1.0000e-03)
iedge=   3, ipnt=   0: anal=  -2.00016667   -0.00000000    0.00083333, ptrb=  -2.00000000    0.00000000    0.00100000, dist=   0.00023570 (at   -2.00000000    0.00000000    0.00000000)
    d(Edge)/d(z4) check complete with        1 total errors (errmax=  2.3570e-04)
inode=   1:            anal=  -2.00000000    0.00000000    0.00000000, ptrb=  -2.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -2.00000000    0.00000000    0.00100000)
    d(Node)/d(z4) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z4) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z4) check complete with        0 total errors (errmax=  2.3570e-04)
    d(Node)/d(z4) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z5"
*********************************************************

Generating perturbed configuration with delta-z5[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z5) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z5) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   1, ipnt=   0: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -1.00050000   -0.00000000   -1.00049950, dist=   0.00070675 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   1, ipnt=  38: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -1.00050000    0.00000000    1.00049950, dist=   0.00070675 (at   -1.00000000    0.00000000    1.00000000)
iface=   2, ipnt=  16: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99999950   -0.00000000   -1.00100000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   2, ipnt=  66: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99999950    0.00000000    1.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00000000)
iface=   4, ipnt=   0: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -1.00050000    0.00000000    1.00049950, dist=   0.00070675 (at   -1.00000000    0.00000000    1.00000000)
iface=   4, ipnt=  38: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -1.00050000   -0.00000000   -1.00049950, dist=   0.00070675 (at   -1.00000000   -0.00000000   -1.00000000)
iface=   5, ipnt=  16: anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -0.99999950    0.00000000    1.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00000000)
iface=   5, ipnt=  66: anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -0.99999950   -0.00000000   -1.00100000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00000000)
    d(Face)/d(z5) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z5) check complete with        0 total errors (errmax=  6.8762e-07)
inode=   2:            anal=  -1.00000000   -0.00000000   -1.00000000, ptrb=  -1.00000000   -0.00000000   -1.00100000, dist=   0.00100000 (at   -1.00000000   -0.00000000   -1.00100000)
inode=   3:            anal=  -1.00000000    0.00000000    1.00000000, ptrb=  -1.00000000    0.00000000    1.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    1.00100000)
    d(Node)/d(z5) check complete with        2 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z5) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z5) check complete with        0 total errors (errmax=  6.8762e-07)
    d(Node)/d(z5) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z6"
*********************************************************

Generating perturbed configuration with delta-z6[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z6) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z6) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   2, ipnt=   0: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   0.99999950   -0.00000000   -1.00100000, dist=   0.00100000 (at    1.00000000   -0.00000000   -1.00000000)
iface=   2, ipnt=  82: anal=   1.00000000    0.00000000    1.00000000, ptrb=   0.99999950    0.00000000    1.00100000, dist=   0.00100000 (at    1.00000000    0.00000000    1.00000000)
iface=   3, ipnt=  19: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00050000   -0.00000000   -1.00049950, dist=   0.00070675 (at    1.00000000   -0.00000000   -1.00000000)
iface=   3, ipnt=  69: anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00050000    0.00000000    1.00049950, dist=   0.00070675 (at    1.00000000    0.00000000    1.00000000)
iface=   5, ipnt=   0: anal=   1.00000000    0.00000000    1.00000000, ptrb=   0.99999950    0.00000000    1.00100000, dist=   0.00100000 (at    1.00000000    0.00000000    1.00000000)
iface=   5, ipnt=  82: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   0.99999950   -0.00000000   -1.00100000, dist=   0.00100000 (at    1.00000000   -0.00000000   -1.00000000)
iface=   6, ipnt=  19: anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00050000    0.00000000    1.00049950, dist=   0.00070675 (at    1.00000000    0.00000000    1.00000000)
iface=   6, ipnt=  69: anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00050000   -0.00000000   -1.00049950, dist=   0.00070675 (at    1.00000000   -0.00000000   -1.00000000)
    d(Face)/d(z6) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z6) check complete with        0 total errors (errmax=  6.8762e-07)
inode=   4:            anal=   1.00000000   -0.00000000   -1.00000000, ptrb=   1.00000000   -0.00000000   -1.00100000, dist=   0.00100000 (at    1.00000000   -0.00000000   -1.00100000)
inode=   5:            anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00000000    0.00000000    1.00100000, dist=   0.00100000 (at    1.00000000    0.00000000    1.00100000)
    d(Node)/d(z6) check complete with        2 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z6) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z6) check complete with        0 total errors (errmax=  6.8762e-07)
    d(Node)/d(z6) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z7"
*********************************************************

Generating perturbed configuration with delta-z7[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z7) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z7) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
iface=   3, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    2.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    2.00000000    0.00000000    0.00000000)
    d(Face)/d(z7) check complete with        2 total errors (errmax=  1.0000e-03)
iedge=   8, ipnt=  19: anal=   1.99983333    0.00000000    0.00116667, ptrb=   2.00000000    0.00000000    0.00100000, dist=   0.00023570 (at    2.00000000    0.00000000    0.00000000)
iedge=   9, ipnt=  19: anal=   2.00016667    0.00000000    0.00116667, ptrb=   2.00000000    0.00000000    0.00100000, dist=   0.00023570 (at    2.00000000    0.00000000    0.00000000)
    d(Edge)/d(z7) check complete with        2 total errors (errmax=  2.3570e-04)
inode=   6:            anal=   2.00000000    0.00000000    0.00000000, ptrb=   2.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    2.00000000    0.00000000    0.00100000)
    d(Node)/d(z7) check complete with        1 total errors (errmax=  1.0000e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(z7) check complete with        0 total errors (errmax=  1.0000e-03)
    d(Edge)/d(z7) check complete with        0 total errors (errmax=  2.3570e-04)
    d(Node)/d(z7) check complete with        0 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z8"
*********************************************************

Generating perturbed configuration with delta-z8[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z8) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z8) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=  16: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00000400   -0.00000000   -2.00199999, dist=   0.00200000 (at    3.00000000   -0.00000000   -2.00000000)
iface=   1, ipnt=  70: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00000400    0.00000000    2.00199999, dist=   0.00200000 (at    3.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  16: anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00000400    0.00000000    2.00199999, dist=   0.00200000 (at    3.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  70: anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00000400   -0.00000000   -2.00199999, dist=   0.00200000 (at    3.00000000   -0.00000000   -2.00000000)
    d(Face)/d(z8) check complete with        4 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z8) check complete with        0 total errors (errmax=  1.3508e-06)
inode=   1:            anal=   3.00000000   -0.00000000   -2.00000000, ptrb=   3.00000000   -0.00000000   -2.00200000, dist=   0.00200000 (at    3.00000000   -0.00000000   -2.00200000)
inode=   3:            anal=   3.00000000    0.00000000    2.00000000, ptrb=   3.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    3.00000000    0.00000000    2.00200000)
    d(Node)/d(z8) check complete with        2 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z9"
*********************************************************

Generating perturbed configuration with delta-z9[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z9) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z9) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   3.99999600   -0.00000000   -2.00199999, dist=   0.00200000 (at    4.00000000   -0.00000000   -2.00000000)
iface=   1, ipnt=  86: anal=   4.00000000    0.00000000    2.00000000, ptrb=   3.99999600    0.00000000    2.00199999, dist=   0.00200000 (at    4.00000000    0.00000000    2.00000000)
iface=   2, ipnt=  37: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00079952   -0.00000000   -2.00039936, dist=   0.00089371 (at    4.00000000   -0.00000000   -2.00000000)
iface=   2, ipnt=  91: anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00079952    0.00000000    2.00039936, dist=   0.00089371 (at    4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    2.00000000, ptrb=   3.99999600    0.00000000    2.00199999, dist=   0.00200000 (at    4.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  86: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   3.99999600   -0.00000000   -2.00199999, dist=   0.00200000 (at    4.00000000   -0.00000000   -2.00000000)
iface=   4, ipnt=  37: anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00079952    0.00000000    2.00039936, dist=   0.00089371 (at    4.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  91: anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00079952   -0.00000000   -2.00039936, dist=   0.00089371 (at    4.00000000   -0.00000000   -2.00000000)
    d(Face)/d(z9) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(z9) check complete with        0 total errors (errmax=  1.3508e-06)
inode=   2:            anal=   4.00000000   -0.00000000   -2.00000000, ptrb=   4.00000000   -0.00000000   -2.00200000, dist=   0.00200000 (at    4.00000000   -0.00000000   -2.00200000)
inode=   4:            anal=   4.00000000    0.00000000    2.00000000, ptrb=   4.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    4.00000000    0.00000000    2.00200000)
    d(Node)/d(z9) check complete with        2 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z10"
*********************************************************

Generating perturbed configuration with delta-z10[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(z10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(z10) check complete with        0 total errors (errmax=  1.6355e-15)
    d(Edge)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(z10) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   2, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    5.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    5.00000000    0.00000000    0.00000000)
    d(Face)/d(z10) check complete with        2 total errors (errmax=  1.0000e-03)
iedge=   5, ipnt=  37: anal=   4.99990476    0.00000000    0.00119048, ptrb=   5.00000000    0.00000000    0.00100000, dist=   0.00021296 (at    5.00000000    0.00000000    0.00000000)
iedge=   6, ipnt=  37: anal=   5.00009524    0.00000000    0.00119048, ptrb=   4.99994285    0.00000000    0.00111424, dist=   0.00017039 (at    5.00000000    0.00000000    0.00000000)
    d(Edge)/d(z10) check complete with        2 total errors (errmax=  2.1296e-04)
inode=   5:            anal=   5.00000000    0.00000000    0.00000000, ptrb=   5.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    5.00000000    0.00000000    0.00100000)
    d(Node)/d(z10) check complete with        1 total errors (errmax=  1.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      5.399 sec

Sensitivity checks complete with      156 total errors (max tessel err=  5.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0m.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xbase" for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.7790e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.2677e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.3663e-09)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ybase" for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.8358e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.0505e-09)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  3.3663e-09)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "zbase" for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.7682e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.1810e-09)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  5.2359e-09)
 

*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xsize" for ibody=4
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  1.7369e-09)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  2.9716e-09)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  3.3663e-09)
 

*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ysize" for ibody=4
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  1.8358e-09)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  3.0505e-09)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  3.3663e-09)
 

*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "zsize" for ibody=4
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  2.7682e-09)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  5.1810e-09)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  5.2359e-09)
 

*********************************************************
Starting configuration sensitivity wrt "nx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "nx" for ibody=4
    d(Face)/d(nx) check complete with        0 total errors (errmax=  2.2812e-05)
    d(Edge)/d(nx) check complete with        0 total errors (errmax=  4.0452e-05)
    d(Node)/d(nx) check complete with        0 total errors (errmax=  3.8379e-05)
 

*********************************************************
Starting configuration sensitivity wrt "ny"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ny" for ibody=4
    d(Face)/d(ny) check complete with        0 total errors (errmax=  5.2413e-05)
    d(Edge)/d(ny) check complete with        0 total errors (errmax=  7.5806e-05)
    d(Node)/d(ny) check complete with        0 total errors (errmax=  8.1046e-05)
 

*********************************************************
Starting configuration sensitivity wrt "nz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "nz" for ibody=4
    d(Face)/d(nz) check complete with        0 total errors (errmax=  6.9491e-05)
    d(Edge)/d(nz) check complete with        0 total errors (errmax=  7.3906e-05)
    d(Node)/d(nz) check complete with        0 total errors (errmax=  9.4901e-05)
 

*********************************************************
Starting configuration sensitivity wrt "dist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "dist" for ibody=4
    d(Face)/d(dist) check complete with        0 total errors (errmax=  2.1786e-09)
    d(Edge)/d(dist) check complete with        0 total errors (errmax=  2.9845e-09)
    d(Node)/d(dist) check complete with        0 total errors (errmax=  3.1343e-09)
 

*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "scale" for ibody=4
    d(Face)/d(scale) check complete with        0 total errors (errmax=  2.0506e-09)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  2.7074e-09)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  2.5812e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "dx" for ibody=4
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.4144e-09)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.2442e-09)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.0280e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "dy" for ibody=4
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.6411e-09)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.2570e-09)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  3.0431e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "dz" for ibody=4
    d(Face)/d(dz) check complete with        0 total errors (errmax=  1.4127e-09)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  1.3461e-09)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  7.4840e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.008 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.4901e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0m.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  4.4464e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.6364e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.8266e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  4.0275e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.0701e-15)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  3.7221e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  4.4630e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.9783e-15)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.5596e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "xsize"
*********************************************************

Generating perturbed configuration with delta-xsize[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  4.0701e-15)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  3.6889e-15)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  3.5804e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "ysize"
*********************************************************

Generating perturbed configuration with delta-ysize[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  3.6922e-15)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  3.9968e-15)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  3.6146e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "zsize"
*********************************************************

Generating perturbed configuration with delta-zsize[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  4.4906e-15)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  3.9721e-15)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  3.6621e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "nx"
*********************************************************

Generating perturbed configuration with delta-nx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(nx) check complete with        0 total errors (errmax=  3.3061e-05)
    d(Edge)/d(nx) check complete with        0 total errors (errmax=  4.3630e-05)
    d(Node)/d(nx) check complete with        0 total errors (errmax=  4.3630e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "ny"
*********************************************************

Generating perturbed configuration with delta-ny[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ny) check complete with        0 total errors (errmax=  7.8509e-05)
    d(Edge)/d(ny) check complete with        0 total errors (errmax=  8.7460e-05)
    d(Node)/d(ny) check complete with        0 total errors (errmax=  8.7460e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "nz"
*********************************************************

Generating perturbed configuration with delta-nz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(nz) check complete with        0 total errors (errmax=  7.8608e-05)
iedge=   6, ipnt=  14: anal= -15.62772447   -2.05108979    4.42924903, ptrb= -15.62765182   -2.05103018    4.42921433, dist=   0.00010017 (at  -15.60303659   -2.04121464    4.47939268)
iedge=   6, ipnt=  15: anal= -15.96083558   -1.68433423    4.36196014, ptrb= -15.96076227   -1.68427391    4.36192602, dist=   0.00010088 (at  -15.93636992   -1.67454797    4.41272602)
iedge=   6, ipnt=  16: anal= -16.29394669   -1.31757868    4.29467126, ptrb= -16.29385177   -1.31754071    4.29464194, dist=   0.00010635 (at  -16.26970326   -1.30788130    4.34605935)
iedge=   7, ipnt=  32: anal= -16.29394669   -1.31757868    4.29467126, ptrb= -16.29385177   -1.31754071    4.29464194, dist=   0.00010635 (at  -16.26970326   -1.30788130    4.34605935)
iedge=  12, ipnt=  16: anal= -16.29394669   -1.31757868    4.29467126, ptrb= -16.29385177   -1.31754071    4.29464194, dist=   0.00010635 (at  -16.26970326   -1.30788130    4.34605935)
    d(Edge)/d(nz) check complete with        5 total errors (errmax=  1.0635e-04)
inode=   7:            anal= -16.29394669   -1.31757868    4.29467126, ptrb= -16.29385177   -1.31754071    4.29464194, dist=   0.00010635 (at  -16.29385177   -1.31754071    4.29464194)
    d(Node)/d(nz) check complete with        1 total errors (errmax=  1.0635e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dist"
*********************************************************

Generating perturbed configuration with delta-dist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(dist) check complete with        0 total errors (errmax=  3.9721e-15)
    d(Edge)/d(dist) check complete with        0 total errors (errmax=  3.5804e-15)
    d(Node)/d(dist) check complete with        0 total errors (errmax=  1.8310e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "scale"
*********************************************************

Generating perturbed configuration with delta-scale[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(scale) check complete with        0 total errors (errmax=  4.1851e-15)
    d(Edge)/d(scale) check complete with        0 total errors (errmax=  7.3241e-15)
    d(Node)/d(scale) check complete with        0 total errors (errmax=  2.6645e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(dx) check complete with        0 total errors (errmax=  3.9721e-15)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.1756e-15)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.7764e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(dy) check complete with        0 total errors (errmax=  3.8347e-15)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  3.9783e-15)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  4.4409e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(dz) check complete with        0 total errors (errmax=  3.9252e-15)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  3.9783e-15)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  2.2204e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.152 sec

Sensitivity checks complete with        6 total errors (max tessel err=  1.0635e-04) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "thickness" for ibody=3
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  7.9061e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  7.8575e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0173e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "camber" for ibody=3
iface=   1, ipnt=  19 (Y): anal=   0.99857368,  fd=   0.99837062,  err=   0.00020306 (at    0.39270259    0.09826548    2.00000000)
iface=   1, ipnt= 179 (Y): anal=   0.99857368,  fd=   0.99837062,  err=   0.00020306 (at    0.39270259    0.09826548    0.00000000)
iface=   1, ipnt= 397 (Y): anal=   0.99780513,  fd=   0.99766065,  err=   0.00014448 (at    0.38563821    0.09846379    0.84503391)
iface=   1, ipnt= 398 (Y): anal=   0.99849419,  fd=   0.99829487,  err=   0.00019932 (at    0.39161350    0.09829840    0.88217248)
iface=   1, ipnt= 399 (Y): anal=   0.99872936,  fd=   0.99853163,  err=   0.00019773 (at    0.39604490    0.09815932    0.91922660)
iface=   1, ipnt= 400 (Y): anal=   0.99875664,  fd=   0.99858867,  err=   0.00016797 (at    0.39897389    0.09806011    0.95623386)
iface=   1, ipnt= 401 (Y): anal=   0.99872729,  fd=   0.99858949,  err=   0.00013780 (at    0.40042458    0.09800891    0.99320629)
iface=   1, ipnt= 402 (Y): anal=   0.99872784,  fd=   0.99858957,  err=   0.00013827 (at    0.40040912    0.09800946    1.03016750)
iface=   1, ipnt= 403 (Y): anal=   0.99875700,  fd=   0.99858835,  err=   0.00016865 (at    0.39892755    0.09806173    1.06712300)
iface=   1, ipnt= 404 (Y): anal=   0.99872727,  fd=   0.99852910,  err=   0.00019817 (at    0.39596787    0.09816185    1.10409621)
...too many errors to list
iface=   2, ipnt=  16 (Y): anal=   0.99848722,  fd=   0.99836145,  err=   0.00012577 (at    0.40088402   -0.01800173    2.00000000)
iface=   2, ipnt= 118 (Y): anal=   0.99848722,  fd=   0.99836145,  err=   0.00012577 (at    0.40088402   -0.01800173    0.00000000)
iface=   2, ipnt= 359 (Y): anal=   0.99724822,  fd=   0.99708309,  err=   0.00016513 (at    0.38860901   -0.01848594    1.37395756)
iface=   2, ipnt= 390 (Y): anal=   0.99718237,  fd=   0.99702118,  err=   0.00016119 (at    0.38825451   -0.01850014    0.60264225)
iface=   2, ipnt= 396 (Y): anal=   0.99686557,  fd=   0.99672380,  err=   0.00014177 (at    0.38666076   -0.01856418    1.19223445)
iface=   2, ipnt= 397 (Y): anal=   0.99804588,  fd=   0.99784619,  err=   0.00019969 (at    0.39402355   -0.01827082    1.15497333)
iface=   2, ipnt= 398 (Y): anal=   0.99846965,  fd=   0.99831243,  err=   0.00015721 (at    0.39982884   -0.01804295    1.11783478)
iface=   2, ipnt= 405 (Y): anal=   0.99846593,  fd=   0.99830698,  err=   0.00015895 (at    0.39972380   -0.01804705    0.85890786)
iface=   2, ipnt= 406 (Y): anal=   0.99803081,  fd=   0.99783125,  err=   0.00019956 (at    0.39388921   -0.01827612    0.82183877)
iface=   2, ipnt= 407 (Y): anal=   0.99683122,  fd=   0.99669158,  err=   0.00013964 (at    0.38649763   -0.01857076    0.78466606)
...too many errors to list
    d(Face)/d(camber) check complete with       83 total errors (errmax=  2.0377e-04)
iedge=   3, ipnt=  19 (Y): anal=   0.99857368,  fd=   0.99837062,  err=   0.00020306 (at    0.39270259    0.09826548    0.00000000)
iedge=   4, ipnt=  19 (Y): anal=   0.99857368,  fd=   0.99837062,  err=   0.00020306 (at    0.39270259    0.09826548    2.00000000)
iedge=   6, ipnt=  16 (Y): anal=   0.99848722,  fd=   0.99836145,  err=   0.00012577 (at    0.40088402   -0.01800173    0.00000000)
iedge=   7, ipnt=  16 (Y): anal=   0.99848722,  fd=   0.99836145,  err=   0.00012577 (at    0.40088402   -0.01800173    2.00000000)
    d(Edge)/d(camber) check complete with        4 total errors (errmax=  2.0306e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.4602e-09)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "span" for ibody=3
    d(Face)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.566 sec

Sensitivity checks complete with       87 tnotal errors (max config err=  2.0377e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  8.0763e-08)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  8.0000e-08)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.4563e-07)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  3.4208e-07)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.9935e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(span) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.0904e-09)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.715 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.4563e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "span" for ibody=5
    d(Face)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.213 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "class[1,1]"
*********************************************************

Generating perturbed configuration with delta-class[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "class[1,2]"
*********************************************************

Generating perturbed configuration with delta-class[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,1]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,2]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,1]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,2]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,3]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,4]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "alower[1,1]"
*********************************************************

Generating perturbed configuration with delta-alower[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,2]"
*********************************************************

Generating perturbed configuration with delta-alower[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,3]"
*********************************************************

Generating perturbed configuration with delta-alower[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,4]"
*********************************************************

Generating perturbed configuration with delta-alower[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(span) check complete with        0 total errors (errmax=  4.1618e-09)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  4.1618e-09)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.177 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.1618e-09) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "span" for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "poly[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[2,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[2,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[2,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "poly[2,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.155 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  6.2819e-16)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "poly[1,1]"
*********************************************************

Generating perturbed configuration with delta-poly[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[1,2]"
*********************************************************

Generating perturbed configuration with delta-poly[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[1,3]"
*********************************************************

Generating perturbed configuration with delta-poly[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[1,4]"
*********************************************************

Generating perturbed configuration with delta-poly[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[1,5]"
*********************************************************

Generating perturbed configuration with delta-poly[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[2,1]"
*********************************************************

Generating perturbed configuration with delta-poly[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[2,2]"
*********************************************************

Generating perturbed configuration with delta-poly[2,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[2,3]"
*********************************************************

Generating perturbed configuration with delta-poly[2,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[2,4]"
*********************************************************

Generating perturbed configuration with delta-poly[2,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "poly[2,5]"
*********************************************************

Generating perturbed configuration with delta-poly[2,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.085 sec

Sensitivity checks complete with        0 total errors (max tessel err=  6.2820e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "span" for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "param[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,6]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,7]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,8]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "param[1,9]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.021 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  4.7429e-16)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  4.5927e-16)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "param[1,1]"
*********************************************************

Generating perturbed configuration with delta-param[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,2]"
*********************************************************

Generating perturbed configuration with delta-param[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,3]"
*********************************************************

Generating perturbed configuration with delta-param[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,4]"
*********************************************************

Generating perturbed configuration with delta-param[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,5]"
*********************************************************

Generating perturbed configuration with delta-param[1,5]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,6]"
*********************************************************

Generating perturbed configuration with delta-param[1,6]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,7]"
*********************************************************

Generating perturbed configuration with delta-param[1,7]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,8]"
*********************************************************

Generating perturbed configuration with delta-param[1,8]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "param[1,9]"
*********************************************************

Generating perturbed configuration with delta-param[1,9]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.253 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.7430e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "thickness" for ibody=6
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  5.8933e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  5.8933e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0173e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "camber" for ibody=6
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.2220e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.7416e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.4602e-09)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "span" for ibody=6
    d(Face)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.810 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8933e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4470e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.1248e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.0845e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.1248e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   5, ipnt=   0: anal=   1.00016653    0.00124895    2.00000000, ptrb=   1.00016653    0.00124895    2.00200000, dist=   0.00200000 (at    1.00016653    0.00124895    2.00000000)
iface=   5, ipnt=   1: anal=   0.99983347   -0.00124895    2.00000000, ptrb=   0.99983347   -0.00124895    2.00200000, dist=   0.00200000 (at    0.99983347   -0.00124895    2.00000000)
iface=   5, ipnt=  36: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Face)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.8818e-16)
inode=   2:            anal=   1.00016653    0.00124895    2.00000000, ptrb=   1.00016653    0.00124895    2.00200000, dist=   0.00200000 (at    1.00016653    0.00124895    2.00200000)
inode=   4:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   6:            anal=   0.99983347   -0.00124895    2.00000000, ptrb=   0.99983347   -0.00124895    2.00200000, dist=   0.00200000 (at    0.99983347   -0.00124895    2.00200000)
    d(Node)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.908 sec

Sensitivity checks complete with        6 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "span" for ibody=10
    d(Face)/d(span) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.603 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.0280e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "class[1,1]"
*********************************************************

Generating perturbed configuration with delta-class[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "class[1,2]"
*********************************************************

Generating perturbed configuration with delta-class[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,1]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,2]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,1]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,2]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,3]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,4]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,5]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,6]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,6]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "alower[1,1]"
*********************************************************

Generating perturbed configuration with delta-alower[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,2]"
*********************************************************

Generating perturbed configuration with delta-alower[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,3]"
*********************************************************

Generating perturbed configuration with delta-alower[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,4]"
*********************************************************

Generating perturbed configuration with delta-alower[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,5]"
*********************************************************

Generating perturbed configuration with delta-alower[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,6]"
*********************************************************

Generating perturbed configuration with delta-alower[1,6]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   5, ipnt=   0: anal=   1.00000000    0.00120000    2.00000000, ptrb=   1.00000000    0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00120000    2.00000000)
iface=   5, ipnt=   1: anal=   1.00000000   -0.00120000    2.00000000, ptrb=   1.00000000   -0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00120000    2.00000000)
iface=   5, ipnt=  36: anal=   0.00000000    0.00000000    2.00000000, ptrb=  -0.00000000   -0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Face)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.8818e-16)
inode=   2:            anal=   1.00000000    0.00120000    2.00000000, ptrb=   1.00000000    0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00120000    2.00200000)
inode=   4:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   6:            anal=   1.00000000   -0.00120000    2.00000000, ptrb=   1.00000000   -0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00120000    2.00200000)
    d(Node)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.521 sec

Sensitivity checks complete with        6 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "thickness" for ibody=6
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  5.8933e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  5.8933e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0173e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "camber" for ibody=6
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.2220e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.7416e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  6.4602e-09)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "span" for ibody=6
    d(Face)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.0591e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.821 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8933e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4470e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.1248e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.0845e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.1248e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   5, ipnt=   0: anal=   1.00016653    0.00124895    2.00000000, ptrb=   1.00016653    0.00124895    2.00200000, dist=   0.00200000 (at    1.00016653    0.00124895    2.00000000)
iface=   5, ipnt=   1: anal=   0.99983347   -0.00124895    2.00000000, ptrb=   0.99983347   -0.00124895    2.00200000, dist=   0.00200000 (at    0.99983347   -0.00124895    2.00000000)
iface=   5, ipnt=  36: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Face)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.8818e-16)
inode=   2:            anal=   1.00016653    0.00124895    2.00000000, ptrb=   1.00016653    0.00124895    2.00200000, dist=   0.00200000 (at    1.00016653    0.00124895    2.00200000)
inode=   4:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   6:            anal=   0.99983347   -0.00124895    2.00000000, ptrb=   0.99983347   -0.00124895    2.00200000, dist=   0.00200000 (at    0.99983347   -0.00124895    2.00200000)
    d(Node)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.919 sec

Sensitivity checks complete with        6 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "span" for ibody=10
    d(Face)/d(span) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.606 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.0280e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0o4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "class[1,1]"
*********************************************************

Generating perturbed configuration with delta-class[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "class[1,2]"
*********************************************************

Generating perturbed configuration with delta-class[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,1]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "ztail[1,2]"
*********************************************************

Generating perturbed configuration with delta-ztail[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,1]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,2]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,3]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,4]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,5]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "aupper[1,6]"
*********************************************************

Generating perturbed configuration with delta-aupper[1,6]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "alower[1,1]"
*********************************************************

Generating perturbed configuration with delta-alower[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,2]"
*********************************************************

Generating perturbed configuration with delta-alower[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,3]"
*********************************************************

Generating perturbed configuration with delta-alower[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,4]"
*********************************************************

Generating perturbed configuration with delta-alower[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,5]"
*********************************************************

Generating perturbed configuration with delta-alower[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "alower[1,6]"
*********************************************************

Generating perturbed configuration with delta-alower[1,6]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   5, ipnt=   0: anal=   1.00000000    0.00120000    2.00000000, ptrb=   1.00000000    0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00120000    2.00000000)
iface=   5, ipnt=   1: anal=   1.00000000   -0.00120000    2.00000000, ptrb=   1.00000000   -0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00120000    2.00000000)
iface=   5, ipnt=  36: anal=   0.00000000    0.00000000    2.00000000, ptrb=  -0.00000000   -0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Face)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  8.8818e-16)
inode=   2:            anal=   1.00000000    0.00120000    2.00000000, ptrb=   1.00000000    0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00120000    2.00200000)
inode=   4:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   6:            anal=   1.00000000   -0.00120000    2.00000000, ptrb=   1.00000000   -0.00120000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00120000    2.00200000)
    d(Node)/d(span) check complete with        3 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.520 sec

Sensitivity checks complete with        6 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0p.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "camber" for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  8.3237e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  8.3237e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "chord" for ibody=4
    d(Face)/d(chord) check complete with        0 total errors (errmax=  5.1388e-11)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  1.3644e-10)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.3644e-10)
 

*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "alpha" for ibody=4
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  6.8091e-11)
    d(Edge)/d(alpha) check complete with        0 total errors (errmax=  8.4743e-11)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  8.4743e-11)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "span" for ibody=4
    d(Face)/d(span) check complete with        0 total errors (errmax=  1.3865e-11)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.020 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.3237e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0p.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  8.3544e-08)
iedge=   3, ipnt=   1: anal=   0.03001459    0.01136004    0.00000000, ptrb=   0.02997121    0.01147851    0.00000000, dist=   0.00012617 (at    0.03001459    0.01136004    0.00000000)
iedge=   3, ipnt=   2: anal=   0.06035660    0.02181646    0.00000000, ptrb=   0.06027859    0.02205171    0.00000000, dist=   0.00024784 (at    0.06035660    0.02181646    0.00000000)
iedge=   3, ipnt=   3: anal=   0.09100980    0.03132128    0.00000000, ptrb=   0.09090632    0.03167036    0.00000000, dist=   0.00036409 (at    0.09100980    0.03132128    0.00000000)
iedge=   3, ipnt=   4: anal=   0.12195518    0.03982699    0.00000000, ptrb=   0.12183567    0.04028557    0.00000000, dist=   0.00047390 (at    0.12195518    0.03982699    0.00000000)
iedge=   3, ipnt=   5: anal=   0.15316927    0.04728673    0.00000000, ptrb=   0.15304329    0.04784898    0.00000000, dist=   0.00057619 (at    0.15316927    0.04728673    0.00000000)
iedge=   3, ipnt=   6: anal=   0.18462423    0.05365522    0.00000000, ptrb=   0.18450118    0.05431369    0.00000000, dist=   0.00066987 (at    0.18462423    0.05365522    0.00000000)
iedge=   3, ipnt=   7: anal=   0.21628775    0.05888968    0.00000000, ptrb=   0.21617661    0.05963528    0.00000000, dist=   0.00075383 (at    0.21628775    0.05888968    0.00000000)
iedge=   3, ipnt=   8: anal=   0.24812310    0.06295089    0.00000000, ptrb=   0.24803215    0.06377287    0.00000000, dist=   0.00082699 (at    0.24812310    0.06295089    0.00000000)
iedge=   3, ipnt=   9: anal=   0.28008943    0.06580401    0.00000000, ptrb=   0.28002594    0.06669008    0.00000000, dist=   0.00088834 (at    0.28008943    0.06580401    0.00000000)
iedge=   3, ipnt=  10: anal=   0.31214226    0.06742061    0.00000000, ptrb=   0.31211215    0.06835710    0.00000000, dist=   0.00093698 (at    0.31214226    0.06742061    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1: anal=   0.03001459    0.01136004    2.00000000, ptrb=   0.02997121    0.01147851    2.00000000, dist=   0.00012617 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2: anal=   0.06035660    0.02181646    2.00000000, ptrb=   0.06027859    0.02205171    2.00000000, dist=   0.00024784 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3: anal=   0.09100980    0.03132128    2.00000000, ptrb=   0.09090632    0.03167036    2.00000000, dist=   0.00036409 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4: anal=   0.12195518    0.03982699    2.00000000, ptrb=   0.12183567    0.04028557    2.00000000, dist=   0.00047390 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5: anal=   0.15316927    0.04728673    2.00000000, ptrb=   0.15304329    0.04784898    2.00000000, dist=   0.00057619 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   6: anal=   0.18462423    0.05365522    2.00000000, ptrb=   0.18450118    0.05431369    2.00000000, dist=   0.00066987 (at    0.18462423    0.05365522    2.00000000)
iedge=   4, ipnt=   7: anal=   0.21628775    0.05888968    2.00000000, ptrb=   0.21617661    0.05963528    2.00000000, dist=   0.00075383 (at    0.21628775    0.05888968    2.00000000)
iedge=   4, ipnt=   8: anal=   0.24812310    0.06295089    2.00000000, ptrb=   0.24803215    0.06377287    2.00000000, dist=   0.00082699 (at    0.24812310    0.06295089    2.00000000)
iedge=   4, ipnt=   9: anal=   0.28008943    0.06580401    2.00000000, ptrb=   0.28002594    0.06669008    2.00000000, dist=   0.00088834 (at    0.28008943    0.06580401    2.00000000)
iedge=   4, ipnt=  10: anal=   0.31214226    0.06742061    2.00000000, ptrb=   0.31211215    0.06835710    2.00000000, dist=   0.00093698 (at    0.31214226    0.06742061    2.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with       60 total errors (errmax=  9.9991e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "chord"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.9656e-16)
iedge=   2, ipnt=   0: anal=   0.99619470   -0.08715574    0.00000000, ptrb=   0.99719089   -0.08724290    0.00000000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.00000000)
iedge=   2, ipnt=   1: anal=   0.99619470   -0.08715574    0.03125000, ptrb=   0.99719089   -0.08724290    0.03125000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.03125000)
iedge=   2, ipnt=   2: anal=   0.99619470   -0.08715574    0.06250000, ptrb=   0.99719089   -0.08724290    0.06250000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.06250000)
iedge=   2, ipnt=   3: anal=   0.99619470   -0.08715574    0.09375000, ptrb=   0.99719089   -0.08724290    0.09375000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.09375000)
iedge=   2, ipnt=   4: anal=   0.99619470   -0.08715574    0.12500000, ptrb=   0.99719089   -0.08724290    0.12500000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.12500000)
iedge=   2, ipnt=   5: anal=   0.99619470   -0.08715574    0.15625000, ptrb=   0.99719089   -0.08724290    0.15625000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.15625000)
iedge=   2, ipnt=   6: anal=   0.99619470   -0.08715574    0.18750000, ptrb=   0.99719089   -0.08724290    0.18750000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.18750000)
iedge=   2, ipnt=   7: anal=   0.99619470   -0.08715574    0.21875000, ptrb=   0.99719089   -0.08724290    0.21875000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.21875000)
iedge=   2, ipnt=   8: anal=   0.99619470   -0.08715574    0.25000000, ptrb=   0.99719089   -0.08724290    0.25000000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.25000000)
iedge=   2, ipnt=   9: anal=   0.99619470   -0.08715574    0.28125000, ptrb=   0.99719089   -0.08724290    0.28125000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.28125000)
...too many errors to list
iedge=   3, ipnt=  14: anal=   0.44027629    0.06155631    0.00000000, ptrb=   0.44028768    0.06166351    0.00000000, dist=   0.00010780 (at    0.44027629    0.06155631    0.00000000)
iedge=   3, ipnt=  15: anal=   0.47215929    0.05788344    0.00000000, ptrb=   0.47217348    0.05799808    0.00000000, dist=   0.00011551 (at    0.47215929    0.05788344    0.00000000)
iedge=   3, ipnt=  16: anal=   0.50397221    0.05364606    0.00000000, ptrb=   0.50398965    0.05376887    0.00000000, dist=   0.00012404 (at    0.50397221    0.05364606    0.00000000)
iedge=   3, ipnt=  17: anal=   0.53570485    0.04884422    0.00000000, ptrb=   0.53572587    0.04897554    0.00000000, dist=   0.00013299 (at    0.53570485    0.04884422    0.00000000)
iedge=   3, ipnt=  18: anal=   0.56734758    0.04348186    0.00000000, ptrb=   0.56737258    0.04362210    0.00000000, dist=   0.00014245 (at    0.56734758    0.04348186    0.00000000)
iedge=   3, ipnt=  19: anal=   0.59889094    0.03756292    0.00000000, ptrb=   0.59892030    0.03771244    0.00000000, dist=   0.00015238 (at    0.59889094    0.03756292    0.00000000)
iedge=   3, ipnt=  20: anal=   0.63032572    0.03109214    0.00000000, ptrb=   0.63035987    0.03125128    0.00000000, dist=   0.00016277 (at    0.63032572    0.03109214    0.00000000)
iedge=   3, ipnt=  21: anal=   0.66164302    0.02407482    0.00000000, ptrb=   0.66168239    0.02424390    0.00000000, dist=   0.00017360 (at    0.66164302    0.02407482    0.00000000)
iedge=   3, ipnt=  22: anal=   0.69283425    0.01651689    0.00000000, ptrb=   0.69287926    0.01669617    0.00000000, dist=   0.00018485 (at    0.69283425    0.01651689    0.00000000)
iedge=   3, ipnt=  23: anal=   0.72389116    0.00842478    0.00000000, ptrb=   0.72394226    0.00861452    0.00000000, dist=   0.00019650 (at    0.72389116    0.00842478    0.00000000)
...too many errors to list
iedge=   4, ipnt=  14: anal=   0.44027629    0.06155631    2.00000000, ptrb=   0.44028768    0.06166351    2.00000000, dist=   0.00010780 (at    0.44027629    0.06155631    2.00000000)
iedge=   4, ipnt=  15: anal=   0.47215929    0.05788344    2.00000000, ptrb=   0.47217348    0.05799808    2.00000000, dist=   0.00011551 (at    0.47215929    0.05788344    2.00000000)
iedge=   4, ipnt=  16: anal=   0.50397221    0.05364606    2.00000000, ptrb=   0.50398965    0.05376887    2.00000000, dist=   0.00012404 (at    0.50397221    0.05364606    2.00000000)
iedge=   4, ipnt=  17: anal=   0.53570485    0.04884422    2.00000000, ptrb=   0.53572587    0.04897554    2.00000000, dist=   0.00013299 (at    0.53570485    0.04884422    2.00000000)
iedge=   4, ipnt=  18: anal=   0.56734758    0.04348186    2.00000000, ptrb=   0.56737258    0.04362210    2.00000000, dist=   0.00014245 (at    0.56734758    0.04348186    2.00000000)
iedge=   4, ipnt=  19: anal=   0.59889094    0.03756292    2.00000000, ptrb=   0.59892030    0.03771244    2.00000000, dist=   0.00015238 (at    0.59889094    0.03756292    2.00000000)
iedge=   4, ipnt=  20: anal=   0.63032572    0.03109214    2.00000000, ptrb=   0.63035987    0.03125128    2.00000000, dist=   0.00016277 (at    0.63032572    0.03109214    2.00000000)
iedge=   4, ipnt=  21: anal=   0.66164302    0.02407482    2.00000000, ptrb=   0.66168239    0.02424390    2.00000000, dist=   0.00017360 (at    0.66164302    0.02407482    2.00000000)
iedge=   4, ipnt=  22: anal=   0.69283425    0.01651689    2.00000000, ptrb=   0.69287926    0.01669617    2.00000000, dist=   0.00018485 (at    0.69283425    0.01651689    2.00000000)
iedge=   4, ipnt=  23: anal=   0.72389116    0.00842478    2.00000000, ptrb=   0.72394226    0.00861452    2.00000000, dist=   0.00019650 (at    0.72389116    0.00842478    2.00000000)
...too many errors to list
    d(Edge)/d(chord) check complete with      103 total errors (errmax=  1.0000e-03)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.1189e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "alpha"
*********************************************************

Generating perturbed configuration with delta-alpha[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  3.8077e-09)
    d(Edge)/d(alpha) check complete with        0 total errors (errmax=  8.7266e-05)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  3.8077e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   4, ipnt=   0: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iedge=   4, ipnt=   1: anal=   0.03001459    0.01136004    2.00000000, ptrb=   0.03001459    0.01136004    2.00200000, dist=   0.00200000 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2: anal=   0.06035660    0.02181646    2.00000000, ptrb=   0.06035660    0.02181646    2.00200000, dist=   0.00200000 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3: anal=   0.09100980    0.03132128    2.00000000, ptrb=   0.09100980    0.03132128    2.00200000, dist=   0.00200000 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4: anal=   0.12195518    0.03982699    2.00000000, ptrb=   0.12195518    0.03982699    2.00200000, dist=   0.00200000 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5: anal=   0.15316927    0.04728673    2.00000000, ptrb=   0.15316927    0.04728673    2.00200000, dist=   0.00200000 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   6: anal=   0.18462423    0.05365522    2.00000000, ptrb=   0.18462423    0.05365522    2.00200000, dist=   0.00200000 (at    0.18462423    0.05365522    2.00000000)
iedge=   4, ipnt=   7: anal=   0.21628775    0.05888968    2.00000000, ptrb=   0.21628775    0.05888968    2.00200000, dist=   0.00200000 (at    0.21628775    0.05888968    2.00000000)
iedge=   4, ipnt=   8: anal=   0.24812310    0.06295089    2.00000000, ptrb=   0.24812310    0.06295089    2.00200000, dist=   0.00200000 (at    0.24812310    0.06295089    2.00000000)
iedge=   4, ipnt=   9: anal=   0.28008943    0.06580401    2.00000000, ptrb=   0.28008943    0.06580401    2.00200000, dist=   0.00200000 (at    0.28008943    0.06580401    2.00000000)
...too many errors to list
    d(Edge)/d(span) check complete with       33 total errors (errmax=  2.0000e-03)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.086 sec

Sensitivity checks complete with      196 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0q.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "camber" for ibody=7
iface=   1, ipnt=  65 (X): anal=  -0.04108819,  fd=  -0.04298972,  err=   0.00190153 (at    0.03001459    0.01136004    0.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.11359852,  fd=   0.11885577,  err=  -0.00525725 (at    0.03001459    0.01136004    0.00000000)
iface=   1, ipnt=  66 (X): anal=  -0.07408618,  fd=  -0.07725669,  err=   0.00317052 (at    0.06035660    0.02181646    0.00000000)
iface=   1, ipnt=  66 (Y): anal=   0.22622433,  fd=   0.23590559,  err=  -0.00968127 (at    0.06035660    0.02181646    0.00000000)
iface=   1, ipnt=  67 (X): anal=  -0.09851672,  fd=  -0.10238719,  err=   0.00387047 (at    0.09100980    0.03132128    0.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.33668466,  fd=   0.34991215,  err=  -0.01322748 (at    0.09100980    0.03132128    0.00000000)
iface=   1, ipnt=  68 (X): anal=  -0.11403991,  fd=  -0.11811788,  err=   0.00407798 (at    0.12195518    0.03982699    0.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.44363307,  fd=   0.45949704,  err=  -0.01586397 (at    0.12195518    0.03982699    0.00000000)
iface=   1, ipnt=  69 (X): anal=  -0.12049434,  fd=  -0.12437586,  err=   0.00388152 (at    0.15316927    0.04728673    0.00000000)
iface=   1, ipnt=  69 (Y): anal=   0.54558162,  fd=   0.56315659,  err=  -0.01757497 (at    0.15316927    0.04728673    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     3900 total errors (errmax=  1.8365e-02)
iedge=   2, ipnt=   1 (X): anal=  -0.04108819,  fd=  -0.04298972,  err=   0.00190153 (at    0.03001459    0.01136004    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.11359852,  fd=   0.11885577,  err=  -0.00525725 (at    0.03001459    0.01136004    0.00000000)
iedge=   2, ipnt=   2 (X): anal=  -0.07408618,  fd=  -0.07725669,  err=   0.00317052 (at    0.06035660    0.02181646    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.22622433,  fd=   0.23590559,  err=  -0.00968127 (at    0.06035660    0.02181646    0.00000000)
iedge=   2, ipnt=   3 (X): anal=  -0.09851672,  fd=  -0.10238719,  err=   0.00387047 (at    0.09100980    0.03132128    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.33668466,  fd=   0.34991215,  err=  -0.01322748 (at    0.09100980    0.03132128    0.00000000)
iedge=   2, ipnt=   4 (X): anal=  -0.11403991,  fd=  -0.11811788,  err=   0.00407798 (at    0.12195518    0.03982699    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.44363307,  fd=   0.45949704,  err=  -0.01586397 (at    0.12195518    0.03982699    0.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.12049434,  fd=  -0.12437586,  err=   0.00388152 (at    0.15316927    0.04728673    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.54558162,  fd=   0.56315659,  err=  -0.01757497 (at    0.15316927    0.04728673    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=  -0.04108819,  fd=  -0.04298972,  err=   0.00190153 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.11359852,  fd=   0.11885577,  err=  -0.00525725 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2 (X): anal=  -0.07408618,  fd=  -0.07725669,  err=   0.00317052 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.22622433,  fd=   0.23590559,  err=  -0.00968127 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3 (X): anal=  -0.09851672,  fd=  -0.10238719,  err=   0.00387047 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.33668466,  fd=   0.34991215,  err=  -0.01322748 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4 (X): anal=  -0.11403991,  fd=  -0.11811788,  err=   0.00407798 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.44363307,  fd=   0.45949704,  err=  -0.01586397 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.12049434,  fd=  -0.12437586,  err=   0.00388152 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.54558162,  fd=   0.56315659,  err=  -0.01757497 (at    0.15316927    0.04728673    2.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      120 total errors (errmax=  1.8365e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "chord" for ibody=7
iface=   1, ipnt=  65 (X): anal=   0.00079071,  fd=  -0.00016116,  err=   0.00095187 (at    0.03001459    0.01136004    0.00000000)
iface=   1, ipnt=  65 (Y): anal=  -0.00218611,  fd=   0.00044557,  err=  -0.00263169 (at    0.03001459    0.01136004    0.00000000)
iface=   1, ipnt=  66 (X): anal=   0.00113594,  fd=  -0.00060641,  err=   0.00174235 (at    0.06035660    0.02181646    0.00000000)
iface=   1, ipnt=  66 (Y): anal=  -0.00346863,  fd=   0.00185169,  err=  -0.00532032 (at    0.06035660    0.02181646    0.00000000)
iface=   1, ipnt=  67 (X): anal=   0.00109365,  fd=  -0.00126439,  err=   0.00235803 (at    0.09100980    0.03132128    0.00000000)
iface=   1, ipnt=  67 (Y): anal=  -0.00373758,  fd=   0.00432109,  err=  -0.00805867 (at    0.09100980    0.03132128    0.00000000)
iface=   1, ipnt=  68 (X): anal=   0.00074178,  fd=  -0.00204410,  err=   0.00278588 (at    0.12195518    0.03982699    0.00000000)
iface=   1, ipnt=  68 (Y): anal=  -0.00288566,  fd=   0.00795185,  err=  -0.01083751 (at    0.12195518    0.03982699    0.00000000)
iface=   1, ipnt=  69 (X): anal=   0.00017951,  fd=  -0.00283415,  err=   0.00301366 (at    0.15316927    0.04728673    0.00000000)
iface=   1, ipnt=  69 (Y): anal=  -0.00081281,  fd=   0.01283262,  err=  -0.01364543 (at    0.15316927    0.04728673    0.00000000)
...too many errors to list
    d(Face)/d(chord) check complete with     4160 total errors (errmax=  7.6975e-02)
iedge=   2, ipnt=   1 (X): anal=   0.00079071,  fd=  -0.00016116,  err=   0.00095187 (at    0.03001459    0.01136004    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=  -0.00218611,  fd=   0.00044557,  err=  -0.00263169 (at    0.03001459    0.01136004    0.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00113594,  fd=  -0.00060641,  err=   0.00174235 (at    0.06035660    0.02181646    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=  -0.00346863,  fd=   0.00185169,  err=  -0.00532032 (at    0.06035660    0.02181646    0.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00109365,  fd=  -0.00126439,  err=   0.00235803 (at    0.09100980    0.03132128    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=  -0.00373758,  fd=   0.00432109,  err=  -0.00805867 (at    0.09100980    0.03132128    0.00000000)
iedge=   2, ipnt=   4 (X): anal=   0.00074178,  fd=  -0.00204410,  err=   0.00278588 (at    0.12195518    0.03982699    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=  -0.00288566,  fd=   0.00795185,  err=  -0.01083751 (at    0.12195518    0.03982699    0.00000000)
iedge=   2, ipnt=   5 (X): anal=   0.00017951,  fd=  -0.00283415,  err=   0.00301366 (at    0.15316927    0.04728673    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=  -0.00081281,  fd=   0.01283262,  err=  -0.01364543 (at    0.15316927    0.04728673    0.00000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.00000000)
iedge=   3, ipnt=   0 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.00000000)
iedge=   3, ipnt=   1 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.03125000)
iedge=   3, ipnt=   1 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.03125000)
iedge=   3, ipnt=   2 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.06250000)
iedge=   3, ipnt=   2 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.06250000)
iedge=   3, ipnt=   3 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.09375000)
iedge=   3, ipnt=   3 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.09375000)
iedge=   3, ipnt=   4 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.12500000)
iedge=   3, ipnt=   4 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.12500000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00079071,  fd=  -0.00016116,  err=   0.00095187 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   1 (Y): anal=  -0.00218611,  fd=   0.00044557,  err=  -0.00263169 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00113594,  fd=  -0.00060641,  err=   0.00174235 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   2 (Y): anal=  -0.00346863,  fd=   0.00185169,  err=  -0.00532032 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00109365,  fd=  -0.00126439,  err=   0.00235803 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   3 (Y): anal=  -0.00373758,  fd=   0.00432109,  err=  -0.00805867 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.00074178,  fd=  -0.00204410,  err=   0.00278588 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   4 (Y): anal=  -0.00288566,  fd=   0.00795185,  err=  -0.01083751 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.00017951,  fd=  -0.00283415,  err=   0.00301366 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   5 (Y): anal=  -0.00081281,  fd=   0.01283262,  err=  -0.01364543 (at    0.15316927    0.04728673    2.00000000)
...too many errors to list
    d(Edge)/d(chord) check complete with      258 total errors (errmax=  8.6492e-02)
inode=   3, ipnt=   0 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    0.00000000)
inode=   3, ipnt=   0 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    0.00000000)
inode=   4, ipnt=   0 (X): anal=   0.98480775,  fd=   0.99619470,  err=  -0.01138694 (at    0.99619470   -0.08715574    2.00000000)
inode=   4, ipnt=   0 (Y): anal=  -0.17364818,  fd=  -0.08715574,  err=  -0.08649243 (at    0.99619470   -0.08715574    2.00000000)
    d(Node)/d(chord) check complete with        4 total errors (errmax=  8.6492e-02)
 

*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "alpha" for ibody=7
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  1.2112e-10)
    d(Edge)/d(alpha) check complete with        0 total errors (errmax=  1.9577e-10)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  8.4743e-11)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "span" for ibody=7
    d(Face)/d(span) check complete with        0 total errors (errmax=  6.9509e-11)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.359 sec

Sensitivity checks complete with     8442 tnotal errors (max config err=  8.6492e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0q.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.8819e-05)
iedge=   2, ipnt=   1: anal=   0.03001459    0.01136004    0.00000000, ptrb=   0.02997121    0.01147851    0.00000000, dist=   0.00012617 (at    0.03001459    0.01136004    0.00000000)
iedge=   2, ipnt=   2: anal=   0.06035660    0.02181646    0.00000000, ptrb=   0.06027859    0.02205171    0.00000000, dist=   0.00024784 (at    0.06035660    0.02181646    0.00000000)
iedge=   2, ipnt=   3: anal=   0.09100980    0.03132128    0.00000000, ptrb=   0.09090632    0.03167036    0.00000000, dist=   0.00036409 (at    0.09100980    0.03132128    0.00000000)
iedge=   2, ipnt=   4: anal=   0.12195518    0.03982699    0.00000000, ptrb=   0.12183567    0.04028557    0.00000000, dist=   0.00047390 (at    0.12195518    0.03982699    0.00000000)
iedge=   2, ipnt=   5: anal=   0.15316927    0.04728673    0.00000000, ptrb=   0.15304329    0.04784898    0.00000000, dist=   0.00057619 (at    0.15316927    0.04728673    0.00000000)
iedge=   2, ipnt=   6: anal=   0.18462423    0.05365522    0.00000000, ptrb=   0.18450118    0.05431369    0.00000000, dist=   0.00066987 (at    0.18462423    0.05365522    0.00000000)
iedge=   2, ipnt=   7: anal=   0.21628775    0.05888968    0.00000000, ptrb=   0.21617661    0.05963528    0.00000000, dist=   0.00075383 (at    0.21628775    0.05888968    0.00000000)
iedge=   2, ipnt=   8: anal=   0.24812310    0.06295089    0.00000000, ptrb=   0.24803215    0.06377287    0.00000000, dist=   0.00082699 (at    0.24812310    0.06295089    0.00000000)
iedge=   2, ipnt=   9: anal=   0.28008943    0.06580401    0.00000000, ptrb=   0.28002594    0.06669008    0.00000000, dist=   0.00088834 (at    0.28008943    0.06580401    0.00000000)
iedge=   2, ipnt=  10: anal=   0.31214226    0.06742061    0.00000000, ptrb=   0.31211215    0.06835710    0.00000000, dist=   0.00093698 (at    0.31214226    0.06742061    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1: anal=   0.03001459    0.01136004    2.00000000, ptrb=   0.02997121    0.01147851    2.00000000, dist=   0.00012617 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2: anal=   0.06035660    0.02181646    2.00000000, ptrb=   0.06027859    0.02205171    2.00000000, dist=   0.00024784 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3: anal=   0.09100980    0.03132128    2.00000000, ptrb=   0.09090632    0.03167036    2.00000000, dist=   0.00036409 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4: anal=   0.12195518    0.03982699    2.00000000, ptrb=   0.12183567    0.04028557    2.00000000, dist=   0.00047390 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5: anal=   0.15316927    0.04728673    2.00000000, ptrb=   0.15304329    0.04784898    2.00000000, dist=   0.00057619 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   6: anal=   0.18462423    0.05365522    2.00000000, ptrb=   0.18450118    0.05431369    2.00000000, dist=   0.00066987 (at    0.18462423    0.05365522    2.00000000)
iedge=   4, ipnt=   7: anal=   0.21628775    0.05888968    2.00000000, ptrb=   0.21617661    0.05963528    2.00000000, dist=   0.00075383 (at    0.21628775    0.05888968    2.00000000)
iedge=   4, ipnt=   8: anal=   0.24812310    0.06295089    2.00000000, ptrb=   0.24803215    0.06377287    2.00000000, dist=   0.00082699 (at    0.24812310    0.06295089    2.00000000)
iedge=   4, ipnt=   9: anal=   0.28008943    0.06580401    2.00000000, ptrb=   0.28002594    0.06669008    2.00000000, dist=   0.00088834 (at    0.28008943    0.06580401    2.00000000)
iedge=   4, ipnt=  10: anal=   0.31214226    0.06742061    2.00000000, ptrb=   0.31211215    0.06835710    2.00000000, dist=   0.00093698 (at    0.31214226    0.06742061    2.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with       60 total errors (errmax=  9.9991e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "chord"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
iface=   1, ipnt=  96: anal=   0.99619470   -0.08715574    0.00000000, ptrb=   0.99632027   -0.08686575    0.00000000, dist=   0.00031601 (at    0.99619470   -0.08715574    0.00000000)
iface=   1, ipnt= 160: anal=   0.99619470   -0.08715574    2.00000000, ptrb=   0.99632027   -0.08686575    2.00000000, dist=   0.00031601 (at    0.99619470   -0.08715574    2.00000000)
    d(Face)/d(chord) check complete with        2 total errors (errmax=  3.1601e-04)
iedge=   2, ipnt=  14: anal=   0.44027629    0.06155631    0.00000000, ptrb=   0.44028768    0.06166351    0.00000000, dist=   0.00010780 (at    0.44027629    0.06155631    0.00000000)
iedge=   2, ipnt=  15: anal=   0.47215929    0.05788344    0.00000000, ptrb=   0.47217348    0.05799808    0.00000000, dist=   0.00011551 (at    0.47215929    0.05788344    0.00000000)
iedge=   2, ipnt=  16: anal=   0.50397221    0.05364606    0.00000000, ptrb=   0.50398965    0.05376887    0.00000000, dist=   0.00012404 (at    0.50397221    0.05364606    0.00000000)
iedge=   2, ipnt=  17: anal=   0.53570485    0.04884422    0.00000000, ptrb=   0.53572587    0.04897554    0.00000000, dist=   0.00013299 (at    0.53570485    0.04884422    0.00000000)
iedge=   2, ipnt=  18: anal=   0.56734758    0.04348186    0.00000000, ptrb=   0.56737258    0.04362210    0.00000000, dist=   0.00014245 (at    0.56734758    0.04348186    0.00000000)
iedge=   2, ipnt=  19: anal=   0.59889094    0.03756292    0.00000000, ptrb=   0.59892030    0.03771244    0.00000000, dist=   0.00015238 (at    0.59889094    0.03756292    0.00000000)
iedge=   2, ipnt=  20: anal=   0.63032572    0.03109214    0.00000000, ptrb=   0.63035987    0.03125128    0.00000000, dist=   0.00016277 (at    0.63032572    0.03109214    0.00000000)
iedge=   2, ipnt=  21: anal=   0.66164302    0.02407482    0.00000000, ptrb=   0.66168239    0.02424390    0.00000000, dist=   0.00017360 (at    0.66164302    0.02407482    0.00000000)
iedge=   2, ipnt=  22: anal=   0.69283425    0.01651689    0.00000000, ptrb=   0.69287926    0.01669617    0.00000000, dist=   0.00018485 (at    0.69283425    0.01651689    0.00000000)
iedge=   2, ipnt=  23: anal=   0.72389116    0.00842478    0.00000000, ptrb=   0.72394226    0.00861452    0.00000000, dist=   0.00019650 (at    0.72389116    0.00842478    0.00000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=   0.99619470   -0.08715574    0.00000000, ptrb=   0.99719089   -0.08724290    0.00000000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.00000000)
iedge=   3, ipnt=   1: anal=   0.99619470   -0.08715574    0.03125000, ptrb=   0.99719089   -0.08724290    0.03125000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.03125000)
iedge=   3, ipnt=   2: anal=   0.99619470   -0.08715574    0.06250000, ptrb=   0.99719089   -0.08724290    0.06250000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.06250000)
iedge=   3, ipnt=   3: anal=   0.99619470   -0.08715574    0.09375000, ptrb=   0.99719089   -0.08724290    0.09375000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.09375000)
iedge=   3, ipnt=   4: anal=   0.99619470   -0.08715574    0.12500000, ptrb=   0.99719089   -0.08724290    0.12500000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.12500000)
iedge=   3, ipnt=   5: anal=   0.99619470   -0.08715574    0.15625000, ptrb=   0.99719089   -0.08724290    0.15625000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.15625000)
iedge=   3, ipnt=   6: anal=   0.99619470   -0.08715574    0.18750000, ptrb=   0.99719089   -0.08724290    0.18750000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.18750000)
iedge=   3, ipnt=   7: anal=   0.99619470   -0.08715574    0.21875000, ptrb=   0.99719089   -0.08724290    0.21875000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.21875000)
iedge=   3, ipnt=   8: anal=   0.99619470   -0.08715574    0.25000000, ptrb=   0.99719089   -0.08724290    0.25000000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.25000000)
iedge=   3, ipnt=   9: anal=   0.99619470   -0.08715574    0.28125000, ptrb=   0.99719089   -0.08724290    0.28125000, dist=   0.00100000 (at    0.99619470   -0.08715574    0.28125000)
...too many errors to list
iedge=   4, ipnt=  14: anal=   0.44027629    0.06155631    2.00000000, ptrb=   0.44028768    0.06166351    2.00000000, dist=   0.00010780 (at    0.44027629    0.06155631    2.00000000)
iedge=   4, ipnt=  15: anal=   0.47215929    0.05788344    2.00000000, ptrb=   0.47217348    0.05799808    2.00000000, dist=   0.00011551 (at    0.47215929    0.05788344    2.00000000)
iedge=   4, ipnt=  16: anal=   0.50397221    0.05364606    2.00000000, ptrb=   0.50398965    0.05376887    2.00000000, dist=   0.00012404 (at    0.50397221    0.05364606    2.00000000)
iedge=   4, ipnt=  17: anal=   0.53570485    0.04884422    2.00000000, ptrb=   0.53572587    0.04897554    2.00000000, dist=   0.00013299 (at    0.53570485    0.04884422    2.00000000)
iedge=   4, ipnt=  18: anal=   0.56734758    0.04348186    2.00000000, ptrb=   0.56737258    0.04362210    2.00000000, dist=   0.00014245 (at    0.56734758    0.04348186    2.00000000)
iedge=   4, ipnt=  19: anal=   0.59889094    0.03756292    2.00000000, ptrb=   0.59892030    0.03771244    2.00000000, dist=   0.00015238 (at    0.59889094    0.03756292    2.00000000)
iedge=   4, ipnt=  20: anal=   0.63032572    0.03109214    2.00000000, ptrb=   0.63035987    0.03125128    2.00000000, dist=   0.00016277 (at    0.63032572    0.03109214    2.00000000)
iedge=   4, ipnt=  21: anal=   0.66164302    0.02407482    2.00000000, ptrb=   0.66168239    0.02424390    2.00000000, dist=   0.00017360 (at    0.66164302    0.02407482    2.00000000)
iedge=   4, ipnt=  22: anal=   0.69283425    0.01651689    2.00000000, ptrb=   0.69287926    0.01669617    2.00000000, dist=   0.00018485 (at    0.69283425    0.01651689    2.00000000)
iedge=   4, ipnt=  23: anal=   0.72389116    0.00842478    2.00000000, ptrb=   0.72394226    0.00861452    2.00000000, dist=   0.00019650 (at    0.72389116    0.00842478    2.00000000)
...too many errors to list
    d(Edge)/d(chord) check complete with      103 total errors (errmax=  1.0000e-03)
inode=   3:            anal=   0.99619470   -0.08715574    0.00000000, ptrb=   0.99719089   -0.08724290    0.00000000, dist=   0.00100000 (at    0.99719089   -0.08724290    0.00000000)
inode=   4:            anal=   0.99619470   -0.08715574    2.00000000, ptrb=   0.99719089   -0.08724290    2.00000000, dist=   0.00100000 (at    0.99719089   -0.08724290    2.00000000)
    d(Node)/d(chord) check complete with        2 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "alpha"
*********************************************************

Generating perturbed configuration with delta-alpha[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(alpha) check complete with        0 total errors (errmax=  3.8077e-09)
    d(Edge)/d(alpha) check complete with        0 total errors (errmax=  8.7266e-05)
    d(Node)/d(alpha) check complete with        0 total errors (errmax=  3.8077e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(span) check complete with        0 total errors (errmax=  1.3323e-15)
iedge=   4, ipnt=   0: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iedge=   4, ipnt=   1: anal=   0.03001459    0.01136004    2.00000000, ptrb=   0.03001459    0.01136004    2.00200000, dist=   0.00200000 (at    0.03001459    0.01136004    2.00000000)
iedge=   4, ipnt=   2: anal=   0.06035660    0.02181646    2.00000000, ptrb=   0.06035660    0.02181646    2.00200000, dist=   0.00200000 (at    0.06035660    0.02181646    2.00000000)
iedge=   4, ipnt=   3: anal=   0.09100980    0.03132128    2.00000000, ptrb=   0.09100980    0.03132128    2.00200000, dist=   0.00200000 (at    0.09100980    0.03132128    2.00000000)
iedge=   4, ipnt=   4: anal=   0.12195518    0.03982699    2.00000000, ptrb=   0.12195518    0.03982699    2.00200000, dist=   0.00200000 (at    0.12195518    0.03982699    2.00000000)
iedge=   4, ipnt=   5: anal=   0.15316927    0.04728673    2.00000000, ptrb=   0.15316927    0.04728673    2.00200000, dist=   0.00200000 (at    0.15316927    0.04728673    2.00000000)
iedge=   4, ipnt=   6: anal=   0.18462423    0.05365522    2.00000000, ptrb=   0.18462423    0.05365522    2.00200000, dist=   0.00200000 (at    0.18462423    0.05365522    2.00000000)
iedge=   4, ipnt=   7: anal=   0.21628775    0.05888968    2.00000000, ptrb=   0.21628775    0.05888968    2.00200000, dist=   0.00200000 (at    0.21628775    0.05888968    2.00000000)
iedge=   4, ipnt=   8: anal=   0.24812310    0.06295089    2.00000000, ptrb=   0.24812310    0.06295089    2.00200000, dist=   0.00200000 (at    0.24812310    0.06295089    2.00000000)
iedge=   4, ipnt=   9: anal=   0.28008943    0.06580401    2.00000000, ptrb=   0.28008943    0.06580401    2.00200000, dist=   0.00200000 (at    0.28008943    0.06580401    2.00000000)
...too many errors to list
    d(Edge)/d(span) check complete with       33 total errors (errmax=  2.0000e-03)
inode=   2:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   4:            anal=   0.99619470   -0.08715574    2.00000000, ptrb=   0.99619470   -0.08715574    2.00200000, dist=   0.00200000 (at    0.99619470   -0.08715574    2.00200000)
    d(Node)/d(span) check complete with        2 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.389 sec

Sensitivity checks complete with      202 total errors (max tessel err=  2.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0r.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "xbeg" for ibody=11
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "xend" for ibody=11
    d(Face)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "rad" for ibody=11
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.9385e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.3091e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  2.8525e-07)
 

*********************************************************
Starting configuration sensitivity wrt "size1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "size1" for ibody=11
    d(Face)/d(size1) check complete with        0 total errors (errmax=  3.0346e-07)
    d(Edge)/d(size1) check complete with        0 total errors (errmax=  3.6107e-07)
    d(Node)/d(size1) check complete with        0 total errors (errmax=  4.4600e-07)
 

*********************************************************
Starting configuration sensitivity wrt "angl1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "angl1" for ibody=11
    d(Face)/d(angl1) check complete with        0 total errors (errmax=  6.1933e-10)
    d(Edge)/d(angl1) check complete with        0 total errors (errmax=  6.3286e-10)
    d(Node)/d(angl1) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dx1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dx1" for ibody=11
    d(Face)/d(dx1) check complete with        0 total errors (errmax=  2.0767e-10)
    d(Edge)/d(dx1) check complete with        0 total errors (errmax=  2.4796e-10)
    d(Node)/d(dx1) check complete with        0 total errors (errmax=  1.6063e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dy1" for ibody=11
    d(Face)/d(dy1) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dy1) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dy1) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dz1" for ibody=11
    d(Face)/d(dz1) check complete with        0 total errors (errmax=  6.0877e-07)
    d(Edge)/d(dz1) check complete with        0 total errors (errmax=  7.2194e-07)
    d(Node)/d(dz1) check complete with        0 total errors (errmax=  8.9182e-07)
 

*********************************************************
Starting configuration sensitivity wrt "size2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "size2" for ibody=11
    d(Face)/d(size2) check complete with        0 total errors (errmax=  1.3640e-07)
    d(Edge)/d(size2) check complete with        0 total errors (errmax=  1.6239e-07)
    d(Node)/d(size2) check complete with        0 total errors (errmax=  1.6239e-07)
 

*********************************************************
Starting configuration sensitivity wrt "angl2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "angl2" for ibody=11
iface=   5, ipnt=   1 (X): anal=   0.00530163,  fd=   0.00000000,  err=   0.00530163 (at    0.60000000    0.95274829    0.30376093)
iface=   5, ipnt=   2 (X): anal=   0.00356588,  fd=   0.00000000,  err=   0.00356588 (at    0.60000000    0.97890631    0.20430964)
iface=   5, ipnt=   3 (X): anal=   0.00179242,  fd=   0.00000000,  err=   0.00179242 (at    0.60000000    0.99471260    0.10269783)
iface=   5, ipnt=   5 (X): anal=  -0.00179242,  fd=   0.00000000,  err=  -0.00179242 (at    0.60000000    0.99471260   -0.10269783)
iface=   5, ipnt=   6 (X): anal=  -0.00356588,  fd=   0.00000000,  err=  -0.00356588 (at    0.60000000    0.97890631   -0.20430964)
iface=   5, ipnt=   7 (X): anal=  -0.00530163,  fd=   0.00000000,  err=  -0.00530163 (at    0.60000000    0.95274829   -0.30376093)
iface=   7, ipnt=   9 (X): anal=   0.00530163,  fd=   0.00000000,  err=   0.00530163 (at    1.40000000    0.95274829    0.30376093)
iface=   7, ipnt=  10 (X): anal=   0.00356588,  fd=   0.00000000,  err=   0.00356588 (at    1.40000000    0.97890631    0.20430964)
iface=   7, ipnt=  11 (X): anal=   0.00179242,  fd=   0.00000000,  err=   0.00179242 (at    1.40000000    0.99471260    0.10269783)
iface=   7, ipnt=  13 (X): anal=  -0.00179242,  fd=   0.00000000,  err=  -0.00179242 (at    1.40000000    0.99471260   -0.10269783)
iface=   7, ipnt=  14 (X): anal=  -0.00356588,  fd=   0.00000000,  err=  -0.00356588 (at    1.40000000    0.97890631   -0.20430964)
iface=   7, ipnt=  15 (X): anal=  -0.00530163,  fd=   0.00000000,  err=  -0.00530163 (at    1.40000000    0.95274829   -0.30376093)
    d(Face)/d(angl2) check complete with       12 total errors (errmax=  5.3016e-03)
iedge=   7, ipnt=   1 (X): anal=  -0.00530163,  fd=   0.00000000,  err=  -0.00530163 (at    0.60000000    0.95274829   -0.30376093)
iedge=   7, ipnt=   2 (X): anal=  -0.00356588,  fd=   0.00000000,  err=  -0.00356588 (at    0.60000000    0.97890631   -0.20430964)
iedge=   7, ipnt=   3 (X): anal=  -0.00179242,  fd=   0.00000000,  err=  -0.00179242 (at    0.60000000    0.99471260   -0.10269783)
iedge=   7, ipnt=   5 (X): anal=   0.00179242,  fd=   0.00000000,  err=   0.00179242 (at    0.60000000    0.99471260    0.10269783)
iedge=   7, ipnt=   6 (X): anal=   0.00356588,  fd=   0.00000000,  err=   0.00356588 (at    0.60000000    0.97890631    0.20430964)
iedge=   7, ipnt=   7 (X): anal=   0.00530163,  fd=   0.00000000,  err=   0.00530163 (at    0.60000000    0.95274829    0.30376093)
iedge=   9, ipnt=   1 (X): anal=  -0.00530163,  fd=   0.00000000,  err=  -0.00530163 (at    1.40000000    0.95274829   -0.30376093)
iedge=   9, ipnt=   2 (X): anal=  -0.00356588,  fd=   0.00000000,  err=  -0.00356588 (at    1.40000000    0.97890631   -0.20430964)
iedge=   9, ipnt=   3 (X): anal=  -0.00179242,  fd=   0.00000000,  err=  -0.00179242 (at    1.40000000    0.99471260   -0.10269783)
iedge=   9, ipnt=   5 (X): anal=   0.00179242,  fd=   0.00000000,  err=   0.00179242 (at    1.40000000    0.99471260    0.10269783)
iedge=   9, ipnt=   6 (X): anal=   0.00356588,  fd=   0.00000000,  err=   0.00356588 (at    1.40000000    0.97890631    0.20430964)
iedge=   9, ipnt=   7 (X): anal=   0.00530163,  fd=   0.00000000,  err=   0.00530163 (at    1.40000000    0.95274829    0.30376093)
    d(Edge)/d(angl2) check complete with       12 total errors (errmax=  5.3016e-03)
    d(Node)/d(angl2) check complete with        0 total errors (errmax=  2.9406e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dx2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dx2" for ibody=11
    d(Face)/d(dx2) check complete with        0 total errors (errmax=  3.0431e-10)
    d(Edge)/d(dx2) check complete with        0 total errors (errmax=  3.0431e-10)
    d(Node)/d(dx2) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dy2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dy2" for ibody=11
    d(Face)/d(dy2) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dy2) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dy2) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dz2" for ibody=11
    d(Face)/d(dz2) check complete with        0 total errors (errmax=  5.9519e-07)
    d(Edge)/d(dz2) check complete with        0 total errors (errmax=  6.4944e-07)
    d(Node)/d(dz2) check complete with        0 total errors (errmax=  6.4944e-07)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dx" for ibody=11
    d(Face)/d(dx) check complete with        0 total errors (errmax=  2.0767e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.4557e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.6063e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dy" for ibody=11
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dz" for ibody=11
    d(Face)/d(dz) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  2.2038e-10)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  2.1696e-10)
 

*********************************************************
Starting configuration sensitivity wrt "sfac"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "sfac" for ibody=11
    d(Face)/d(sfac) check complete with        0 total errors (errmax=  2.1069e-10)
    d(Edge)/d(sfac) check complete with        0 total errors (errmax=  2.8428e-10)
    d(Node)/d(sfac) check complete with        0 total errors (errmax=  1.9329e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.105 sec

Sensitivity checks complete with       24 tnotal errors (max config err=  5.3016e-03) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0r.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  4.3798e-16)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(xend) check complete with        0 total errors (errmax=  6.1394e-10)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  4.1541e-16)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.3506e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.5642e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  2.8492e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "size1"
*********************************************************

Generating perturbed configuration with delta-size1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(size1) check complete with        0 total errors (errmax=  3.6765e-07)
    d(Edge)/d(size1) check complete with        0 total errors (errmax=  4.0123e-07)
    d(Node)/d(size1) check complete with        0 total errors (errmax=  4.4610e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "angl1"
*********************************************************

Generating perturbed configuration with delta-angl1[1,1]=   0.04500000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(angl1) check complete with        0 total errors (errmax=  1.2343e-07)
    d(Edge)/d(angl1) check complete with        0 total errors (errmax=  2.0045e-07)
    d(Node)/d(angl1) check complete with        0 total errors (errmax=  2.1158e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "dx1"
*********************************************************

Generating perturbed configuration with delta-dx1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dx1) check complete with        0 total errors (errmax=  2.0550e-13)
    d(Edge)/d(dx1) check complete with        0 total errors (errmax=  1.6065e-13)
    d(Node)/d(dx1) check complete with        0 total errors (errmax=  2.0550e-13)
 

*********************************************************
Starting tessellation sensitivity wrt "dy1"
*********************************************************

Generating perturbed configuration with delta-dy1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dy1) check complete with        0 total errors (errmax=  6.1394e-10)
    d(Edge)/d(dy1) check complete with        0 total errors (errmax=  4.1541e-16)
    d(Node)/d(dy1) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dz1"
*********************************************************

Generating perturbed configuration with delta-dz1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dz1) check complete with        0 total errors (errmax=  7.3529e-07)
    d(Edge)/d(dz1) check complete with        0 total errors (errmax=  8.0254e-07)
    d(Node)/d(dz1) check complete with        0 total errors (errmax=  8.9242e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "size2"
*********************************************************

Generating perturbed configuration with delta-size2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(size2) check complete with        0 total errors (errmax=  1.4881e-07)
    d(Edge)/d(size2) check complete with        0 total errors (errmax=  1.6240e-07)
    d(Node)/d(size2) check complete with        0 total errors (errmax=  1.6240e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "angl2"
*********************************************************

Generating perturbed configuration with delta-angl2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   5, ipnt=   0: anal=   0.60000698    0.91651209    0.40000698, ptrb=   0.59999302    0.91651209   -0.39999302, dist=   0.80000000 (at    0.60000000    0.91651514    0.40000000)
iface=   5, ipnt=   1: anal=   0.60000530    0.95274590    0.30376843, ptrb=   0.59999302    0.95274590   -0.39999302, dist=   0.70376144 (at    0.60000000    0.95274829    0.30376093)
iface=   5, ipnt=   2: anal=   0.60000357    0.97890467    0.20431753, ptrb=   0.59999302    0.97890467   -0.39999302, dist=   0.60431055 (at    0.60000000    0.97890631    0.20430964)
iface=   5, ipnt=   3: anal=   0.60000179    0.99471176    0.10270595, ptrb=   0.59999302    0.99471176   -0.39999302, dist=   0.50269897 (at    0.60000000    0.99471260    0.10269783)
iface=   5, ipnt=   4: anal=   0.60000000    1.00000000    0.00000820, ptrb=   0.59999302    1.00000000   -0.39999302, dist=   0.40000122 (at    0.60000000    1.00000000   -0.00000000)
iface=   5, ipnt=   5: anal=   0.59999821    0.99471344   -0.10268971, ptrb=   0.59999302    0.99471344   -0.39999302, dist=   0.29730331 (at    0.60000000    0.99471260   -0.10269783)
iface=   5, ipnt=   6: anal=   0.59999643    0.97890796   -0.20430176, ptrb=   0.59999302    0.97890796   -0.39999302, dist=   0.19569126 (at    0.60000000    0.97890631   -0.20430964)
iface=   5, ipnt=   7: anal=   0.59999470    0.95275068   -0.30375343, ptrb=   0.59999302    0.95275068   -0.39999302, dist=   0.09623959 (at    0.60000000    0.95274829   -0.30376093)
iface=   5, ipnt=  17: anal=   0.59999476    2.00000000   -0.29999302, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.10000000 (at    0.60000000    2.00000000   -0.30000000)
iface=   5, ipnt=  18: anal=   0.59999651    2.00000000   -0.19999302, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.20000000 (at    0.60000000    2.00000000   -0.20000000)
...too many errors to list
iface=   6, ipnt=   9: anal=   0.70000698    0.91651285    0.40000524, ptrb=   0.60000698    0.91651285    0.40000698, dist=   0.10000000 (at    0.70000000    0.91651514    0.40000000)
iface=   6, ipnt=  10: anal=   0.80000698    0.91651362    0.40000349, ptrb=   0.60000698    0.91651362    0.40000698, dist=   0.20000000 (at    0.80000000    0.91651514    0.40000000)
iface=   6, ipnt=  11: anal=   0.90000698    0.91651438    0.40000175, ptrb=   0.60000698    0.91651438    0.40000698, dist=   0.30000000 (at    0.90000000    0.91651514    0.40000000)
iface=   6, ipnt=  12: anal=   1.00000698    0.91651514    0.40000000, ptrb=   0.60000698    0.91651514    0.40000698, dist=   0.40000000 (at    1.00000000    0.91651514    0.40000000)
iface=   6, ipnt=  13: anal=   1.10000698    0.91651590    0.39999825, ptrb=   0.60000698    0.91651590    0.40000698, dist=   0.50000000 (at    1.10000000    0.91651514    0.40000000)
iface=   6, ipnt=  14: anal=   1.20000698    0.91651666    0.39999651, ptrb=   0.60000698    0.91651666    0.40000698, dist=   0.60000000 (at    1.20000000    0.91651514    0.40000000)
iface=   6, ipnt=  15: anal=   1.30000698    0.91651742    0.39999476, ptrb=   0.60000698    0.91651742    0.40000698, dist=   0.70000000 (at    1.30000000    0.91651514    0.40000000)
iface=   6, ipnt=  16: anal=   1.40000698    0.91651819    0.39999302, ptrb=   0.60000698    0.91651819    0.40000698, dist=   0.80000000 (at    1.40000000    0.91651514    0.40000000)
iface=   6, ipnt=  17: anal=   1.40000698    1.05195341    0.39999302, ptrb=   0.60000698    1.05195341    0.40000698, dist=   0.80000000 (at    1.40000000    1.05195075    0.40000000)
iface=   6, ipnt=  18: anal=   1.40000698    1.18738864    0.39999302, ptrb=   0.60000698    1.18738864    0.40000698, dist=   0.80000000 (at    1.40000000    1.18738635    0.40000000)
...too many errors to list
iface=   7, ipnt=   9: anal=   1.40000530    0.95275060    0.30375367, ptrb=   1.40000698    0.95275060    0.39999302, dist=   0.09623935 (at    1.40000000    0.95274829    0.30376093)
iface=   7, ipnt=  10: anal=   1.40000357    0.97890787    0.20430219, ptrb=   1.40000698    0.97890787    0.39999302, dist=   0.19569083 (at    1.40000000    0.97890631    0.20430964)
iface=   7, ipnt=  11: anal=   1.40000179    0.99471338    0.10269025, ptrb=   1.40000698    0.99471338    0.39999302, dist=   0.29730277 (at    1.40000000    0.99471260    0.10269783)
iface=   7, ipnt=  12: anal=   1.40000000    1.00000000   -0.00000762, ptrb=   1.40000698    1.00000000    0.39999302, dist=   0.40000064 (at    1.40000000    1.00000000   -0.00000000)
iface=   7, ipnt=  13: anal=   1.39999821    0.99471182   -0.10270540, ptrb=   1.40000698    0.99471182    0.39999302, dist=   0.50269842 (at    1.40000000    0.99471260   -0.10269783)
iface=   7, ipnt=  14: anal=   1.39999643    0.97890476   -0.20431710, ptrb=   1.40000698    0.97890476    0.39999302, dist=   0.60431012 (at    1.40000000    0.97890631   -0.20430964)
iface=   7, ipnt=  15: anal=   1.39999470    0.95274597   -0.30376818, ptrb=   1.40000698    0.95274597    0.39999302, dist=   0.70376120 (at    1.40000000    0.95274829   -0.30376093)
iface=   7, ipnt=  16: anal=   1.39999302    0.91651209   -0.40000698, ptrb=   1.40000698    0.91651209    0.39999302, dist=   0.80000000 (at    1.40000000    0.91651514   -0.40000000)
iface=   7, ipnt=  17: anal=   1.39999302    1.05194808   -0.40000698, ptrb=   1.40000698    1.05194808    0.39999302, dist=   0.80000000 (at    1.40000000    1.05195075   -0.40000000)
iface=   7, ipnt=  18: anal=   1.39999302    1.18738407   -0.40000698, ptrb=   1.40000698    1.18738407    0.39999302, dist=   0.80000000 (at    1.40000000    1.18738635   -0.40000000)
...too many errors to list
iface=   8, ipnt=   0: anal=   0.59999302    0.91651819   -0.39999302, ptrb=   1.39999302    0.91651819   -0.40000698, dist=   0.80000000 (at    0.60000000    0.91651514   -0.40000000)
iface=   8, ipnt=   1: anal=   0.69999302    0.91651742   -0.39999476, ptrb=   1.39999302    0.91651742   -0.40000698, dist=   0.70000000 (at    0.70000000    0.91651514   -0.40000000)
iface=   8, ipnt=   2: anal=   0.79999302    0.91651666   -0.39999651, ptrb=   1.39999302    0.91651666   -0.40000698, dist=   0.60000000 (at    0.80000000    0.91651514   -0.40000000)
iface=   8, ipnt=   3: anal=   0.89999302    0.91651590   -0.39999825, ptrb=   1.39999302    0.91651590   -0.40000698, dist=   0.50000000 (at    0.90000000    0.91651514   -0.40000000)
iface=   8, ipnt=   4: anal=   0.99999302    0.91651514   -0.40000000, ptrb=   1.39999302    0.91651514   -0.40000698, dist=   0.40000000 (at    1.00000000    0.91651514   -0.40000000)
iface=   8, ipnt=   5: anal=   1.09999302    0.91651438   -0.40000175, ptrb=   1.39999302    0.91651438   -0.40000698, dist=   0.30000000 (at    1.10000000    0.91651514   -0.40000000)
iface=   8, ipnt=   6: anal=   1.19999302    0.91651362   -0.40000349, ptrb=   1.39999302    0.91651362   -0.40000698, dist=   0.20000000 (at    1.20000000    0.91651514   -0.40000000)
iface=   8, ipnt=   7: anal=   1.29999302    0.91651285   -0.40000524, ptrb=   1.39999302    0.91651285   -0.40000698, dist=   0.10000000 (at    1.30000000    0.91651514   -0.40000000)
iface=   8, ipnt=  17: anal=   1.29999302    2.00000000   -0.40000524, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.10000000 (at    1.30000000    2.00000000   -0.40000000)
iface=   8, ipnt=  18: anal=   1.19999302    2.00000000   -0.40000349, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.20000000 (at    1.20000000    2.00000000   -0.40000000)
...too many errors to list
    d(Face)/d(angl2) check complete with      288 total errors (errmax=  8.0000e-01)
iedge=   7, ipnt=   1: anal=   0.59999470    0.95275068   -0.30375343, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.10283410 (at    0.60000000    0.95274829   -0.30376093)
iedge=   7, ipnt=   2: anal=   0.59999643    0.97890796   -0.20430176, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.20539609 (at    0.60000000    0.97890631   -0.20430964)
iedge=   7, ipnt=   3: anal=   0.59999821    0.99471344   -0.10268971, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.30741463 (at    0.60000000    0.99471260   -0.10269783)
iedge=   7, ipnt=   4: anal=   0.60000000    1.00000000    0.00000820, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.40861986 (at    0.60000000    1.00000000   -0.00000000)
iedge=   7, ipnt=   5: anal=   0.60000179    0.99471176    0.10270595, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.50874403 (at    0.60000000    0.99471260    0.10269783)
iedge=   7, ipnt=   6: anal=   0.60000357    0.97890467    0.20431753, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.60752227 (at    0.60000000    0.97890631    0.20430964)
iedge=   7, ipnt=   7: anal=   0.60000530    0.95274590    0.30376843, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.70469328 (at    0.60000000    0.95274829    0.30376093)
iedge=   7, ipnt=   8: anal=   0.60000698    0.91651209    0.40000698, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.80000000 (at    0.60000000    0.91651514    0.40000000)
iedge=   8, ipnt=   1: anal=   0.70000698    0.91651285    0.40000524, ptrb=   0.60000698    0.91651221    0.40000670, dist=   0.10000000 (at    0.70000000    0.91651514    0.40000000)
iedge=   8, ipnt=   2: anal=   0.80000698    0.91651362    0.40000349, ptrb=   0.60000698    0.91651234    0.40000642, dist=   0.20000000 (at    0.80000000    0.91651514    0.40000000)
iedge=   8, ipnt=   3: anal=   0.90000698    0.91651438    0.40000175, ptrb=   0.60000698    0.91651246    0.40000614, dist=   0.30000000 (at    0.90000000    0.91651514    0.40000000)
iedge=   8, ipnt=   4: anal=   1.00000698    0.91651514    0.40000000, ptrb=   0.60000698    0.91651258    0.40000586, dist=   0.40000000 (at    1.00000000    0.91651514    0.40000000)
iedge=   8, ipnt=   5: anal=   1.10000698    0.91651590    0.39999825, ptrb=   0.60000698    0.91651270    0.40000559, dist=   0.50000000 (at    1.10000000    0.91651514    0.40000000)
iedge=   8, ipnt=   6: anal=   1.20000698    0.91651666    0.39999651, ptrb=   0.60000698    0.91651282    0.40000531, dist=   0.60000000 (at    1.20000000    0.91651514    0.40000000)
iedge=   8, ipnt=   7: anal=   1.30000698    0.91651742    0.39999476, ptrb=   0.60000698    0.91651295    0.40000503, dist=   0.70000000 (at    1.30000000    0.91651514    0.40000000)
iedge=   8, ipnt=   8: anal=   1.40000698    0.91651819    0.39999302, ptrb=   0.60000698    0.91651307    0.40000475, dist=   0.80000000 (at    1.40000000    0.91651514    0.40000000)
iedge=   9, ipnt=   0: anal=   1.39999302    0.91651209   -0.40000698, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.80000000 (at    1.40000000    0.91651514   -0.40000000)
iedge=   9, ipnt=   1: anal=   1.39999470    0.95274597   -0.30376818, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.70469304 (at    1.40000000    0.95274829   -0.30376093)
iedge=   9, ipnt=   2: anal=   1.39999643    0.97890476   -0.20431710, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.60752185 (at    1.40000000    0.97890631   -0.20430964)
iedge=   9, ipnt=   3: anal=   1.39999821    0.99471182   -0.10270540, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.50874350 (at    1.40000000    0.99471260   -0.10269783)
iedge=   9, ipnt=   4: anal=   1.40000000    1.00000000   -0.00000762, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.40861929 (at    1.40000000    1.00000000   -0.00000000)
iedge=   9, ipnt=   5: anal=   1.40000179    0.99471338    0.10269025, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.30741409 (at    1.40000000    0.99471260    0.10269783)
iedge=   9, ipnt=   6: anal=   1.40000357    0.97890787    0.20430219, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.20539565 (at    1.40000000    0.97890631    0.20430964)
iedge=   9, ipnt=   7: anal=   1.40000530    0.95275060    0.30375367, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.10283385 (at    1.40000000    0.95274829    0.30376093)
iedge=  10, ipnt=   0: anal=   0.59999302    0.91651819   -0.39999302, ptrb=   1.39999302    0.91651307   -0.40000475, dist=   0.80000000 (at    0.60000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   1: anal=   0.69999302    0.91651742   -0.39999476, ptrb=   1.39999302    0.91651295   -0.40000503, dist=   0.70000000 (at    0.70000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   2: anal=   0.79999302    0.91651666   -0.39999651, ptrb=   1.39999302    0.91651282   -0.40000531, dist=   0.60000000 (at    0.80000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   3: anal=   0.89999302    0.91651590   -0.39999825, ptrb=   1.39999302    0.91651270   -0.40000559, dist=   0.50000000 (at    0.90000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   4: anal=   0.99999302    0.91651514   -0.40000000, ptrb=   1.39999302    0.91651258   -0.40000586, dist=   0.40000000 (at    1.00000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   5: anal=   1.09999302    0.91651438   -0.40000175, ptrb=   1.39999302    0.91651246   -0.40000614, dist=   0.30000000 (at    1.10000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   6: anal=   1.19999302    0.91651362   -0.40000349, ptrb=   1.39999302    0.91651234   -0.40000642, dist=   0.20000000 (at    1.20000000    0.91651514   -0.40000000)
iedge=  10, ipnt=   7: anal=   1.29999302    0.91651285   -0.40000524, ptrb=   1.39999302    0.91651221   -0.40000670, dist=   0.10000000 (at    1.30000000    0.91651514   -0.40000000)
iedge=  15, ipnt=   0: anal=   0.60000698    0.91651209    0.40000698, ptrb=   0.59999302    0.91651514   -0.39999302, dist=   0.80000000 (at    0.60000000    0.91651514    0.40000000)
iedge=  15, ipnt=   1: anal=   0.60000698    1.05194808    0.40000698, ptrb=   0.59999302    1.05194808   -0.39999302, dist=   0.80000000 (at    0.60000000    1.05195075    0.40000000)
iedge=  15, ipnt=   2: anal=   0.60000698    1.18738407    0.40000698, ptrb=   0.59999302    1.18738407   -0.39999302, dist=   0.80000000 (at    0.60000000    1.18738635    0.40000000)
iedge=  15, ipnt=   3: anal=   0.60000698    1.32282006    0.40000698, ptrb=   0.59999302    1.32282006   -0.39999302, dist=   0.80000000 (at    0.60000000    1.32282196    0.40000000)
iedge=  15, ipnt=   4: anal=   0.60000698    1.45825605    0.40000698, ptrb=   0.59999302    1.45825605   -0.39999302, dist=   0.80000000 (at    0.60000000    1.45825757    0.40000000)
iedge=  15, ipnt=   5: anal=   0.60000698    1.59369203    0.40000698, ptrb=   0.59999302    1.59369203   -0.39999302, dist=   0.80000000 (at    0.60000000    1.59369318    0.40000000)
iedge=  15, ipnt=   6: anal=   0.60000698    1.72912802    0.40000698, ptrb=   0.59999302    1.72912802   -0.39999302, dist=   0.80000000 (at    0.60000000    1.72912878    0.40000000)
iedge=  15, ipnt=   7: anal=   0.60000698    1.86456401    0.40000698, ptrb=   0.59999302    1.86456401   -0.39999302, dist=   0.80000000 (at    0.60000000    1.86456439    0.40000000)
iedge=  15, ipnt=   8: anal=   0.60000698    2.00000000    0.40000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.80000000 (at    0.60000000    2.00000000    0.40000000)
iedge=  16, ipnt=   1: anal=   0.59999476    2.00000000   -0.29999302, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.10000000 (at    0.60000000    2.00000000   -0.30000000)
iedge=  16, ipnt=   2: anal=   0.59999651    2.00000000   -0.19999302, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.20000000 (at    0.60000000    2.00000000   -0.20000000)
iedge=  16, ipnt=   3: anal=   0.59999825    2.00000000   -0.09999302, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.30000000 (at    0.60000000    2.00000000   -0.10000000)
iedge=  16, ipnt=   4: anal=   0.60000000    2.00000000    0.00000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.40000000 (at    0.60000000    2.00000000    0.00000000)
iedge=  16, ipnt=   5: anal=   0.60000175    2.00000000    0.10000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.50000000 (at    0.60000000    2.00000000    0.10000000)
iedge=  16, ipnt=   6: anal=   0.60000349    2.00000000    0.20000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.60000000 (at    0.60000000    2.00000000    0.20000000)
iedge=  16, ipnt=   7: anal=   0.60000524    2.00000000    0.30000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.70000000 (at    0.60000000    2.00000000    0.30000000)
iedge=  16, ipnt=   8: anal=   0.60000698    2.00000000    0.40000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.80000000 (at    0.60000000    2.00000000    0.40000000)
iedge=  17, ipnt=   0: anal=   0.59999302    0.91651819   -0.39999302, ptrb=   1.39999302    0.91651819   -0.40000698, dist=   0.80000000 (at    0.60000000    0.91651514   -0.40000000)
iedge=  17, ipnt=   1: anal=   0.59999302    1.05195341   -0.39999302, ptrb=   1.39999302    1.05195341   -0.40000698, dist=   0.80000000 (at    0.60000000    1.05195075   -0.40000000)
iedge=  17, ipnt=   2: anal=   0.59999302    1.18738864   -0.39999302, ptrb=   1.39999302    1.18738864   -0.40000698, dist=   0.80000000 (at    0.60000000    1.18738635   -0.40000000)
iedge=  17, ipnt=   3: anal=   0.59999302    1.32282387   -0.39999302, ptrb=   1.39999302    1.32282387   -0.40000698, dist=   0.80000000 (at    0.60000000    1.32282196   -0.40000000)
iedge=  17, ipnt=   4: anal=   0.59999302    1.45825909   -0.39999302, ptrb=   1.39999302    1.45825909   -0.40000698, dist=   0.80000000 (at    0.60000000    1.45825757   -0.40000000)
iedge=  17, ipnt=   5: anal=   0.59999302    1.59369432   -0.39999302, ptrb=   1.39999302    1.59369432   -0.40000698, dist=   0.80000000 (at    0.60000000    1.59369318   -0.40000000)
iedge=  17, ipnt=   6: anal=   0.59999302    1.72912955   -0.39999302, ptrb=   1.39999302    1.72912955   -0.40000698, dist=   0.80000000 (at    0.60000000    1.72912878   -0.40000000)
iedge=  17, ipnt=   7: anal=   0.59999302    1.86456477   -0.39999302, ptrb=   1.39999302    1.86456477   -0.40000698, dist=   0.80000000 (at    0.60000000    1.86456439   -0.40000000)
iedge=  17, ipnt=   8: anal=   0.59999302    2.00000000   -0.39999302, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.80000000 (at    0.60000000    2.00000000   -0.40000000)
iedge=  18, ipnt=   1: anal=   0.70000698    2.00000000    0.40000524, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.10000000 (at    0.70000000    2.00000000    0.40000000)
iedge=  18, ipnt=   2: anal=   0.80000698    2.00000000    0.40000349, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.20000000 (at    0.80000000    2.00000000    0.40000000)
iedge=  18, ipnt=   3: anal=   0.90000698    2.00000000    0.40000175, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.30000000 (at    0.90000000    2.00000000    0.40000000)
iedge=  18, ipnt=   4: anal=   1.00000698    2.00000000    0.40000000, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.40000000 (at    1.00000000    2.00000000    0.40000000)
iedge=  18, ipnt=   5: anal=   1.10000698    2.00000000    0.39999825, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.50000000 (at    1.10000000    2.00000000    0.40000000)
iedge=  18, ipnt=   6: anal=   1.20000698    2.00000000    0.39999651, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.60000000 (at    1.20000000    2.00000000    0.40000000)
iedge=  18, ipnt=   7: anal=   1.30000698    2.00000000    0.39999476, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.70000000 (at    1.30000000    2.00000000    0.40000000)
iedge=  18, ipnt=   8: anal=   1.40000698    2.00000000    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.80000000 (at    1.40000000    2.00000000    0.40000000)
iedge=  19, ipnt=   0: anal=   1.40000698    0.91651819    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   1.34682324 (at    1.40000000    0.91651514    0.40000000)
iedge=  19, ipnt=   1: anal=   1.40000698    1.05195341    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   1.24048069 (at    1.40000000    1.05195075    0.40000000)
iedge=  19, ipnt=   2: anal=   1.40000698    1.18738864    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   1.14032330 (at    1.40000000    1.18738635    0.40000000)
iedge=  19, ipnt=   3: anal=   1.40000698    1.32282387    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   1.04812572 (at    1.40000000    1.32282196    0.40000000)
iedge=  19, ipnt=   4: anal=   1.40000698    1.45825909    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.96616935 (at    1.40000000    1.45825757    0.40000000)
iedge=  19, ipnt=   5: anal=   1.40000698    1.59369432    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.89726490 (at    1.40000000    1.59369318    0.40000000)
iedge=  19, ipnt=   6: anal=   1.40000698    1.72912955    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.84461281 (at    1.40000000    1.72912878    0.40000000)
iedge=  19, ipnt=   7: anal=   1.40000698    1.86456477    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.81138320 (at    1.40000000    1.86456439    0.40000000)
iedge=  19, ipnt=   8: anal=   1.40000698    2.00000000    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.80000000 (at    1.40000000    2.00000000    0.40000000)
iedge=  20, ipnt=   0: anal=   1.39999302    2.00000000   -0.40000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.80000000 (at    1.40000000    2.00000000   -0.40000000)
iedge=  20, ipnt=   1: anal=   1.39999476    2.00000000   -0.30000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.70000000 (at    1.40000000    2.00000000   -0.30000000)
iedge=  20, ipnt=   2: anal=   1.39999651    2.00000000   -0.20000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.60000000 (at    1.40000000    2.00000000   -0.20000000)
iedge=  20, ipnt=   3: anal=   1.39999825    2.00000000   -0.10000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.50000000 (at    1.40000000    2.00000000   -0.10000000)
iedge=  20, ipnt=   4: anal=   1.40000000    2.00000000   -0.00000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.40000000 (at    1.40000000    2.00000000    0.00000000)
iedge=  20, ipnt=   5: anal=   1.40000175    2.00000000    0.09999302, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.30000000 (at    1.40000000    2.00000000    0.10000000)
iedge=  20, ipnt=   6: anal=   1.40000349    2.00000000    0.19999302, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.20000000 (at    1.40000000    2.00000000    0.20000000)
iedge=  20, ipnt=   7: anal=   1.40000524    2.00000000    0.29999302, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.10000000 (at    1.40000000    2.00000000    0.30000000)
iedge=  21, ipnt=   0: anal=   1.39999302    0.91651209   -0.40000698, ptrb=   1.40000698    0.91651514    0.39999302, dist=   0.80000000 (at    1.40000000    0.91651514   -0.40000000)
iedge=  21, ipnt=   1: anal=   1.39999302    1.05194808   -0.40000698, ptrb=   1.40000698    1.05194808    0.39999302, dist=   0.80000000 (at    1.40000000    1.05195075   -0.40000000)
iedge=  21, ipnt=   2: anal=   1.39999302    1.18738407   -0.40000698, ptrb=   1.40000698    1.18738407    0.39999302, dist=   0.80000000 (at    1.40000000    1.18738635   -0.40000000)
iedge=  21, ipnt=   3: anal=   1.39999302    1.32282006   -0.40000698, ptrb=   1.40000698    1.32282006    0.39999302, dist=   0.80000000 (at    1.40000000    1.32282196   -0.40000000)
iedge=  21, ipnt=   4: anal=   1.39999302    1.45825605   -0.40000698, ptrb=   1.40000698    1.45825605    0.39999302, dist=   0.80000000 (at    1.40000000    1.45825757   -0.40000000)
iedge=  21, ipnt=   5: anal=   1.39999302    1.59369203   -0.40000698, ptrb=   1.40000698    1.59369203    0.39999302, dist=   0.80000000 (at    1.40000000    1.59369318   -0.40000000)
iedge=  21, ipnt=   6: anal=   1.39999302    1.72912802   -0.40000698, ptrb=   1.40000698    1.72912802    0.39999302, dist=   0.80000000 (at    1.40000000    1.72912878   -0.40000000)
iedge=  21, ipnt=   7: anal=   1.39999302    1.86456401   -0.40000698, ptrb=   1.40000698    1.86456401    0.39999302, dist=   0.80000000 (at    1.40000000    1.86456439   -0.40000000)
iedge=  21, ipnt=   8: anal=   1.39999302    2.00000000   -0.40000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.80000000 (at    1.40000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   0: anal=   0.59999302    2.00000000   -0.39999302, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.80000000 (at    0.60000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   1: anal=   0.69999302    2.00000000   -0.39999476, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.70000000 (at    0.70000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   2: anal=   0.79999302    2.00000000   -0.39999651, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.60000000 (at    0.80000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   3: anal=   0.89999302    2.00000000   -0.39999825, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.50000000 (at    0.90000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   4: anal=   0.99999302    2.00000000   -0.40000000, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.40000000 (at    1.00000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   5: anal=   1.09999302    2.00000000   -0.40000175, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.30000000 (at    1.10000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   6: anal=   1.19999302    2.00000000   -0.40000349, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.20000000 (at    1.20000000    2.00000000   -0.40000000)
iedge=  22, ipnt=   7: anal=   1.29999302    2.00000000   -0.40000524, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.10000000 (at    1.30000000    2.00000000   -0.40000000)
    d(Edge)/d(angl2) check complete with      100 total errors (errmax=  1.3468e+00)
inode=   5:            anal=   0.59999302    0.91651819   -0.39999302, ptrb=   1.39999302    0.91651209   -0.40000698, dist=   0.80000000 (at    1.39999302    0.91651209   -0.40000698)
inode=   6:            anal=   0.60000698    0.91651209    0.40000698, ptrb=   0.59999302    0.91651819   -0.39999302, dist=   0.80000000 (at    0.59999302    0.91651819   -0.39999302)
inode=   7:            anal=   1.40000698    0.91651819    0.39999302, ptrb=   0.60000698    0.91651209    0.40000698, dist=   0.80000000 (at    0.60000698    0.91651209    0.40000698)
inode=   8:            anal=   1.39999302    0.91651209   -0.40000698, ptrb=   1.40000698    0.91651819    0.39999302, dist=   0.80000000 (at    1.40000698    0.91651819    0.39999302)
inode=  13:            anal=   0.60000698    2.00000000    0.40000698, ptrb=   0.59999302    2.00000000   -0.39999302, dist=   0.80000000 (at    0.59999302    2.00000000   -0.39999302)
inode=  14:            anal=   0.59999302    2.00000000   -0.39999302, ptrb=   1.39999302    2.00000000   -0.40000698, dist=   0.80000000 (at    1.39999302    2.00000000   -0.40000698)
inode=  15:            anal=   1.40000698    2.00000000    0.39999302, ptrb=   0.60000698    2.00000000    0.40000698, dist=   0.80000000 (at    0.60000698    2.00000000    0.40000698)
inode=  16:            anal=   1.39999302    2.00000000   -0.40000698, ptrb=   1.40000698    2.00000000    0.39999302, dist=   0.80000000 (at    1.40000698    2.00000000    0.39999302)
    d(Node)/d(angl2) check complete with        8 total errors (errmax=  8.0000e-01)
 

*********************************************************
Starting tessellation sensitivity wrt "dx2"
*********************************************************

Generating perturbed configuration with delta-dx2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dx2) check complete with        0 total errors (errmax=  6.1394e-10)
    d(Edge)/d(dx2) check complete with        0 total errors (errmax=  4.1541e-16)
    d(Node)/d(dx2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dy2"
*********************************************************

Generating perturbed configuration with delta-dy2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dy2) check complete with        0 total errors (errmax=  6.1394e-10)
    d(Edge)/d(dy2) check complete with        0 total errors (errmax=  4.1541e-16)
    d(Node)/d(dy2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dz2"
*********************************************************

Generating perturbed configuration with delta-dz2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dz2) check complete with        0 total errors (errmax=  6.8981e-07)
    d(Edge)/d(dz2) check complete with        0 total errors (errmax=  6.8981e-07)
    d(Node)/d(dz2) check complete with        0 total errors (errmax=  6.4977e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dx) check complete with        0 total errors (errmax=  6.1393e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.6065e-13)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  2.0550e-13)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dy) check complete with        0 total errors (errmax=  6.1395e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.4888e-13)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.4888e-13)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dz) check complete with        0 total errors (errmax=  6.1395e-10)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  2.1694e-13)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  2.1694e-13)
 

*********************************************************
Starting tessellation sensitivity wrt "sfac"
*********************************************************

Generating perturbed configuration with delta-sfac[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(sfac) check complete with        0 total errors (errmax=  2.5135e-13)
    d(Edge)/d(sfac) check complete with        0 total errors (errmax=  2.5135e-13)
    d(Node)/d(sfac) check complete with        0 total errors (errmax=  2.5135e-13)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      4.421 sec

Sensitivity checks complete with      396 total errors (max tessel err=  1.3468e+00) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0s.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dx" for ibody=2
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dy" for ibody=2
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "dz" for ibody=2
    d(Face)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.003 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0s.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.173 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.348 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  6.9889e-11) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.8310e-15)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.4043e-15)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.345 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.8310e-15) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DX" for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DY" for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DZ" for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  9.5807e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.185 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.5807e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   5, ipnt=   0: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   5, ipnt=  16: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   5, ipnt=  48: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   5, ipnt=  64: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at   -2.00000000    1.00000000    2.50000000)
iface=   6, ipnt=   0: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at    2.00000000   -1.00000000   -2.50000000)
iface=   6, ipnt=  32: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at    2.00000000   -1.00000000    2.50000000)
iface=   6, ipnt=  48: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at    2.00000000    1.00000000    2.50000000)
iface=   6, ipnt=  80: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at    2.00000000    1.00000000   -2.50000000)
    d(Face)/d(DX) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.4390e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00200000   -1.00000000   -2.50000000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at    2.00200000   -1.00000000   -2.50000000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00200000    1.00000000   -2.50000000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at    2.00200000    1.00000000   -2.50000000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at   -2.00200000    1.00000000    2.50000000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at    2.00200000    1.00000000    2.50000000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at   -2.00200000   -1.00000000    2.50000000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at    2.00200000   -1.00000000    2.50000000)
    d(Node)/d(DX) check complete with        8 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   2, ipnt=   0: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000    1.00000000   -2.50000000)
iface=   2, ipnt=  32: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   2, ipnt=  64: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000    1.00000000    2.50000000)
iface=   2, ipnt=  96: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000    1.00000000    2.50000000)
iface=   4, ipnt=   0: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000   -1.00000000    2.50000000)
iface=   4, ipnt=  32: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   4, ipnt=  64: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   4, ipnt=  96: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000   -1.00000000   -2.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.3777e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00100000   -2.50000000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000   -1.00100000   -2.50000000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000    1.00100000   -2.50000000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000    1.00100000   -2.50000000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000    1.00100000    2.50000000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000    1.00100000    2.50000000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00100000    2.50000000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000   -1.00100000    2.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000   -2.50000000)
iface=   1, ipnt=  32: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   1, ipnt=  48: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   1, ipnt=  80: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000   -2.50000000)
iface=   3, ipnt=   0: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000    2.50000000)
iface=   3, ipnt=  32: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000    2.50000000)
iface=   3, ipnt=  48: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   3, ipnt=  80: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000    2.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  2.5000e-03)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.4390e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000   -2.50250000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000   -2.50250000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000   -2.50250000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000   -2.50250000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000    2.50250000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000    2.50250000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000    2.50250000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000    2.50250000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  2.5000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.261 sec

Sensitivity checks complete with       48 total errors (max tessel err=  2.5000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DX" for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DY" for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DZ" for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  9.5807e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.194 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.5807e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0t3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   5, ipnt=   0: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   5, ipnt=  16: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   5, ipnt=  48: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   5, ipnt=  64: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at   -2.00000000    1.00000000    2.50000000)
iface=   6, ipnt=   0: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at    2.00000000   -1.00000000   -2.50000000)
iface=   6, ipnt=  32: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at    2.00000000   -1.00000000    2.50000000)
iface=   6, ipnt=  48: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at    2.00000000    1.00000000    2.50000000)
iface=   6, ipnt=  80: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at    2.00000000    1.00000000   -2.50000000)
    d(Face)/d(DX) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.4390e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00200000   -1.00000000   -2.50000000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00200000   -1.00000000   -2.50000000, dist=   0.00200000 (at    2.00200000   -1.00000000   -2.50000000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at   -2.00200000    1.00000000   -2.50000000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00200000    1.00000000   -2.50000000, dist=   0.00200000 (at    2.00200000    1.00000000   -2.50000000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at   -2.00200000    1.00000000    2.50000000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00200000    1.00000000    2.50000000, dist=   0.00200000 (at    2.00200000    1.00000000    2.50000000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at   -2.00200000   -1.00000000    2.50000000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00200000   -1.00000000    2.50000000, dist=   0.00200000 (at    2.00200000   -1.00000000    2.50000000)
    d(Node)/d(DX) check complete with        8 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   2, ipnt=   0: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000    1.00000000   -2.50000000)
iface=   2, ipnt=  32: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   2, ipnt=  64: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000    1.00000000    2.50000000)
iface=   2, ipnt=  96: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000    1.00000000    2.50000000)
iface=   4, ipnt=   0: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000   -1.00000000    2.50000000)
iface=   4, ipnt=  32: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   4, ipnt=  64: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   4, ipnt=  96: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000   -1.00000000   -2.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.3777e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00100000   -2.50000000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000   -1.00100000   -2.50000000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at   -2.00000000    1.00100000   -2.50000000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00100000   -2.50000000, dist=   0.00100000 (at    2.00000000    1.00100000   -2.50000000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000    1.00100000    2.50000000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000    1.00100000    2.50000000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at   -2.00000000   -1.00100000    2.50000000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00100000    2.50000000, dist=   0.00100000 (at    2.00000000   -1.00100000    2.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000   -2.50000000)
iface=   1, ipnt=  32: anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000   -2.50000000)
iface=   1, ipnt=  48: anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000   -2.50000000)
iface=   1, ipnt=  80: anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000   -2.50000000)
iface=   3, ipnt=   0: anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000    2.50000000)
iface=   3, ipnt=  32: anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000    2.50000000)
iface=   3, ipnt=  48: anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000    2.50000000)
iface=   3, ipnt=  80: anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000    2.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  2.5000e-03)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.4390e-16)
inode=   1:            anal=  -2.00000000   -1.00000000   -2.50000000, ptrb=  -2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000   -2.50250000)
inode=   2:            anal=   2.00000000   -1.00000000   -2.50000000, ptrb=   2.00000000   -1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000   -2.50250000)
inode=   3:            anal=  -2.00000000    1.00000000   -2.50000000, ptrb=  -2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000   -2.50250000)
inode=   4:            anal=   2.00000000    1.00000000   -2.50000000, ptrb=   2.00000000    1.00000000   -2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000   -2.50250000)
inode=   5:            anal=  -2.00000000    1.00000000    2.50000000, ptrb=  -2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000    1.00000000    2.50250000)
inode=   6:            anal=   2.00000000    1.00000000    2.50000000, ptrb=   2.00000000    1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000    1.00000000    2.50250000)
inode=   7:            anal=  -2.00000000   -1.00000000    2.50000000, ptrb=  -2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at   -2.00000000   -1.00000000    2.50250000)
inode=   8:            anal=   2.00000000   -1.00000000    2.50000000, ptrb=   2.00000000   -1.00000000    2.50250000, dist=   0.00250000 (at    2.00000000   -1.00000000    2.50250000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  2.5000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.246 sec

Sensitivity checks complete with       48 total errors (max tessel err=  2.5000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0u.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rx" for ibody=1
    d(Face)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   1, ipnt=  24 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447    2.57404367    0.00000000)
iedge=   1, ipnt=  27 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011545 (at    0.52562942    2.80922085    0.00000000)
iedge=   1, ipnt=  28 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at    0.43146765    2.87377079    0.00000000)
iedge=   1, ipnt=  29 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622    2.92802835    0.00000000)
iedge=   1, ipnt=  29 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046645 (at    0.33094622    2.92802835    0.00000000)
iedge=   1, ipnt=  31 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at    0.11279946    2.98530050    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at   -0.11279946    2.98530050    0.00000000)
iedge=   2, ipnt=   3 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622    2.92802835    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046646 (at   -0.33094622    2.92802835    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at   -0.43146765    2.87377079    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011546 (at   -0.52562942    2.80922085    0.00000000)
iedge=   2, ipnt=   8 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447    2.57404367    0.00000000)
iedge=   3, ipnt=  24 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447   -2.57404367    0.00000000)
iedge=   3, ipnt=  27 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011545 (at   -0.52562942   -2.80922085    0.00000000)
iedge=   3, ipnt=  28 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at   -0.43146765   -2.87377079    0.00000000)
iedge=   3, ipnt=  29 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   3, ipnt=  29 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046645 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   3, ipnt=  31 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at   -0.11279946   -2.98530050    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at    0.11279946   -2.98530050    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622   -2.92802835    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046646 (at    0.33094622   -2.92802835    0.00000000)
iedge=   4, ipnt=   4 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at    0.43146765   -2.87377079    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011546 (at    0.52562942   -2.80922085    0.00000000)
iedge=   4, ipnt=   8 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447   -2.57404367    0.00000000)
    d(Edge)/d(rx) check complete with       24 total errors (errmax=  4.6646e-04)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ry" for ibody=1
    d(Face)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   1, ipnt=  29 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    0.00000000)
iedge=   1, ipnt=  29 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    0.00000000)
iedge=   1, ipnt=  31 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    0.00000000)
iedge=   2, ipnt=   3 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    0.00000000)
iedge=   3, ipnt=  29 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   3, ipnt=  29 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   3, ipnt=  31 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    0.00000000)
    d(Edge)/d(ry) check complete with       12 total errors (errmax=  2.3319e-04)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.028 sec

Sensitivity checks complete with       36 tnotal errors (max config err=  4.6646e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0u.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "rx"
*********************************************************

Generating perturbed configuration with delta-rx[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rx) check complete with        0 total errors (errmax=  7.2164e-16)
iedge=   1, ipnt=   0: anal=   1.50000000    0.00000000    0.00000000, ptrb=   1.50149768    0.00005898    0.00000000, dist=   0.00149884 (at    1.50000000    0.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   1.49614717    0.11336955    0.00000000, ptrb=   1.49764193    0.11341492    0.00000000, dist=   0.00149545 (at    1.49614717    0.11336955    0.00000000)
iedge=   1, ipnt=   2: anal=   1.49273523    0.22676644    0.00000000, ptrb=   1.49422646    0.22681355    0.00000000, dist=   0.00149198 (at    1.49273523    0.22676644    0.00000000)
iedge=   1, ipnt=   3: anal=   1.48860489    0.34011908    0.00000000, ptrb=   1.49009073    0.34018310    0.00000000, dist=   0.00148721 (at    1.48860489    0.34011908    0.00000000)
iedge=   1, ipnt=   4: anal=   1.48259687    0.45335585    0.00000000, ptrb=   1.48407325    0.45345166    0.00000000, dist=   0.00147948 (at    1.48259687    0.45335585    0.00000000)
iedge=   1, ipnt=   5: anal=   1.47370349    0.56640828    0.00000000, ptrb=   1.47516474    0.56654328    0.00000000, dist=   0.00146747 (at    1.47370349    0.56640828    0.00000000)
iedge=   1, ipnt=   6: anal=   1.46184736    0.67922723    0.00000000, ptrb=   1.46328926    0.67939694    0.00000000, dist=   0.00145185 (at    1.46184736    0.67922723    0.00000000)
iedge=   1, ipnt=   7: anal=   1.44730368    0.79177085    0.00000000, ptrb=   1.44872290    0.79197056    0.00000000, dist=   0.00143320 (at    1.44730368    0.79177085    0.00000000)
iedge=   1, ipnt=   8: anal=   1.43034829    0.90399733    0.00000000, ptrb=   1.43174231    0.90422240    0.00000000, dist=   0.00141207 (at    1.43034829    0.90399733    0.00000000)
iedge=   1, ipnt=   9: anal=   1.41122005    1.01586191    0.00000000, ptrb=   1.41258641    1.01610948    0.00000000, dist=   0.00138860 (at    1.41122005    1.01586191    0.00000000)
...too many errors to list
iedge=   2, ipnt=   3: anal=  -0.33094622    2.92802835    0.00000000, ptrb=  -0.33100236    2.92815217    0.00000000, dist=   0.00013595 (at   -0.33094622    2.92802835    0.00000000)
iedge=   2, ipnt=   4: anal=  -0.43146765    2.87377079    0.00000000, ptrb=  -0.43158697    2.87396366    0.00000000, dist=   0.00022679 (at   -0.43146765    2.87377079    0.00000000)
iedge=   2, ipnt=   5: anal=  -0.52562942    2.80922085    0.00000000, ptrb=  -0.52581902    2.80947344    0.00000000, dist=   0.00031583 (at   -0.52562942    2.80922085    0.00000000)
iedge=   2, ipnt=   6: anal=  -0.61342337    2.73726265    0.00000000, ptrb=  -0.61369441    2.73756743    0.00000000, dist=   0.00040787 (at   -0.61342337    2.73726265    0.00000000)
iedge=   2, ipnt=   7: anal=  -0.69501491    2.65860851    0.00000000, ptrb=  -0.69537583    2.65895578    0.00000000, dist=   0.00050086 (at   -0.69501491    2.65860851    0.00000000)
iedge=   2, ipnt=   8: anal=  -0.77064447    2.57404367    0.00000000, ptrb=  -0.77109789    2.57442281    0.00000000, dist=   0.00059105 (at   -0.77064447    2.57404367    0.00000000)
iedge=   2, ipnt=   9: anal=  -0.84072408    2.48461259    0.00000000, ptrb=  -0.84126818    2.48501427    0.00000000, dist=   0.00067632 (at   -0.84072408    2.48461259    0.00000000)
iedge=   2, ipnt=  10: anal=  -0.90568954    2.39139110    0.00000000, ptrb=  -0.90632004    2.39180771    0.00000000, dist=   0.00075571 (at   -0.90568954    2.39139110    0.00000000)
iedge=   2, ipnt=  11: anal=  -0.96592638    2.29517575    0.00000000, ptrb=  -0.96663975    2.29560027    0.00000000, dist=   0.00083012 (at   -0.96592638    2.29517575    0.00000000)
iedge=   2, ipnt=  12: anal=  -1.02175094    2.19637911    0.00000000, ptrb=  -1.02254322    2.19680552    0.00000000, dist=   0.00089975 (at   -1.02175094    2.19637911    0.00000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=  -1.50000000    0.00000000    0.00000000, ptrb=  -1.50149768   -0.00005898    0.00000000, dist=   0.00149884 (at   -1.50000000    0.00000000    0.00000000)
iedge=   3, ipnt=   1: anal=  -1.49614717   -0.11336955    0.00000000, ptrb=  -1.49764193   -0.11341492    0.00000000, dist=   0.00149545 (at   -1.49614717   -0.11336955    0.00000000)
iedge=   3, ipnt=   2: anal=  -1.49273523   -0.22676644    0.00000000, ptrb=  -1.49422646   -0.22681355    0.00000000, dist=   0.00149198 (at   -1.49273523   -0.22676644    0.00000000)
iedge=   3, ipnt=   3: anal=  -1.48860489   -0.34011908    0.00000000, ptrb=  -1.49009073   -0.34018310    0.00000000, dist=   0.00148721 (at   -1.48860489   -0.34011908    0.00000000)
iedge=   3, ipnt=   4: anal=  -1.48259687   -0.45335585    0.00000000, ptrb=  -1.48407325   -0.45345166    0.00000000, dist=   0.00147948 (at   -1.48259687   -0.45335585    0.00000000)
iedge=   3, ipnt=   5: anal=  -1.47370349   -0.56640828    0.00000000, ptrb=  -1.47516474   -0.56654328    0.00000000, dist=   0.00146747 (at   -1.47370349   -0.56640828    0.00000000)
iedge=   3, ipnt=   6: anal=  -1.46184736   -0.67922723    0.00000000, ptrb=  -1.46328926   -0.67939694    0.00000000, dist=   0.00145185 (at   -1.46184736   -0.67922723    0.00000000)
iedge=   3, ipnt=   7: anal=  -1.44730368   -0.79177085    0.00000000, ptrb=  -1.44872290   -0.79197056    0.00000000, dist=   0.00143320 (at   -1.44730368   -0.79177085    0.00000000)
iedge=   3, ipnt=   8: anal=  -1.43034829   -0.90399733    0.00000000, ptrb=  -1.43174231   -0.90422240    0.00000000, dist=   0.00141207 (at   -1.43034829   -0.90399733    0.00000000)
iedge=   3, ipnt=   9: anal=  -1.41122005   -1.01586191    0.00000000, ptrb=  -1.41258641   -1.01610948    0.00000000, dist=   0.00138860 (at   -1.41122005   -1.01586191    0.00000000)
...too many errors to list
iedge=   4, ipnt=   3: anal=   0.33094622   -2.92802835    0.00000000, ptrb=   0.33100236   -2.92815217    0.00000000, dist=   0.00013595 (at    0.33094622   -2.92802835    0.00000000)
iedge=   4, ipnt=   4: anal=   0.43146765   -2.87377079    0.00000000, ptrb=   0.43158697   -2.87396366    0.00000000, dist=   0.00022679 (at    0.43146765   -2.87377079    0.00000000)
iedge=   4, ipnt=   5: anal=   0.52562942   -2.80922085    0.00000000, ptrb=   0.52581902   -2.80947344    0.00000000, dist=   0.00031583 (at    0.52562942   -2.80922085    0.00000000)
iedge=   4, ipnt=   6: anal=   0.61342337   -2.73726265    0.00000000, ptrb=   0.61369441   -2.73756743    0.00000000, dist=   0.00040787 (at    0.61342337   -2.73726265    0.00000000)
iedge=   4, ipnt=   7: anal=   0.69501491   -2.65860851    0.00000000, ptrb=   0.69537583   -2.65895578    0.00000000, dist=   0.00050086 (at    0.69501491   -2.65860851    0.00000000)
iedge=   4, ipnt=   8: anal=   0.77064447   -2.57404367    0.00000000, ptrb=   0.77109789   -2.57442281    0.00000000, dist=   0.00059105 (at    0.77064447   -2.57404367    0.00000000)
iedge=   4, ipnt=   9: anal=   0.84072408   -2.48461259    0.00000000, ptrb=   0.84126818   -2.48501427    0.00000000, dist=   0.00067632 (at    0.84072408   -2.48461259    0.00000000)
iedge=   4, ipnt=  10: anal=   0.90568954   -2.39139110    0.00000000, ptrb=   0.90632004   -2.39180771    0.00000000, dist=   0.00075571 (at    0.90568954   -2.39139110    0.00000000)
iedge=   4, ipnt=  11: anal=   0.96592638   -2.29517575    0.00000000, ptrb=   0.96663975   -2.29560027    0.00000000, dist=   0.00083012 (at    0.96592638   -2.29517575    0.00000000)
iedge=   4, ipnt=  12: anal=   1.02175094   -2.19637911    0.00000000, ptrb=   1.02254322   -2.19680552    0.00000000, dist=   0.00089975 (at    1.02175094   -2.19637911    0.00000000)
...too many errors to list
    d(Edge)/d(rx) check complete with      120 total errors (errmax=  1.4988e-03)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ry"
*********************************************************

Generating perturbed configuration with delta-ry[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ry) check complete with        0 total errors (errmax=  8.8818e-16)
iedge=   1, ipnt=   7: anal=   1.44730368    0.79177085    0.00000000, ptrb=   1.44741262    0.79178613    0.00000000, dist=   0.00011001 (at    1.44730368    0.79177085    0.00000000)
iedge=   1, ipnt=   8: anal=   1.43034829    0.90399733    0.00000000, ptrb=   1.43049017    0.90402016    0.00000000, dist=   0.00014370 (at    1.43034829    0.90399733    0.00000000)
iedge=   1, ipnt=   9: anal=   1.41122005    1.01586191    0.00000000, ptrb=   1.41139783    1.01589402    0.00000000, dist=   0.00018065 (at    1.41122005    1.01586191    0.00000000)
iedge=   1, ipnt=  10: anal=   1.38987908    1.12729785    0.00000000, ptrb=   1.39009796    1.12734206    0.00000000, dist=   0.00022330 (at    1.38987908    1.12729785    0.00000000)
iedge=   1, ipnt=  11: anal=   1.36615852    1.23822840    0.00000000, ptrb=   1.36642401    1.23828817    0.00000000, dist=   0.00027214 (at    1.36615852    1.23822840    0.00000000)
iedge=   1, ipnt=  12: anal=   1.33989087    1.34857672    0.00000000, ptrb=   1.34020866    1.34865625    0.00000000, dist=   0.00032758 (at    1.33989087    1.34857672    0.00000000)
iedge=   1, ipnt=  13: anal=   1.31091585    1.45826131    0.00000000, ptrb=   1.31129145    1.45836543    0.00000000, dist=   0.00038977 (at    1.31091585    1.45826131    0.00000000)
iedge=   1, ipnt=  14: anal=   1.27911478    1.56717349    0.00000000, ptrb=   1.27955328    1.56730758    0.00000000, dist=   0.00045854 (at    1.27911478    1.56717349    0.00000000)
iedge=   1, ipnt=  15: anal=   1.24438392    1.67519485    0.00000000, ptrb=   1.24489014    1.67536501    0.00000000, dist=   0.00053406 (at    1.24438392    1.67519485    0.00000000)
iedge=   1, ipnt=  16: anal=   1.20661943    1.78220685    0.00000000, ptrb=   1.20719792    1.78241998    0.00000000, dist=   0.00061650 (at    1.20661943    1.78220685    0.00000000)
...too many errors to list
iedge=   2, ipnt=   0: anal=   0.00000000    3.00000000    0.00000000, ptrb=  -0.00046003    3.00292762    0.00000000, dist=   0.00296354 (at    0.00000000    3.00000000    0.00000000)
iedge=   2, ipnt=   1: anal=  -0.11279946    2.98530050    0.00000000, ptrb=  -0.11317615    2.98823698    0.00000000, dist=   0.00296054 (at   -0.11279946    2.98530050    0.00000000)
iedge=   2, ipnt=   2: anal=  -0.22434278    2.96574136    0.00000000, ptrb=  -0.22504387    2.96853125    0.00000000, dist=   0.00287664 (at   -0.22434278    2.96574136    0.00000000)
iedge=   2, ipnt=   3: anal=  -0.33094622    2.92802835    0.00000000, ptrb=  -0.33205353    2.93045253    0.00000000, dist=   0.00266511 (at   -0.33094622    2.92802835    0.00000000)
iedge=   2, ipnt=   4: anal=  -0.43146765    2.87377079    0.00000000, ptrb=  -0.43275743    2.87584352    0.00000000, dist=   0.00244126 (at   -0.43146765    2.87377079    0.00000000)
iedge=   2, ipnt=   5: anal=  -0.52562942    2.80922085    0.00000000, ptrb=  -0.52698066    2.81101146    0.00000000, dist=   0.00224324 (at   -0.52562942    2.80922085    0.00000000)
iedge=   2, ipnt=   6: anal=  -0.61342337    2.73726265    0.00000000, ptrb=  -0.61478414    2.73878475    0.00000000, dist=   0.00204169 (at   -0.61342337    2.73726265    0.00000000)
iedge=   2, ipnt=   7: anal=  -0.69501491    2.65860851    0.00000000, ptrb=  -0.69634385    2.65988063    0.00000000, dist=   0.00183966 (at   -0.69501491    2.65860851    0.00000000)
iedge=   2, ipnt=   8: anal=  -0.77064447    2.57404367    0.00000000, ptrb=  -0.77191109    2.57509764    0.00000000, dist=   0.00164778 (at   -0.77064447    2.57404367    0.00000000)
iedge=   2, ipnt=   9: anal=  -0.84072408    2.48461259    0.00000000, ptrb=  -0.84191057    2.48548452    0.00000000, dist=   0.00147242 (at   -0.84072408    2.48461259    0.00000000)
...too many errors to list
iedge=   3, ipnt=   7: anal=  -1.44730368   -0.79177085    0.00000000, ptrb=  -1.44741262   -0.79178613    0.00000000, dist=   0.00011001 (at   -1.44730368   -0.79177085    0.00000000)
iedge=   3, ipnt=   8: anal=  -1.43034829   -0.90399733    0.00000000, ptrb=  -1.43049017   -0.90402016    0.00000000, dist=   0.00014370 (at   -1.43034829   -0.90399733    0.00000000)
iedge=   3, ipnt=   9: anal=  -1.41122005   -1.01586191    0.00000000, ptrb=  -1.41139783   -1.01589402    0.00000000, dist=   0.00018065 (at   -1.41122005   -1.01586191    0.00000000)
iedge=   3, ipnt=  10: anal=  -1.38987908   -1.12729785    0.00000000, ptrb=  -1.39009796   -1.12734206    0.00000000, dist=   0.00022330 (at   -1.38987908   -1.12729785    0.00000000)
iedge=   3, ipnt=  11: anal=  -1.36615852   -1.23822840    0.00000000, ptrb=  -1.36642401   -1.23828817    0.00000000, dist=   0.00027214 (at   -1.36615852   -1.23822840    0.00000000)
iedge=   3, ipnt=  12: anal=  -1.33989087   -1.34857672    0.00000000, ptrb=  -1.34020866   -1.34865625    0.00000000, dist=   0.00032758 (at   -1.33989087   -1.34857672    0.00000000)
iedge=   3, ipnt=  13: anal=  -1.31091585   -1.45826131    0.00000000, ptrb=  -1.31129145   -1.45836543    0.00000000, dist=   0.00038977 (at   -1.31091585   -1.45826131    0.00000000)
iedge=   3, ipnt=  14: anal=  -1.27911478   -1.56717349    0.00000000, ptrb=  -1.27955328   -1.56730758    0.00000000, dist=   0.00045854 (at   -1.27911478   -1.56717349    0.00000000)
iedge=   3, ipnt=  15: anal=  -1.24438392   -1.67519485    0.00000000, ptrb=  -1.24489014   -1.67536501    0.00000000, dist=   0.00053406 (at   -1.24438392   -1.67519485    0.00000000)
iedge=   3, ipnt=  16: anal=  -1.20661943   -1.78220685    0.00000000, ptrb=  -1.20719792   -1.78241998    0.00000000, dist=   0.00061650 (at   -1.20661943   -1.78220685    0.00000000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   0.00000000   -3.00000000    0.00000000, ptrb=   0.00046003   -3.00292762    0.00000000, dist=   0.00296354 (at    0.00000000   -3.00000000    0.00000000)
iedge=   4, ipnt=   1: anal=   0.11279946   -2.98530050    0.00000000, ptrb=   0.11317615   -2.98823698    0.00000000, dist=   0.00296054 (at    0.11279946   -2.98530050    0.00000000)
iedge=   4, ipnt=   2: anal=   0.22434278   -2.96574136    0.00000000, ptrb=   0.22504387   -2.96853125    0.00000000, dist=   0.00287664 (at    0.22434278   -2.96574136    0.00000000)
iedge=   4, ipnt=   3: anal=   0.33094622   -2.92802835    0.00000000, ptrb=   0.33205353   -2.93045253    0.00000000, dist=   0.00266511 (at    0.33094622   -2.92802835    0.00000000)
iedge=   4, ipnt=   4: anal=   0.43146765   -2.87377079    0.00000000, ptrb=   0.43275743   -2.87584352    0.00000000, dist=   0.00244126 (at    0.43146765   -2.87377079    0.00000000)
iedge=   4, ipnt=   5: anal=   0.52562942   -2.80922085    0.00000000, ptrb=   0.52698066   -2.81101146    0.00000000, dist=   0.00224324 (at    0.52562942   -2.80922085    0.00000000)
iedge=   4, ipnt=   6: anal=   0.61342337   -2.73726265    0.00000000, ptrb=   0.61478414   -2.73878475    0.00000000, dist=   0.00204169 (at    0.61342337   -2.73726265    0.00000000)
iedge=   4, ipnt=   7: anal=   0.69501491   -2.65860851    0.00000000, ptrb=   0.69634385   -2.65988063    0.00000000, dist=   0.00183966 (at    0.69501491   -2.65860851    0.00000000)
iedge=   4, ipnt=   8: anal=   0.77064447   -2.57404367    0.00000000, ptrb=   0.77191109   -2.57509764    0.00000000, dist=   0.00164778 (at    0.77064447   -2.57404367    0.00000000)
iedge=   4, ipnt=   9: anal=   0.84072408   -2.48461259    0.00000000, ptrb=   0.84191057   -2.48548452    0.00000000, dist=   0.00147242 (at    0.84072408   -2.48461259    0.00000000)
...too many errors to list
    d(Edge)/d(ry) check complete with      104 total errors (errmax=  2.9635e-03)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.015 sec

Sensitivity checks complete with      224 total errors (max tessel err=  2.9635e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0v.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "rx" for ibody=2
iface=   1, ipnt=  24 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447    2.57404367    3.00000000)
iface=   1, ipnt=  27 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011545 (at    0.52562942    2.80922085    3.00000000)
iface=   1, ipnt=  28 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at    0.43146765    2.87377079    3.00000000)
iface=   1, ipnt=  29 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622    2.92802835    3.00000000)
iface=   1, ipnt=  29 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046645 (at    0.33094622    2.92802835    3.00000000)
iface=   1, ipnt=  31 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at    0.11279946    2.98530050    3.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at    0.11279946    2.98530050    0.00000000)
iface=   1, ipnt=  67 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622    2.92802835    0.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046645 (at    0.33094622    2.92802835    0.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at    0.43146765    2.87377079    0.00000000)
...too many errors to list
iface=   2, ipnt=   1 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at   -0.11279946    2.98530050    3.00000000)
iface=   2, ipnt=   3 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622    2.92802835    3.00000000)
iface=   2, ipnt=   3 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046646 (at   -0.33094622    2.92802835    3.00000000)
iface=   2, ipnt=   4 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at   -0.43146765    2.87377079    3.00000000)
iface=   2, ipnt=   5 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011546 (at   -0.52562942    2.80922085    3.00000000)
iface=   2, ipnt=   8 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447    2.57404367    3.00000000)
iface=   2, ipnt=  88 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447    2.57404367    0.00000000)
iface=   2, ipnt=  91 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011546 (at   -0.52562942    2.80922085    0.00000000)
iface=   2, ipnt=  92 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at   -0.43146765    2.87377079    0.00000000)
iface=   2, ipnt=  93 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622    2.92802835    0.00000000)
...too many errors to list
iface=   3, ipnt=  24 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447   -2.57404367    3.00000000)
iface=   3, ipnt=  27 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011545 (at   -0.52562942   -2.80922085    3.00000000)
iface=   3, ipnt=  28 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at   -0.43146765   -2.87377079    3.00000000)
iface=   3, ipnt=  29 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622   -2.92802835    3.00000000)
iface=   3, ipnt=  29 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046645 (at   -0.33094622   -2.92802835    3.00000000)
iface=   3, ipnt=  31 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at   -0.11279946   -2.98530050    3.00000000)
iface=   3, ipnt=  65 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at   -0.11279946   -2.98530050    0.00000000)
iface=   3, ipnt=  67 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622   -2.92802835    0.00000000)
iface=   3, ipnt=  67 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046645 (at   -0.33094622   -2.92802835    0.00000000)
iface=   3, ipnt=  68 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at   -0.43146765   -2.87377079    0.00000000)
...too many errors to list
iface=   4, ipnt=   1 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at    0.11279946   -2.98530050    3.00000000)
iface=   4, ipnt=   3 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622   -2.92802835    3.00000000)
iface=   4, ipnt=   3 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046646 (at    0.33094622   -2.92802835    3.00000000)
iface=   4, ipnt=   4 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at    0.43146765   -2.87377079    3.00000000)
iface=   4, ipnt=   5 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011546 (at    0.52562942   -2.80922085    3.00000000)
iface=   4, ipnt=   8 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447   -2.57404367    3.00000000)
iface=   4, ipnt=  88 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447   -2.57404367    0.00000000)
iface=   4, ipnt=  91 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011546 (at    0.52562942   -2.80922085    0.00000000)
iface=   4, ipnt=  92 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at    0.43146765   -2.87377079    0.00000000)
iface=   4, ipnt=  93 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622   -2.92802835    0.00000000)
...too many errors to list
    d(Face)/d(rx) check complete with      792 total errors (errmax=  4.6646e-04)
iedge=   3, ipnt=  24 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447    2.57404367    0.00000000)
iedge=   3, ipnt=  27 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011545 (at    0.52562942    2.80922085    0.00000000)
iedge=   3, ipnt=  28 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at    0.43146765    2.87377079    0.00000000)
iedge=   3, ipnt=  29 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622    2.92802835    0.00000000)
iedge=   3, ipnt=  29 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046645 (at    0.33094622    2.92802835    0.00000000)
iedge=   3, ipnt=  31 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at    0.11279946    2.98530050    0.00000000)
iedge=   4, ipnt=  24 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447    2.57404367    3.00000000)
iedge=   4, ipnt=  27 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011545 (at    0.52562942    2.80922085    3.00000000)
iedge=   4, ipnt=  28 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at    0.43146765    2.87377079    3.00000000)
iedge=   4, ipnt=  29 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622    2.92802835    3.00000000)
iedge=   4, ipnt=  29 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046645 (at    0.33094622    2.92802835    3.00000000)
iedge=   4, ipnt=  31 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at    0.11279946    2.98530050    3.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at   -0.11279946    2.98530050    0.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622    2.92802835    0.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046646 (at   -0.33094622    2.92802835    0.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at   -0.43146765    2.87377079    0.00000000)
iedge=   6, ipnt=   5 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011546 (at   -0.52562942    2.80922085    0.00000000)
iedge=   6, ipnt=   8 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447    2.57404367    0.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.00947018,  fd=   0.00981610,  err=  -0.00034591 (at   -0.11279946    2.98530050    3.00000000)
iedge=   7, ipnt=   3 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622    2.92802835    3.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.08308878,  fd=   0.08262232,  err=   0.00046646 (at   -0.33094622    2.92802835    3.00000000)
iedge=   7, ipnt=   4 (Y): anal=   0.12879629,  fd=   0.12864538,  err=   0.00015091 (at   -0.43146765    2.87377079    3.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.16831907,  fd=   0.16843453,  err=  -0.00011546 (at   -0.52562942    2.80922085    3.00000000)
iedge=   7, ipnt=   8 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447    2.57404367    3.00000000)
iedge=   9, ipnt=  24 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447   -2.57404367    0.00000000)
iedge=   9, ipnt=  27 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011545 (at   -0.52562942   -2.80922085    0.00000000)
iedge=   9, ipnt=  28 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at   -0.43146765   -2.87377079    0.00000000)
iedge=   9, ipnt=  29 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   9, ipnt=  29 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046645 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   9, ipnt=  31 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at   -0.11279946   -2.98530050    0.00000000)
iedge=  10, ipnt=  24 (X): anal=  -0.30274912,  fd=  -0.30263556,  err=  -0.00011356 (at   -0.77064447   -2.57404367    3.00000000)
iedge=  10, ipnt=  27 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011545 (at   -0.52562942   -2.80922085    3.00000000)
iedge=  10, ipnt=  28 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at   -0.43146765   -2.87377079    3.00000000)
iedge=  10, ipnt=  29 (X): anal=  -0.03774996,  fd=  -0.03753803,  err=  -0.00021193 (at   -0.33094622   -2.92802835    3.00000000)
iedge=  10, ipnt=  29 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046645 (at   -0.33094622   -2.92802835    3.00000000)
iedge=  10, ipnt=  31 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at   -0.11279946   -2.98530050    3.00000000)
iedge=  11, ipnt=   1 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at    0.11279946   -2.98530050    0.00000000)
iedge=  11, ipnt=   3 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622   -2.92802835    0.00000000)
iedge=  11, ipnt=   3 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046646 (at    0.33094622   -2.92802835    0.00000000)
iedge=  11, ipnt=   4 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at    0.43146765   -2.87377079    0.00000000)
iedge=  11, ipnt=   5 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011546 (at    0.52562942   -2.80922085    0.00000000)
iedge=  11, ipnt=   8 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447   -2.57404367    0.00000000)
iedge=  12, ipnt=   1 (Y): anal=  -0.00947018,  fd=  -0.00981610,  err=   0.00034591 (at    0.11279946   -2.98530050    3.00000000)
iedge=  12, ipnt=   3 (X): anal=   0.03774996,  fd=   0.03753803,  err=   0.00021193 (at    0.33094622   -2.92802835    3.00000000)
iedge=  12, ipnt=   3 (Y): anal=  -0.08308878,  fd=  -0.08262232,  err=  -0.00046646 (at    0.33094622   -2.92802835    3.00000000)
iedge=  12, ipnt=   4 (Y): anal=  -0.12879629,  fd=  -0.12864538,  err=  -0.00015091 (at    0.43146765   -2.87377079    3.00000000)
iedge=  12, ipnt=   5 (Y): anal=  -0.16831907,  fd=  -0.16843453,  err=   0.00011546 (at    0.52562942   -2.80922085    3.00000000)
iedge=  12, ipnt=   8 (X): anal=   0.30274912,  fd=   0.30263556,  err=   0.00011356 (at    0.77064447   -2.57404367    3.00000000)
    d(Edge)/d(rx) check complete with       48 total errors (errmax=  4.6646e-04)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "ry" for ibody=2
iface=   1, ipnt=  29 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    3.00000000)
iface=   1, ipnt=  29 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    3.00000000)
iface=   1, ipnt=  31 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    3.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    0.00000000)
iface=   1, ipnt=  67 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    0.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    0.00000000)
iface=   1, ipnt= 156 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    2.90625000)
iface=   1, ipnt= 156 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    2.90625000)
iface=   1, ipnt= 158 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    2.90625000)
iface=   1, ipnt= 187 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    2.81250000)
...too many errors to list
iface=   2, ipnt=   1 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    3.00000000)
iface=   2, ipnt=   3 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    3.00000000)
iface=   2, ipnt=   3 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    3.00000000)
iface=   2, ipnt=  93 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    0.00000000)
iface=   2, ipnt=  93 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    0.00000000)
iface=   2, ipnt=  95 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    0.00000000)
iface=   2, ipnt= 128 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    2.90625000)
iface=   2, ipnt= 130 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    2.90625000)
iface=   2, ipnt= 130 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    2.90625000)
iface=   2, ipnt= 159 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    2.81250000)
...too many errors to list
iface=   3, ipnt=  29 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    3.00000000)
iface=   3, ipnt=  29 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    3.00000000)
iface=   3, ipnt=  31 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    3.00000000)
iface=   3, ipnt=  65 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    0.00000000)
iface=   3, ipnt=  67 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    0.00000000)
iface=   3, ipnt=  67 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    0.00000000)
iface=   3, ipnt= 156 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    2.90625000)
iface=   3, ipnt= 156 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    2.90625000)
iface=   3, ipnt= 158 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    2.90625000)
iface=   3, ipnt= 187 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    2.81250000)
...too many errors to list
iface=   4, ipnt=   1 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    3.00000000)
iface=   4, ipnt=   3 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    3.00000000)
iface=   4, ipnt=   3 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    3.00000000)
iface=   4, ipnt=  93 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    0.00000000)
iface=   4, ipnt=  93 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    0.00000000)
iface=   4, ipnt=  95 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    0.00000000)
iface=   4, ipnt= 128 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    2.90625000)
iface=   4, ipnt= 130 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    2.90625000)
iface=   4, ipnt= 130 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    2.90625000)
iface=   4, ipnt= 159 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    2.81250000)
...too many errors to list
    d(Face)/d(ry) check complete with      396 total errors (errmax=  2.3319e-04)
iedge=   3, ipnt=  29 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    0.00000000)
iedge=   3, ipnt=  29 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    0.00000000)
iedge=   3, ipnt=  31 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    0.00000000)
iedge=   4, ipnt=  29 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622    2.92802835    3.00000000)
iedge=   4, ipnt=  29 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at    0.33094622    2.92802835    3.00000000)
iedge=   4, ipnt=  31 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at    0.11279946    2.98530050    3.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    0.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    0.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    0.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.97905997,  fd=   0.97888701,  err=   0.00017296 (at   -0.11279946    2.98530050    3.00000000)
iedge=   7, ipnt=   3 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622    2.92802835    3.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.80901411,  fd=   0.80924730,  err=  -0.00023319 (at   -0.33094622    2.92802835    3.00000000)
iedge=   9, ipnt=  29 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   9, ipnt=  29 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    0.00000000)
iedge=   9, ipnt=  31 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    0.00000000)
iedge=  10, ipnt=  29 (X): anal=  -0.36756168,  fd=  -0.36766762,  err=   0.00010595 (at   -0.33094622   -2.92802835    3.00000000)
iedge=  10, ipnt=  29 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at   -0.33094622   -2.92802835    3.00000000)
iedge=  10, ipnt=  31 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at   -0.11279946   -2.98530050    3.00000000)
iedge=  11, ipnt=   1 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    0.00000000)
iedge=  11, ipnt=   3 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    0.00000000)
iedge=  11, ipnt=   3 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    0.00000000)
iedge=  12, ipnt=   1 (Y): anal=  -0.97905997,  fd=  -0.97888701,  err=  -0.00017296 (at    0.11279946   -2.98530050    3.00000000)
iedge=  12, ipnt=   3 (X): anal=   0.36756168,  fd=   0.36766762,  err=  -0.00010595 (at    0.33094622   -2.92802835    3.00000000)
iedge=  12, ipnt=   3 (Y): anal=  -0.80901411,  fd=  -0.80924730,  err=   0.00023319 (at    0.33094622   -2.92802835    3.00000000)
    d(Edge)/d(ry) check complete with       24 total errors (errmax=  2.3319e-04)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2

Comparing configuration sensitivities wrt "span" for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  8.4056e-10)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(span) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.923 sec

Sensitivity checks complete with     1260 tnotal errors (max config err=  4.6646e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0v.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "rx"
*********************************************************

Generating perturbed configuration with delta-rx[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(rx) check complete with        0 total errors (errmax=  7.6713e-07)
    d(Edge)/d(rx) check complete with        0 total errors (errmax=  7.6713e-07)
    d(Node)/d(rx) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ry"
*********************************************************

Generating perturbed configuration with delta-ry[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(ry) check complete with        0 total errors (errmax=  7.6973e-07)
    d(Edge)/d(ry) check complete with        0 total errors (errmax=  7.6973e-07)
    d(Node)/d(ry) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "span"
*********************************************************

Generating perturbed configuration with delta-span[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=2
Computing distances of perturbed points from perturbed configuration for ibody=2
    d(Face)/d(span) check complete with        0 total errors (errmax=  1.6947e-15)
    d(Edge)/d(span) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(span) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.922 sec

Sensitivity checks complete with        0 total errors (max tessel err=  7.6973e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design0w.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[1,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.9124e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  5.7150e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[2,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.3131e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  4.5978e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[3,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  3.1019e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  4.6652e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  3.0478e-10)

*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26
    d(Face)/d(xle) check complete with        0 total errors (errmax=  4.3366e-10)
    d(Edge)/d(xle) check complete with        0 total errors (errmax=  3.8715e-10)
    d(Node)/d(xle) check complete with        0 total errors (errmax=  8.2740e-11)
 

*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  2.4938e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  6.3752e-11)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  4.3368e-19)

*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  2.5120e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.3930e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  2.5307e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  3.0478e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  8.2740e-11)

*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  7.4887e-10)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  3.0478e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[1,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  2.8991e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.7658e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[2,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  2.6061e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  8.2476e-11)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  5.2636e-13)

*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[3,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  2.7149e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  1.0413e-10)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)

*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "zle[4,1]" for ibody=26
    d(Face)/d(zle) check complete with        0 total errors (errmax=  2.5307e-10)
    d(Edge)/d(zle) check complete with        0 total errors (errmax=  1.8257e-10)
    d(Node)/d(zle) check complete with        0 total errors (errmax=  2.8282e-11)
 

*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[1,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0790e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.0816e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.6524e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[2,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.1927e-07)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.2029e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.2480e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[3,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.9618e-07)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.0340e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  2.8547e-10)

*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "twist[4,1]" for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.1647e-07)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.2547e-07)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  2.7524e-10)
 

*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[1,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.6097e-07)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  4.7431e-07)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.6131e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[2,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.7466e-07)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  4.7689e-07)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  2.4029e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[3,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.5312e-07)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  4.7094e-07)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.9318e-10)

*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "chord[4,1]" for ibody=26
    d(Face)/d(chord) check complete with        0 total errors (errmax=  4.3988e-07)
    d(Edge)/d(chord) check complete with        0 total errors (errmax=  4.7749e-07)
    d(Node)/d(chord) check complete with        0 total errors (errmax=  1.6448e-10)
 

*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[1,1]" for ibody=26
iface=   1, ipnt=   1 (X): anal=   0.04225197,  fd=   0.03855093,  err=   0.00370104 (at    1.16201397    0.00000000    0.15725553)
iface=   1, ipnt=   1 (Y): anal=  -0.02226086,  fd=  -0.02031093,  err=  -0.00194993 (at    1.16201397    0.00000000    0.15725553)
iface=   1, ipnt=   1 (Z): anal=   0.03532235,  fd=   0.03222830,  err=   0.00309404 (at    1.16201397    0.00000000    0.15725553)
iface=   1, ipnt=   2 (X): anal=   0.07138529,  fd=   0.06998862,  err=   0.00139668 (at    1.14958817    0.00000000    0.16877713)
iface=   1, ipnt=   2 (Y): anal=  -0.03881772,  fd=  -0.03805824,  err=  -0.00075948 (at    1.14958817    0.00000000    0.16877713)
iface=   1, ipnt=   2 (Z): anal=   0.09572636,  fd=   0.09385344,  err=   0.00187292 (at    1.14958817    0.00000000    0.16877713)
iface=   1, ipnt=   3 (X): anal=   0.08977259,  fd=   0.09288440,  err=  -0.00311181 (at    1.11963503    0.00000000    0.18583304)
iface=   1, ipnt=   3 (Y): anal=  -0.04876778,  fd=  -0.05045824,  err=   0.00169045 (at    1.11963503    0.00000000    0.18583304)
iface=   1, ipnt=   3 (Z): anal=   0.19631788,  fd=   0.20312291,  err=  -0.00680502 (at    1.11963503    0.00000000    0.18583304)
iface=   1, ipnt=   4 (X): anal=   0.09359640,  fd=   0.09304219,  err=   0.00055421 (at    1.08766357    0.00000000    0.19848031)
...too many errors to list
iface=   4, ipnt=  10 (Z): anal=   0.38305041,  fd=   0.38282343,  err=   0.00022698 (at    0.30273338    0.00000000    0.30869799)
iface=   4, ipnt=  11 (Y): anal=   0.09958324,  fd=   0.09975898,  err=  -0.00017574 (at    0.26820664    0.00000000    0.30787850)
iface=   4, ipnt=  11 (Z): anal=   0.34556476,  fd=   0.34617458,  err=  -0.00060983 (at    0.26820664    0.00000000    0.30787850)
iface=   4, ipnt=  12 (Y): anal=   0.10077270,  fd=   0.10057493,  err=   0.00019777 (at    0.23363293    0.00000000    0.30610022)
iface=   4, ipnt=  12 (Z): anal=   0.30125348,  fd=   0.30066225,  err=   0.00059123 (at    0.23363293    0.00000000    0.30610022)
iface=   4, ipnt=  13 (X): anal=  -0.02659659,  fd=  -0.02643910,  err=  -0.00015749 (at    0.19909786    0.00000000    0.30312380)
iface=   4, ipnt=  13 (Y): anal=   0.09831061,  fd=   0.09772849,  err=   0.00058213 (at    0.19909786    0.00000000    0.30312380)
iface=   4, ipnt=  13 (Z): anal=   0.24849364,  fd=   0.24702223,  err=   0.00147140 (at    0.19909786    0.00000000    0.30312380)
iface=   4, ipnt=  14 (X): anal=  -0.03434307,  fd=  -0.03553351,  err=   0.00119044 (at    0.16506299    0.00000000    0.29824987)
iface=   4, ipnt=  14 (Y): anal=   0.09346076,  fd=   0.09670042,  err=  -0.00323966 (at    0.16506299    0.00000000    0.29824987)
...too many errors to list
iface=   7, ipnt=   1 (X): anal=  -0.02173184,  fd=  -0.01982825,  err=  -0.00190359 (at    0.11407294   -0.00000000    0.25370739)
iface=   7, ipnt=   1 (Y): anal=   0.03181948,  fd=   0.02903227,  err=   0.00278721 (at    0.11407294   -0.00000000    0.25370739)
iface=   7, ipnt=   1 (Z): anal=  -0.01816766,  fd=  -0.01657627,  err=  -0.00159139 (at    0.11407294   -0.00000000    0.25370739)
iface=   7, ipnt=   2 (X): anal=  -0.04657631,  fd=  -0.04566503,  err=  -0.00091128 (at    0.12649875   -0.00000000    0.24218579)
iface=   7, ipnt=   2 (Y): anal=   0.06493481,  fd=   0.06366434,  err=   0.00127047 (at    0.12649875   -0.00000000    0.24218579)
iface=   7, ipnt=   2 (Z): anal=  -0.06245798,  fd=  -0.06123597,  err=  -0.00122201 (at    0.12649875   -0.00000000    0.24218579)
iface=   7, ipnt=   3 (X): anal=  -0.07286826,  fd=  -0.07539412,  err=   0.00252585 (at    0.15645188   -0.00000000    0.22512987)
iface=   7, ipnt=   3 (Y): anal=   0.09514710,  fd=   0.09844521,  err=  -0.00329811 (at    0.15645188   -0.00000000    0.22512987)
iface=   7, ipnt=   3 (Z): anal=  -0.15935090,  fd=  -0.16487452,  err=   0.00552363 (at    0.15645188   -0.00000000    0.22512987)
iface=   7, ipnt=   4 (X): anal=  -0.08210667,  fd=  -0.08162049,  err=  -0.00048618 (at    0.18842334   -0.00000000    0.21248260)
...too many errors to list
iface=  10, ipnt=  10 (Z): anal=  -0.40117444,  fd=  -0.40093673,  err=  -0.00023772 (at    0.97335354   -0.00000000    0.10226492)
iface=  10, ipnt=  11 (Z): anal=  -0.37001469,  fd=  -0.37066766,  err=   0.00065297 (at    1.00788027   -0.00000000    0.10308441)
iface=  10, ipnt=  12 (Z): anal=  -0.33215835,  fd=  -0.33150647,  err=  -0.00065188 (at    1.04245398   -0.00000000    0.10486269)
iface=  10, ipnt=  13 (X): anal=   0.03057281,  fd=   0.03039178,  err=   0.00018103 (at    1.07698905   -0.00000000    0.10783912)
iface=  10, ipnt=  13 (Y): anal=   0.01940701,  fd=   0.01929209,  err=   0.00011491 (at    1.07698905   -0.00000000    0.10783912)
iface=  10, ipnt=  13 (Z): anal=  -0.28564378,  fd=  -0.28395240,  err=  -0.00169138 (at    1.07698905   -0.00000000    0.10783912)
iface=  10, ipnt=  14 (X): anal=   0.04381914,  fd=   0.04533806,  err=  -0.00151892 (at    1.11102393   -0.00000000    0.11271304)
iface=  10, ipnt=  14 (Y): anal=   0.00474830,  fd=   0.00491290,  err=  -0.00016459 (at    1.11102393   -0.00000000    0.11271304)
iface=  10, ipnt=  14 (Z): anal=  -0.22251423,  fd=  -0.23022731,  err=   0.00771308 (at    1.11102393   -0.00000000    0.11271304)
iface=  10, ipnt=  15 (X): anal=   0.05172821,  fd=   0.05071613,  err=   0.00101208 (at    1.14411988   -0.00000000    0.12234387)
...too many errors to list
    d(Face)/d(thick) check complete with     2580 total errors (errmax=  7.7131e-03)
iedge=   2, ipnt=   1 (X): anal=   0.04915554,  fd=   0.04484978,  err=   0.00430575 (at    1.16201397    0.00000000    0.15725553)
iedge=   2, ipnt=   1 (Z): anal=   0.04109367,  fd=   0.03749410,  err=   0.00359958 (at    1.16201397    0.00000000    0.15725553)
iedge=   2, ipnt=   2 (X): anal=   0.07892870,  fd=   0.07738444,  err=   0.00154426 (at    1.14958817    0.00000000    0.16877713)
iedge=   2, ipnt=   2 (Z): anal=   0.10584193,  fd=   0.10377110,  err=   0.00207083 (at    1.14958817    0.00000000    0.16877713)
iedge=   2, ipnt=   3 (X): anal=   0.09435428,  fd=   0.09762491,  err=  -0.00327063 (at    1.11963503    0.00000000    0.18583304)
iedge=   2, ipnt=   3 (Z): anal=   0.20633728,  fd=   0.21348961,  err=  -0.00715233 (at    1.11963503    0.00000000    0.18583304)
iedge=   2, ipnt=   4 (X): anal=   0.09653328,  fd=   0.09596168,  err=   0.00057160 (at    1.08766357    0.00000000    0.19848031)
iedge=   2, ipnt=   4 (Z): anal=   0.27196209,  fd=   0.27035172,  err=   0.00161037 (at    1.08766357    0.00000000    0.19848031)
iedge=   2, ipnt=   5 (X): anal=   0.09967382,  fd=   0.09947820,  err=   0.00019562 (at    1.05476479    0.00000000    0.20939820)
iedge=   2, ipnt=   5 (Z): anal=   0.32042234,  fd=   0.31979348,  err=   0.00062885 (at    1.05476479    0.00000000    0.20939820)
...too many errors to list
iedge=  11, ipnt=   8 (Z): anal=   0.45739519,  fd=   0.45749559,  err=  -0.00010040 (at    0.37191884    0.00000000    0.30816720)
iedge=  11, ipnt=  10 (Z): anal=   0.40701652,  fd=   0.40677534,  err=   0.00024118 (at    0.30273338    0.00000000    0.30869799)
iedge=  11, ipnt=  11 (Z): anal=   0.37422361,  fd=   0.37488401,  err=  -0.00066040 (at    0.26820664    0.00000000    0.30787850)
iedge=  11, ipnt=  12 (Z): anal=   0.33481142,  fd=   0.33415433,  err=   0.00065709 (at    0.23363293    0.00000000    0.30610022)
iedge=  11, ipnt=  13 (X): anal=  -0.03071234,  fd=  -0.03053048,  err=  -0.00018186 (at    0.19909786    0.00000000    0.30312380)
iedge=  11, ipnt=  13 (Z): anal=   0.28694739,  fd=   0.28524829,  err=   0.00169910 (at    0.19909786    0.00000000    0.30312380)
iedge=  11, ipnt=  14 (X): anal=  -0.04383835,  fd=  -0.04535793,  err=   0.00151958 (at    0.16506299    0.00000000    0.29824987)
iedge=  11, ipnt=  14 (Z): anal=   0.22261178,  fd=   0.23032823,  err=  -0.00771646 (at    0.16506299    0.00000000    0.29824987)
iedge=  11, ipnt=  15 (X): anal=  -0.05031353,  fd=  -0.05229177,  err=   0.00197824 (at    0.14831682    0.00000000    0.29427729)
iedge=  11, ipnt=  15 (Z): anal=   0.17818260,  fd=   0.18518843,  err=  -0.00700582 (at    0.14831682    0.00000000    0.29427729)
...too many errors to list
iedge=  18, ipnt=   1 (X): anal=  -0.04915554,  fd=  -0.04484978,  err=  -0.00430575 (at    0.11407294   -0.00000000    0.25370739)
iedge=  18, ipnt=   1 (Z): anal=  -0.04109367,  fd=  -0.03749409,  err=  -0.00359958 (at    0.11407294   -0.00000000    0.25370739)
iedge=  18, ipnt=   2 (X): anal=  -0.07892870,  fd=  -0.07738444,  err=  -0.00154427 (at    0.12649875   -0.00000000    0.24218579)
iedge=  18, ipnt=   2 (Z): anal=  -0.10584193,  fd=  -0.10377110,  err=  -0.00207083 (at    0.12649875   -0.00000000    0.24218579)
iedge=  18, ipnt=   3 (X): anal=  -0.09435428,  fd=  -0.09762491,  err=   0.00327063 (at    0.15645188   -0.00000000    0.22512987)
iedge=  18, ipnt=   3 (Z): anal=  -0.20633728,  fd=  -0.21348961,  err=   0.00715233 (at    0.15645188   -0.00000000    0.22512987)
iedge=  18, ipnt=   4 (X): anal=  -0.09653328,  fd=  -0.09596168,  err=  -0.00057160 (at    0.18842334   -0.00000000    0.21248260)
iedge=  18, ipnt=   4 (Z): anal=  -0.27196209,  fd=  -0.27035172,  err=  -0.00161037 (at    0.18842334   -0.00000000    0.21248260)
iedge=  18, ipnt=   5 (X): anal=  -0.09967382,  fd=  -0.09947820,  err=  -0.00019562 (at    0.22132212   -0.00000000    0.20156471)
iedge=  18, ipnt=   5 (Z): anal=  -0.32042234,  fd=  -0.31979348,  err=  -0.00062885 (at    0.22132212   -0.00000000    0.20156471)
...too many errors to list
iedge=  25, ipnt=   8 (Z): anal=  -0.45739519,  fd=  -0.45749559,  err=   0.00010040 (at    0.90416807   -0.00000000    0.10279572)
iedge=  25, ipnt=  10 (Z): anal=  -0.40701652,  fd=  -0.40677534,  err=  -0.00024118 (at    0.97335354   -0.00000000    0.10226492)
iedge=  25, ipnt=  11 (Z): anal=  -0.37422361,  fd=  -0.37488401,  err=   0.00066040 (at    1.00788027   -0.00000000    0.10308441)
iedge=  25, ipnt=  12 (Z): anal=  -0.33481142,  fd=  -0.33415433,  err=  -0.00065709 (at    1.04245398   -0.00000000    0.10486269)
iedge=  25, ipnt=  13 (X): anal=   0.03071234,  fd=   0.03053048,  err=   0.00018186 (at    1.07698905   -0.00000000    0.10783912)
iedge=  25, ipnt=  13 (Z): anal=  -0.28694739,  fd=  -0.28524829,  err=  -0.00169910 (at    1.07698905   -0.00000000    0.10783912)
iedge=  25, ipnt=  14 (X): anal=   0.04383835,  fd=   0.04535793,  err=  -0.00151958 (at    1.11102393   -0.00000000    0.11271304)
iedge=  25, ipnt=  14 (Z): anal=  -0.22261178,  fd=  -0.23032823,  err=   0.00771646 (at    1.11102393   -0.00000000    0.11271304)
iedge=  25, ipnt=  15 (X): anal=   0.05218102,  fd=   0.05116009,  err=   0.00102094 (at    1.14411988   -0.00000000    0.12234387)
iedge=  25, ipnt=  15 (Z): anal=  -0.12128230,  fd=  -0.11890937,  err=  -0.00237293 (at    1.14411988   -0.00000000    0.12234387)
...too many errors to list
    d(Edge)/d(thick) check complete with       52 total errors (errmax=  7.7165e-03)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  9.3983e-11)

*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[2,1]" for ibody=26
iface=   1, ipnt=  38 (Z): anal=   0.21900274,  fd=   0.21884665,  err=   0.00015609 (at    1.26461609    0.42799900    0.20379896)
iface=   1, ipnt=  39 (Z): anal=   0.18208277,  fd=   0.18134231,  err=   0.00074046 (at    1.30068481    0.42799900    0.19958534)
iface=   1, ipnt=  40 (X): anal=   0.02778404,  fd=   0.02901021,  err=  -0.00122617 (at    1.33629603    0.42799900    0.19342229)
iface=   1, ipnt=  40 (Y): anal=  -0.01617671,  fd=  -0.01689062,  err=   0.00071391 (at    1.33629603    0.42799900    0.19342229)
iface=   1, ipnt=  40 (Z): anal=   0.12305871,  fd=   0.12848954,  err=  -0.00543084 (at    1.33629603    0.42799900    0.19342229)
iface=   1, ipnt=  41 (X): anal=   0.02653812,  fd=   0.02438938,  err=   0.00214874 (at    1.35402106    0.42799900    0.18878525)
iface=   1, ipnt=  41 (Y): anal=  -0.01645872,  fd=  -0.01512609,  err=  -0.00133263 (at    1.35402106    0.42799900    0.18878525)
iface=   1, ipnt=  41 (Z): anal=   0.07823557,  fd=   0.07190099,  err=   0.00633458 (at    1.35402106    0.42799900    0.18878525)
iface=   1, ipnt=  42 (X): anal=   0.02332388,  fd=   0.01972596,  err=   0.00359791 (at    1.36219697    0.42799900    0.18507429)
iface=   1, ipnt=  42 (Y): anal=  -0.01349374,  fd=  -0.01141221,  err=  -0.00208153 (at    1.36219697    0.42799900    0.18507429)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.01286225,  fd=   0.01111504,  err=   0.00174722 (at    1.36571766    0.42799900    0.18245793)
iface=   2, ipnt=   1 (Y): anal=  -0.00947831,  fd=  -0.00819077,  err=  -0.00128754 (at    1.36571766    0.42799900    0.18245793)
iface=   2, ipnt=   1 (Z): anal=   0.01434532,  fd=   0.01239664,  err=   0.00194868 (at    1.36571766    0.42799900    0.18245793)
iface=   2, ipnt=   2 (X): anal=   0.02182326,  fd=   0.01845683,  err=   0.00336643 (at    1.36219697    0.42799900    0.18507429)
iface=   2, ipnt=   2 (Y): anal=  -0.01698888,  fd=  -0.01436820,  err=  -0.00262068 (at    1.36219697    0.42799900    0.18507429)
iface=   2, ipnt=   2 (Z): anal=   0.03526355,  fd=   0.02982384,  err=   0.00543971 (at    1.36219697    0.42799900    0.18507429)
iface=   2, ipnt=   3 (X): anal=   0.02554875,  fd=   0.02348012,  err=   0.00206863 (at    1.35402106    0.42799900    0.18878525)
iface=   2, ipnt=   3 (Y): anal=  -0.02248889,  fd=  -0.02066801,  err=  -0.00182088 (at    1.35402106    0.42799900    0.18878525)
iface=   2, ipnt=   3 (Z): anal=   0.07531887,  fd=   0.06922045,  err=   0.00609842 (at    1.35402106    0.42799900    0.18878525)
iface=   2, ipnt=   4 (X): anal=   0.02699214,  fd=   0.02818336,  err=  -0.00119122 (at    1.33629603    0.42799900    0.19342229)
...too many errors to list
iface=   4, ipnt=  83 (X): anal=  -0.00640528,  fd=  -0.00553519,  err=  -0.00087010 (at    0.80025235    0.42799900    0.18999354)
iface=   4, ipnt=  83 (Y): anal=   0.01178412,  fd=   0.01018335,  err=   0.00160076 (at    0.80025235    0.42799900    0.18999354)
iface=   4, ipnt=  83 (Z): anal=   0.00753872,  fd=   0.00651466,  err=   0.00102406 (at    0.80025235    0.42799900    0.18999354)
iface=   4, ipnt=  84 (X): anal=  -0.01241952,  fd=  -0.01050370,  err=  -0.00191582 (at    0.80384151    0.42799900    0.19251514)
iface=   4, ipnt=  84 (Y): anal=   0.02421064,  fd=   0.02047594,  err=   0.00373470 (at    0.80384151    0.42799900    0.19251514)
iface=   4, ipnt=  84 (Z): anal=   0.02131767,  fd=   0.01802923,  err=   0.00328844 (at    0.80384151    0.42799900    0.19251514)
iface=   4, ipnt=  85 (X): anal=  -0.01746152,  fd=  -0.01604769,  err=  -0.00141382 (at    0.81211341    0.42799900    0.19600691)
iface=   4, ipnt=  85 (Y): anal=   0.03982700,  fd=   0.03660229,  err=   0.00322471 (at    0.81211341    0.42799900    0.19600691)
iface=   4, ipnt=  85 (Z): anal=   0.05637304,  fd=   0.05180863,  err=   0.00456442 (at    0.81211341    0.42799900    0.19600691)
iface=   4, ipnt=  86 (X): anal=  -0.01948193,  fd=  -0.02034170,  err=   0.00085978 (at    0.82995572    0.42799900    0.20016998)
...too many errors to list
iface=   5, ipnt=   5 (Z): anal=   0.21893742,  fd=   0.21878137,  err=   0.00015605 (at    0.90188672    0.42799900    0.20863283)
iface=   5, ipnt=   6 (Z): anal=   0.18178084,  fd=   0.18104161,  err=   0.00073923 (at    0.86571852    0.42799900    0.20538186)
iface=   5, ipnt=   7 (X): anal=  -0.02405644,  fd=  -0.02511810,  err=   0.00106166 (at    0.82995572    0.42799900    0.20016998)
iface=   5, ipnt=   7 (Y): anal=   0.02316885,  fd=   0.02419134,  err=  -0.00102249 (at    0.82995572    0.42799900    0.20016998)
iface=   5, ipnt=   7 (Z): anal=   0.12154011,  fd=   0.12690393,  err=  -0.00536382 (at    0.82995572    0.42799900    0.20016998)
iface=   5, ipnt=   8 (X): anal=  -0.02331882,  fd=  -0.02143074,  err=  -0.00188808 (at    0.81211341    0.42799900    0.19600691)
iface=   5, ipnt=   8 (Y): anal=   0.02362399,  fd=   0.02171120,  err=   0.00191279 (at    0.81211341    0.42799900    0.19600691)
iface=   5, ipnt=   8 (Z): anal=   0.07528286,  fd=   0.06918735,  err=   0.00609551 (at    0.81211341    0.42799900    0.19600691)
iface=   5, ipnt=   9 (X): anal=  -0.01896248,  fd=  -0.01603735,  err=  -0.00292513 (at    0.80384151    0.42799900    0.19251514)
iface=   5, ipnt=   9 (Y): anal=   0.02013317,  fd=   0.01702745,  err=   0.00310572 (at    0.80384151    0.42799900    0.19251514)
...too many errors to list
iface=   7, ipnt=  38 (Z): anal=  -0.21707800,  fd=  -0.21692328,  err=  -0.00015472 (at    0.90126729    0.42799900    0.16215114)
iface=   7, ipnt=  39 (Z): anal=  -0.18015173,  fd=  -0.17941912,  err=  -0.00073261 (at    0.86519856    0.42799900    0.16636476)
iface=   7, ipnt=  40 (X): anal=  -0.02685643,  fd=  -0.02804166,  err=   0.00118523 (at    0.82958735    0.42799900    0.17252781)
iface=   7, ipnt=  40 (Y): anal=   0.02768701,  fd=   0.02890890,  err=  -0.00122189 (at    0.82958735    0.42799900    0.17252781)
iface=   7, ipnt=  40 (Z): anal=  -0.11895019,  fd=  -0.12419971,  err=   0.00524952 (at    0.82958735    0.42799900    0.17252781)
iface=   7, ipnt=  41 (X): anal=  -0.02428468,  fd=  -0.02231840,  err=  -0.00196628 (at    0.81186232    0.42799900    0.17716485)
iface=   7, ipnt=  41 (Y): anal=   0.02789653,  fd=   0.02563780,  err=   0.00225873 (at    0.81186232    0.42799900    0.17716485)
iface=   7, ipnt=  41 (Z): anal=  -0.07159233,  fd=  -0.06579564,  err=  -0.00579669 (at    0.81186232    0.42799900    0.17716485)
iface=   7, ipnt=  42 (X): anal=  -0.01710201,  fd=  -0.01446388,  err=  -0.00263814 (at    0.80368640    0.42799900    0.18087581)
iface=   7, ipnt=  42 (Y): anal=   0.02275404,  fd=   0.01924403,  err=   0.00351001 (at    0.80368640    0.42799900    0.18087581)
...too many errors to list
iface=   8, ipnt=   1 (X): anal=  -0.00991124,  fd=  -0.00856489,  err=  -0.00134635 (at    0.80016571    0.42799900    0.18349217)
iface=   8, ipnt=   1 (Y): anal=   0.01161278,  fd=   0.01003529,  err=   0.00157749 (at    0.80016571    0.42799900    0.18349217)
iface=   8, ipnt=   1 (Z): anal=  -0.01105405,  fd=  -0.00955246,  err=  -0.00150159 (at    0.80016571    0.42799900    0.18349217)
iface=   8, ipnt=   2 (X): anal=  -0.01827848,  fd=  -0.01545887,  err=  -0.00281962 (at    0.80368640    0.42799900    0.18087581)
iface=   8, ipnt=   2 (Y): anal=   0.02181080,  fd=   0.01844629,  err=   0.00336451 (at    0.80368640    0.42799900    0.18087581)
iface=   8, ipnt=   2 (Z): anal=  -0.02953566,  fd=  -0.02497953,  err=  -0.00455613 (at    0.80368640    0.42799900    0.18087581)
iface=   8, ipnt=   3 (X): anal=  -0.02371009,  fd=  -0.02179033,  err=  -0.00191976 (at    0.81186232    0.42799900    0.17716485)
iface=   8, ipnt=   3 (Y): anal=   0.02986351,  fd=   0.02744552,  err=   0.00241799 (at    0.81186232    0.42799900    0.17716485)
iface=   8, ipnt=   3 (Z): anal=  -0.06989842,  fd=  -0.06423888,  err=  -0.00565954 (at    0.81186232    0.42799900    0.17716485)
iface=   8, ipnt=   4 (X): anal=  -0.02594737,  fd=  -0.02709248,  err=   0.00114511 (at    0.82958735    0.42799900    0.17252781)
...too many errors to list
iface=  10, ipnt=  50 (X): anal=   0.01468335,  fd=   0.01268876,  err=   0.00199460 (at    1.36563103    0.42799900    0.17595656)
iface=  10, ipnt=  50 (Y): anal=  -0.00533006,  fd=  -0.00460602,  err=  -0.00072404 (at    1.36563103    0.42799900    0.17595656)
iface=  10, ipnt=  50 (Z): anal=  -0.01728162,  fd=  -0.01493407,  err=  -0.00234755 (at    1.36563103    0.42799900    0.17595656)
iface=  10, ipnt=  51 (X): anal=   0.02379940,  fd=   0.02012813,  err=   0.00367127 (at    1.36204186    0.42799900    0.17343496)
iface=  10, ipnt=  51 (Y): anal=  -0.00737991,  fd=  -0.00624149,  err=  -0.00113842 (at    1.36204186    0.42799900    0.17343496)
iface=  10, ipnt=  51 (Z): anal=  -0.04085083,  fd=  -0.03454923,  err=  -0.00630160 (at    1.36204186    0.42799900    0.17343496)
iface=  10, ipnt=  52 (X): anal=   0.02537196,  fd=   0.02331765,  err=   0.00205432 (at    1.35376996    0.42799900    0.16994319)
iface=  10, ipnt=  52 (Y): anal=  -0.00349265,  fd=  -0.00320986,  err=  -0.00028279 (at    1.35376996    0.42799900    0.16994319)
iface=  10, ipnt=  52 (Z): anal=  -0.08191125,  fd=  -0.07527906,  err=  -0.00663219 (at    1.35376996    0.42799900    0.16994319)
iface=  10, ipnt=  53 (X): anal=   0.02488728,  fd=   0.02598561,  err=  -0.00109833 (at    1.33592766    0.42799900    0.16578013)
...too many errors to list
iface=  11, ipnt=   5 (Z): anal=  -0.21901681,  fd=  -0.21886071,  err=  -0.00015610 (at    1.26399665    0.42799900    0.15731727)
iface=  11, ipnt=   6 (Z): anal=  -0.18304042,  fd=  -0.18229606,  err=  -0.00074436 (at    1.30016485    0.42799900    0.16056824)
iface=  11, ipnt=   7 (X): anal=   0.02487135,  fd=   0.02596897,  err=  -0.00109762 (at    1.33592766    0.42799900    0.16578013)
iface=  11, ipnt=   7 (Y): anal=  -0.00416650,  fd=  -0.00435038,  err=   0.00018388 (at    1.33592766    0.42799900    0.16578013)
iface=  11, ipnt=   7 (Z): anal=  -0.12565728,  fd=  -0.13120279,  err=   0.00554552 (at    1.33592766    0.42799900    0.16578013)
iface=  11, ipnt=   8 (X): anal=   0.02514805,  fd=   0.02311186,  err=   0.00203619 (at    1.35376996    0.42799900    0.16994319)
iface=  11, ipnt=   8 (Y): anal=  -0.00874139,  fd=  -0.00803362,  err=  -0.00070777 (at    1.35376996    0.42799900    0.16994319)
iface=  11, ipnt=   8 (Z): anal=  -0.08118837,  fd=  -0.07461470,  err=  -0.00657366 (at    1.35376996    0.42799900    0.16994319)
iface=  11, ipnt=   9 (X): anal=   0.02298290,  fd=   0.01943759,  err=   0.00354531 (at    1.36204186    0.42799900    0.17343496)
iface=  11, ipnt=   9 (Y): anal=  -0.01125379,  fd=  -0.00951779,  err=  -0.00173600 (at    1.36204186    0.42799900    0.17343496)
...too many errors to list
    d(Face)/d(thick) check complete with     3562 total errors (errmax=  7.5904e-03)
iedge=   4, ipnt=   1 (X): anal=   0.01597498,  fd=   0.01380493,  err=   0.00217005 (at    1.36571766    0.42799900    0.18245793)
iedge=   4, ipnt=   1 (Z): anal=   0.01781695,  fd=   0.01539669,  err=   0.00242027 (at    1.36571766    0.42799900    0.18245793)
iedge=   4, ipnt=   2 (X): anal=   0.02548576,  fd=   0.02155436,  err=   0.00393140 (at    1.36219697    0.42799900    0.18507429)
iedge=   4, ipnt=   2 (Z): anal=   0.04118168,  fd=   0.03482904,  err=   0.00635263 (at    1.36219697    0.42799900    0.18507429)
iedge=   4, ipnt=   3 (X): anal=   0.02759142,  fd=   0.02535740,  err=   0.00223402 (at    1.35402106    0.42799900    0.18878525)
iedge=   4, ipnt=   3 (Z): anal=   0.08134077,  fd=   0.07475477,  err=   0.00658600 (at    1.35402106    0.42799900    0.18878525)
iedge=   4, ipnt=   4 (X): anal=   0.02824088,  fd=   0.02948721,  err=  -0.00124633 (at    1.33629603    0.42799900    0.19342229)
iedge=   4, ipnt=   4 (Z): anal=   0.12508207,  fd=   0.13060221,  err=  -0.00552013 (at    1.33629603    0.42799900    0.19342229)
iedge=   4, ipnt=   5 (Z): anal=   0.18259353,  fd=   0.18185099,  err=   0.00074254 (at    1.30068481    0.42799900    0.19958534)
iedge=   4, ipnt=   6 (Z): anal=   0.21901759,  fd=   0.21886149,  err=   0.00015610 (at    1.26461609    0.42799900    0.20379896)
iedge=  13, ipnt=   5 (Z): anal=   0.21952499,  fd=   0.21936853,  err=   0.00015647 (at    0.90188672    0.42799900    0.20863283)
iedge=  13, ipnt=   6 (Z): anal=   0.18317476,  fd=   0.18242985,  err=   0.00074490 (at    0.86571852    0.42799900    0.20538186)
iedge=  13, ipnt=   7 (X): anal=  -0.02489766,  fd=  -0.02599645,  err=   0.00109879 (at    0.82995572    0.42799900    0.20016998)
iedge=  13, ipnt=   7 (Z): anal=   0.12579022,  fd=   0.13134161,  err=  -0.00555139 (at    0.82995572    0.42799900    0.20016998)
iedge=  13, ipnt=   8 (X): anal=  -0.02541405,  fd=  -0.02335633,  err=  -0.00205773 (at    0.81211341    0.42799900    0.19600691)
iedge=  13, ipnt=   8 (Z): anal=   0.08204714,  fd=   0.07540394,  err=   0.00664320 (at    0.81211341    0.42799900    0.19600691)
iedge=  13, ipnt=   9 (X): anal=  -0.02437930,  fd=  -0.02061858,  err=  -0.00376072 (at    0.80384151    0.42799900    0.19251514)
iedge=  13, ipnt=   9 (Z): anal=   0.04184620,  fd=   0.03539106,  err=   0.00645514 (at    0.80384151    0.42799900    0.19251514)
iedge=  13, ipnt=  10 (X): anal=  -0.01549452,  fd=  -0.01338973,  err=  -0.00210479 (at    0.80025235    0.42799900    0.18999354)
iedge=  13, ipnt=  10 (Z): anal=   0.01823633,  fd=   0.01575909,  err=   0.00247723 (at    0.80025235    0.42799900    0.18999354)
iedge=  20, ipnt=   1 (X): anal=  -0.01597498,  fd=  -0.01380493,  err=  -0.00217005 (at    0.80016571    0.42799900    0.18349217)
iedge=  20, ipnt=   1 (Z): anal=  -0.01781695,  fd=  -0.01539669,  err=  -0.00242027 (at    0.80016571    0.42799900    0.18349217)
iedge=  20, ipnt=   2 (X): anal=  -0.02548576,  fd=  -0.02155436,  err=  -0.00393140 (at    0.80368640    0.42799900    0.18087581)
iedge=  20, ipnt=   2 (Z): anal=  -0.04118168,  fd=  -0.03482904,  err=  -0.00635263 (at    0.80368640    0.42799900    0.18087581)
iedge=  20, ipnt=   3 (X): anal=  -0.02759142,  fd=  -0.02535740,  err=  -0.00223402 (at    0.81186232    0.42799900    0.17716485)
iedge=  20, ipnt=   3 (Z): anal=  -0.08134077,  fd=  -0.07475477,  err=  -0.00658600 (at    0.81186232    0.42799900    0.17716485)
iedge=  20, ipnt=   4 (X): anal=  -0.02824088,  fd=  -0.02948721,  err=   0.00124633 (at    0.82958735    0.42799900    0.17252781)
iedge=  20, ipnt=   4 (Z): anal=  -0.12508207,  fd=  -0.13060221,  err=   0.00552013 (at    0.82958735    0.42799900    0.17252781)
iedge=  20, ipnt=   5 (Z): anal=  -0.18259353,  fd=  -0.18185099,  err=  -0.00074254 (at    0.86519856    0.42799900    0.16636476)
iedge=  20, ipnt=   6 (Z): anal=  -0.21901759,  fd=  -0.21886149,  err=  -0.00015610 (at    0.90126729    0.42799900    0.16215114)
iedge=  26, ipnt=   5 (Z): anal=  -0.21952499,  fd=  -0.21936853,  err=  -0.00015647 (at    1.26399665    0.42799900    0.15731727)
iedge=  26, ipnt=   6 (Z): anal=  -0.18317476,  fd=  -0.18242985,  err=  -0.00074490 (at    1.30016485    0.42799900    0.16056824)
iedge=  26, ipnt=   7 (X): anal=   0.02489766,  fd=   0.02599645,  err=  -0.00109879 (at    1.33592766    0.42799900    0.16578013)
iedge=  26, ipnt=   7 (Z): anal=  -0.12579022,  fd=  -0.13134161,  err=   0.00555139 (at    1.33592766    0.42799900    0.16578013)
iedge=  26, ipnt=   8 (X): anal=   0.02541405,  fd=   0.02335633,  err=   0.00205773 (at    1.35376996    0.42799900    0.16994319)
iedge=  26, ipnt=   8 (Z): anal=  -0.08204714,  fd=  -0.07540394,  err=  -0.00664320 (at    1.35376996    0.42799900    0.16994319)
iedge=  26, ipnt=   9 (X): anal=   0.02437930,  fd=   0.02061858,  err=   0.00376072 (at    1.36204186    0.42799900    0.17343496)
iedge=  26, ipnt=   9 (Z): anal=  -0.04184620,  fd=  -0.03539106,  err=  -0.00645514 (at    1.36204186    0.42799900    0.17343496)
iedge=  26, ipnt=  10 (X): anal=   0.01549452,  fd=   0.01338973,  err=   0.00210479 (at    1.36563103    0.42799900    0.17595656)
iedge=  26, ipnt=  10 (Z): anal=  -0.01823633,  fd=  -0.01575909,  err=  -0.00247723 (at    1.36563103    0.42799900    0.17595656)
    d(Edge)/d(thick) check complete with       40 total errors (errmax=  6.6432e-03)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.2407e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[3,1]" for ibody=26
iface=   2, ipnt=  30 (Z): anal=   0.12247981,  fd=   0.12196028,  err=   0.00051953 (at    1.56605043    0.80972700    0.22325845)
iface=   2, ipnt=  31 (X): anal=   0.01358494,  fd=   0.01418729,  err=  -0.00060235 (at    1.59014917    0.80972700    0.22043661)
iface=   2, ipnt=  31 (Y): anal=  -0.01488835,  fd=  -0.01554849,  err=   0.00066014 (at    1.59014917    0.80972700    0.22043661)
iface=   2, ipnt=  31 (Z): anal=   0.08318129,  fd=   0.08686951,  err=  -0.00368822 (at    1.59014917    0.80972700    0.22043661)
iface=   2, ipnt=  32 (X): anal=   0.01386191,  fd=   0.01265158,  err=   0.00121033 (at    1.60225690    0.80972700    0.21815608)
iface=   2, ipnt=  32 (Y): anal=  -0.01328403,  fd=  -0.01212415,  err=  -0.00115987 (at    1.60225690    0.80972700    0.21815608)
iface=   2, ipnt=  32 (Z): anal=   0.05479096,  fd=   0.05000697,  err=   0.00478399 (at    1.60225690    0.80972700    0.21815608)
iface=   2, ipnt=  33 (X): anal=   0.01383459,  fd=   0.01164980,  err=   0.00218478 (at    1.60794535    0.80972700    0.21611975)
iface=   2, ipnt=  33 (Y): anal=  -0.01117592,  fd=  -0.00941100,  err=  -0.00176492 (at    1.60794535    0.80972700    0.21611975)
iface=   2, ipnt=  33 (Z): anal=   0.02727284,  fd=   0.02296586,  err=   0.00430697 (at    1.60794535    0.80972700    0.21611975)
...too many errors to list
iface=   3, ipnt=   1 (X): anal=   0.00833935,  fd=   0.00720107,  err=   0.00113827 (at    1.61045334    0.80972700    0.21456910)
iface=   3, ipnt=   1 (Y): anal=  -0.00708591,  fd=  -0.00611872,  err=  -0.00096719 (at    1.61045334    0.80972700    0.21456910)
iface=   3, ipnt=   1 (Z): anal=   0.01107856,  fd=   0.00956640,  err=   0.00151216 (at    1.61045334    0.80972700    0.21456910)
iface=   3, ipnt=   2 (X): anal=   0.01323754,  fd=   0.01114705,  err=   0.00209050 (at    1.60794535    0.80972700    0.21611975)
iface=   3, ipnt=   2 (Y): anal=  -0.01257493,  fd=  -0.01058907,  err=  -0.00198585 (at    1.60794535    0.80972700    0.21611975)
iface=   3, ipnt=   2 (Z): anal=   0.02609585,  fd=   0.02197475,  err=   0.00412110 (at    1.60794535    0.80972700    0.21611975)
iface=   3, ipnt=   3 (X): anal=   0.01337309,  fd=   0.01220544,  err=   0.00116765 (at    1.60225690    0.80972700    0.21815608)
iface=   3, ipnt=   3 (Y): anal=  -0.01670058,  fd=  -0.01524240,  err=  -0.00145818 (at    1.60225690    0.80972700    0.21815608)
iface=   3, ipnt=   3 (Z): anal=   0.05285883,  fd=   0.04824355,  err=   0.00461529 (at    1.60225690    0.80972700    0.21815608)
iface=   3, ipnt=   4 (X): anal=   0.01317532,  fd=   0.01375951,  err=  -0.00058419 (at    1.59014917    0.80972700    0.22043661)
...too many errors to list
iface=   5, ipnt=  76 (X): anal=  -0.00759015,  fd=  -0.00655414,  err=  -0.00103601 (at    1.23016955    0.80972700    0.20371432)
iface=   5, ipnt=  76 (Y): anal=   0.00821084,  fd=   0.00709011,  err=   0.00112073 (at    1.23016955    0.80972700    0.20371432)
iface=   5, ipnt=  76 (Z): anal=   0.00896888,  fd=   0.00774468,  err=   0.00122420 (at    1.23016955    0.80972700    0.20371432)
iface=   5, ipnt=  77 (X): anal=  -0.01356079,  fd=  -0.01141925,  err=  -0.00214154 (at    1.23258502    0.80972700    0.20540551)
iface=   5, ipnt=  77 (Y): anal=   0.01439610,  fd=   0.01212264,  err=   0.00227346 (at    1.23258502    0.80972700    0.20540551)
iface=   5, ipnt=  77 (Z): anal=   0.02333054,  fd=   0.01964614,  err=   0.00368440 (at    1.23258502    0.80972700    0.20540551)
iface=   5, ipnt=  78 (X): anal=  -0.01638218,  fd=  -0.01495180,  err=  -0.00143038 (at    1.23814804    0.80972700    0.20776300)
iface=   5, ipnt=  78 (Y): anal=   0.01662283,  fd=   0.01517144,  err=   0.00145140 (at    1.23814804    0.80972700    0.20776300)
iface=   5, ipnt=  78 (Z): anal=   0.05205992,  fd=   0.04751439,  err=   0.00454553 (at    1.23814804    0.80972700    0.20776300)
iface=   5, ipnt=  79 (X): anal=  -0.01806312,  fd=  -0.01886403,  err=   0.00080091 (at    1.25010598    0.80972700    0.21073046)
...too many errors to list
iface=   6, ipnt=   3 (Z): anal=   0.12336465,  fd=   0.12284136,  err=   0.00052328 (at    1.27400452    0.80972700    0.21492232)
iface=   6, ipnt=   4 (X): anal=  -0.01867567,  fd=  -0.01950374,  err=   0.00082807 (at    1.25010598    0.80972700    0.21073046)
iface=   6, ipnt=   4 (Y): anal=   0.00896802,  fd=   0.00936565,  err=  -0.00039764 (at    1.25010598    0.80972700    0.21073046)
iface=   6, ipnt=   4 (Z): anal=   0.08392505,  fd=   0.08764625,  err=  -0.00372120 (at    1.25010598    0.80972700    0.21073046)
iface=   6, ipnt=   5 (X): anal=  -0.01722091,  fd=  -0.01571729,  err=  -0.00150362 (at    1.23814804    0.80972700    0.20776300)
iface=   6, ipnt=   5 (Y): anal=   0.01140874,  fd=   0.01041261,  err=   0.00099614 (at    1.23814804    0.80972700    0.20776300)
iface=   6, ipnt=   5 (Z): anal=   0.05472528,  fd=   0.04994703,  err=   0.00477825 (at    1.23814804    0.80972700    0.20776300)
iface=   6, ipnt=   6 (X): anal=  -0.01461645,  fd=  -0.01230819,  err=  -0.00230826 (at    1.23258502    0.80972700    0.20540551)
iface=   6, ipnt=   6 (Y): anal=   0.01273891,  fd=   0.01072716,  err=   0.00201175 (at    1.23258502    0.80972700    0.20540551)
iface=   6, ipnt=   6 (Z): anal=   0.02514674,  fd=   0.02117552,  err=   0.00397122 (at    1.23258502    0.80972700    0.20540551)
...too many errors to list
iface=   8, ipnt=  30 (Z): anal=  -0.12147711,  fd=  -0.12096184,  err=  -0.00051528 (at    1.27469188    0.80972700    0.19084155)
iface=   8, ipnt=  31 (X): anal=  -0.01328868,  fd=  -0.01387790,  err=   0.00058921 (at    1.25059314    0.80972700    0.19366338)
iface=   8, ipnt=  31 (Y): anal=   0.01919286,  fd=   0.02004386,  err=  -0.00085100 (at    1.25059314    0.80972700    0.19366338)
iface=   8, ipnt=  31 (Z): anal=  -0.08136730,  fd=  -0.08497509,  err=   0.00360779 (at    1.25059314    0.80972700    0.19366338)
iface=   8, ipnt=  32 (X): anal=  -0.01326241,  fd=  -0.01210443,  err=  -0.00115799 (at    1.23848541    0.80972700    0.19594391)
iface=   8, ipnt=  32 (Y): anal=   0.01734942,  fd=   0.01583458,  err=   0.00151484 (at    1.23848541    0.80972700    0.19594391)
iface=   8, ipnt=  32 (Z): anal=  -0.05242135,  fd=  -0.04784427,  err=  -0.00457709 (at    1.23848541    0.80972700    0.19594391)
iface=   8, ipnt=  33 (X): anal=  -0.01207244,  fd=  -0.01016594,  err=  -0.00190650 (at    1.23279696    0.80972700    0.19798024)
iface=   8, ipnt=  33 (Y): anal=   0.01459244,  fd=   0.01228797,  err=   0.00230446 (at    1.23279696    0.80972700    0.19798024)
iface=   8, ipnt=  33 (Z): anal=  -0.02379902,  fd=  -0.02004063,  err=  -0.00375838 (at    1.23279696    0.80972700    0.19798024)
...too many errors to list
iface=   9, ipnt=   1 (X): anal=  -0.00642806,  fd=  -0.00555067,  err=  -0.00087739 (at    1.23028896    0.80972700    0.19953089)
iface=   9, ipnt=   1 (Y): anal=   0.00852472,  fd=   0.00736114,  err=   0.00116358 (at    1.23028896    0.80972700    0.19953089)
iface=   9, ipnt=   1 (Z): anal=  -0.00853948,  fd=  -0.00737389,  err=  -0.00116559 (at    1.23028896    0.80972700    0.19953089)
iface=   9, ipnt=   2 (X): anal=  -0.01108619,  fd=  -0.00933544,  err=  -0.00175075 (at    1.23279696    0.80972700    0.19798024)
iface=   9, ipnt=   2 (Y): anal=   0.01577871,  fd=   0.01328691,  err=   0.00249180 (at    1.23279696    0.80972700    0.19798024)
iface=   9, ipnt=   2 (Z): anal=  -0.02185479,  fd=  -0.01840344,  err=  -0.00345135 (at    1.23279696    0.80972700    0.19798024)
iface=   9, ipnt=   3 (X): anal=  -0.01239021,  fd=  -0.01130838,  err=  -0.00108183 (at    1.23848541    0.80972700    0.19594391)
iface=   9, ipnt=   3 (Y): anal=   0.02146741,  fd=   0.01959302,  err=   0.00187439 (at    1.23848541    0.80972700    0.19594391)
iface=   9, ipnt=   3 (Z): anal=  -0.04897388,  fd=  -0.04469781,  err=  -0.00427608 (at    1.23848541    0.80972700    0.19594391)
iface=   9, ipnt=   4 (X): anal=  -0.01258454,  fd=  -0.01314253,  err=   0.00055799 (at    1.25059314    0.80972700    0.19366338)
...too many errors to list
iface=  11, ipnt=  44 (X): anal=   0.01008308,  fd=   0.00870680,  err=   0.00137628 (at    1.61057276    0.80972700    0.21038567)
iface=  11, ipnt=  44 (Y): anal=  -0.00541542,  fd=  -0.00467625,  err=  -0.00073917 (at    1.61057276    0.80972700    0.21038567)
iface=  11, ipnt=  44 (Z): anal=  -0.01191464,  fd=  -0.01028836,  err=  -0.00162628 (at    1.61057276    0.80972700    0.21038567)
iface=  11, ipnt=  45 (X): anal=   0.01642702,  fd=   0.01383284,  err=   0.00259418 (at    1.60815729    0.80972700    0.20869448)
iface=  11, ipnt=  45 (Y): anal=  -0.00803770,  fd=  -0.00676837,  err=  -0.00126933 (at    1.60815729    0.80972700    0.20869448)
iface=  11, ipnt=  45 (Z): anal=  -0.02826172,  fd=  -0.02379858,  err=  -0.00446314 (at    1.60815729    0.80972700    0.20869448)
iface=  11, ipnt=  46 (X): anal=   0.01770385,  fd=   0.01615807,  err=   0.00154578 (at    1.60259426    0.80972700    0.20633699)
iface=  11, ipnt=  46 (Y): anal=  -0.00623837,  fd=  -0.00569367,  err=  -0.00054469 (at    1.60259426    0.80972700    0.20633699)
iface=  11, ipnt=  46 (Z): anal=  -0.05625998,  fd=  -0.05134773,  err=  -0.00491225 (at    1.60259426    0.80972700    0.20633699)
iface=  11, ipnt=  47 (X): anal=   0.01883477,  fd=   0.01966990,  err=  -0.00083513 (at    1.59063633    0.80972700    0.20336953)
...too many errors to list
iface=  12, ipnt=   3 (Z): anal=  -0.12266405,  fd=  -0.12214374,  err=  -0.00052031 (at    1.56673779    0.80972700    0.19917767)
iface=  12, ipnt=   4 (X): anal=   0.01887138,  fd=   0.01970813,  err=  -0.00083675 (at    1.59063633    0.80972700    0.20336953)
iface=  12, ipnt=   4 (Z): anal=  -0.08480453,  fd=  -0.08856472,  err=   0.00376019 (at    1.59063633    0.80972700    0.20336953)
iface=  12, ipnt=   5 (X): anal=   0.01787468,  fd=   0.01631398,  err=   0.00156070 (at    1.60259426    0.80972700    0.20633699)
iface=  12, ipnt=   5 (Y): anal=  -0.00232430,  fd=  -0.00212136,  err=  -0.00020294 (at    1.60259426    0.80972700    0.20633699)
iface=  12, ipnt=   5 (Z): anal=  -0.05680285,  fd=  -0.05184320,  err=  -0.00495965 (at    1.60259426    0.80972700    0.20633699)
iface=  12, ipnt=   6 (X): anal=   0.01684301,  fd=   0.01418313,  err=   0.00265988 (at    1.60815729    0.80972700    0.20869448)
iface=  12, ipnt=   6 (Y): anal=  -0.00620448,  fd=  -0.00522466,  err=  -0.00097982 (at    1.60815729    0.80972700    0.20869448)
iface=  12, ipnt=   6 (Z): anal=  -0.02897740,  fd=  -0.02440124,  err=  -0.00457616 (at    1.60815729    0.80972700    0.20869448)
iface=  12, ipnt=   7 (X): anal=   0.01040296,  fd=   0.00898302,  err=   0.00141994 (at    1.61057276    0.80972700    0.21038567)
...too many errors to list
    d(Face)/d(thick) check complete with     1795 total errors (errmax=  5.7099e-03)
iedge=   7, ipnt=   1 (X): anal=   0.01051701,  fd=   0.00908150,  err=   0.00143551 (at    1.61045334    0.80972700    0.21456910)
iedge=   7, ipnt=   1 (Z): anal=   0.01397152,  fd=   0.01206449,  err=   0.00190703 (at    1.61045334    0.80972700    0.21456910)
iedge=   7, ipnt=   2 (X): anal=   0.01568227,  fd=   0.01320570,  err=   0.00247657 (at    1.60794535    0.80972700    0.21611975)
iedge=   7, ipnt=   2 (Z): anal=   0.03091527,  fd=   0.02603307,  err=   0.00488219 (at    1.60794535    0.80972700    0.21611975)
iedge=   7, ipnt=   3 (X): anal=   0.01462772,  fd=   0.01335053,  err=   0.00127720 (at    1.60225690    0.80972700    0.21815608)
iedge=   7, ipnt=   3 (Z): anal=   0.05781792,  fd=   0.05276964,  err=   0.00504828 (at    1.60225690    0.80972700    0.21815608)
iedge=   7, ipnt=   4 (X): anal=   0.01400884,  fd=   0.01462999,  err=  -0.00062115 (at    1.59014917    0.80972700    0.22043661)
iedge=   7, ipnt=   4 (Z): anal=   0.08577688,  fd=   0.08958019,  err=  -0.00380331 (at    1.59014917    0.80972700    0.22043661)
iedge=   7, ipnt=   5 (Z): anal=   0.12413999,  fd=   0.12361341,  err=   0.00052657 (at    1.56605043    0.80972700    0.22325845)
iedge=  15, ipnt=   3 (Z): anal=   0.12338047,  fd=   0.12285712,  err=   0.00052335 (at    1.27400452    0.80972700    0.21492232)
iedge=  15, ipnt=   4 (X): anal=  -0.01887886,  fd=  -0.01971594,  err=   0.00083708 (at    1.25010598    0.80972700    0.21073046)
iedge=  15, ipnt=   4 (Z): anal=   0.08483814,  fd=   0.08859982,  err=  -0.00376169 (at    1.25010598    0.80972700    0.21073046)
iedge=  15, ipnt=   5 (X): anal=  -0.01790191,  fd=  -0.01633884,  err=  -0.00156308 (at    1.23814804    0.80972700    0.20776300)
iedge=  15, ipnt=   5 (Z): anal=   0.05688939,  fd=   0.05192219,  err=   0.00496721 (at    1.23814804    0.80972700    0.20776300)
iedge=  15, ipnt=   6 (X): anal=  -0.01742018,  fd=  -0.01466916,  err=  -0.00275103 (at    1.23258502    0.80972700    0.20540551)
iedge=  15, ipnt=   6 (Z): anal=   0.02997039,  fd=   0.02523742,  err=   0.00473298 (at    1.23258502    0.80972700    0.20540551)
iedge=  15, ipnt=   7 (X): anal=  -0.01129684,  fd=  -0.00975488,  err=  -0.00154195 (at    1.23016955    0.80972700    0.20371432)
iedge=  15, ipnt=   7 (Z): anal=   0.01334887,  fd=   0.01152683,  err=   0.00182204 (at    1.23016955    0.80972700    0.20371432)
iedge=  22, ipnt=   1 (X): anal=  -0.01051701,  fd=  -0.00908150,  err=  -0.00143551 (at    1.23028896    0.80972700    0.19953089)
iedge=  22, ipnt=   1 (Z): anal=  -0.01397152,  fd=  -0.01206449,  err=  -0.00190703 (at    1.23028896    0.80972700    0.19953089)
iedge=  22, ipnt=   2 (X): anal=  -0.01568227,  fd=  -0.01320570,  err=  -0.00247657 (at    1.23279696    0.80972700    0.19798024)
iedge=  22, ipnt=   2 (Z): anal=  -0.03091527,  fd=  -0.02603307,  err=  -0.00488219 (at    1.23279696    0.80972700    0.19798024)
iedge=  22, ipnt=   3 (X): anal=  -0.01462772,  fd=  -0.01335053,  err=  -0.00127720 (at    1.23848541    0.80972700    0.19594391)
iedge=  22, ipnt=   3 (Z): anal=  -0.05781792,  fd=  -0.05276964,  err=  -0.00504828 (at    1.23848541    0.80972700    0.19594391)
iedge=  22, ipnt=   4 (X): anal=  -0.01400884,  fd=  -0.01462999,  err=   0.00062115 (at    1.25059314    0.80972700    0.19366338)
iedge=  22, ipnt=   4 (Z): anal=  -0.08577688,  fd=  -0.08958019,  err=   0.00380331 (at    1.25059314    0.80972700    0.19366338)
iedge=  22, ipnt=   5 (Z): anal=  -0.12413999,  fd=  -0.12361341,  err=  -0.00052657 (at    1.27469188    0.80972700    0.19084155)
iedge=  27, ipnt=   3 (Z): anal=  -0.12338047,  fd=  -0.12285712,  err=  -0.00052335 (at    1.56673779    0.80972700    0.19917767)
iedge=  27, ipnt=   4 (X): anal=   0.01887886,  fd=   0.01971594,  err=  -0.00083708 (at    1.59063633    0.80972700    0.20336953)
iedge=  27, ipnt=   4 (Z): anal=  -0.08483814,  fd=  -0.08859982,  err=   0.00376168 (at    1.59063633    0.80972700    0.20336953)
iedge=  27, ipnt=   5 (X): anal=   0.01790191,  fd=   0.01633884,  err=   0.00156308 (at    1.60259426    0.80972700    0.20633699)
iedge=  27, ipnt=   5 (Z): anal=  -0.05688939,  fd=  -0.05192219,  err=  -0.00496721 (at    1.60259426    0.80972700    0.20633699)
iedge=  27, ipnt=   6 (X): anal=   0.01742018,  fd=   0.01466916,  err=   0.00275103 (at    1.60815729    0.80972700    0.20869448)
iedge=  27, ipnt=   6 (Z): anal=  -0.02997039,  fd=  -0.02523742,  err=  -0.00473298 (at    1.60815729    0.80972700    0.20869448)
iedge=  27, ipnt=   7 (X): anal=   0.01129684,  fd=   0.00975488,  err=   0.00154195 (at    1.61057276    0.80972700    0.21038567)
iedge=  27, ipnt=   7 (Z): anal=  -0.01334887,  fd=  -0.01152683,  err=  -0.00182204 (at    1.61057276    0.80972700    0.21038567)
    d(Edge)/d(thick) check complete with       36 total errors (errmax=  5.0483e-03)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.5761e-10)

*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "thick[4,1]" for ibody=26
iface=   3, ipnt=  28 (Z): anal=   0.06758076,  fd=   0.06729304,  err=   0.00028772 (at    1.80808940    1.15675300    0.27227860)
iface=   3, ipnt=  29 (X): anal=   0.00564785,  fd=   0.00589812,  err=  -0.00025027 (at    1.82159212    1.15675300    0.27122419)
iface=   3, ipnt=  29 (Y): anal=  -0.01045933,  fd=  -0.01092281,  err=   0.00046348 (at    1.82159212    1.15675300    0.27122419)
iface=   3, ipnt=  29 (Z): anal=   0.04585705,  fd=   0.04788909,  err=  -0.00203204 (at    1.82159212    1.15675300    0.27122419)
iface=   3, ipnt=  30 (X): anal=   0.00633725,  fd=   0.00577965,  err=   0.00055761 (at    1.82839793    1.15675300    0.27022622)
iface=   3, ipnt=  30 (Y): anal=  -0.00871138,  fd=  -0.00794488,  err=  -0.00076650 (at    1.82839793    1.15675300    0.27022622)
iface=   3, ipnt=  30 (Z): anal=   0.03033166,  fd=   0.02766282,  err=   0.00266883 (at    1.82839793    1.15675300    0.27022622)
iface=   3, ipnt=  31 (X): anal=   0.00692567,  fd=   0.00583044,  err=   0.00109523 (at    1.83161940    1.15675300    0.26922450)
iface=   3, ipnt=  31 (Y): anal=  -0.00682274,  fd=  -0.00574379,  err=  -0.00107895 (at    1.83161940    1.15675300    0.26922450)
iface=   3, ipnt=  31 (Z): anal=   0.01523145,  fd=   0.01282274,  err=   0.00240871 (at    1.83161940    1.15675300    0.26922450)
...too many errors to list
iface=   6, ipnt=  73 (X): anal=  -0.00467065,  fd=  -0.00403376,  err=  -0.00063689 (at    1.62109665    1.15675300    0.25452699)
iface=   6, ipnt=  73 (Y): anal=   0.00449354,  fd=   0.00388080,  err=   0.00061274 (at    1.62109665    1.15675300    0.25452699)
iface=   6, ipnt=  73 (Z): anal=   0.00518564,  fd=   0.00447853,  err=   0.00070711 (at    1.62109665    1.15675300    0.25452699)
iface=   6, ipnt=  74 (X): anal=  -0.00845670,  fd=  -0.00711936,  err=  -0.00133735 (at    1.62241534    1.15675300    0.25551254)
iface=   6, ipnt=  74 (Y): anal=   0.00751474,  fd=   0.00632636,  err=   0.00118838 (at    1.62241534    1.15675300    0.25551254)
iface=   6, ipnt=  74 (Z): anal=   0.01355931,  fd=   0.01141503,  err=   0.00214427 (at    1.62241534    1.15675300    0.25551254)
iface=   6, ipnt=  75 (X): anal=  -0.01047708,  fd=  -0.00955522,  err=  -0.00092186 (at    1.62547850    1.15675300    0.25692618)
iface=   6, ipnt=  75 (Y): anal=   0.00742267,  fd=   0.00676956,  err=   0.00065311 (at    1.62547850    1.15675300    0.25692618)
iface=   6, ipnt=  75 (Z): anal=   0.02991592,  fd=   0.02728366,  err=   0.00263225 (at    1.62547850    1.15675300    0.25692618)
iface=   6, ipnt=  76 (X): anal=  -0.01193694,  fd=  -0.01246589,  err=   0.00052896 (at    1.63209582    1.15675300    0.25880395)
...too many errors to list
iface=   9, ipnt=  28 (Z): anal=  -0.06661950,  fd=  -0.06633587,  err=  -0.00028363 (at    1.64621455    1.15675300    0.24835111)
iface=   9, ipnt=  29 (X): anal=  -0.00546365,  fd=  -0.00570576,  err=   0.00024211 (at    1.63271183    1.15675300    0.24940551)
iface=   9, ipnt=  29 (Y): anal=   0.01315988,  fd=   0.01374303,  err=  -0.00058315 (at    1.63271183    1.15675300    0.24940551)
iface=   9, ipnt=  29 (Z): anal=  -0.04436146,  fd=  -0.04632723,  err=   0.00196577 (at    1.63271183    1.15675300    0.24940551)
iface=   9, ipnt=  30 (X): anal=  -0.00597151,  fd=  -0.00544609,  err=  -0.00052542 (at    1.62590602    1.15675300    0.25040348)
iface=   9, ipnt=  30 (Y): anal=   0.01112316,  fd=   0.01014445,  err=   0.00097871 (at    1.62590602    1.15675300    0.25040348)
iface=   9, ipnt=  30 (Z): anal=  -0.02858113,  fd=  -0.02606632,  err=  -0.00251481 (at    1.62590602    1.15675300    0.25040348)
iface=   9, ipnt=  31 (X): anal=  -0.00592073,  fd=  -0.00498443,  err=  -0.00093631 (at    1.62268455    1.15675300    0.25140520)
iface=   9, ipnt=  31 (Y): anal=   0.00863272,  fd=   0.00726754,  err=   0.00136518 (at    1.62268455    1.15675300    0.25140520)
iface=   9, ipnt=  31 (Z): anal=  -0.01302132,  fd=  -0.01096213,  err=  -0.00205920 (at    1.62268455    1.15675300    0.25140520)
...too many errors to list
iface=  12, ipnt=  41 (X): anal=   0.00602325,  fd=   0.00520192,  err=   0.00082133 (at    1.83320730    1.15675300    0.26610271)
iface=  12, ipnt=  41 (Y): anal=  -0.00280172,  fd=  -0.00241967,  err=  -0.00038204 (at    1.83320730    1.15675300    0.26610271)
iface=  12, ipnt=  41 (Z): anal=  -0.00668738,  fd=  -0.00577549,  err=  -0.00091189 (at    1.83320730    1.15675300    0.26610271)
iface=  12, ipnt=  42 (X): anal=   0.00991059,  fd=   0.00834332,  err=   0.00156726 (at    1.83188861    1.15675300    0.26511716)
iface=  12, ipnt=  42 (Y): anal=  -0.00383776,  fd=  -0.00323086,  err=  -0.00060691 (at    1.83188861    1.15675300    0.26511716)
iface=  12, ipnt=  42 (Z): anal=  -0.01589044,  fd=  -0.01337752,  err=  -0.00251292 (at    1.83188861    1.15675300    0.26511716)
iface=  12, ipnt=  43 (X): anal=   0.01101130,  fd=   0.01004243,  err=   0.00096887 (at    1.82882545    1.15675300    0.26370352)
iface=  12, ipnt=  43 (Y): anal=  -0.00201564,  fd=  -0.00183829,  err=  -0.00017735 (at    1.82882545    1.15675300    0.26370352)
iface=  12, ipnt=  43 (Z): anal=  -0.03144130,  fd=  -0.02867483,  err=  -0.00276647 (at    1.82882545    1.15675300    0.26370352)
iface=  12, ipnt=  44 (X): anal=   0.01217859,  fd=   0.01271825,  err=  -0.00053966 (at    1.82220813    1.15675300    0.26182576)
...too many errors to list
    d(Face)/d(thick) check complete with      710 total errors (errmax=  3.1592e-03)
iedge=  10, ipnt=   1 (X): anal=   0.00559296,  fd=   0.00483031,  err=   0.00076265 (at    1.83305545    1.15675300    0.26841950)
iedge=  10, ipnt=   1 (Z): anal=   0.00813506,  fd=   0.00702577,  err=   0.00110930 (at    1.83305545    1.15675300    0.26841950)
iedge=  10, ipnt=   2 (X): anal=   0.00807721,  fd=   0.00679988,  err=   0.00127733 (at    1.83161940    1.15675300    0.26922450)
iedge=  10, ipnt=   2 (Z): anal=   0.01776401,  fd=   0.01495480,  err=   0.00280921 (at    1.83161940    1.15675300    0.26922450)
iedge=  10, ipnt=   3 (X): anal=   0.00683813,  fd=   0.00623645,  err=   0.00060168 (at    1.82839793    1.15675300    0.27022622)
iedge=  10, ipnt=   3 (Z): anal=   0.03272896,  fd=   0.02984919,  err=   0.00287977 (at    1.82839793    1.15675300    0.27022622)
iedge=  10, ipnt=   4 (X): anal=   0.00593728,  fd=   0.00620037,  err=  -0.00026310 (at    1.82159212    1.15675300    0.27122419)
iedge=  10, ipnt=   4 (Z): anal=   0.04820702,  fd=   0.05034319,  err=  -0.00213618 (at    1.82159212    1.15675300    0.27122419)
iedge=  10, ipnt=   5 (Z): anal=   0.06951466,  fd=   0.06921870,  err=   0.00029595 (at    1.80808940    1.15675300    0.27227860)
iedge=  17, ipnt=   4 (Z): anal=   0.06855582,  fd=   0.06826395,  err=   0.00029187 (at    1.64534540    1.15675300    0.26161179)
iedge=  17, ipnt=   5 (X): anal=  -0.01217876,  fd=  -0.01271843,  err=   0.00053967 (at    1.63209582    1.15675300    0.25880395)
iedge=  17, ipnt=   5 (Z): anal=   0.04701963,  fd=   0.04910319,  err=  -0.00208356 (at    1.63209582    1.15675300    0.25880395)
iedge=  17, ipnt=   6 (X): anal=  -0.01105161,  fd=  -0.01007920,  err=  -0.00097241 (at    1.62547850    1.15675300    0.25692618)
iedge=  17, ipnt=   6 (Z): anal=   0.03155640,  fd=   0.02877980,  err=   0.00277660 (at    1.62547850    1.15675300    0.25692618)
iedge=  17, ipnt=   7 (X): anal=  -0.01032677,  fd=  -0.00869369,  err=  -0.00163308 (at    1.62241534    1.15675300    0.25551254)
iedge=  17, ipnt=   7 (Z): anal=   0.01655775,  fd=   0.01393930,  err=   0.00261845 (at    1.62241534    1.15675300    0.25551254)
iedge=  17, ipnt=   8 (X): anal=  -0.00660695,  fd=  -0.00570603,  err=  -0.00090092 (at    1.62109665    1.15675300    0.25452699)
iedge=  17, ipnt=   8 (Z): anal=   0.00733544,  fd=   0.00633518,  err=   0.00100026 (at    1.62109665    1.15675300    0.25452699)
iedge=  24, ipnt=   1 (X): anal=  -0.00559296,  fd=  -0.00483031,  err=  -0.00076265 (at    1.62124850    1.15675300    0.25221020)
iedge=  24, ipnt=   1 (Z): anal=  -0.00813506,  fd=  -0.00702577,  err=  -0.00110930 (at    1.62124850    1.15675300    0.25221020)
iedge=  24, ipnt=   2 (X): anal=  -0.00807721,  fd=  -0.00679988,  err=  -0.00127733 (at    1.62268455    1.15675300    0.25140520)
iedge=  24, ipnt=   2 (Z): anal=  -0.01776401,  fd=  -0.01495480,  err=  -0.00280921 (at    1.62268455    1.15675300    0.25140520)
iedge=  24, ipnt=   3 (X): anal=  -0.00683813,  fd=  -0.00623645,  err=  -0.00060168 (at    1.62590602    1.15675300    0.25040348)
iedge=  24, ipnt=   3 (Z): anal=  -0.03272896,  fd=  -0.02984919,  err=  -0.00287977 (at    1.62590602    1.15675300    0.25040348)
iedge=  24, ipnt=   4 (X): anal=  -0.00593728,  fd=  -0.00620037,  err=   0.00026310 (at    1.63271183    1.15675300    0.24940551)
iedge=  24, ipnt=   4 (Z): anal=  -0.04820702,  fd=  -0.05034319,  err=   0.00213618 (at    1.63271183    1.15675300    0.24940551)
iedge=  24, ipnt=   5 (Z): anal=  -0.06951466,  fd=  -0.06921870,  err=  -0.00029595 (at    1.64621455    1.15675300    0.24835111)
iedge=  28, ipnt=   4 (Z): anal=  -0.06855582,  fd=  -0.06826395,  err=  -0.00029187 (at    1.80895855    1.15675300    0.25901791)
iedge=  28, ipnt=   5 (X): anal=   0.01217876,  fd=   0.01271843,  err=  -0.00053967 (at    1.82220813    1.15675300    0.26182576)
iedge=  28, ipnt=   5 (Z): anal=  -0.04701963,  fd=  -0.04910319,  err=   0.00208356 (at    1.82220813    1.15675300    0.26182576)
iedge=  28, ipnt=   6 (X): anal=   0.01105161,  fd=   0.01007920,  err=   0.00097241 (at    1.82882545    1.15675300    0.26370352)
iedge=  28, ipnt=   6 (Z): anal=  -0.03155640,  fd=  -0.02877980,  err=  -0.00277660 (at    1.82882545    1.15675300    0.26370352)
iedge=  28, ipnt=   7 (X): anal=   0.01032677,  fd=   0.00869369,  err=   0.00163308 (at    1.83188861    1.15675300    0.26511716)
iedge=  28, ipnt=   7 (Z): anal=  -0.01655775,  fd=  -0.01393930,  err=  -0.00261845 (at    1.83188861    1.15675300    0.26511716)
iedge=  28, ipnt=   8 (X): anal=   0.00660695,  fd=   0.00570603,  err=   0.00090092 (at    1.83320730    1.15675300    0.26610271)
iedge=  28, ipnt=   8 (Z): anal=  -0.00733544,  fd=  -0.00633518,  err=  -0.00100026 (at    1.83320730    1.15675300    0.26610271)
    d(Edge)/d(thick) check complete with       36 total errors (errmax=  2.8798e-03)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.6764e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      5.828 sec

Sensitivity checks complete with     8811 tnotal errors (max config err=  7.7165e-03) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design0w.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xle[1,1]"
*********************************************************

Generating perturbed configuration with delta-xle[1,1]=   0.90429400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17134616    0.00000000    0.14304506, dist=   0.00084732 (at    1.17054454    0.00000000    0.14277054)
iface=   1, ipnt=  17: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00090429 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  18: anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00090429 (at    0.10554237    0.00000000    0.26819237)
iface=   7, ipnt=   0: anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00090429 (at    0.10554237    0.00000000    0.26819237)
iface=   7, ipnt=  17: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62841212   -0.00000000    0.12348231, dist=   0.00011898 (at    0.62837343   -0.00000000    0.12336979)
iface=  10, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00090429 (at    0.62837343   -0.00000000    0.12336979)
iface=  10, ipnt=  17: anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17120510   -0.00000000    0.14240959, dist=   0.00075274 (at    1.17054454    0.00000000    0.14277054)
    d(Face)/d(xle) check complete with        7 total errors (errmax=  9.0429e-04)
iedge=   1, ipnt=   0: anal=   1.17129016   -0.00034273    0.14274140, ptrb=   1.17144884    0.00000000    0.14277054, dist=   0.00037880 (at    1.17054454    0.00000000    0.14277054)
iedge=   2, ipnt=  17: anal=   0.64772853    0.00000000    0.28770880, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00089674 (at    0.64771348    0.00000000    0.28759312)
iedge=   3, ipnt=   0: anal=   0.64816440   -0.00044544    0.28767072, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00064030 (at    0.64771348    0.00000000    0.28759312)
iedge=  11, ipnt=  18: anal=   0.10616746   -0.00000000    0.26777461, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00050247 (at    0.10554237    0.00000000    0.26819237)
iedge=  12, ipnt=   0: anal=   0.10579926   -0.00040063    0.26826857, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00076515 (at    0.10554237    0.00000000    0.26819237)
iedge=  18, ipnt=   0: anal=   0.10633759    0.00000000    0.26848689, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00031407 (at    0.10554237    0.00000000    0.26819237)
iedge=  19, ipnt=   0: anal=   0.62879985   -0.00045034    0.12333870, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00065737 (at    0.62837343   -0.00000000    0.12336979)
iedge=  25, ipnt=   0: anal=   0.62838338   -0.00000000    0.12346413, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00089930 (at    0.62837343   -0.00000000    0.12336979)
    d(Edge)/d(xle) check complete with        8 total errors (errmax=  8.9930e-04)
inode=   1:            anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17144884    0.00000000    0.14277054, dist=   0.00090429 (at    1.17144884    0.00000000    0.14277054)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64861777    0.00000000    0.28759312, dist=   0.00090429 (at    0.64861777    0.00000000    0.28759312)
inode=   9:            anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10644667    0.00000000    0.26819237, dist=   0.00090429 (at    0.10644667    0.00000000    0.26819237)
inode=  13:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62927773   -0.00000000    0.12336979, dist=   0.00090429 (at    0.62927773   -0.00000000    0.12336979)
    d(Node)/d(xle) check complete with        4 total errors (errmax=  9.0429e-04)

*********************************************************
Starting tessellation sensitivity wrt "xle[2,1]"
*********************************************************

Generating perturbed configuration with delta-xle[2,1]=   1.22582000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  33: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122582 (at    1.08334230    0.42799900    0.21303665)
iface=   1, ipnt=  44: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36935446    0.42765013    0.17967809, dist=   0.00090195 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=   0: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36955331    0.42799900    0.17966083, dist=   0.00098739 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=  11: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122582 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  82: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79766074    0.42753562    0.18687129, dist=   0.00066989 (at    0.79718506    0.42799900    0.18678315)
iface=   5, ipnt=  11: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00122582 (at    0.79718506    0.42799900    0.18678315)
iface=   7, ipnt=  44: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79761667    0.42750840    0.18687647, dist=   0.00066006 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=   0: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00122582 (at    0.79718506    0.42799900    0.18678315)
iface=  10, ipnt=  49: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36937426    0.42773121    0.17861019, dist=   0.00091574 (at    1.36869831    0.42799900    0.17916695)
iface=  10, ipnt=  60: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376311    0.42799544    0.15291321, dist=   0.00122204 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122582 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=  11: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36954461    0.42799900    0.17868842, dist=   0.00097222 (at    1.36869831    0.42799900    0.17916695)
    d(Face)/d(xle) check complete with       12 total errors (errmax=  1.2258e-03)
iedge=   4, ipnt=  11: anal=   1.08334287    0.42799900    0.21306312, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122553 (at    1.08334230    0.42799900    0.21303665)
iedge=   5, ipnt=   0: anal=   1.36957061    0.42744579    0.17911859, ptrb=   1.36992413    0.42799900    0.17916695, dist=   0.00065829 (at    1.36869831    0.42799900    0.17916695)
iedge=   6, ipnt=   0: anal=   1.08403242    0.42739130    0.21301673, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00081035 (at    1.08334230    0.42799900    0.21303665)
iedge=  13, ipnt=  11: anal=   0.79795527    0.42799900    0.18619077, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00074732 (at    0.79718506    0.42799900    0.18678315)
iedge=  14, ipnt=   0: anal=   0.79772449    0.42739097    0.18675961, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00091727 (at    0.79718506    0.42799900    0.18678315)
iedge=  20, ipnt=   0: anal=   0.79798661    0.42799900    0.18736631, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00072116 (at    0.79718506    0.42799900    0.18678315)
iedge=  21, ipnt=   0: anal=   1.08323017    0.42739348    0.15285692, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00081113 (at    1.08254107    0.42799900    0.15291345)
iedge=  26, ipnt=   0: anal=   1.08254111    0.42799900    0.15291964, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122580 (at    1.08254107    0.42799900    0.15291345)
    d(Edge)/d(xle) check complete with        8 total errors (errmax=  1.2258e-03)
inode=   2:            anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36992413    0.42799900    0.17916695, dist=   0.00122582 (at    1.36992413    0.42799900    0.17916695)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08456812    0.42799900    0.21303665, dist=   0.00122582 (at    1.08456812    0.42799900    0.21303665)
inode=  10:            anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79841088    0.42799900    0.18678315, dist=   0.00122582 (at    0.79841088    0.42799900    0.18678315)
inode=  14:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08376689    0.42799900    0.15291345, dist=   0.00122582 (at    1.08376689    0.42799900    0.15291345)
    d(Node)/d(xle) check complete with        4 total errors (errmax=  1.2258e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[3,1]"
*********************************************************

Generating perturbed configuration with delta-xle[3,1]=   1.51650400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  27: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135752    0.80972452    0.22554587, dist=   0.00151431 (at    1.41984321    0.80972700    0.22554595)
iface=   2, ipnt=  35: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61325788    0.80927393    0.21315117, dist=   0.00098332 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   0: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61353530    0.80972700    0.21320494, dist=   0.00111894 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   8: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151650 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  75: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22893313    0.80911894    0.20153844, dist=   0.00102729 (at    1.22810546    0.80972700    0.20156199)
iface=   6, ipnt=   8: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00151650 (at    1.22810546    0.80972700    0.20156199)
iface=   8, ipnt=  35: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22896182    0.80914426    0.20153943, dist=   0.00103607 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   0: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00151650 (at    1.22810546    0.80972700    0.20156199)
iface=  11, ipnt=  43: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61338209    0.80930396    0.21189129, dist=   0.00107359 (at    1.61263685    0.80972700    0.21253800)
iface=  11, ipnt=  51: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   8: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61365404    0.80972700    0.21192795, dist=   0.00118611 (at    1.61263685    0.80972700    0.21253800)
    d(Face)/d(xle) check complete with       12 total errors (errmax=  1.5165e-03)
iedge=   7, ipnt=   8: anal=   1.41984387    0.80972700    0.22551417, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151617 (at    1.41984321    0.80972700    0.22554595)
iedge=   8, ipnt=   0: anal=   1.61372149    0.80905097    0.21243125, ptrb=   1.61415335    0.80972700    0.21253800, dist=   0.00080927 (at    1.61263685    0.80972700    0.21253800)
iedge=   9, ipnt=   0: anal=   1.42070100    0.80898154    0.22544940, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00099947 (at    1.41984321    0.80972700    0.22554595)
iedge=  15, ipnt=   8: anal=   1.22905608    0.80972700    0.20082854, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00092637 (at    1.22810546    0.80972700    0.20156199)
iedge=  16, ipnt=   0: anal=   1.22878022    0.80898159    0.20145087, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00112983 (at    1.22810546    0.80972700    0.20156199)
iedge=  22, ipnt=   0: anal=   1.22897129    0.80972700    0.20231257, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00099335 (at    1.22810546    0.80972700    0.20156199)
iedge=  23, ipnt=   0: anal=   1.42176157    0.80898750    0.18842281, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00099592 (at    1.42089910    0.80972700    0.18855404)
iedge=  27, ipnt=   0: anal=   1.42090108    0.80972700    0.18849933, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151552 (at    1.42089910    0.80972700    0.18855404)
    d(Edge)/d(xle) check complete with        8 total errors (errmax=  1.5162e-03)
inode=   5:            anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61415335    0.80972700    0.21253800, dist=   0.00151650 (at    1.61415335    0.80972700    0.21253800)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.42135971    0.80972700    0.22554595, dist=   0.00151650 (at    1.42135971    0.80972700    0.22554595)
inode=  11:            anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22962197    0.80972700    0.20156199, dist=   0.00151650 (at    1.22962197    0.80972700    0.20156199)
inode=  15:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42241560    0.80972700    0.18855404, dist=   0.00151650 (at    1.42241560    0.80972700    0.18855404)
    d(Node)/d(xle) check complete with        4 total errors (errmax=  1.5165e-03)

*********************************************************
Starting tessellation sensitivity wrt "xle[4,1]"
*********************************************************

Generating perturbed configuration with delta-xle[4,1]=   1.78073700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  24: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00178074 (at    1.72648467    1.15675300    0.27049601)
iface=   3, ipnt=  33: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83489098    1.15626975    0.26807623, dist=   0.00104907 (at    1.83432202    1.15675300    0.26733915)
iface=   6, ipnt=  72: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.62092569    1.15601517    0.25318057, dist=   0.00120299 (at    1.61998193    1.15675300    0.25329056)
iface=   6, ipnt=  81: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72649272    1.15675300    0.27036749, dist=   0.00012876 (at    1.72648467    1.15675300    0.27049601)
iface=   9, ipnt=  24: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782051    1.15675300    0.25002942, dist=   0.00010428 (at    1.72781928    1.15675300    0.25013370)
iface=   9, ipnt=  33: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.62099429    1.15607564    0.25318959, dist=   0.00122225 (at    1.61998193    1.15675300    0.25329056)
iface=  12, ipnt=  40: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83519947    1.15631686    0.26651665, dist=   0.00127931 (at    1.83432202    1.15675300    0.26733915)
iface=  12, ipnt=  49: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00178074 (at    1.72781928    1.15675300    0.25013370)
    d(Face)/d(xle) check complete with        8 total errors (errmax=  1.7807e-03)
iedge=  10, ipnt=   9: anal=   1.72649065    1.15675300    0.27039300, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00177775 (at    1.72648467    1.15675300    0.27049601)
iedge=  17, ipnt=   9: anal=   1.62115069    1.15675300    0.25244483, ptrb=   1.62176266    1.15675300    0.25329056, dist=   0.00104392 (at    1.61998193    1.15675300    0.25329056)
iedge=  24, ipnt=   0: anal=   1.62092232    1.15675300    0.25417952, ptrb=   1.62176266    1.15675300    0.25329056, dist=   0.00122329 (at    1.61998193    1.15675300    0.25329056)
iedge=  28, ipnt=   0: anal=   1.72782874    1.15675300    0.25000429, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00177600 (at    1.72781928    1.15675300    0.25013370)
    d(Edge)/d(xle) check complete with        4 total errors (errmax=  1.7777e-03)
inode=   7:            anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83610276    1.15675300    0.26733915, dist=   0.00178074 (at    1.83610276    1.15675300    0.26733915)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72826540    1.15675300    0.27049601, dist=   0.00178074 (at    1.72826540    1.15675300    0.27049601)
inode=  12:            anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.62176266    1.15675300    0.25329056, dist=   0.00178074 (at    1.62176266    1.15675300    0.25329056)
inode=  16:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72960002    1.15675300    0.25013370, dist=   0.00178074 (at    1.72960002    1.15675300    0.25013370)
    d(Node)/d(xle) check complete with        4 total errors (errmax=  1.7807e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "yle[1,1]"
*********************************************************

Generating perturbed configuration with delta-yle[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  9.0477e-07)
    d(Node)/d(yle) check complete with        0 total errors (errmax=  1.0000e-06)

*********************************************************
Starting tessellation sensitivity wrt "yle[2,1]"
*********************************************************

Generating perturbed configuration with delta-yle[2,1]=   0.42799900
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  44: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36853056    0.42806430    0.17913614, dist=   0.00018263 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=   0: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36869831    0.42842700    0.17916695, dist=   0.00042800 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=  11: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  82: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79702489    0.42828126    0.18690789, dist=   0.00034768 (at    0.79718506    0.42799900    0.18678315)
iface=   4, ipnt=  93: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08313074    0.42821893    0.21307286, dist=   0.00030731 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  11: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42842700    0.18678315, dist=   0.00042800 (at    0.79718506    0.42799900    0.18678315)
iface=   7, ipnt=  33: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08231611    0.42821479    0.15289882, dist=   0.00031207 (at    1.08254107    0.42799900    0.15291345)
iface=   7, ipnt=  44: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79701531    0.42824911    0.18665714, dist=   0.00032748 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=   0: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42842700    0.18678315, dist=   0.00042800 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=  11: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42799900    0.15291345)
iface=  10, ipnt=  49: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36851827    0.42803772    0.17913388, dist=   0.00018711 (at    1.36869831    0.42799900    0.17916695)
iface=  11, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=  11: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36869831    0.42842700    0.17916695, dist=   0.00042800 (at    1.36869831    0.42799900    0.17916695)
    d(Face)/d(yle) check complete with       14 total errors (errmax=  4.2800e-04)
iedge=   5, ipnt=   0: anal=   1.36850516    0.42812474    0.17914053, ptrb=   1.36869831    0.42842700    0.17916695, dist=   0.00035967 (at    1.36869831    0.42799900    0.17916695)
iedge=   6, ipnt=   0: anal=   1.08313012    0.42818630    0.21302876, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00032097 (at    1.08334230    0.42799900    0.21303665)
iedge=  14, ipnt=   0: anal=   0.79697276    0.42823894    0.18677587, ptrb=   0.79718506    0.42842700    0.18678315, dist=   0.00028371 (at    0.79718506    0.42799900    0.18678315)
iedge=  21, ipnt=   0: anal=   1.08232965    0.42818848    0.15289118, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00031951 (at    1.08254107    0.42799900    0.15291345)
    d(Edge)/d(yle) check complete with        4 total errors (errmax=  3.5967e-04)
inode=   2:            anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36869831    0.42842700    0.17916695, dist=   0.00042800 (at    1.36869831    0.42842700    0.17916695)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42842700    0.21303665, dist=   0.00042800 (at    1.08334230    0.42842700    0.21303665)
inode=  10:            anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42842700    0.18678315, dist=   0.00042800 (at    0.79718506    0.42842700    0.18678315)
inode=  14:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42842700    0.15291345, dist=   0.00042800 (at    1.08254107    0.42842700    0.15291345)
    d(Node)/d(yle) check complete with        4 total errors (errmax=  4.2800e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[3,1]"
*********************************************************

Generating perturbed configuration with delta-yle[3,1]=   0.80972700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  35: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61223744    0.80991040    0.21248337, dist=   0.00044288 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   0: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61263685    0.81053673    0.21253800, dist=   0.00080973 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   8: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  75: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22779346    0.81006859    0.20181568, dist=   0.00052763 (at    1.22810546    0.80972700    0.20156199)
iface=   5, ipnt=  83: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41913093    0.80972700    0.22551948, dist=   0.00071277 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   8: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.81053673    0.20156199, dist=   0.00080973 (at    1.22810546    0.80972700    0.20156199)
iface=   8, ipnt=  27: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42018685    0.80973148    0.18847901, dist=   0.00071620 (at    1.42089910    0.80972700    0.18855404)
iface=   8, ipnt=  35: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22780788    0.81007267    0.20129078, dist=   0.00053066 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   0: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.81053673    0.20156199, dist=   0.00080973 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   8: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.80972700    0.18855404)
iface=  11, ipnt=  43: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61220903    0.80986584    0.21247948, dist=   0.00045357 (at    1.61263685    0.80972700    0.21253800)
iface=  12, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   8: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61263685    0.81053673    0.21253800, dist=   0.00080973 (at    1.61263685    0.80972700    0.21253800)
    d(Face)/d(yle) check complete with       14 total errors (errmax=  8.0973e-04)
iedge=   8, ipnt=   0: anal=   1.61227588    0.80997168    0.21244877, ptrb=   1.61263685    0.81053673    0.21253800, dist=   0.00067641 (at    1.61263685    0.80972700    0.21253800)
iedge=   9, ipnt=   0: anal=   1.41944517    0.81008627    0.22548761, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00060394 (at    1.41984321    0.80972700    0.22554595)
iedge=  16, ipnt=   0: anal=   1.22770746    0.81018427    0.20150945, ptrb=   1.22810546    0.81053673    0.20156199, dist=   0.00053422 (at    1.22810546    0.80972700    0.20156199)
iedge=  23, ipnt=   0: anal=   1.42050425    0.81009028    0.18847481, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00060125 (at    1.42089910    0.80972700    0.18855404)
    d(Edge)/d(yle) check complete with        4 total errors (errmax=  6.7641e-04)
inode=   5:            anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61263685    0.81053673    0.21253800, dist=   0.00080973 (at    1.61263685    0.81053673    0.21253800)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.81053673    0.22554595, dist=   0.00080973 (at    1.41984321    0.81053673    0.22554595)
inode=  11:            anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.81053673    0.20156199, dist=   0.00080973 (at    1.22810546    0.81053673    0.20156199)
inode=  15:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.81053673    0.18855404, dist=   0.00080973 (at    1.42089910    0.81053673    0.18855404)
    d(Node)/d(yle) check complete with        4 total errors (errmax=  8.0973e-04)

*********************************************************
Starting tessellation sensitivity wrt "yle[4,1]"
*********************************************************

Generating perturbed configuration with delta-yle[4,1]=   1.15675300
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  33: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83376859    1.15704053    0.26720234, dist=   0.00063849 (at    1.83432202    1.15675300    0.26733915)
iface=   6, ipnt=  72: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61954630    1.15718775    0.25366221, dist=   0.00071896 (at    1.61998193    1.15675300    0.25329056)
iface=   6, ipnt=  81: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72547016    1.15675781    0.27034729, dist=   0.00102536 (at    1.72648467    1.15675300    0.27049601)
iface=   9, ipnt=  24: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72681542    1.15677093    0.24993229, dist=   0.00102402 (at    1.72781928    1.15675300    0.25013370)
iface=   9, ipnt=  33: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61958451    1.15726319    0.25286602, dist=   0.00077361 (at    1.61998193    1.15675300    0.25329056)
iface=  12, ipnt=  40: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83370179    1.15693560    0.26718582, dist=   0.00066449 (at    1.83432202    1.15675300    0.26733915)
iface=  12, ipnt=  49: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782855    1.15676756    0.25000535, dist=   0.00012950 (at    1.72781928    1.15675300    0.25013370)
iface=  14, ipnt=   0: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15790975    0.27049601, dist=   0.00115675 (at    1.72648467    1.15675300    0.27049601)
iface=  14, ipnt=   9: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83432202    1.15790975    0.26733915, dist=   0.00115675 (at    1.83432202    1.15675300    0.26733915)
iface=  14, ipnt=  18: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15790975    0.25013370, dist=   0.00115675 (at    1.72781928    1.15675300    0.25013370)
iface=  14, ipnt=  27: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61998193    1.15790975    0.25329056, dist=   0.00115675 (at    1.61998193    1.15675300    0.25329056)
    d(Face)/d(yle) check complete with       11 total errors (errmax=  1.1568e-03)
    d(Edge)/d(yle) check complete with        0 total errors (errmax=  1.4757e-06)
inode=   7:            anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83432202    1.15790975    0.26733915, dist=   0.00115675 (at    1.83432202    1.15790975    0.26733915)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15790975    0.27049601, dist=   0.00115675 (at    1.72648467    1.15790975    0.27049601)
inode=  12:            anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61998193    1.15790975    0.25329056, dist=   0.00115675 (at    1.61998193    1.15790975    0.25329056)
inode=  16:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15790975    0.25013370, dist=   0.00115675 (at    1.72781928    1.15790975    0.25013370)
    d(Node)/d(yle) check complete with        4 total errors (errmax=  1.1568e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "zle[1,1]"
*********************************************************

Generating perturbed configuration with delta-zle[1,1]=   0.17412600
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17054454    0.00000000    0.14294467, dist=   0.00017413 (at    1.17054454    0.00000000    0.14277054)
iface=   1, ipnt=  17: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64773572    0.00000721    0.28776405, dist=   0.00017252 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64772521    0.00001153    0.28776524, dist=   0.00017290 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  18: anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10556069    0.00001133    0.26836434, dist=   0.00017331 (at    0.10554237    0.00000000    0.26819237)
iface=   7, ipnt=  17: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62837343   -0.00000000    0.12354392, dist=   0.00017413 (at    0.62837343   -0.00000000    0.12336979)
iface=  10, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62839822   -0.00000000    0.12354130, dist=   0.00017329 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(zle) check complete with        6 total errors (errmax=  1.7413e-04)
iedge=   2, ipnt=   0: anal=   1.17060125   -0.00000000    0.14279155, ptrb=   1.17054454    0.00000000    0.14294467, dist=   0.00016329 (at    1.17054454    0.00000000    0.14277054)
iedge=  11, ipnt=  18: anal=   0.10546193   -0.00000000    0.26824613, ptrb=   0.10554237    0.00000000    0.26836650, dist=   0.00014477 (at    0.10554237    0.00000000    0.26819237)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  1.6329e-04)
inode=   1:            anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17054454    0.00000000    0.14294467, dist=   0.00017413 (at    1.17054454    0.00000000    0.14294467)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64771348    0.00000000    0.28776725, dist=   0.00017413 (at    0.64771348    0.00000000    0.28776725)
inode=   9:            anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10554237    0.00000000    0.26836650, dist=   0.00017413 (at    0.10554237    0.00000000    0.26836650)
inode=  13:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62837343   -0.00000000    0.12354392, dist=   0.00017413 (at    0.62837343   -0.00000000    0.12354392)
    d(Node)/d(zle) check complete with        4 total errors (errmax=  1.7413e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[2,1]"
*********************************************************

Generating perturbed configuration with delta-zle[2,1]=   0.18107100
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  33: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   1, ipnt=  44: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36868939    0.42797972    0.17934637, dist=   0.00018068 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=   0: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36869831    0.42799900    0.17934802, dist=   0.00018107 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=  11: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334833    0.42799900    0.21321759, dist=   0.00018104 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  82: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42799900    0.18696422, dist=   0.00018107 (at    0.79718506    0.42799900    0.18678315)
iface=   4, ipnt=  93: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  11: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42799900    0.18696422, dist=   0.00018107 (at    0.79718506    0.42799900    0.18678315)
iface=   7, ipnt=  33: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253228    0.42799071    0.15309395, dist=   0.00018090 (at    1.08254107    0.42799900    0.15291345)
iface=   8, ipnt=   0: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79729062    0.42799900    0.18682045, dist=   0.00011195 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=  11: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42799900    0.15309452, dist=   0.00018107 (at    1.08254107    0.42799900    0.15291345)
iface=  10, ipnt=  49: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36860446    0.42799900    0.17922693, dist=   0.00011138 (at    1.36869831    0.42799900    0.17916695)
iface=  10, ipnt=  60: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254198    0.42798553    0.15309351, dist=   0.00018056 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254210    0.42799900    0.15309452, dist=   0.00018107 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=  11: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36862567    0.42804049    0.17922374, dist=   0.00010112 (at    1.36869831    0.42799900    0.17916695)
    d(Face)/d(zle) check complete with       15 total errors (errmax=  1.8107e-04)
iedge=   4, ipnt=   0: anal=   1.36878445    0.42799900    0.17922962, ptrb=   1.36869831    0.42799900    0.17934802, dist=   0.00014642 (at    1.36869831    0.42799900    0.17916695)
iedge=  13, ipnt=  11: anal=   0.79709756    0.42799900    0.18685045, ptrb=   0.79718506    0.42799900    0.18696422, dist=   0.00014353 (at    0.79718506    0.42799900    0.18678315)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  1.4642e-04)
inode=   2:            anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36869831    0.42799900    0.17934802, dist=   0.00018107 (at    1.36869831    0.42799900    0.17934802)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334230    0.42799900    0.21321772, dist=   0.00018107 (at    1.08334230    0.42799900    0.21321772)
inode=  10:            anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79718506    0.42799900    0.18696422, dist=   0.00018107 (at    0.79718506    0.42799900    0.18696422)
inode=  14:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08254107    0.42799900    0.15309452, dist=   0.00018107 (at    1.08254107    0.42799900    0.15309452)
    d(Node)/d(zle) check complete with        4 total errors (errmax=  1.8107e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[3,1]"
*********************************************************

Generating perturbed configuration with delta-zle[3,1]=   0.20979400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  27: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984047    0.80972389    0.22575565, dist=   0.00020973 (at    1.41984321    0.80972700    0.22554595)
iface=   2, ipnt=  35: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61262756    0.80971246    0.21274652, dist=   0.00020923 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   0: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61263685    0.80972700    0.21274780, dist=   0.00020979 (at    1.61263685    0.80972700    0.21253800)
iface=   3, ipnt=   8: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  75: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.80972700    0.20177178, dist=   0.00020979 (at    1.22810546    0.80972700    0.20156199)
iface=   5, ipnt=  83: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983564    0.80972669    0.22575548, dist=   0.00020966 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   8: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.80972700    0.20177178, dist=   0.00020979 (at    1.22810546    0.80972700    0.20156199)
iface=   8, ipnt=  27: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42088518    0.80971129    0.18876235, dist=   0.00020937 (at    1.42089910    0.80972700    0.18855404)
iface=   8, ipnt=  35: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22816426    0.80965857    0.20161453, dist=   0.00010440 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   0: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22823632    0.80972700    0.20162301, dist=   0.00014439 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   8: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18855404)
iface=  11, ipnt=  43: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61252273    0.80972700    0.21260194, dist=   0.00013081 (at    1.61263685    0.80972700    0.21253800)
iface=  11, ipnt=  51: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089156    0.80971408    0.18876276, dist=   0.00020926 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   8: anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61254981    0.80977175    0.21260708, dist=   0.00011979 (at    1.61263685    0.80972700    0.21253800)
    d(Face)/d(zle) check complete with       16 total errors (errmax=  2.0979e-04)
iedge=   7, ipnt=   0: anal=   1.61274068    0.80972700    0.21262802, ptrb=   1.61263685    0.80972700    0.21274780, dist=   0.00015852 (at    1.61263685    0.80972700    0.21253800)
iedge=  15, ipnt=   8: anal=   1.22800400    0.80972700    0.20164027, ptrb=   1.22810546    0.80972700    0.20177178, dist=   0.00016610 (at    1.22810546    0.80972700    0.20156199)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  1.6610e-04)
inode=   5:            anal=   1.61263685    0.80972700    0.21253800, ptrb=   1.61263685    0.80972700    0.21274780, dist=   0.00020979 (at    1.61263685    0.80972700    0.21274780)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984321    0.80972700    0.22575575, dist=   0.00020979 (at    1.41984321    0.80972700    0.22575575)
inode=  11:            anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22810546    0.80972700    0.20177178, dist=   0.00020979 (at    1.22810546    0.80972700    0.20177178)
inode=  15:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42089910    0.80972700    0.18876383, dist=   0.00020979 (at    1.42089910    0.80972700    0.18876383)
    d(Node)/d(zle) check complete with        4 total errors (errmax=  2.0979e-04)

*********************************************************
Starting tessellation sensitivity wrt "zle[4,1]"
*********************************************************

Generating perturbed configuration with delta-zle[4,1]=   0.26382700
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  24: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72646950    1.15673235    0.27075732, dist=   0.00026257 (at    1.72648467    1.15675300    0.27049601)
iface=   3, ipnt=  33: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83429651    1.15671306    0.26759664, dist=   0.00026182 (at    1.83432202    1.15675300    0.26733915)
iface=   6, ipnt=  72: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61998193    1.15675300    0.25355438, dist=   0.00026383 (at    1.61998193    1.15675300    0.25329056)
iface=   6, ipnt=  81: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72646558    1.15673582    0.27075731, dist=   0.00026256 (at    1.72648467    1.15675300    0.27049601)
iface=   9, ipnt=  24: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72779024    1.15672016    0.25039167, dist=   0.00026167 (at    1.72781928    1.15675300    0.25013370)
iface=   9, ipnt=  33: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.62005314    1.15666183    0.25336242, dist=   0.00013619 (at    1.61998193    1.15675300    0.25329056)
iface=  12, ipnt=  40: anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83418254    1.15675300    0.26741628, dist=   0.00015938 (at    1.83432202    1.15675300    0.26733915)
iface=  12, ipnt=  49: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72780036    1.15672356    0.25039280, dist=   0.00026145 (at    1.72781928    1.15675300    0.25013370)
    d(Face)/d(zle) check complete with        8 total errors (errmax=  2.6383e-04)
iedge=  10, ipnt=   0: anal=   1.83445373    1.15675300    0.26746365, ptrb=   1.83432202    1.15675300    0.26760298, dist=   0.00019172 (at    1.83432202    1.15675300    0.26733915)
iedge=  17, ipnt=   9: anal=   1.61985663    1.15675300    0.25338122, ptrb=   1.61998193    1.15675300    0.25355438, dist=   0.00021374 (at    1.61998193    1.15675300    0.25329056)
    d(Edge)/d(zle) check complete with        2 total errors (errmax=  2.1374e-04)
inode=   7:            anal=   1.83432202    1.15675300    0.26733915, ptrb=   1.83432202    1.15675300    0.26760298, dist=   0.00026383 (at    1.83432202    1.15675300    0.26760298)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72648467    1.15675300    0.27075983, dist=   0.00026383 (at    1.72648467    1.15675300    0.27075983)
inode=  12:            anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61998193    1.15675300    0.25355438, dist=   0.00026383 (at    1.61998193    1.15675300    0.25355438)
inode=  16:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72781928    1.15675300    0.25039752, dist=   0.00026383 (at    1.72781928    1.15675300    0.25039752)
    d(Node)/d(zle) check complete with        4 total errors (errmax=  2.6383e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "twist[1,1]"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00671660
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  9.4282e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.3979e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  9.4282e-05)

*********************************************************
Starting tessellation sensitivity wrt "twist[2,1]"
*********************************************************

Generating perturbed configuration with delta-twist[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  7.4818e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  5.9909e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  7.4818e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[3,1]"
*********************************************************

Generating perturbed configuration with delta-twist[3,1]=   0.00163500
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  8.2331e-06)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.3724e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  8.2331e-06)

*********************************************************
Starting tessellation sensitivity wrt "twist[4,1]"
*********************************************************

Generating perturbed configuration with delta-twist[4,1]=   0.00375000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0544e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.1198e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.0544e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "chord[1,1]"
*********************************************************

Generating perturbed configuration with delta-chord[1,1]=   0.53618100
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=   0: anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17077070    0.00000000    0.14284701, dist=   0.00023874 (at    1.17054454    0.00000000    0.14277054)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64746263    0.00000563    0.28770561, dist=   0.00027497 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=  18: anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10535075    0.00033452    0.26832113, dist=   0.00040645 (at    0.10554237    0.00000000    0.26819237)
iface=   7, ipnt=   0: anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10532611    0.00033451    0.26811165, dist=   0.00040643 (at    0.10554237    0.00000000    0.26819237)
iface=   7, ipnt=  17: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62811544    0.00001689    0.12332020, dist=   0.00026326 (at    0.62837343   -0.00000000    0.12336979)
iface=  10, ipnt=  17: anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17075586   -0.00000000    0.14265718, dist=   0.00023980 (at    1.17054454    0.00000000    0.14277054)
    d(Face)/d(chord) check complete with        6 total errors (errmax=  4.0645e-04)
iedge=   1, ipnt=   0: anal=   1.17076509   -0.00009873    0.14273079, ptrb=   1.17081079    0.00000000    0.14273919, dist=   0.00010912 (at    1.17054454    0.00000000    0.14277054)
iedge=  11, ipnt=   0: anal=   0.64772249    0.00000000    0.28767858, ptrb=   0.64745690    0.00000000    0.28770659, dist=   0.00026707 (at    0.64771348    0.00000000    0.28759312)
iedge=  18, ipnt=  17: anal=   0.62836235   -0.00000000    0.12328458, ptrb=   0.62809751   -0.00000000    0.12331903, dist=   0.00026707 (at    0.62837343   -0.00000000    0.12336979)
    d(Edge)/d(chord) check complete with        3 total errors (errmax=  2.6707e-04)
inode=   1:            anal=   1.17054454    0.00000000    0.14277054, ptrb=   1.17081079    0.00000000    0.14273919, dist=   0.00026809 (at    1.17081079    0.00000000    0.14273919)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64745690    0.00000000    0.28770659, dist=   0.00028055 (at    0.64745690    0.00000000    0.28770659)
inode=   9:            anal=   0.10554237    0.00000000    0.26819237, ptrb=   0.10474362    0.00000000    0.26828644, dist=   0.00080427 (at    0.10474362    0.00000000    0.26828644)
inode=  13:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62809751   -0.00000000    0.12331903, dist=   0.00028055 (at    0.62809751   -0.00000000    0.12331903)
    d(Node)/d(chord) check complete with        4 total errors (errmax=  8.0427e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[2,1]"
*********************************************************

Generating perturbed configuration with delta-chord[2,1]=   0.28578200
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  44: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36877641    0.42795795    0.17922422, dist=   0.00010518 (at    1.36869831    0.42799900    0.17916695)
iface=   2, ipnt=   0: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36879935    0.42799900    0.17922234, dist=   0.00011523 (at    1.36869831    0.42799900    0.17916695)
iface=   4, ipnt=  82: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79683180    0.42799900    0.18688626, dist=   0.00036800 (at    0.79718506    0.42799900    0.18678315)
iface=   4, ipnt=  93: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=  11: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79703113    0.42816828    0.18690316, dist=   0.00025836 (at    0.79718506    0.42799900    0.18678315)
iface=   7, ipnt=  33: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014602 (at    1.08254107    0.42799900    0.15291345)
iface=   7, ipnt=  44: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79679865    0.42799900    0.18673104, dist=   0.00038991 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=   0: anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79703786    0.42816953    0.18667441, dist=   0.00025014 (at    0.79718506    0.42799900    0.18678315)
iface=   8, ipnt=  11: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08240086    0.42800246    0.15288562, dist=   0.00014299 (at    1.08254107    0.42799900    0.15291345)
iface=  10, ipnt=  49: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36878050    0.42796633    0.17910326, dist=   0.00010899 (at    1.36869831    0.42799900    0.17916695)
iface=  11, ipnt=  11: anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36880072    0.42799900    0.17911260, dist=   0.00011593 (at    1.36869831    0.42799900    0.17916695)
    d(Face)/d(chord) check complete with       12 total errors (errmax=  3.8991e-04)
iedge=   3, ipnt=  16: anal=   1.08327400    0.42807188    0.21305592, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00010476 (at    1.08334230    0.42799900    0.21303665)
iedge=  12, ipnt=  64: anal=   0.79706378    0.42818920    0.18675269, ptrb=   0.79675642    0.42799900    0.18678886, dist=   0.00036325 (at    0.79718506    0.42799900    0.18678315)
iedge=  13, ipnt=   0: anal=   1.08334246    0.42799900    0.21306789, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014264 (at    1.08334230    0.42799900    0.21303665)
iedge=  19, ipnt=  16: anal=   1.08247448    0.42807127    0.15289028, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00010549 (at    1.08254107    0.42799900    0.15291345)
iedge=  20, ipnt=  11: anal=   1.08254040    0.42799900    0.15288221, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014264 (at    1.08254107    0.42799900    0.15291345)
    d(Edge)/d(chord) check complete with        5 total errors (errmax=  3.6325e-04)
inode=   2:            anal=   1.36869831    0.42799900    0.17916695, ptrb=   1.36884119    0.42799900    0.17916505, dist=   0.00014289 (at    1.36884119    0.42799900    0.17916505)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08319982    0.42799900    0.21306861, dist=   0.00014602 (at    1.08319982    0.42799900    0.21306861)
inode=  10:            anal=   0.79718506    0.42799900    0.18678315, ptrb=   0.79675642    0.42799900    0.18678886, dist=   0.00042867 (at    0.79675642    0.42799900    0.18678886)
inode=  14:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08239780    0.42799900    0.15288530, dist=   0.00014602 (at    1.08239780    0.42799900    0.15288530)
    d(Node)/d(chord) check complete with        4 total errors (errmax=  4.2867e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[3,1]"
*********************************************************

Generating perturbed configuration with delta-chord[3,1]=   0.19234400
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   5, ipnt=  75: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22788135    0.80972700    0.20163642, dist=   0.00023615 (at    1.22810546    0.80972700    0.20156199)
iface=   6, ipnt=   8: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22799848    0.80983541    0.20164572, dist=   0.00017381 (at    1.22810546    0.80972700    0.20156199)
iface=   8, ipnt=  35: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22788664    0.80972700    0.20147412, dist=   0.00023581 (at    1.22810546    0.80972700    0.20156199)
iface=   9, ipnt=   0: anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22801750    0.80983796    0.20148445, dist=   0.00016144 (at    1.22810546    0.80972700    0.20156199)
    d(Face)/d(chord) check complete with        4 total errors (errmax=  2.3615e-04)
iedge=  14, ipnt=  64: anal=   1.22797871    0.80987019    0.20155930, ptrb=   1.22781706    0.80972700    0.20155375, dist=   0.00021602 (at    1.22810546    0.80972700    0.20156199)
    d(Edge)/d(chord) check complete with        1 total errors (errmax=  2.1602e-04)
inode=  11:            anal=   1.22810546    0.80972700    0.20156199, ptrb=   1.22781706    0.80972700    0.20155375, dist=   0.00028852 (at    1.22781706    0.80972700    0.20155375)
    d(Node)/d(chord) check complete with        1 total errors (errmax=  2.8852e-04)

*********************************************************
Starting tessellation sensitivity wrt "chord[4,1]"
*********************************************************

Generating perturbed configuration with delta-chord[4,1]=   0.10740000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   6, ipnt=  72: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61985417    1.15675300    0.25332528, dist=   0.00013239 (at    1.61998193    1.15675300    0.25329056)
iface=   9, ipnt=  33: anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61986425    1.15675300    0.25323482, dist=   0.00013021 (at    1.61998193    1.15675300    0.25329056)
    d(Face)/d(chord) check complete with        2 total errors (errmax=  1.3239e-04)
iedge=  16, ipnt=  64: anal=   1.61991117    1.15683270    0.25329190, ptrb=   1.61982117    1.15675300    0.25328002, dist=   0.00012080 (at    1.61998193    1.15675300    0.25329056)
    d(Edge)/d(chord) check complete with        1 total errors (errmax=  1.2080e-04)
inode=  12:            anal=   1.61998193    1.15675300    0.25329056, ptrb=   1.61982117    1.15675300    0.25328002, dist=   0.00016110 (at    1.61982117    1.15675300    0.25328002)
    d(Node)/d(chord) check complete with        1 total errors (errmax=  1.6110e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "thick[1,1]"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  17: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64779940    0.00002281    0.28812162, dist=   0.00053592 (at    0.64771348    0.00000000    0.28759312)
iface=   4, ipnt=   0: anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64776942    0.00003619    0.28812387, dist=   0.00053491 (at    0.64771348    0.00000000    0.28759312)
iface=   7, ipnt=  17: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62830708    0.00010624    0.12285990, dist=   0.00052505 (at    0.62837343   -0.00000000    0.12336979)
iface=  10, ipnt=   0: anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62841048    0.00009399    0.12284389, dist=   0.00053551 (at    0.62837343   -0.00000000    0.12336979)
    d(Face)/d(thick) check complete with        4 total errors (errmax=  5.3592e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  7.8349e-06)
inode=   3:            anal=   0.64771348    0.00000000    0.28759312, ptrb=   0.64777619    0.00000000    0.28812563, dist=   0.00053618 (at    0.64777619    0.00000000    0.28812563)
inode=  13:            anal=   0.62837343   -0.00000000    0.12336979, ptrb=   0.62831072   -0.00000000    0.12283729, dist=   0.00053618 (at    0.62831072   -0.00000000    0.12283729)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  5.3618e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[2,1]"
*********************************************************

Generating perturbed configuration with delta-thick[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   1, ipnt=  33: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   2, ipnt=  11: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334991    0.42799900    0.21332232, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   4, ipnt=  93: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334298    0.42799900    0.21332242, dist=   0.00028577 (at    1.08334230    0.42799900    0.21303665)
iface=   5, ipnt=   0: anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334230    0.42799900    0.21303665)
iface=   7, ipnt=  33: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253354    0.42799900    0.15262778, dist=   0.00028578 (at    1.08254107    0.42799900    0.15291345)
iface=   8, ipnt=  11: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253496    0.42803097    0.15263137, dist=   0.00028396 (at    1.08254107    0.42799900    0.15291345)
iface=  10, ipnt=  60: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253727    0.42799900    0.15262770, dist=   0.00028578 (at    1.08254107    0.42799900    0.15291345)
iface=  11, ipnt=   0: anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08256198    0.42802688    0.15263032, dist=   0.00028527 (at    1.08254107    0.42799900    0.15291345)
    d(Face)/d(thick) check complete with        8 total errors (errmax=  2.8578e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  3.1933e-05)
inode=   4:            anal=   1.08334230    0.42799900    0.21303665, ptrb=   1.08334611    0.42799900    0.21332240, dist=   0.00028578 (at    1.08334611    0.42799900    0.21332240)
inode=  14:            anal=   1.08254107    0.42799900    0.15291345, ptrb=   1.08253727    0.42799900    0.15262770, dist=   0.00028578 (at    1.08253727    0.42799900    0.15262770)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  2.8578e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[3,1]"
*********************************************************

Generating perturbed configuration with delta-thick[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   2, ipnt=  27: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983919    0.80972414    0.22573821, dist=   0.00019232 (at    1.41984321    0.80972700    0.22554595)
iface=   3, ipnt=   8: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41984023    0.80972700    0.22573827, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   5, ipnt=  83: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983625    0.80972674    0.22573817, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   6, ipnt=   0: anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972700    0.22573822, dist=   0.00019234 (at    1.41984321    0.80972700    0.22554595)
iface=   8, ipnt=  27: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090283    0.80972700    0.18836173, dist=   0.00019234 (at    1.42089910    0.80972700    0.18855404)
iface=   9, ipnt=   8: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090302    0.80975691    0.18836651, dist=   0.00018994 (at    1.42089910    0.80972700    0.18855404)
iface=  11, ipnt=  51: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090459    0.80972700    0.18836177, dist=   0.00019234 (at    1.42089910    0.80972700    0.18855404)
iface=  12, ipnt=   0: anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42092889    0.80975447    0.18836666, dist=   0.00019171 (at    1.42089910    0.80972700    0.18855404)
    d(Face)/d(thick) check complete with        8 total errors (errmax=  1.9234e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.4958e-05)
inode=   6:            anal=   1.41984321    0.80972700    0.22554595, ptrb=   1.41983772    0.80972700    0.22573822, dist=   0.00019234 (at    1.41983772    0.80972700    0.22573822)
inode=  15:            anal=   1.42089910    0.80972700    0.18855404, ptrb=   1.42090459    0.80972700    0.18836177, dist=   0.00019234 (at    1.42090459    0.80972700    0.18836177)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  1.9234e-04)

*********************************************************
Starting tessellation sensitivity wrt "thick[4,1]"
*********************************************************

Generating perturbed configuration with delta-thick[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
iface=   3, ipnt=  24: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647849    1.15674462    0.27060257, dist=   0.00010707 (at    1.72648467    1.15675300    0.27049601)
iface=   6, ipnt=  81: anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647150    1.15674604    0.27060227, dist=   0.00010731 (at    1.72648467    1.15675300    0.27049601)
iface=   9, ipnt=  24: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782473    1.15675300    0.25002644, dist=   0.00010740 (at    1.72781928    1.15675300    0.25013370)
iface=  12, ipnt=  49: anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782631    1.15675300    0.25002653, dist=   0.00010740 (at    1.72781928    1.15675300    0.25013370)
    d(Face)/d(thick) check complete with        4 total errors (errmax=  1.0740e-04)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  9.5080e-06)
inode=   8:            anal=   1.72648467    1.15675300    0.27049601, ptrb=   1.72647764    1.15675300    0.27060318, dist=   0.00010740 (at    1.72647764    1.15675300    0.27060318)
inode=  16:            anal=   1.72781928    1.15675300    0.25013370, ptrb=   1.72782631    1.15675300    0.25002653, dist=   0.00010740 (at    1.72782631    1.15675300    0.25002653)
    d(Node)/d(thick) check complete with        2 total errors (errmax=  1.0740e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      6.215 sec

Sensitivity checks complete with      287 total errors (max tessel err=  1.7807e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "L1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "L1" for ibody=5
    d(Face)/d(L1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(L1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(L1) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "H1" for ibody=5
    d(Face)/d(H1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(H1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(H1) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "D1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "D1" for ibody=5
    d(Face)/d(D1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(D1) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(D1) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "L2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "L2" for ibody=5
    d(Face)/d(L2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(L2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(L2) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "H2" for ibody=5
    d(Face)/d(H2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(H2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(H2) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "D2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "D2" for ibody=5
    d(Face)/d(D2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(D2) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(D2) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dx" for ibody=5
    d(Face)/d(dx) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dy" for ibody=5
    d(Face)/d(dy) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dz" for ibody=5
    d(Face)/d(dz) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "sfac"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "sfac" for ibody=5
    d(Face)/d(sfac) check complete with        0 total errors (errmax=  4.1933e-10)
    d(Edge)/d(sfac) check complete with        0 total errors (errmax=  4.1933e-10)
    d(Node)/d(sfac) check complete with        0 total errors (errmax=  4.1933e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.053 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.1933e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "L1"
*********************************************************

Generating perturbed configuration with delta-L1[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(L1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(L1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(L1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "H1"
*********************************************************

Generating perturbed configuration with delta-H1[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(H1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(H1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(H1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "D1"
*********************************************************

Generating perturbed configuration with delta-D1[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(D1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(D1) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(D1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "L2"
*********************************************************

Generating perturbed configuration with delta-L2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(L2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(L2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(L2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "H2"
*********************************************************

Generating perturbed configuration with delta-H2[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(H2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(H2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(H2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "D2"
*********************************************************

Generating perturbed configuration with delta-D2[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(D2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(D2) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(D2) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "sfac"
*********************************************************

Generating perturbed configuration with delta-sfac[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(sfac) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(sfac) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Node)/d(sfac) check complete with        0 total errors (errmax=  1.2561e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.045 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.2561e-15) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Length" for ibody=13
    d(Face)/d(Length) check complete with        0 total errors (errmax=  1.6866e-09)
    d(Edge)/d(Length) check complete with        0 total errors (errmax=  1.4050e-09)
    d(Node)/d(Length) check complete with        0 total errors (errmax=  1.2929e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Height" for ibody=13
    d(Face)/d(Height) check complete with        0 total errors (errmax=  1.4157e-09)
    d(Edge)/d(Height) check complete with        0 total errors (errmax=  1.2721e-09)
    d(Node)/d(Height) check complete with        0 total errors (errmax=  9.4678e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Depth" for ibody=13
    d(Face)/d(Depth) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Depth) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Node)/d(Depth) check complete with        0 total errors (errmax=  3.9677e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Rhole" for ibody=13
    d(Face)/d(Rhole) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Rhole) check complete with        0 total errors (errmax=  7.4041e-10)
    d(Node)/d(Rhole) check complete with        0 total errors (errmax=  7.4041e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Nhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Nhole" for ibody=13
    d(Face)/d(Nhole) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Nhole) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Nhole) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Xpole" for ibody=13
    d(Face)/d(Xpole) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Xpole) check complete with        0 total errors (errmax=  5.9185e-10)
    d(Node)/d(Xpole) check complete with        0 total errors (errmax=  7.4041e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Ypole" for ibody=13
    d(Face)/d(Ypole) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Ypole) check complete with        0 total errors (errmax=  3.2688e-10)
    d(Node)/d(Ypole) check complete with        0 total errors (errmax=  3.2688e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Rpole" for ibody=13
    d(Face)/d(Rpole) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Rpole) check complete with        0 total errors (errmax=  2.9012e-10)
    d(Node)/d(Rpole) check complete with        0 total errors (errmax=  2.0967e-10)
 

*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "XangDeg" for ibody=13
    d(Face)/d(XangDeg) check complete with        0 total errors (errmax=  1.2203e-09)
    d(Edge)/d(XangDeg) check complete with        0 total errors (errmax=  1.4837e-09)
    d(Node)/d(XangDeg) check complete with        0 total errors (errmax=  1.2137e-09)
 

*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "YangDeg" for ibody=13
    d(Face)/d(YangDeg) check complete with        0 total errors (errmax=  2.2140e-09)
    d(Edge)/d(YangDeg) check complete with        0 total errors (errmax=  2.2140e-09)
    d(Node)/d(YangDeg) check complete with        0 total errors (errmax=  2.1144e-09)
 

*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "ZangDeg" for ibody=13
    d(Face)/d(ZangDeg) check complete with        0 total errors (errmax=  2.5648e-09)
    d(Edge)/d(ZangDeg) check complete with        0 total errors (errmax=  2.1524e-09)
    d(Node)/d(ZangDeg) check complete with        0 total errors (errmax=  2.1524e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dx" for ibody=13
    d(Face)/d(Dx) check complete with        0 total errors (errmax=  1.2265e-09)
    d(Edge)/d(Dx) check complete with        0 total errors (errmax=  1.1226e-09)
    d(Node)/d(Dx) check complete with        0 total errors (errmax=  1.1226e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dy" for ibody=13
    d(Face)/d(Dy) check complete with        0 total errors (errmax=  5.6463e-10)
    d(Edge)/d(Dy) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(Dy) check complete with        0 total errors (errmax=  2.3442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dz" for ibody=13
    d(Face)/d(Dz) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Dz) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(Dz) check complete with        0 total errors (errmax=  2.3442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Scale" for ibody=13
    d(Face)/d(Scale) check complete with        0 total errors (errmax=  1.0639e-09)
    d(Edge)/d(Scale) check complete with        0 total errors (errmax=  1.1430e-09)
    d(Node)/d(Scale) check complete with        0 total errors (errmax=  1.1430e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Dist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dist" for ibody=13
    d(Face)/d(Dist) check complete with        0 total errors (errmax=  8.7580e-10)
    d(Edge)/d(Dist) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(Dist) check complete with        0 total errors (errmax=  2.7956e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.164 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.5648e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Length"
*********************************************************

Generating perturbed configuration with delta-Length[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Length) check complete with        0 total errors (errmax=  2.2204e-15)
    d(Edge)/d(Length) check complete with        0 total errors (errmax=  2.2204e-15)
    d(Node)/d(Length) check complete with        0 total errors (errmax=  1.9860e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "Height"
*********************************************************

Generating perturbed configuration with delta-Height[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Height) check complete with        0 total errors (errmax=  7.5000e-08)
    d(Edge)/d(Height) check complete with        0 total errors (errmax=  7.5000e-08)
    d(Node)/d(Height) check complete with        0 total errors (errmax=  1.7902e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "Depth"
*********************************************************

Generating perturbed configuration with delta-Depth[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Depth) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Depth) check complete with        0 total errors (errmax=  1.0175e-15)
    d(Node)/d(Depth) check complete with        0 total errors (errmax=  4.4409e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Rhole"
*********************************************************

Generating perturbed configuration with delta-Rhole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Rhole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Rhole) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Rhole) check complete with        0 total errors (errmax=  6.2804e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Nhole"
*********************************************************

Generating perturbed configuration with delta-Nhole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Nhole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Nhole) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Nhole) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Xpole"
*********************************************************

Generating perturbed configuration with delta-Xpole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Xpole) check complete with        0 total errors (errmax=  1.4218e-15)
    d(Edge)/d(Xpole) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(Xpole) check complete with        0 total errors (errmax=  1.1102e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "Ypole"
*********************************************************

Generating perturbed configuration with delta-Ypole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Ypole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Ypole) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Ypole) check complete with        0 total errors (errmax=  5.5511e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Rpole"
*********************************************************

Generating perturbed configuration with delta-Rpole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Rpole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Rpole) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Rpole) check complete with        0 total errors (errmax=  5.5511e-17)
 

*********************************************************
Starting tessellation sensitivity wrt "XangDeg"
*********************************************************

Generating perturbed configuration with delta-XangDeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
    d(Edge)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
    d(Node)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
 

*********************************************************
Starting tessellation sensitivity wrt "YangDeg"
*********************************************************

Generating perturbed configuration with delta-YangDeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
    d(Edge)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
    d(Node)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "ZangDeg"
*********************************************************

Generating perturbed configuration with delta-ZangDeg[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(ZangDeg) check complete with        0 total errors (errmax=  8.2254e-07)
    d(Edge)/d(ZangDeg) check complete with        0 total errors (errmax=  8.4778e-07)
    d(Node)/d(ZangDeg) check complete with        0 total errors (errmax=  8.4778e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "Dx"
*********************************************************

Generating perturbed configuration with delta-Dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dx) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Edge)/d(Dx) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Dx) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Dy"
*********************************************************

Generating perturbed configuration with delta-Dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dy) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Edge)/d(Dy) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Node)/d(Dy) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Dz"
*********************************************************

Generating perturbed configuration with delta-Dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dz) check complete with        0 total errors (errmax=  1.2610e-15)
    d(Edge)/d(Dz) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Dz) check complete with        0 total errors (errmax=  5.5511e-17)
 

*********************************************************
Starting tessellation sensitivity wrt "Scale"
*********************************************************

Generating perturbed configuration with delta-Scale[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Scale) check complete with        0 total errors (errmax=  1.6050e-15)
    d(Edge)/d(Scale) check complete with        0 total errors (errmax=  1.4087e-15)
    d(Node)/d(Scale) check complete with        0 total errors (errmax=  6.3777e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Dist"
*********************************************************

Generating perturbed configuration with delta-Dist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dist) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Dist) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Dist) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.743 sec

Sensitivity checks complete with        0 total errors (max tessel err=  8.4778e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "BoxFil"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Wslot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Dslot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Nhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Fhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Fpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "array[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "array[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "array[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting configuration sensitivity wrt "array[2,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     10.042 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Length"
*********************************************************

Generating perturbed configuration with delta-Length[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Height"
*********************************************************

Generating perturbed configuration with delta-Height[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Depth"
*********************************************************

Generating perturbed configuration with delta-Depth[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "BoxFil"
*********************************************************

Generating perturbed configuration with delta-BoxFil[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Wslot"
*********************************************************

Generating perturbed configuration with delta-Wslot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Dslot"
*********************************************************

Generating perturbed configuration with delta-Dslot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rhole"
*********************************************************

Generating perturbed configuration with delta-Rhole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Nhole"
*********************************************************

Generating perturbed configuration with delta-Nhole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Fhole"
*********************************************************

Generating perturbed configuration with delta-Fhole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Xpole"
*********************************************************

Generating perturbed configuration with delta-Xpole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Ypole"
*********************************************************

Generating perturbed configuration with delta-Ypole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rpole"
*********************************************************

Generating perturbed configuration with delta-Rpole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Fpole"
*********************************************************

Generating perturbed configuration with delta-Fpole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "XangDeg"
*********************************************************

Generating perturbed configuration with delta-XangDeg[1,1]=   0.05000000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "YangDeg"
*********************************************************

Generating perturbed configuration with delta-YangDeg[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ZangDeg"
*********************************************************

Generating perturbed configuration with delta-ZangDeg[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Dx"
*********************************************************

Generating perturbed configuration with delta-Dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Dy"
*********************************************************

Generating perturbed configuration with delta-Dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Dz"
*********************************************************

Generating perturbed configuration with delta-Dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Scale"
*********************************************************

Generating perturbed configuration with delta-Scale[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "array[1,1]"
*********************************************************

Generating perturbed configuration with delta-array[1,1]=   0.01100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "array[1,2]"
*********************************************************

Generating perturbed configuration with delta-array[1,2]=   0.01200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "array[2,1]"
*********************************************************

Generating perturbed configuration with delta-array[2,1]=   0.02100000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "array[2,2]"
*********************************************************

Generating perturbed configuration with delta-array[2,2]=   0.02200000
Computing analytic sensitivities (if possible) for ibody=18

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      9.964 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rcone"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rsphere"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rmajor"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "Rminor"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.065 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Xbase"
*********************************************************

Generating perturbed configuration with delta-Xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Ybase"
*********************************************************

Generating perturbed configuration with delta-Ybase[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Zbase"
*********************************************************

Generating perturbed configuration with delta-Zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Xvrtx"
*********************************************************

Generating perturbed configuration with delta-Xvrtx[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Yvrtx"
*********************************************************

Generating perturbed configuration with delta-Yvrtx[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Zvrtx"
*********************************************************

Generating perturbed configuration with delta-Zvrtx[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rcone"
*********************************************************

Generating perturbed configuration with delta-Rcone[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rsphere"
*********************************************************

Generating perturbed configuration with delta-Rsphere[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rmajor"
*********************************************************

Generating perturbed configuration with delta-Rmajor[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rminor"
*********************************************************

Generating perturbed configuration with delta-Rminor[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.914 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Length" for ibody=13
    d(Face)/d(Length) check complete with        0 total errors (errmax=  1.2123e-09)
    d(Edge)/d(Length) check complete with        0 total errors (errmax=  1.2123e-09)
    d(Node)/d(Length) check complete with        0 total errors (errmax=  1.0359e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Height" for ibody=13
    d(Face)/d(Height) check complete with        0 total errors (errmax=  1.3778e-09)
    d(Edge)/d(Height) check complete with        0 total errors (errmax=  1.1975e-09)
    d(Node)/d(Height) check complete with        0 total errors (errmax=  9.4678e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Depth" for ibody=13
    d(Face)/d(Depth) check complete with        0 total errors (errmax=  7.6228e-10)
    d(Edge)/d(Depth) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(Depth) check complete with        0 total errors (errmax=  2.0967e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Rhole" for ibody=13
    d(Face)/d(Rhole) check complete with        0 total errors (errmax=  8.5041e-10)
    d(Edge)/d(Rhole) check complete with        0 total errors (errmax=  7.4042e-10)
    d(Node)/d(Rhole) check complete with        0 total errors (errmax=  7.4042e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Nhole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Nhole" for ibody=13
    d(Face)/d(Nhole) check complete with        0 total errors (errmax=  4.1314e-07)
    d(Edge)/d(Nhole) check complete with        0 total errors (errmax=  4.1301e-07)
    d(Node)/d(Nhole) check complete with        0 total errors (errmax=  3.8600e-07)
 

*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Xpole" for ibody=13
    d(Face)/d(Xpole) check complete with        0 total errors (errmax=  8.8235e-10)
    d(Edge)/d(Xpole) check complete with        0 total errors (errmax=  9.1473e-10)
    d(Node)/d(Xpole) check complete with        0 total errors (errmax=  7.4041e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Ypole" for ibody=13
    d(Face)/d(Ypole) check complete with        0 total errors (errmax=  6.9685e-10)
    d(Edge)/d(Ypole) check complete with        0 total errors (errmax=  6.7692e-10)
    d(Node)/d(Ypole) check complete with        0 total errors (errmax=  3.2688e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Rpole" for ibody=13
    d(Face)/d(Rpole) check complete with        0 total errors (errmax=  8.1974e-10)
    d(Edge)/d(Rpole) check complete with        0 total errors (errmax=  7.9523e-10)
    d(Node)/d(Rpole) check complete with        0 total errors (errmax=  2.0967e-10)
 

*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "XangDeg" for ibody=13
    d(Face)/d(XangDeg) check complete with        0 total errors (errmax=  1.4844e-09)
    d(Edge)/d(XangDeg) check complete with        0 total errors (errmax=  1.7788e-09)
    d(Node)/d(XangDeg) check complete with        0 total errors (errmax=  1.2137e-09)
 

*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "YangDeg" for ibody=13
    d(Face)/d(YangDeg) check complete with        0 total errors (errmax=  2.2140e-09)
    d(Edge)/d(YangDeg) check complete with        0 total errors (errmax=  2.2140e-09)
    d(Node)/d(YangDeg) check complete with        0 total errors (errmax=  2.1144e-09)
 

*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "ZangDeg" for ibody=13
    d(Face)/d(ZangDeg) check complete with        0 total errors (errmax=  2.4663e-09)
    d(Edge)/d(ZangDeg) check complete with        0 total errors (errmax=  2.1524e-09)
    d(Node)/d(ZangDeg) check complete with        0 total errors (errmax=  2.1524e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dx" for ibody=13
    d(Face)/d(Dx) check complete with        0 total errors (errmax=  1.2403e-09)
    d(Edge)/d(Dx) check complete with        0 total errors (errmax=  1.2403e-09)
    d(Node)/d(Dx) check complete with        0 total errors (errmax=  1.1226e-09)
 

*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dy" for ibody=13
    d(Face)/d(Dy) check complete with        0 total errors (errmax=  8.4195e-10)
    d(Edge)/d(Dy) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(Dy) check complete with        0 total errors (errmax=  2.3442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Dz" for ibody=13
    d(Face)/d(Dz) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Edge)/d(Dz) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(Dz) check complete with        0 total errors (errmax=  2.3442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "Scale" for ibody=13
    d(Face)/d(Scale) check complete with        0 total errors (errmax=  1.1893e-09)
    d(Edge)/d(Scale) check complete with        0 total errors (errmax=  1.1712e-09)
    d(Node)/d(Scale) check complete with        0 total errors (errmax=  1.0032e-09)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.143 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.1314e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Length"
*********************************************************

Generating perturbed configuration with delta-Length[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Length) check complete with        0 total errors (errmax=  1.9860e-15)
    d(Edge)/d(Length) check complete with        0 total errors (errmax=  1.9860e-15)
    d(Node)/d(Length) check complete with        0 total errors (errmax=  1.2561e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "Height"
*********************************************************

Generating perturbed configuration with delta-Height[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Height) check complete with        0 total errors (errmax=  2.5121e-15)
    d(Edge)/d(Height) check complete with        0 total errors (errmax=  2.5121e-15)
    d(Node)/d(Height) check complete with        0 total errors (errmax=  1.7764e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "Depth"
*********************************************************

Generating perturbed configuration with delta-Depth[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Depth) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Depth) check complete with        0 total errors (errmax=  1.0175e-15)
    d(Node)/d(Depth) check complete with        0 total errors (errmax=  4.4409e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Rhole"
*********************************************************

Generating perturbed configuration with delta-Rhole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Rhole) check complete with        0 total errors (errmax=  1.7902e-15)
    d(Edge)/d(Rhole) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Node)/d(Rhole) check complete with        0 total errors (errmax=  9.9301e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Nhole"
*********************************************************

Generating perturbed configuration with delta-Nhole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Nhole) check complete with        0 total errors (errmax=  1.7766e-06)
    d(Edge)/d(Nhole) check complete with        0 total errors (errmax=  1.7766e-06)
    d(Node)/d(Nhole) check complete with        0 total errors (errmax=  1.7766e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "Xpole"
*********************************************************

Generating perturbed configuration with delta-Xpole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Xpole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Xpole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Node)/d(Xpole) check complete with        0 total errors (errmax=  9.9301e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Ypole"
*********************************************************

Generating perturbed configuration with delta-Ypole[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Ypole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Ypole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Node)/d(Ypole) check complete with        0 total errors (errmax=  9.9301e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Rpole"
*********************************************************

Generating perturbed configuration with delta-Rpole[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Rpole) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Rpole) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Rpole) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "XangDeg"
*********************************************************

Generating perturbed configuration with delta-XangDeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
    d(Edge)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
    d(Node)/d(XangDeg) check complete with        0 total errors (errmax=  5.7116e-10)
 

*********************************************************
Starting tessellation sensitivity wrt "YangDeg"
*********************************************************

Generating perturbed configuration with delta-YangDeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
    d(Edge)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
    d(Node)/d(YangDeg) check complete with        0 total errors (errmax=  1.0217e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "ZangDeg"
*********************************************************

Generating perturbed configuration with delta-ZangDeg[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(ZangDeg) check complete with        0 total errors (errmax=  8.2254e-07)
    d(Edge)/d(ZangDeg) check complete with        0 total errors (errmax=  8.4778e-07)
    d(Node)/d(ZangDeg) check complete with        0 total errors (errmax=  8.4778e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "Dx"
*********************************************************

Generating perturbed configuration with delta-Dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dx) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(Dx) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Dx) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Dy"
*********************************************************

Generating perturbed configuration with delta-Dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dy) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Edge)/d(Dy) check complete with        0 total errors (errmax=  9.9301e-16)
    d(Node)/d(Dy) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Dz"
*********************************************************

Generating perturbed configuration with delta-Dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Dz) check complete with        0 total errors (errmax=  1.2561e-15)
    d(Edge)/d(Dz) check complete with        0 total errors (errmax=  9.1551e-16)
    d(Node)/d(Dz) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "Scale"
*********************************************************

Generating perturbed configuration with delta-Scale[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(Scale) check complete with        0 total errors (errmax=  1.9860e-15)
    d(Edge)/d(Scale) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(Scale) check complete with        0 total errors (errmax=  8.8818e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.362 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.7766e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "sweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "washout"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "xnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "xtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "fuserad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "spar1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "spar2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     73.343 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "sweep"
*********************************************************

Generating perturbed configuration with delta-sweep[1,1]=   0.02000000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "washout"
*********************************************************

Generating perturbed configuration with delta-washout[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xnose"
*********************************************************

Generating perturbed configuration with delta-xnose[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xtail"
*********************************************************

Generating perturbed configuration with delta-xtail[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "fuserad"
*********************************************************

Generating perturbed configuration with delta-fuserad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "spar1"
*********************************************************

Generating perturbed configuration with delta-spar1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "spar2"
*********************************************************

Generating perturbed configuration with delta-spar2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->     73.489 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "width"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "depth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "height"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "neckDiam"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "neckHeight"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "wall"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "filRad1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "filRad2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.067 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "width"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "depth"
*********************************************************

Generating perturbed configuration with delta-depth[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "height"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "neckDiam"
*********************************************************

Generating perturbed configuration with delta-neckDiam[1,1]=   0.00250000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "neckHeight"
*********************************************************

Generating perturbed configuration with delta-neckHeight[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "wall"
*********************************************************

Generating perturbed configuration with delta-wall[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "filRad1"
*********************************************************

Generating perturbed configuration with delta-filRad1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "filRad2"
*********************************************************

Generating perturbed configuration with delta-filRad2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.029 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design7.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "headLen"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "overallLen"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "shaftDiam"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "headAng"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "noseRad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "shldrRad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "finAng"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "finHeight"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "finLen"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "finWidth"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "filRad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "finXlate"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     71.277 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design7.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "headLen"
*********************************************************

Generating perturbed configuration with delta-headLen[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "overallLen"
*********************************************************

Generating perturbed configuration with delta-overallLen[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "shaftDiam"
*********************************************************

Generating perturbed configuration with delta-shaftDiam[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "headAng"
*********************************************************

Generating perturbed configuration with delta-headAng[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "noseRad"
*********************************************************

Generating perturbed configuration with delta-noseRad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "shldrRad"
*********************************************************

Generating perturbed configuration with delta-shldrRad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "finAng"
*********************************************************

Generating perturbed configuration with delta-finAng[1,1]=   0.06000000
Computing analytic sensitivities (if possible) for ibody=48
ERROR:: tessel error: wrong Face area for ibody=48, iface=10, itri=187, dot=-4.13541e-08
               orig=  30.68831807   -0.88690863   -1.33723965
                      30.74244405   -0.94287922   -1.43311472
                      30.75116535   -0.94190980   -1.43237926
               ptrb=  30.68087428   -0.88919707   -1.33961522
                      30.74038030   -0.94287862   -1.43311367
                      30.74176521   -0.94488681   -1.43555859
          area_orig=   0.00005178   -0.00087596    0.00054061
          area_ptrb=  -0.00005652    0.00001600   -0.00004516
ERROR:: tessel error: wrong Face area for ibody=48, iface=10, itri=190, dot=-5.06967e-08
               orig=  30.75116535   -0.94190980   -1.43237926
                      30.74244405   -0.94287922   -1.43311472
                      30.80592571   -0.99785595   -1.52833720
               ptrb=  30.74176521   -0.94488681   -1.43555859
                      30.74038030   -0.94287862   -1.43311367
                      30.80370838   -0.99785530   -1.52833608
          area_orig=   0.00005188   -0.00087715    0.00054101
          area_ptrb=  -0.00005681    0.00002296   -0.00005104
ERROR:: tessel error: wrong Face area for ibody=48, iface=10, itri=191, dot=-4.10602e-07
               orig=  30.75116535   -0.94190980   -1.43237926
                      30.80592571   -0.99785595   -1.52833720
                      30.81288425   -0.99596225   -1.52587716
               ptrb=  30.74176521   -0.94488681   -1.43555859
                      30.80370838   -0.99785530   -1.52833608
                      30.80109921   -0.99976811   -1.53006671
          area_orig=   0.00004409   -0.00080244    0.00049300
          area_ptrb=  -0.00008580    0.00034927   -0.00025669
ERROR:: tessel error: wrong Face area for ibody=48, iface=10, itri=194, dot=-4.30089e-07
               orig=  30.81288425   -0.99596225   -1.52587716
                      30.80592571   -0.99785595   -1.52833720
                      30.86940250   -1.05283272   -1.62355976
               ptrb=  30.80109921   -0.99976811   -1.53006671
                      30.80370838   -0.99785530   -1.52833608
                      30.86703160   -1.05283203   -1.62355857
          area_orig=   0.00004508   -0.00081877    0.00050276
          area_ptrb=  -0.00008700    0.00035804   -0.00026457
ERROR:: tessel error: wrong Face area for ibody=48, iface=17, itri=219, dot=-3.68296e-08
               orig=  30.68801888   -0.71498190    1.43747893
                      30.74244405   -0.76967414    1.53311472
                      30.75133117   -0.77026147    1.53333604
               ptrb=  30.68015449   -0.71602292    1.44085367
                      30.74038030   -0.76967354    1.53311367
                      30.74252080   -0.77148902    1.53713014
          area_orig=   0.00004407    0.00083788    0.00045409
          area_ptrb=  -0.00004799   -0.00004441    0.00000550
ERROR:: tessel error: wrong Face area for ibody=48, iface=17, itri=222, dot=-4.29290e-08
               orig=  30.75133117   -0.77026147    1.53333604
                      30.74244405   -0.76967414    1.53311472
                      30.80592571   -0.82465086    1.62833720
               ptrb=  30.74252080   -0.77148902    1.53713014
                      30.74038030   -0.76967354    1.53311367
                      30.80370838   -0.82465022    1.62833608
          area_orig=   0.00004376    0.00083220    0.00045130
          area_ptrb=  -0.00004794   -0.00005053    0.00000271
ERROR:: tessel error: wrong Face area for ibody=48, iface=17, itri=223, dot=-4.21258e-07
               orig=  30.75133117   -0.77026147    1.53333604
                      30.80592571   -0.82465086    1.62833720
                      30.81363259   -0.82452499    1.62739428
               ptrb=  30.74252080   -0.77148902    1.53713014
                      30.80370838   -0.82465022    1.62833608
                      30.80194229   -0.82629454    1.63269387
          area_orig=   0.00003933    0.00078364    0.00042605
          area_ptrb=  -0.00008169   -0.00042772   -0.00019450
ERROR:: tessel error: wrong Face area for ibody=48, iface=17, itri=226, dot=-4.42681e-07
               orig=  30.81363259   -0.82452499    1.62739428
                      30.80592571   -0.82465086    1.62833720
                      30.86940250   -0.87962764    1.72355976
               ptrb=  30.80194229   -0.82629454    1.63269387
                      30.80370838   -0.82465022    1.62833608
                      30.86703160   -0.87962695    1.72355857
          area_orig=   0.00003985    0.00079372    0.00043169
          area_ptrb=  -0.00008300   -0.00044412   -0.00020122
ERROR:: tessel error: wrong Face area for ibody=48, iface=21, itri=187, dot=-4.13541e-08
               orig=  30.68831807   -0.88690863    1.33723965
                      30.75116535   -0.94190980    1.43237927
                      30.74244405   -0.94287922    1.43311472
               ptrb=  30.68087428   -0.88919707    1.33961522
                      30.74176521   -0.94488681    1.43555860
                      30.74038030   -0.94287862    1.43311367
          area_orig=   0.00005178   -0.00087596   -0.00054061
          area_ptrb=  -0.00005652    0.00001600    0.00004516
ERROR:: tessel error: wrong Face area for ibody=48, iface=21, itri=190, dot=-5.06967e-08
               orig=  30.75116535   -0.94190980    1.43237927
                      30.80592571   -0.99785595    1.52833720
                      30.74244405   -0.94287922    1.43311472
               ptrb=  30.74176521   -0.94488681    1.43555860
                      30.80370838   -0.99785530    1.52833608
                      30.74038030   -0.94287862    1.43311367
          area_orig=   0.00005188   -0.00087715   -0.00054101
          area_ptrb=  -0.00005681    0.00002296    0.00005104
ERROR:: tessel error: wrong Face area for ibody=48, iface=21, itri=191, dot=-4.10602e-07
               orig=  30.75116535   -0.94190980    1.43237927
                      30.81288425   -0.99596225    1.52587717
                      30.80592571   -0.99785595    1.52833720
               ptrb=  30.74176521   -0.94488681    1.43555860
                      30.80109921   -0.99976812    1.53006671
                      30.80370838   -0.99785530    1.52833608
          area_orig=   0.00004409   -0.00080244   -0.00049300
          area_ptrb=  -0.00008580    0.00034927    0.00025669
ERROR:: tessel error: wrong Face area for ibody=48, iface=21, itri=194, dot=-4.30089e-07
               orig=  30.81288425   -0.99596225    1.52587717
                      30.86940250   -1.05283272    1.62355976
                      30.80592571   -0.99785595    1.52833720
               ptrb=  30.80109921   -0.99976812    1.53006671
                      30.86703160   -1.05283203    1.62355857
                      30.80370838   -0.99785530    1.52833608
          area_orig=   0.00004508   -0.00081876   -0.00050276
          area_ptrb=  -0.00008700    0.00035804    0.00026457
ERROR:: tessel error: wrong Face area for ibody=48, iface=24, itri=219, dot=-3.68296e-08
               orig=  30.68801888   -0.71498191   -1.43747894
                      30.75133118   -0.77026148   -1.53333605
                      30.74244405   -0.76967414   -1.53311472
               ptrb=  30.68015449   -0.71602292   -1.44085368
                      30.74252081   -0.77148903   -1.53713015
                      30.74038030   -0.76967354   -1.53311367
          area_orig=   0.00004407    0.00083788   -0.00045409
          area_ptrb=  -0.00004799   -0.00004441   -0.00000550
ERROR:: tessel error: wrong Face area for ibody=48, iface=24, itri=222, dot=-4.29290e-08
               orig=  30.75133118   -0.77026148   -1.53333605
                      30.80592571   -0.82465086   -1.62833720
                      30.74244405   -0.76967414   -1.53311472
               ptrb=  30.74252081   -0.77148903   -1.53713015
                      30.80370838   -0.82465022   -1.62833608
                      30.74038030   -0.76967354   -1.53311367
          area_orig=   0.00004376    0.00083220   -0.00045130
          area_ptrb=  -0.00004794   -0.00005053   -0.00000271
ERROR:: tessel error: wrong Face area for ibody=48, iface=24, itri=223, dot=-4.21258e-07
               orig=  30.75133118   -0.77026148   -1.53333605
                      30.81363260   -0.82452499   -1.62739429
                      30.80592571   -0.82465086   -1.62833720
               ptrb=  30.74252081   -0.77148903   -1.53713015
                      30.80194229   -0.82629455   -1.63269388
                      30.80370838   -0.82465022   -1.62833608
          area_orig=   0.00003933    0.00078364   -0.00042605
          area_ptrb=  -0.00008169   -0.00042772    0.00019450
ERROR:: tessel error: wrong Face area for ibody=48, iface=24, itri=226, dot=-4.42681e-07
               orig=  30.81363260   -0.82452499   -1.62739429
                      30.86940250   -0.87962764   -1.72355976
                      30.80592571   -0.82465086   -1.62833720
               ptrb=  30.80194229   -0.82629455   -1.63269388
                      30.86703160   -0.87962695   -1.72355857
                      30.80370838   -0.82465022   -1.62833608
          area_orig=   0.00003985    0.00079372   -0.00043169
          area_ptrb=  -0.00008300   -0.00044412    0.00020122
ERROR:: tessel error: wrong Face area for ibody=48, iface=25, itri=187, dot=-4.13504e-08
               orig=  30.68829302    1.60153538   -0.09946812
                      30.74244405    1.71255336   -0.10000000
                      30.75114919    1.71143016   -0.09952972
               ptrb=  30.68083915    1.60474270   -0.10026171
                      30.74038030    1.71255216   -0.10000000
                      30.74176089    1.71566520   -0.10051500
          area_orig=   0.00005161   -0.00003010   -0.00102725
          area_ptrb=  -0.00005634    0.00003103    0.00003651
ERROR:: tessel error: wrong Face area for ibody=48, iface=25, itri=190, dot=-5.05353e-08
               orig=  30.75114919    1.71143016   -0.09952972
                      30.74244405    1.71255336   -0.10000000
                      30.80592571    1.82250681   -0.10000000
               ptrb=  30.74176089    1.71566520   -0.10051500
                      30.74038030    1.71255216   -0.10000000
                      30.80370838    1.82250552   -0.10000000
          area_orig=   0.00005171   -0.00002985   -0.00102846
          area_ptrb=  -0.00005663    0.00003261    0.00004534
ERROR:: tessel error: wrong Face area for ibody=48, iface=25, itri=191, dot=-4.10612e-07
               orig=  30.75114919    1.71143016   -0.09952972
                      30.80592571    1.82250681   -0.10000000
                      30.81287640    1.81942875   -0.09959072
               ptrb=  30.74176089    1.71566520   -0.10051500
                      30.80370838    1.82250552   -0.10000000
                      30.80109450    1.82495812   -0.10079050
          area_orig=   0.00004401   -0.00002569   -0.00094067
          area_ptrb=  -0.00008572    0.00004762    0.00043120
ERROR:: tessel error: wrong Face area for ibody=48, iface=25, itri=194, dot=-4.30056e-07
               orig=  30.81287640    1.81942875   -0.09959072
                      30.80592571    1.82250681   -0.10000000
                      30.86940250    1.93246036   -0.10000000
               ptrb=  30.80109450    1.82495812   -0.10079050
                      30.80370838    1.82250552   -0.10000000
                      30.86703160    1.93245898   -0.10000000
          area_orig=   0.00004500   -0.00002598   -0.00095964
          area_ptrb=  -0.00008692    0.00005006    0.00044271
ERROR:: tessel error: wrong Face area for ibody=48, iface=28, itri=187, dot=-4.13504e-08
               orig=  30.68829302    1.60153538    0.09946812
                      30.75114919    1.71143016    0.09952972
                      30.74244405    1.71255336    0.10000000
               ptrb=  30.68083915    1.60474270    0.10026171
                      30.74176089    1.71566520    0.10051500
                      30.74038030    1.71255216    0.10000000
          area_orig=   0.00005161   -0.00003010    0.00102725
          area_ptrb=  -0.00005634    0.00003103   -0.00003651
ERROR:: tessel error: wrong Face area for ibody=48, iface=28, itri=190, dot=-5.05353e-08
               orig=  30.75114919    1.71143016    0.09952972
                      30.80592571    1.82250681    0.10000000
                      30.74244405    1.71255336    0.10000000
               ptrb=  30.74176089    1.71566520    0.10051500
                      30.80370838    1.82250552    0.10000000
                      30.74038030    1.71255216    0.10000000
          area_orig=   0.00005171   -0.00002985    0.00102846
          area_ptrb=  -0.00005663    0.00003261   -0.00004534
ERROR:: tessel error: wrong Face area for ibody=48, iface=28, itri=191, dot=-4.10612e-07
               orig=  30.75114919    1.71143016    0.09952972
                      30.81287641    1.81942876    0.09959072
                      30.80592571    1.82250681    0.10000000
               ptrb=  30.74176089    1.71566520    0.10051500
                      30.80109451    1.82495813    0.10079050
                      30.80370838    1.82250552    0.10000000
          area_orig=   0.00004401   -0.00002569    0.00094067
          area_ptrb=  -0.00008572    0.00004762   -0.00043120
ERROR:: tessel error: wrong Face area for ibody=48, iface=28, itri=194, dot=-4.30056e-07
               orig=  30.81287641    1.81942876    0.09959072
                      30.86940250    1.93246036    0.10000000
                      30.80592571    1.82250681    0.10000000
               ptrb=  30.80109451    1.82495813    0.10079050
                      30.86703160    1.93245898    0.10000000
                      30.80370838    1.82250552    0.10000000
          area_orig=   0.00004500   -0.00002598    0.00095964
          area_ptrb=  -0.00008692    0.00005006   -0.00044271

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "finHeight"
*********************************************************

Generating perturbed configuration with delta-finHeight[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "finLen"
*********************************************************

Generating perturbed configuration with delta-finLen[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "finWidth"
*********************************************************

Generating perturbed configuration with delta-finWidth[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "filRad"
*********************************************************

Generating perturbed configuration with delta-filRad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "finXlate"
*********************************************************

Generating perturbed configuration with delta-finXlate[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=48

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->     71.156 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design8a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xbase" for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  4.0695e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ybase" for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  6.4400e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.5481e-10)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "zbase" for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.7038e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "L" for ibody=4
    d(Face)/d(L) check complete with        0 total errors (errmax=  3.4518e-10)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  3.6182e-10)
    d(Node)/d(L) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "H" for ibody=4
    d(Face)/d(H) check complete with        0 total errors (errmax=  9.4979e-10)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  7.4018e-10)
    d(Node)/d(H) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "W" for ibody=4
    d(Face)/d(W) check complete with        0 total errors (errmax=  2.7038e-10)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(W) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "t" for ibody=4
    d(Face)/d(t) check complete with        0 total errors (errmax=  1.9626e-08)
    d(Edge)/d(t) check complete with        0 total errors (errmax=  1.9478e-08)
    d(Node)/d(t) check complete with        0 total errors (errmax=  4.4409e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.030 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.9626e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design8a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  6.2804e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  6.2804e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.0469e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "L"
*********************************************************

Generating perturbed configuration with delta-L[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(L) check complete with        0 total errors (errmax=  5.5521e-16)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  4.4420e-16)
    d(Node)/d(L) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "H"
*********************************************************

Generating perturbed configuration with delta-H[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(H) check complete with        0 total errors (errmax=  4.5515e-09)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  4.5515e-09)
    d(Node)/d(H) check complete with        0 total errors (errmax=  1.3323e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "W"
*********************************************************

Generating perturbed configuration with delta-W[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(W) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(W) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "t"
*********************************************************

Generating perturbed configuration with delta-t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(t) check complete with        0 total errors (errmax=  1.3379e-07)
    d(Edge)/d(t) check complete with        0 total errors (errmax=  1.3379e-07)
    d(Node)/d(t) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.731 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.3379e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design8b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xbase" for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.4691e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.6182e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.6182e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ybase" for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  7.7214e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-09)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-09)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "zbase" for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.0728e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "L" for ibody=4
    d(Face)/d(L) check complete with        0 total errors (errmax=  3.4691e-10)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(L) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "H" for ibody=4
    d(Face)/d(H) check complete with        0 total errors (errmax=  9.5792e-08)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  9.5792e-08)
    d(Node)/d(H) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "W" for ibody=4
    d(Face)/d(W) check complete with        0 total errors (errmax=  2.0728e-10)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(W) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "R" for ibody=4
    d(Face)/d(R) check complete with        0 total errors (errmax=  9.6589e-08)
    d(Edge)/d(R) check complete with        0 total errors (errmax=  9.6589e-08)
    d(Node)/d(R) check complete with        0 total errors (errmax=  6.6613e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.036 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.6589e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design8b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3323e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  5.9707e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  5.5424e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "L"
*********************************************************

Generating perturbed configuration with delta-L[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(L) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(L) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "H"
*********************************************************

Generating perturbed configuration with delta-H[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(H) check complete with        0 total errors (errmax=  3.8503e-07)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  3.8503e-07)
    d(Node)/d(H) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "W"
*********************************************************

Generating perturbed configuration with delta-W[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(W) check complete with        0 total errors (errmax=  6.0809e-16)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(W) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "R"
*********************************************************

Generating perturbed configuration with delta-R[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(R) check complete with        0 total errors (errmax=  3.8439e-07)
    d(Edge)/d(R) check complete with        0 total errors (errmax=  3.8439e-07)
    d(Node)/d(R) check complete with        0 total errors (errmax=  2.2204e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.690 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.8503e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design8c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "xcent" for ibody=7
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  3.7058e-10)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  3.1504e-07)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "ycent" for ibody=7
iface=   1, ipnt=   1 (Y): anal=   0.38741403,  fd=   0.39002813,  err=  -0.00261411 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   1 (Z): anal=  -0.48715952,  fd=  -0.49044667,  err=   0.00328715 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   2 (Y): anal=   0.32882776,  fd=   0.32605224,  err=   0.00277552 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   2 (Z): anal=  -0.46978725,  fd=  -0.46582195,  err=  -0.00396530 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   3 (Y): anal=   0.26852873,  fd=   0.27204711,  err=  -0.00351838 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   3 (Z): anal=  -0.44319415,  fd=  -0.44900106,  err=   0.00580692 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   4 (Y): anal=   0.23793242,  fd=   0.23473673,  err=   0.00319569 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   4 (Z): anal=  -0.42581755,  fd=  -0.42009835,  err=  -0.00571920 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   5 (Y): anal=   0.20727830,  fd=   0.20592803,  err=   0.00135027 (at    0.83324705    0.68291740   -1.33552380)
iface=   1, ipnt=   5 (Z): anal=  -0.40535664,  fd=  -0.40271603,  err=  -0.00264061 (at    0.83324705    0.68291740   -1.33552380)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=   0.44086548,  fd=   0.43819104,  err=   0.00267444 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  33 (Y): anal=   0.26412370,  fd=   0.26252143,  err=   0.00160226 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  34 (X): anal=   0.41704240,  fd=   0.42021638,  err=  -0.00317398 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  34 (Y): anal=   0.22418187,  fd=   0.22588805,  err=  -0.00170618 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  35 (X): anal=   0.38672584,  fd=   0.38220938,  err=   0.00451645 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  35 (Y): anal=   0.18307236,  fd=   0.18093432,  err=   0.00213805 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  36 (X): anal=   0.36864609,  fd=   0.37280260,  err=  -0.00415651 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  36 (Y): anal=   0.16221299,  fd=   0.16404196,  err=  -0.00182896 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  37 (X): anal=   0.34834539,  fd=   0.35043527,  err=  -0.00208988 (at    0.83324705   -0.68291740    1.33552380)
iface=   2, ipnt=  37 (Y): anal=   0.14131422,  fd=   0.14216203,  err=  -0.00084781 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
iface=   6, ipnt=  97 (Y): anal=   0.38741403,  fd=   0.38479992,  err=   0.00261411 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  97 (Z): anal=  -0.48715952,  fd=  -0.48387237,  err=  -0.00328715 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  98 (Y): anal=   0.32882776,  fd=   0.33160327,  err=  -0.00277552 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  98 (Z): anal=  -0.46978725,  fd=  -0.47375256,  err=   0.00396530 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  99 (Y): anal=   0.26852873,  fd=   0.26501036,  err=   0.00351838 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt=  99 (Z): anal=  -0.44319415,  fd=  -0.43738723,  err=  -0.00580692 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt= 100 (Y): anal=   0.23793242,  fd=   0.24112811,  err=  -0.00319569 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 100 (Z): anal=  -0.42581755,  fd=  -0.43153674,  err=   0.00571920 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 101 (Y): anal=   0.20727830,  fd=   0.20862857,  err=  -0.00135027 (at    0.83324705   -0.68291740    1.33552380)
iface=   6, ipnt= 101 (Z): anal=  -0.40535664,  fd=  -0.40799725,  err=   0.00264061 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
    d(Face)/d(ycent) check complete with      214 total errors (errmax=  1.2939e-02)
iedge=   1, ipnt=   1 (X): anal=   0.30092336,  fd=   0.30144614,  err=  -0.00052279 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Y): anal=   0.49674657,  fd=   0.49766337,  err=  -0.00091680 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Z): anal=   0.39929299,  fd=   0.40005449,  err=  -0.00076151 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   2 (X): anal=   0.30212656,  fd=   0.30168525,  err=   0.00044131 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Y): anal=   0.43541429,  fd=   0.43480997,  err=   0.00060432 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Z): anal=   0.39312591,  fd=   0.39259718,  err=   0.00052873 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   3 (X): anal=   0.30049281,  fd=   0.30242919,  err=  -0.00193638 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Y): anal=   0.40232317,  fd=   0.40540628,  err=  -0.00308310 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Z): anal=   0.38750928,  fd=   0.39076296,  err=  -0.00325368 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   4 (X): anal=   0.29700792,  fd=   0.29712376,  err=  -0.00011584 (at    0.87228827   -0.77220297   -1.28596366)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=  -0.30092336,  fd=  -0.30040024,  err=  -0.00052312 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Y): anal=   0.49674657,  fd=   0.49582910,  err=   0.00091748 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Z): anal=   0.39929299,  fd=   0.39853087,  err=   0.00076212 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   2 (X): anal=  -0.30212656,  fd=  -0.30256816,  err=   0.00044160 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Y): anal=   0.43541429,  fd=   0.43601909,  err=  -0.00060480 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Z): anal=   0.39312591,  fd=   0.39365512,  err=  -0.00052921 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   3 (X): anal=  -0.30049281,  fd=  -0.29855627,  err=  -0.00193654 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Y): anal=   0.40232317,  fd=   0.39923980,  err=   0.00308337 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Z): anal=   0.38750928,  fd=   0.38425530,  err=   0.00325398 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   4 (X): anal=  -0.29700792,  fd=  -0.29689177,  err=  -0.00011615 (at    0.87228827    0.77220297    1.28596366)
...too many errors to list
    d(Edge)/d(ycent) check complete with      168 total errors (errmax=  1.2524e-02)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  3.6182e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "zcent" for ibody=7
    d(Face)/d(zcent) check complete with        0 total errors (errmax=  1.9467e-09)
    d(Edge)/d(zcent) check complete with        0 total errors (errmax=  4.1846e-07)
    d(Node)/d(zcent) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "L" for ibody=7
iface=   2, ipnt=  33 (X): anal=   0.36793815,  fd=   0.36526371,  err=   0.00267444 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  33 (Y): anal=   0.22043274,  fd=   0.21883047,  err=   0.00160226 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  34 (X): anal=   0.38790906,  fd=   0.39108305,  err=  -0.00317398 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  34 (Y): anal=   0.20852120,  fd=   0.21022738,  err=  -0.00170618 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  35 (X): anal=   0.40846382,  fd=   0.40394737,  err=   0.00451645 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  35 (Y): anal=   0.19336292,  fd=   0.19122487,  err=   0.00213805 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  36 (X): anal=   0.41889350,  fd=   0.42305001,  err=  -0.00415651 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  36 (Y): anal=   0.18432304,  fd=   0.18615201,  err=  -0.00182896 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  37 (X): anal=   0.42934289,  fd=   0.43143277,  err=  -0.00208988 (at    0.83324705   -0.68291740    1.33552380)
iface=   2, ipnt=  37 (Y): anal=   0.17417269,  fd=   0.17502050,  err=  -0.00084781 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
iface=   6, ipnt=  97 (Y): anal=  -0.00000000,  fd=  -0.00261411,  err=   0.00261411 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  97 (Z): anal=   0.00000000,  fd=   0.00328715,  err=  -0.00328715 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  98 (Y): anal=  -0.00000000,  fd=   0.00277552,  err=  -0.00277552 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  98 (Z): anal=   0.00000000,  fd=  -0.00396530,  err=   0.00396530 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  99 (Y): anal=  -0.00000000,  fd=  -0.00351838,  err=   0.00351838 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt=  99 (Z): anal=   0.00000000,  fd=   0.00580692,  err=  -0.00580692 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt= 100 (Y): anal=  -0.00000000,  fd=   0.00319569,  err=  -0.00319569 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 100 (Z): anal=   0.00000000,  fd=  -0.00571920,  err=   0.00571920 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 101 (Y): anal=  -0.00000000,  fd=   0.00135027,  err=  -0.00135027 (at    0.83324705   -0.68291740    1.33552380)
iface=   6, ipnt= 101 (Z): anal=   0.00000000,  fd=  -0.00264061,  err=   0.00264061 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
    d(Face)/d(L) check complete with      107 total errors (errmax=  1.2939e-02)
iedge=   6, ipnt=   1 (X): anal=   0.41003066,  fd=   0.41055366,  err=  -0.00052300 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Y): anal=  -0.15046149,  fd=  -0.15137874,  err=   0.00091724 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Z): anal=   0.11937965,  fd=   0.11861775,  err=   0.00076190 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   2 (X): anal=   0.41916148,  fd=   0.41871999,  err=   0.00044149 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Y): anal=  -0.15106342,  fd=  -0.15045879,  err=  -0.00060463 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Z): anal=   0.10518676,  fd=   0.10571580,  err=  -0.00052903 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   3 (X): anal=   0.42446094,  fd=   0.42639742,  err=  -0.00193648 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Y): anal=  -0.15024633,  fd=  -0.15332961,  err=   0.00308327 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Z): anal=   0.09741359,  fd=   0.09415973,  err=   0.00325387 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   4 (X): anal=   0.43026234,  fd=   0.43037837,  err=  -0.00011603 (at    0.87228827    0.77220297    1.28596366)
...too many errors to list
    d(Edge)/d(L) check complete with       84 total errors (errmax=  1.2524e-02)
    d(Node)/d(L) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "H" for ibody=7
iface=   1, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00261404,  err=  -0.00261404 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   1 (Z): anal=  -0.00000000,  fd=  -0.00328706,  err=   0.00328706 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00277558,  err=   0.00277558 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   2 (Z): anal=  -0.00000000,  fd=   0.00396539,  err=  -0.00396539 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00351834,  err=  -0.00351834 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   3 (Z): anal=  -0.00000000,  fd=  -0.00580685,  err=   0.00580685 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00319574,  err=   0.00319574 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   4 (Z): anal=  -0.00000000,  fd=   0.00571929,  err=  -0.00571929 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   5 (Y): anal=   0.00000000,  fd=  -0.00135029,  err=   0.00135029 (at    0.83324705    0.68291740   -1.33552380)
iface=   1, ipnt=   5 (Z): anal=  -0.00000000,  fd=   0.00264065,  err=  -0.00264065 (at    0.83324705    0.68291740   -1.33552380)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=  -0.20326004,  fd=  -0.20593449,  err=   0.00267444 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  33 (Y): anal=  -0.12177364,  fd=  -0.12337591,  err=   0.00160227 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  34 (X): anal=  -0.17497876,  fd=  -0.17180479,  err=  -0.00317398 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  34 (Y): anal=  -0.09406014,  fd=  -0.09235396,  err=  -0.00170618 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  35 (X): anal=  -0.14485476,  fd=  -0.14937122,  err=   0.00451646 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  35 (Y): anal=  -0.06857288,  fd=  -0.07071092,  err=   0.00213805 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  36 (X): anal=  -0.12920007,  fd=  -0.12504357,  err=  -0.00415650 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  36 (Y): anal=  -0.05685108,  fd=  -0.05502213,  err=  -0.00182896 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  37 (X): anal=  -0.11327870,  fd=  -0.11118883,  err=  -0.00208987 (at    0.83324705   -0.68291740    1.33552380)
iface=   2, ipnt=  37 (Y): anal=  -0.04595408,  fd=  -0.04510627,  err=  -0.00084780 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
iface=   6, ipnt=  97 (Y): anal=  -0.00000000,  fd=  -0.00261404,  err=   0.00261404 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  97 (Z): anal=   0.00000000,  fd=   0.00328706,  err=  -0.00328706 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  98 (Y): anal=  -0.00000000,  fd=   0.00277558,  err=  -0.00277558 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  98 (Z): anal=   0.00000000,  fd=  -0.00396539,  err=   0.00396539 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  99 (Y): anal=  -0.00000000,  fd=  -0.00351834,  err=   0.00351834 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt=  99 (Z): anal=   0.00000000,  fd=   0.00580685,  err=  -0.00580685 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt= 100 (Y): anal=  -0.00000000,  fd=   0.00319574,  err=  -0.00319574 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 100 (Z): anal=   0.00000000,  fd=  -0.00571928,  err=   0.00571928 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 101 (Y): anal=  -0.00000000,  fd=   0.00135029,  err=  -0.00135029 (at    0.83324705   -0.68291740    1.33552380)
iface=   6, ipnt= 101 (Z): anal=   0.00000000,  fd=  -0.00264065,  err=   0.00264065 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
    d(Face)/d(H) check complete with      214 total errors (errmax=  1.2939e-02)
iedge=   1, ipnt=   1 (X): anal=  -0.22570824,  fd=  -0.22518520,  err=  -0.00052304 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Y): anal=  -0.08282405,  fd=  -0.08190658,  err=  -0.00091746 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Z): anal=   0.06571453,  fd=   0.06647668,  err=  -0.00076216 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   2 (X): anal=  -0.18747665,  fd=  -0.18791823,  err=   0.00044158 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Y): anal=  -0.06756552,  fd=  -0.06817020,  err=   0.00060468 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Z): anal=   0.04704646,  fd=   0.04651741,  err=   0.00052904 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   3 (X): anal=  -0.16875808,  fd=  -0.16682160,  err=  -0.00193648 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Y): anal=  -0.05973526,  fd=  -0.05665190,  err=  -0.00308336 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Z): anal=   0.03872990,  fd=   0.04198390,  err=  -0.00325400 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   4 (X): anal=  -0.15026782,  fd=  -0.15015176,  err=  -0.00011606 (at    0.87228827   -0.77220297   -1.28596366)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=  -0.22570824,  fd=  -0.22518520,  err=  -0.00052304 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Y): anal=   0.08282405,  fd=   0.08190658,  err=   0.00091746 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Z): anal=  -0.06571453,  fd=  -0.06647668,  err=   0.00076216 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   2 (X): anal=  -0.18747665,  fd=  -0.18791823,  err=   0.00044158 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Y): anal=   0.06756552,  fd=   0.06817020,  err=  -0.00060468 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Z): anal=  -0.04704646,  fd=  -0.04651741,  err=  -0.00052904 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   3 (X): anal=  -0.16875808,  fd=  -0.16682160,  err=  -0.00193648 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Y): anal=   0.05973526,  fd=   0.05665189,  err=   0.00308336 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Z): anal=  -0.03872990,  fd=  -0.04198390,  err=   0.00325400 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   4 (X): anal=  -0.15026782,  fd=  -0.15015177,  err=  -0.00011606 (at    0.87228827    0.77220297    1.28596366)
...too many errors to list
    d(Edge)/d(H) check complete with      168 total errors (errmax=  1.2524e-02)
    d(Node)/d(H) check complete with        0 total errors (errmax=  2.4202e-07)
 

*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "W" for ibody=7
iface=   1, ipnt=   1 (Y): anal=   0.31121296,  fd=   0.31382703,  err=  -0.00261407 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   1 (Z): anal=  -0.39133936,  fd=  -0.39462646,  err=   0.00328710 (at    0.95827127    0.93363888   -1.17401808)
iface=   1, ipnt=   2 (Y): anal=   0.28671752,  fd=   0.28394199,  err=   0.00277554 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   2 (Z): anal=  -0.40962551,  fd=  -0.40566018,  err=  -0.00396533 (at    0.91653688    0.86015257   -1.22887654)
iface=   1, ipnt=   3 (Y): anal=   0.25909879,  fd=   0.26261715,  err=  -0.00351836 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   3 (Z): anal=  -0.42763047,  fd=  -0.43343735,  err=   0.00580688 (at    0.87468977    0.77729637   -1.28289140)
iface=   1, ipnt=   4 (Y): anal=   0.24389158,  fd=   0.24069589,  err=   0.00319569 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   4 (Z): anal=  -0.43648240,  fd=  -0.43076321,  err=  -0.00571920 (at    0.85385886    0.73167474   -1.30944721)
iface=   1, ipnt=   5 (Y): anal=   0.22763913,  fd=   0.22628885,  err=   0.00135028 (at    0.83324705    0.68291740   -1.33552380)
iface=   1, ipnt=   5 (Z): anal=  -0.44517460,  fd=  -0.44253397,  err=  -0.00264063 (at    0.83324705    0.68291740   -1.33552380)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=  -0.00000000,  fd=  -0.00267444,  err=   0.00267444 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  33 (Y): anal=  -0.00000000,  fd=  -0.00160226,  err=   0.00160226 (at    0.95827127   -0.93363888    1.17401808)
iface=   2, ipnt=  34 (X): anal=  -0.00000000,  fd=   0.00317398,  err=  -0.00317398 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  34 (Y): anal=  -0.00000000,  fd=   0.00170618,  err=  -0.00170618 (at    0.91653688   -0.86015257    1.22887654)
iface=   2, ipnt=  35 (X): anal=  -0.00000000,  fd=  -0.00451645,  err=   0.00451645 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  35 (Y): anal=  -0.00000000,  fd=  -0.00213804,  err=   0.00213804 (at    0.87468977   -0.77729637    1.28289140)
iface=   2, ipnt=  36 (X): anal=  -0.00000000,  fd=   0.00415650,  err=  -0.00415650 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  36 (Y): anal=  -0.00000000,  fd=   0.00182896,  err=  -0.00182896 (at    0.85385886   -0.73167474    1.30944721)
iface=   2, ipnt=  37 (X): anal=  -0.00000000,  fd=   0.00208988,  err=  -0.00208988 (at    0.83324705   -0.68291740    1.33552380)
iface=   2, ipnt=  37 (Y): anal=  -0.00000000,  fd=   0.00084781,  err=  -0.00084781 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
iface=   6, ipnt=  97 (Y): anal=  -0.31121296,  fd=  -0.31382703,  err=   0.00261407 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  97 (Z): anal=   0.39133936,  fd=   0.39462646,  err=  -0.00328710 (at    0.95827127   -0.93363888    1.17401808)
iface=   6, ipnt=  98 (Y): anal=  -0.28671752,  fd=  -0.28394199,  err=  -0.00277554 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  98 (Z): anal=   0.40962551,  fd=   0.40566018,  err=   0.00396533 (at    0.91653688   -0.86015257    1.22887654)
iface=   6, ipnt=  99 (Y): anal=  -0.25909879,  fd=  -0.26261715,  err=   0.00351836 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt=  99 (Z): anal=   0.42763047,  fd=   0.43343735,  err=  -0.00580688 (at    0.87468977   -0.77729637    1.28289140)
iface=   6, ipnt= 100 (Y): anal=  -0.24389158,  fd=  -0.24069589,  err=  -0.00319569 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 100 (Z): anal=   0.43648240,  fd=   0.43076321,  err=   0.00571920 (at    0.85385886   -0.73167474    1.30944721)
iface=   6, ipnt= 101 (Y): anal=  -0.22763913,  fd=  -0.22628885,  err=  -0.00135028 (at    0.83324705   -0.68291740    1.33552380)
iface=   6, ipnt= 101 (Z): anal=   0.44517460,  fd=   0.44253397,  err=   0.00264063 (at    0.83324705   -0.68291740    1.33552380)
...too many errors to list
    d(Face)/d(W) check complete with      214 total errors (errmax=  1.2939e-02)
iedge=   1, ipnt=   1 (X): anal=   0.15239129,  fd=   0.15291414,  err=  -0.00052285 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Y): anal=  -0.25485372,  fd=  -0.25393673,  err=  -0.00091699 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   1 (Z): anal=  -0.43605649,  fd=  -0.43529479,  err=  -0.00076170 (at    0.95748353   -0.93232276   -1.17506352)
iedge=   1, ipnt=   2 (X): anal=   0.12817456,  fd=   0.12773315,  err=   0.00044140 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Y): anal=  -0.23952056,  fd=  -0.24012498,  err=   0.00060443 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   2 (Z): anal=  -0.44249100,  fd=  -0.44301981,  err=   0.00052882 (at    0.91492177   -0.85714122   -1.23097886)
iedge=   1, ipnt=   3 (X): anal=   0.11609679,  fd=   0.11803321,  err=  -0.00193642 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Y): anal=  -0.23091521,  fd=  -0.22783201,  err=  -0.00308320 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   3 (Z): anal=  -0.44618031,  fd=  -0.44292650,  err=  -0.00325381 (at    0.89359167   -0.81603025   -1.25860823)
iedge=   1, ipnt=   4 (X): anal=   0.10401667,  fd=   0.10413259,  err=  -0.00011593 (at    0.87228827   -0.77220297   -1.28596366)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=   0.15239129,  fd=   0.15291414,  err=  -0.00052285 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Y): anal=   0.25485372,  fd=   0.25393673,  err=   0.00091699 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   1 (Z): anal=   0.43605649,  fd=   0.43529479,  err=   0.00076170 (at    0.95748353    0.93232276    1.17506352)
iedge=   6, ipnt=   2 (X): anal=   0.12817456,  fd=   0.12773315,  err=   0.00044140 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Y): anal=   0.23952056,  fd=   0.24012498,  err=  -0.00060443 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   2 (Z): anal=   0.44249100,  fd=   0.44301981,  err=  -0.00052882 (at    0.91492177    0.85714122    1.23097886)
iedge=   6, ipnt=   3 (X): anal=   0.11609679,  fd=   0.11803321,  err=  -0.00193642 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Y): anal=   0.23091521,  fd=   0.22783201,  err=   0.00308320 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   3 (Z): anal=   0.44618031,  fd=   0.44292650,  err=   0.00325381 (at    0.89359167    0.81603025    1.25860823)
iedge=   6, ipnt=   4 (X): anal=   0.10401667,  fd=   0.10413259,  err=  -0.00011593 (at    0.87228827    0.77220297    1.28596366)
...too many errors to list
    d(Edge)/d(W) check complete with      168 total errors (errmax=  1.2524e-02)
    d(Node)/d(W) check complete with        0 total errors (errmax=  1.5300e-07)
 

*********************************************************
Starting configuration sensitivity wrt "t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "t" for ibody=7
    d(Face)/d(t) check complete with        0 total errors (errmax=  1.7552e-07)
    d(Edge)/d(t) check complete with        0 total errors (errmax=  1.8691e-07)
    d(Node)/d(t) check complete with        0 total errors (errmax=  1.0148e-13)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.081 sec

Sensitivity checks complete with     1337 tnotal errors (max config err=  1.2939e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design8c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xcent"
*********************************************************

Generating perturbed configuration with delta-xcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  2.7231e-08)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.6368e-08)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ycent"
*********************************************************

Generating perturbed configuration with delta-ycent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  2.7231e-08)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  4.0153e-12)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  2.4825e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zcent"
*********************************************************

Generating perturbed configuration with delta-zcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(zcent) check complete with        0 total errors (errmax=  2.7231e-08)
    d(Edge)/d(zcent) check complete with        0 total errors (errmax=  1.7040e-12)
    d(Node)/d(zcent) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "L"
*********************************************************

Generating perturbed configuration with delta-L[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(L) check complete with        0 total errors (errmax=  2.7231e-08)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  1.6368e-08)
    d(Node)/d(L) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "H"
*********************************************************

Generating perturbed configuration with delta-H[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(H) check complete with        0 total errors (errmax=  6.3717e-07)
iedge=   6, ipnt=   0: anal=   1.00010388    1.00115755    1.11699864, ptrb=   1.00000000    1.00100000    1.11713876, dist=   0.00023504 (at    1.00000000    1.00000000    1.11803399)
iedge=   6, ipnt=  31: anal=   1.00010388   -1.00115755    1.11699864, ptrb=   1.00000000   -1.00100000    1.11713876, dist=   0.00023504 (at    1.00000000   -1.00000000    1.11803399)
    d(Edge)/d(H) check complete with        2 total errors (errmax=  2.3504e-04)
    d(Node)/d(H) check complete with        0 total errors (errmax=  8.0563e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "W"
*********************************************************

Generating perturbed configuration with delta-W[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(W) check complete with        0 total errors (errmax=  5.9940e-07)
iedge=   1, ipnt=   0: anal=   1.00019116   -1.00028993   -1.11978713, ptrb=   1.00000000   -1.00000000   -1.12004565, dist=   0.00043294 (at    1.00000000   -1.00000000   -1.11803399)
iedge=   1, ipnt=  31: anal=   1.00019116    1.00028993   -1.11978713, ptrb=   1.00000000    1.00000000   -1.12004565, dist=   0.00043294 (at    1.00000000    1.00000000   -1.11803399)
iedge=   6, ipnt=   0: anal=   1.00019116    1.00028993    1.11978713, ptrb=   1.00000000    1.00000000    1.12004565, dist=   0.00043294 (at    1.00000000    1.00000000    1.11803399)
iedge=   6, ipnt=  31: anal=   1.00019116   -1.00028993    1.11978713, ptrb=   1.00000000   -1.00000000    1.12004565, dist=   0.00043294 (at    1.00000000   -1.00000000    1.11803399)
    d(Edge)/d(W) check complete with        4 total errors (errmax=  4.3294e-04)
    d(Node)/d(W) check complete with        0 total errors (errmax=  8.0354e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "t"
*********************************************************

Generating perturbed configuration with delta-t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(t) check complete with        0 total errors (errmax=  2.6309e-07)
    d(Edge)/d(t) check complete with        0 total errors (errmax=  2.5367e-07)
    d(Node)/d(t) check complete with        0 total errors (errmax=  1.5701e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.602 sec

Sensitivity checks complete with        6 total errors (max tessel err=  4.3294e-04) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design8.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xcent" for ibody=1
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ycent" for ibody=1
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zcent" for ibody=1
    d(Face)/d(zcent) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(zcent) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(zcent) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "L" for ibody=1
    d(Face)/d(L) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(L) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "H" for ibody=1
    d(Face)/d(H) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(H) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "W" for ibody=1
    d(Face)/d(W) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Node)/d(W) check complete with        0 total errors (errmax=  4.1133e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.006 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design8.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xcent"
*********************************************************

Generating perturbed configuration with delta-xcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ycent"
*********************************************************

Generating perturbed configuration with delta-ycent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zcent"
*********************************************************

Generating perturbed configuration with delta-zcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zcent) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(zcent) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(zcent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "L"
*********************************************************

Generating perturbed configuration with delta-L[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(L) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(L) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(L) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "H"
*********************************************************

Generating perturbed configuration with delta-H[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(H) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(H) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(H) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "W"
*********************************************************

Generating perturbed configuration with delta-W[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(W) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(W) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(W) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.257 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.2205e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design8d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xbeg1" for ibody=4
    d(Face)/d(xbeg1) check complete with        0 total errors (errmax=  3.6266e-09)
    d(Edge)/d(xbeg1) check complete with        0 total errors (errmax=  3.6262e-09)
    d(Node)/d(xbeg1) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "xend1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "xend1" for ibody=4
    d(Face)/d(xend1) check complete with        0 total errors (errmax=  4.1816e-10)
    d(Edge)/d(xend1) check complete with        0 total errors (errmax=  1.1102e-10)
    d(Node)/d(xend1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "y1" for ibody=4
    d(Face)/d(y1) check complete with        0 total errors (errmax=  1.2413e-09)
    d(Edge)/d(y1) check complete with        0 total errors (errmax=  1.3289e-06)
inode=   5, ipnt=   0 (Y): anal=   0.00000000,  fd=   1.00000000,  err=  -1.00000000 (at    1.28585716    0.00000000   -0.50000000)
    d(Node)/d(y1) check complete with        1 total errors (errmax=  1.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "z1" for ibody=4
    d(Face)/d(z1) check complete with        0 total errors (errmax=  1.8549e-06)
    d(Edge)/d(z1) check complete with        0 total errors (errmax=  1.5266e-06)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  1.3730e-06)
 

*********************************************************
Starting configuration sensitivity wrt "r1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "r1" for ibody=4
    d(Face)/d(r1) check complete with        0 total errors (errmax=  7.7668e-07)
    d(Edge)/d(r1) check complete with        0 total errors (errmax=  1.3990e-06)
    d(Node)/d(r1) check complete with        0 total errors (errmax=  1.3728e-06)
 

*********************************************************
Starting configuration sensitivity wrt "th1"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "th1" for ibody=4
    d(Face)/d(th1) check complete with        0 total errors (errmax=  1.1683e-08)
    d(Edge)/d(th1) check complete with        0 total errors (errmax=  1.5131e-08)
    d(Node)/d(th1) check complete with        0 total errors (errmax=  4.8866e-10)
 

*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "x2" for ibody=4
    d(Face)/d(x2) check complete with        0 total errors (errmax=  2.1215e-07)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  3.2396e-07)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "z2" for ibody=4
    d(Face)/d(z2) check complete with        0 total errors (errmax=  1.8634e-06)
    d(Edge)/d(z2) check complete with        0 total errors (errmax=  1.8071e-06)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  1.3728e-06)
 

*********************************************************
Starting configuration sensitivity wrt "r2"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "r2" for ibody=4
    d(Face)/d(r2) check complete with        0 total errors (errmax=  3.5136e-07)
    d(Edge)/d(r2) check complete with        0 total errors (errmax=  6.7249e-07)
    d(Node)/d(r2) check complete with        0 total errors (errmax=  6.7249e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.021 sec

Sensitivity checks complete with        1 tnotal errors (max config err=  1.0000e+00) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design8d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg1"
*********************************************************

Generating perturbed configuration with delta-xbeg1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xbeg1) check complete with        0 total errors (errmax=  2.9027e-08)
    d(Edge)/d(xbeg1) check complete with        0 total errors (errmax=  1.5531e-08)
    d(Node)/d(xbeg1) check complete with        0 total errors (errmax=  3.4694e-18)
 

*********************************************************
Starting tessellation sensitivity wrt "xend1"
*********************************************************

Generating perturbed configuration with delta-xend1[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(xend1) check complete with        0 total errors (errmax=  2.9027e-08)
    d(Edge)/d(xend1) check complete with        0 total errors (errmax=  1.5531e-08)
    d(Node)/d(xend1) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "y1"
*********************************************************

Generating perturbed configuration with delta-y1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(y1) check complete with        0 total errors (errmax=  1.0000e-06)
iedge=   6, ipnt=   3: anal=   1.28585716   -0.00000000   -0.50000000, ptrb=   1.28585715    0.00100000   -0.49999999, dist=   0.00100000 (at    1.28585716    0.00000000   -0.50000000)
    d(Edge)/d(y1) check complete with        1 total errors (errmax=  1.0000e-03)
inode=   5:            anal=   1.28585716    0.00000000   -0.50000000, ptrb=   1.28585716    0.00100000   -0.50000000, dist=   0.00100000 (at    1.28585716    0.00100000   -0.50000000)
    d(Node)/d(y1) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "z1"
*********************************************************

Generating perturbed configuration with delta-z1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(z1) check complete with        0 total errors (errmax=  9.8694e-07)
iedge=   6, ipnt=   0: anal=   1.22495659    0.25017858   -0.43190960, ptrb=   1.22504197    0.25000000   -0.43201270, dist=   0.00022319 (at    1.22585859    0.25000000   -0.43301270)
    d(Edge)/d(z1) check complete with        1 total errors (errmax=  2.2319e-04)
    d(Node)/d(z1) check complete with        0 total errors (errmax=  1.3709e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "r1"
*********************************************************

Generating perturbed configuration with delta-r1[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(r1) check complete with        0 total errors (errmax=  9.8039e-07)
    d(Edge)/d(r1) check complete with        0 total errors (errmax=  1.3747e-06)
    d(Node)/d(r1) check complete with        0 total errors (errmax=  1.3747e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "th1"
*********************************************************

Generating perturbed configuration with delta-th1[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(th1) check complete with        0 total errors (errmax=  1.6137e-07)
    d(Edge)/d(th1) check complete with        0 total errors (errmax=  1.8193e-07)
    d(Node)/d(th1) check complete with        0 total errors (errmax=  7.4837e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "x2"
*********************************************************

Generating perturbed configuration with delta-x2[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(x2) check complete with        0 total errors (errmax=  2.9027e-08)
    d(Edge)/d(x2) check complete with        0 total errors (errmax=  1.5531e-08)
    d(Node)/d(x2) check complete with        0 total errors (errmax=  1.1102e-15)
 

*********************************************************
Starting tessellation sensitivity wrt "z2"
*********************************************************

Generating perturbed configuration with delta-z2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(z2) check complete with        0 total errors (errmax=  9.8694e-07)
iedge=   7, ipnt=   0: anal=   1.22676060    0.24982142   -0.43311581, ptrb=   1.22667737    0.25000000   -0.43301270, dist=   0.00022237 (at    1.22585859    0.25000000   -0.43301270)
    d(Edge)/d(z2) check complete with        1 total errors (errmax=  2.2237e-04)
    d(Node)/d(z2) check complete with        0 total errors (errmax=  1.3747e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "r2"
*********************************************************

Generating perturbed configuration with delta-r2[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(r2) check complete with        0 total errors (errmax=  4.7991e-07)
    d(Edge)/d(r2) check complete with        0 total errors (errmax=  6.7135e-07)
    d(Node)/d(r2) check complete with        0 total errors (errmax=  6.7137e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.581 sec

Sensitivity checks complete with        4 total errors (max tessel err=  1.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/design9.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "fuse[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[1,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6218e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0650e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  9.5350e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[1,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.4382e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.9062e-07)
inode=   7, ipnt=   0 (X): anal=  -0.00568851,  fd=  -0.00556086,  err=  -0.00012765 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00010263,  fd=   0.00000000,  err=  -0.00010263 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.00591126,  fd=  -0.00556086,  err=  -0.00035039 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00198933,  fd=   0.00185362,  err=   0.00013571 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00028306,  fd=   0.00000000,  err=  -0.00028306 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  3.5039e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[1,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.3585e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.4598e-07)
inode=  15, ipnt=   0 (X): anal=  -0.00224681,  fd=  -0.00211362,  err=  -0.00013319 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00010759,  fd=   0.00000000,  err=  -0.00010759 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.3319e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[1,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.3458e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.2818e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  5.8104e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[2,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.1515e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.1515e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.5277e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[2,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[2,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.5238e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.4077e-06)
inode=   7, ipnt=   0 (X): anal=   0.02050908,  fd=   0.02004887,  err=   0.00046021 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.00686035,  fd=   0.00668296,  err=   0.00017740 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00037003,  fd=   0.00000000,  err=   0.00037003 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.02131216,  fd=   0.02004887,  err=   0.00126329 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00717222,  fd=  -0.00668296,  err=  -0.00048927 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00102052,  fd=   0.00000000,  err=   0.00102052 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.2633e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[2,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[2,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.5993e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.4590e-07)
inode=   7, ipnt=   0 (X): anal=   0.00806469,  fd=   0.00788370,  err=   0.00018098 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00014550,  fd=   0.00000000,  err=   0.00014550 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.00838048,  fd=   0.00788370,  err=   0.00049677 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00282030,  fd=  -0.00262790,  err=  -0.00019240 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00040129,  fd=   0.00000000,  err=   0.00040129 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  4.9677e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[2,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[2,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.5993e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.2432e-07)
inode=  15, ipnt=   0 (X): anal=   0.00327008,  fd=   0.00307626,  err=   0.00019382 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00015659,  fd=   0.00000000,  err=   0.00015659 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.9382e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[3,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.9610e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.9568e-07)
inode=  15, ipnt=   0 (X): anal=   0.00444839,  fd=   0.00418471,  err=   0.00026368 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00149703,  fd=  -0.00139490,  err=  -0.00010212 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00021301,  fd=   0.00000000,  err=   0.00021301 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        3 total errors (errmax=  2.6368e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[3,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[3,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.8442e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.2155e-06)
inode=   7, ipnt=   0 (X): anal=  -0.07587951,  fd=  -0.07417683,  err=  -0.00170268 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.02538194,  fd=  -0.02472561,  err=  -0.00065633 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00136902,  fd=   0.00000000,  err=  -0.00136902 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.07885075,  fd=  -0.07417683,  err=  -0.00467392 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.02653580,  fd=   0.02472561,  err=   0.00181019 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00377571,  fd=   0.00000000,  err=  -0.00377571 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  4.6739e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[3,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[3,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.0601e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.0038e-06)
inode=   7, ipnt=   0 (X): anal=  -0.02956383,  fd=  -0.02890039,  err=  -0.00066345 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00988920,  fd=  -0.00963346,  err=  -0.00025573 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00053339,  fd=   0.00000000,  err=  -0.00053339 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.03072148,  fd=  -0.02890039,  err=  -0.00182109 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.01033876,  fd=   0.00963346,  err=   0.00070530 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00147107,  fd=   0.00000000,  err=  -0.00147107 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.8211e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[3,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[3,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.0592e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.7490e-07)
inode=   7, ipnt=   0 (X): anal=  -0.01084752,  fd=  -0.01060416,  err=  -0.00024335 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00019571,  fd=   0.00000000,  err=  -0.00019571 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.01127228,  fd=  -0.01060416,  err=  -0.00066811 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00379348,  fd=   0.00353472,  err=   0.00025876 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00053976,  fd=   0.00000000,  err=  -0.00053976 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  6.6811e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[4,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.9515e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0163e-06)
inode=   7, ipnt=   0 (X): anal=  -0.01473729,  fd=  -0.01440661,  err=  -0.00033069 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00492967,  fd=  -0.00480220,  err=  -0.00012747 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00026589,  fd=   0.00000000,  err=  -0.00026589 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.01531437,  fd=  -0.01440661,  err=  -0.00090776 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00515377,  fd=   0.00480220,  err=   0.00035157 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00073332,  fd=   0.00000000,  err=  -0.00073332 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  9.0776e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[4,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[4,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.1470e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.9831e-05)
inode=   7, ipnt=   0 (X): anal=   0.29012579,  fd=   0.28361537,  err=   0.00651043 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.09704800,  fd=   0.09453846,  err=   0.00250954 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00523447,  fd=   0.00000000,  err=   0.00523447 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.30148635,  fd=   0.28361537,  err=   0.01787098 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.10145980,  fd=  -0.09453846,  err=  -0.00692135 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.01443644,  fd=   0.00000000,  err=   0.01443644 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.7871e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[4,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[4,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.3086e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.6383e-06)
inode=   7, ipnt=   0 (X): anal=   0.11322230,  fd=   0.11068139,  err=   0.00254091 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.03787322,  fd=   0.03689380,  err=   0.00097942 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00204276,  fd=   0.00000000,  err=   0.00204276 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.11765578,  fd=   0.11068139,  err=   0.00697439 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.03959494,  fd=  -0.03689380,  err=  -0.00270114 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00563386,  fd=   0.00000000,  err=   0.00563386 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  6.9744e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[4,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[4,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.3087e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.0612e-06)
inode=   7, ipnt=   0 (X): anal=   0.04296207,  fd=   0.04199824,  err=   0.00096382 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.01437095,  fd=   0.01399941,  err=   0.00037153 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00077512,  fd=   0.00000000,  err=   0.00077512 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.04464435,  fd=   0.04199824,  err=   0.00264610 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.01502425,  fd=  -0.01399941,  err=  -0.00102484 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00213776,  fd=   0.00000000,  err=   0.00213776 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  2.6461e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[5,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.3722e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.0479e-06)
inode=   7, ipnt=   0 (X): anal=   0.02986186,  fd=   0.02919177,  err=   0.00067009 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.00998889,  fd=   0.00973059,  err=   0.00025830 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00053877,  fd=   0.00000000,  err=   0.00053877 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.03103117,  fd=   0.02919177,  err=   0.00183940 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.01044298,  fd=  -0.00973059,  err=  -0.00071239 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00148590,  fd=   0.00000000,  err=   0.00148590 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.8394e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[5,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[5,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.9648e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  8.8513e-05)
inode=   7, ipnt=   0 (X): anal=  -1.25730104,  fd=  -1.22909228,  err=  -0.02820876 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.42057119,  fd=  -0.40969743,  err=  -0.01087376 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.02268431,  fd=   0.00000000,  err=  -0.02268431 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -1.30653362,  fd=  -1.22909228,  err=  -0.07744133 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.43969037,  fd=   0.40969743,  err=   0.02999294 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.06256236,  fd=   0.00000000,  err=  -0.06256236 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  7.7441e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[5,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[5,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.3891e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.3903e-05)
inode=   7, ipnt=   0 (X): anal=  -0.49245893,  fd=  -0.48140862,  err=  -0.01105030 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.16472907,  fd=  -0.16046954,  err=  -0.00425953 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00888498,  fd=   0.00000000,  err=  -0.00888498 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.51174231,  fd=  -0.48140862,  err=  -0.03033369 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.17221766,  fd=   0.16046954,  err=   0.01174812 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.02450439,  fd=   0.00000000,  err=  -0.02450439 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  3.0334e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[5,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[5,4]" for ibody=84
iface=   3, ipnt= 350 (Y): anal=  -0.00000478,  fd=   0.00017596,  err=  -0.00018074 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=  -0.00000450,  fd=  -0.00019147,  err=   0.00018697 (at   12.24088183   -0.28382285    0.20438432)
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775823,  err=  -0.00775823 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467044,  err=  -0.00467044 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       29 total errors (errmax=  6.3730e-02)
iedge=  22, ipnt=   1 (X): anal=   0.00000229,  fd=  -0.00136012,  err=   0.00136241 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=   0.00000247,  fd=  -0.00665955,  err=   0.00666202 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=  -0.00000446,  fd=   0.00050986,  err=  -0.00051432 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=  -0.00000068,  fd=  -0.00170538,  err=   0.00170470 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=   0.00000238,  fd=   0.08834332,  err=  -0.08834094 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=  -0.00000481,  fd=  -0.01711922,  err=   0.01711441 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=   0.00000009,  fd=   0.05432433,  err=  -0.05432424 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=   0.00000199,  fd=   0.01595791,  err=  -0.01595592 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=  -0.00000507,  fd=  -0.00522913,  err=   0.00522406 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=   0.00000056,  fd=   0.01606935,  err=  -0.01606879 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  8.8341e-02)
inode=   7, ipnt=   0 (X): anal=  -0.18952476,  fd=  -0.18527297,  err=  -0.00425178 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.06339663,  fd=  -0.06175766,  err=  -0.00163897 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00341942,  fd=   0.00000000,  err=  -0.00341942 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.19694605,  fd=  -0.18527297,  err=  -0.01167307 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.06627865,  fd=   0.06175766,  err=   0.00452099 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00943061,  fd=   0.00000000,  err=  -0.00943061 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.1673e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[6,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[6,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.8998e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0913e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  5.6650e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[6,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[6,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.9746e-06)
iedge=  10, ipnt=  53 (X): anal=  -0.72209470,  fd=  -0.72196787,  err=  -0.00012683 (at    5.60398146    0.53466049    0.20000000)
iedge=  10, ipnt=  53 (Z): anal=   0.97620651,  fd=   0.97607992,  err=   0.00012659 (at    5.60398146    0.53466049    0.20000000)
iedge=  18, ipnt=  40 (X): anal=  -0.71798737,  fd=  -0.71811955,  err=   0.00013219 (at    5.60398146   -0.53466049    0.20000000)
iedge=  18, ipnt=  40 (Z): anal=   0.97505234,  fd=   0.97518466,  err=  -0.00013232 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(fuse) check complete with        4 total errors (errmax=  1.3232e-04)
inode=   7, ipnt=   0 (X): anal=  -1.97257160,  fd=  -1.92830212,  err=  -0.04426948 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.65983146,  fd=  -0.64276737,  err=  -0.01706409 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.03558927,  fd=   0.00000000,  err=  -0.03558927 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -2.04981228,  fd=  -1.92830212,  err=  -0.12151016 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.68982742,  fd=   0.64276737,  err=   0.04706005 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.09815369,  fd=   0.00000000,  err=  -0.09815369 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.2151e-01)

*********************************************************
Starting configuration sensitivity wrt "fuse[6,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[6,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.2902e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.2482e-05)
inode=   7, ipnt=   0 (X): anal=  -0.77360885,  fd=  -0.75624828,  err=  -0.01736057 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.25877462,  fd=  -0.25208276,  err=  -0.00669186 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.01395750,  fd=   0.00000000,  err=  -0.01395750 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.80390132,  fd=  -0.75624828,  err=  -0.04765305 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.27053852,  fd=   0.25208276,  err=   0.01845576 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.03849420,  fd=   0.00000000,  err=  -0.03849420 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  4.7653e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[6,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[6,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.2877e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.0951e-05)
inode=   7, ipnt=   0 (X): anal=  -0.29554332,  fd=  -0.28891281,  err=  -0.00663051 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.09886018,  fd=  -0.09630427,  err=  -0.00255591 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00533221,  fd=   0.00000000,  err=  -0.00533221 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.30711601,  fd=  -0.28891281,  err=  -0.01820320 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.10335436,  fd=   0.09630427,  err=   0.00705010 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.01470601,  fd=   0.00000000,  err=  -0.01470601 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.8203e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[7,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[7,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6132e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  8.3799e-07)
inode=   7, ipnt=   0 (X): anal=  -0.01216705,  fd=  -0.01189403,  err=  -0.00027302 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00406992,  fd=  -0.00396468,  err=  -0.00010524 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00021952,  fd=   0.00000000,  err=  -0.00021952 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.01264348,  fd=  -0.01189404,  err=  -0.00074945 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00425494,  fd=   0.00396468,  err=   0.00029026 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00060542,  fd=   0.00000000,  err=  -0.00060542 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  7.4945e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[7,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[7,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.8653e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.5383e-05)
inode=   7, ipnt=   0 (X): anal=   0.36948742,  fd=   0.36119637,  err=   0.00829105 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.12359472,  fd=   0.12039879,  err=   0.00319592 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00666632,  fd=   0.00000000,  err=   0.00666632 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.38395557,  fd=   0.36119637,  err=   0.02275920 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.12921334,  fd=  -0.12039879,  err=  -0.00881454 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.01838542,  fd=   0.00000000,  err=   0.01838542 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  2.2759e-02)

*********************************************************
Starting configuration sensitivity wrt "fuse[7,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[7,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.4693e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.8022e-06)
inode=   7, ipnt=   0 (X): anal=   0.14512019,  fd=   0.14186346,  err=   0.00325673 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.04854316,  fd=   0.04728782,  err=   0.00125534 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00261827,  fd=   0.00000000,  err=   0.00261827 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.15080271,  fd=   0.14186346,  err=   0.00893925 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.05074994,  fd=  -0.04728782,  err=  -0.00346212 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00722107,  fd=   0.00000000,  err=   0.00722107 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  8.9393e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[7,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[7,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.4844e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.3578e-06)
inode=   7, ipnt=   0 (X): anal=   0.05597948,  fd=   0.05472362,  err=   0.00125586 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.01872531,  fd=   0.01824121,  err=   0.00048411 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00100999,  fd=   0.00000000,  err=   0.00100999 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.05817149,  fd=   0.05472362,  err=   0.00344786 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.01957657,  fd=  -0.01824121,  err=  -0.00133536 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00278550,  fd=   0.00000000,  err=   0.00278550 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  3.4479e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[8,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[8,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6816e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0737e-06)
inode=   7, ipnt=   0 (X): anal=   0.01032176,  fd=   0.01009014,  err=   0.00023162 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00018623,  fd=   0.00000000,  err=   0.00018623 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.01072594,  fd=   0.01009014,  err=   0.00063579 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00360962,  fd=  -0.00336338,  err=  -0.00024624 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00051360,  fd=   0.00000000,  err=   0.00051360 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  6.3579e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[8,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[8,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.2400e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.7862e-06)
inode=   7, ipnt=   0 (X): anal=  -0.09889299,  fd=  -0.09667388,  err=  -0.00221911 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.03308002,  fd=  -0.03222463,  err=  -0.00085539 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00178423,  fd=   0.00000000,  err=  -0.00178423 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.10276537,  fd=  -0.09667388,  err=  -0.00609149 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.03458384,  fd=   0.03222463,  err=   0.00235921 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00492084,  fd=   0.00000000,  err=  -0.00492084 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  6.0915e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[8,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[8,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.5255e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.7884e-06)
inode=   7, ipnt=   0 (X): anal=  -0.03909084,  fd=  -0.03821359,  err=  -0.00087725 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.01307601,  fd=  -0.01273786,  err=  -0.00033815 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00070528,  fd=   0.00000000,  err=  -0.00070528 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.04062153,  fd=  -0.03821359,  err=  -0.00240794 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.01367044,  fd=   0.01273786,  err=   0.00093258 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00194513,  fd=   0.00000000,  err=  -0.00194513 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  2.4079e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[8,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[8,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.5308e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0578e-05)
inode=   7, ipnt=   0 (X): anal=  -0.01529063,  fd=  -0.01494759,  err=  -0.00034304 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00511476,  fd=  -0.00498253,  err=  -0.00013223 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00027587,  fd=   0.00000000,  err=  -0.00027587 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -0.01588937,  fd=  -0.01494759,  err=  -0.00094178 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00534728,  fd=   0.00498253,  err=   0.00036475 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00076085,  fd=   0.00000000,  err=  -0.00076085 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  9.4178e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[9,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[9,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.2528e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  8.8230e-07)
inode=  15, ipnt=   0 (X): anal=  -0.00231107,  fd=  -0.00217408,  err=  -0.00013699 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00011066,  fd=   0.00000000,  err=  -0.00011066 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.3699e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[9,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[9,2]" for ibody=84
iface=   3, ipnt= 350 (Y): anal=  -0.00721312,  fd=  -0.00703239,  err=  -0.00018074 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=  -0.00720847,  fd=  -0.00739544,  err=   0.00018697 (at   12.24088183   -0.28382285    0.20438432)
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775823,  err=  -0.00775823 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467044,  err=  -0.00467044 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       29 total errors (errmax=  6.3730e-02)
iedge=  22, ipnt=   1 (X): anal=   0.00396679,  fd=   0.00260433,  err=   0.00136246 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=   0.00422330,  fd=  -0.00243870,  err=   0.00666200 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=  -0.00762646,  fd=  -0.00711214,  err=  -0.00051432 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=  -0.00115362,  fd=  -0.00285831,  err=   0.00170469 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=   0.00397568,  fd=   0.09231661,  err=  -0.08834093 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=  -0.00802211,  fd=  -0.02513652,  err=   0.01711441 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=   0.00014386,  fd=   0.05446809,  err=  -0.05432424 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=   0.00325461,  fd=   0.01921050,  err=  -0.01595589 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=  -0.00828821,  fd=  -0.01351226,  err=   0.00522405 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=   0.00091345,  fd=   0.01698220,  err=  -0.01606875 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  8.8341e-02)
inode=   7, ipnt=   0 (X): anal=   0.02654675,  fd=   0.02595106,  err=   0.00059570 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.00887997,  fd=   0.00865035,  err=   0.00022962 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00047896,  fd=   0.00000000,  err=   0.00047896 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.02758625,  fd=   0.02595106,  err=   0.00163520 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00928366,  fd=  -0.00865035,  err=  -0.00063330 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00132095,  fd=   0.00000000,  err=   0.00132095 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.6352e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[9,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[9,3]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.4225e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.2614e-05)
inode=   7, ipnt=   0 (X): anal=   0.01046887,  fd=   0.01023393,  err=   0.00023494 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00018888,  fd=   0.00000000,  err=   0.00018888 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.01087880,  fd=   0.01023393,  err=   0.00064487 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00366107,  fd=  -0.00341131,  err=  -0.00024975 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00052092,  fd=   0.00000000,  err=   0.00052092 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  6.4487e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[9,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[9,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.4319e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.6366e-05)
inode=  15, ipnt=   0 (X): anal=   0.00421721,  fd=   0.00396725,  err=   0.00024996 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.00020194,  fd=   0.00000000,  err=   0.00020194 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  2.4996e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[10,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[10,1]" for ibody=84
iface=   3, ipnt= 350 (Y): anal=  -0.00077891,  fd=  -0.00059817,  err=  -0.00018074 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=  -0.00077841,  fd=  -0.00096538,  err=   0.00018697 (at   12.24088183   -0.28382285    0.20438432)
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775823,  err=  -0.00775823 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467044,  err=  -0.00467044 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       29 total errors (errmax=  6.3730e-02)
iedge=  22, ipnt=   1 (X): anal=   0.00042836,  fd=  -0.00093406,  err=   0.00136242 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=   0.00045606,  fd=  -0.00620596,  err=   0.00666202 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=  -0.00082355,  fd=  -0.00030923,  err=  -0.00051432 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=  -0.00012458,  fd=  -0.00182927,  err=   0.00170470 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=   0.00042932,  fd=   0.08877025,  err=  -0.08834093 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=  -0.00086628,  fd=  -0.01798068,  err=   0.01711441 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=   0.00001553,  fd=   0.05433977,  err=  -0.05432424 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=   0.00035145,  fd=   0.01630737,  err=  -0.01595592 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=  -0.00089501,  fd=  -0.00611907,  err=   0.00522406 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=   0.00009864,  fd=   0.01616742,  err=  -0.01606878 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  8.8341e-02)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.3598e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[10,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[10,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.6708e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.6196e-06)
inode=   7, ipnt=   0 (X): anal=  -0.00713405,  fd=  -0.00697396,  err=  -0.00016008 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.00012871,  fd=   0.00000000,  err=  -0.00012871 (at    5.60398146    0.53466049    0.20000000)
inode=  11, ipnt=   0 (Z): anal=  -0.00147936,  fd=  -0.00160226,  err=   0.00012289 (at   12.23391938    0.28719104    0.21505104)
inode=  15, ipnt=   0 (X): anal=  -0.00741340,  fd=  -0.00697396,  err=  -0.00043943 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.00249485,  fd=   0.00232465,  err=   0.00017019 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00035498,  fd=   0.00000000,  err=  -0.00035498 (at    5.60398146   -0.53466049    0.20000000)
inode=  19, ipnt=   0 (Z): anal=  -0.00149856,  fd=  -0.00160225,  err=   0.00010370 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        7 total errors (errmax=  4.3943e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[10,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[10,3]" for ibody=84
iface=   3, ipnt= 350 (Y): anal=   0.00713794,  fd=   0.00731869,  err=  -0.00018076 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=   0.00634160,  fd=   0.00615464,  err=   0.00018696 (at   12.24088183   -0.28382285    0.20438432)
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775822,  err=  -0.00775822 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467045,  err=  -0.00467045 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       29 total errors (errmax=  6.3730e-02)
iedge=  22, ipnt=   1 (X): anal=  -0.00301887,  fd=  -0.00438126,  err=   0.00136239 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=  -0.00328964,  fd=  -0.00995169,  err=   0.00666205 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=   0.00594046,  fd=   0.00645480,  err=  -0.00051434 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=   0.00089858,  fd=  -0.00080612,  err=   0.00170470 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=  -0.00323988,  fd=   0.08510110,  err=  -0.08834097 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=   0.00653740,  fd=  -0.01057700,  err=   0.01711440 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=  -0.00011723,  fd=   0.05420703,  err=  -0.05432427 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=  -0.00275796,  fd=   0.01319799,  err=  -0.01595595 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=   0.00702342,  fd=   0.00179936,  err=   0.00522405 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=  -0.00077405,  fd=   0.01529476,  err=  -0.01606882 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  8.8341e-02)
inode=  15, ipnt=   0 (X): anal=  -0.00291844,  fd=  -0.00274545,  err=  -0.00017300 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.00013975,  fd=   0.00000000,  err=  -0.00013975 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.7300e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[10,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[10,4]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.6707e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.7193e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.6253e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[11,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[11,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.5212e-08)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.9094e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.3379e-06)

*********************************************************
Starting configuration sensitivity wrt "fuse[11,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[11,2]" for ibody=84
iface=   3, ipnt= 350 (Y): anal=  -0.10152842,  fd=  -0.10134771,  err=  -0.00018071 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=  -0.10146321,  fd=  -0.10165019,  err=   0.00018698 (at   12.24088183   -0.28382285    0.20438432)
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775824,  err=  -0.00775824 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467044,  err=  -0.00467044 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       29 total errors (errmax=  6.3730e-02)
iedge=  22, ipnt=   1 (X): anal=   0.05583528,  fd=   0.05447223,  err=   0.00136305 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=   0.05944570,  fd=   0.05278407,  err=   0.00666163 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=  -0.10734749,  fd=  -0.10683321,  err=  -0.00051428 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=  -0.01623794,  fd=  -0.01794255,  err=   0.00170461 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=   0.05596021,  fd=   0.14430105,  err=  -0.08834084 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=  -0.11291611,  fd=  -0.13003054,  err=   0.01711443 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=   0.00202490,  fd=   0.05634907,  err=  -0.05432417 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=   0.04581061,  fd=   0.06176609,  err=  -0.01595549 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=  -0.11666137,  fd=  -0.12188531,  err=   0.00522394 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=   0.01285732,  fd=   0.02892566,  err=  -0.01606834 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  8.8341e-02)
inode=  11, ipnt=   0 (Y): anal=   0.11424319,  fd=   0.11437869,  err=  -0.00013551 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=   0.00553456,  fd=   0.00599433,  err=  -0.00045977 (at   12.23391938    0.28719104    0.21505104)
inode=  15, ipnt=   0 (X): anal=   0.00200075,  fd=   0.00188216,  err=   0.00011860 (at    5.60398146   -0.53466049    0.20000000)
inode=  19, ipnt=   0 (Y): anal=  -0.11426436,  fd=  -0.11437869,  err=   0.00011433 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=   0.00560638,  fd=   0.00599433,  err=  -0.00038795 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  4.5977e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[11,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[11,3]" for ibody=84
iface=   2, ipnt= 185 (Z): anal=   0.00026702,  fd=   0.00013779,  err=   0.00012924 (at   11.30573922    0.00777666    0.59927424)
iface=   2, ipnt= 186 (Z): anal=   0.00057730,  fd=   0.00038700,  err=   0.00019030 (at   11.31891233    0.01315229    0.59908220)
iface=   2, ipnt= 187 (Z): anal=   0.00152576,  fd=   0.00127873,  err=   0.00024702 (at   11.37565610    0.02494067    0.59832901)
iface=   2, ipnt= 188 (Z): anal=   0.00234057,  fd=   0.00211981,  err=   0.00022076 (at   11.46315918    0.03473230    0.59738571)
iface=   2, ipnt= 189 (Z): anal=   0.00258296,  fd=   0.00243069,  err=   0.00015227 (at   11.58846849    0.04315699    0.59639277)
iface=   2, ipnt= 190 (Z): anal=   0.00232557,  fd=   0.00221429,  err=   0.00011129 (at   11.66839445    0.04672756    0.59594419)
iface=   2, ipnt= 412 (Z): anal=   0.00669702,  fd=   0.00647117,  err=   0.00022585 (at   11.25943566    0.05260079    0.59482658)
iface=   3, ipnt= 227 (Z): anal=   0.00234267,  fd=   0.00222961,  err=   0.00011305 (at   11.66473240   -0.04658645    0.59596194)
iface=   3, ipnt= 228 (Z): anal=   0.00258325,  fd=   0.00243087,  err=   0.00015238 (at   11.58827800   -0.04314713    0.59639400)
iface=   3, ipnt= 229 (Z): anal=   0.00257197,  fd=   0.00238337,  err=   0.00018861 (at   11.52289531   -0.03929121    0.59686455)
iface=   3, ipnt= 230 (Z): anal=   0.00202002,  fd=   0.00178059,  err=   0.00023942 (at   11.42027700   -0.03056415    0.59781930)
iface=   3, ipnt= 231 (Z): anal=   0.00112697,  fd=   0.00088978,  err=   0.00023719 (at   11.34847476   -0.02037240    0.59867353)
iface=   3, ipnt= 232 (Z): anal=   0.00048374,  fd=   0.00030777,  err=   0.00017597 (at   11.31475131   -0.01169495    0.59914381)
iface=   3, ipnt= 233 (Z): anal=   0.00019636,  fd=   0.00008889,  err=   0.00010747 (at   11.30344389   -0.00623630    0.59931113)
iface=   3, ipnt= 413 (Z): anal=   0.00671192,  fd=   0.00648651,  err=   0.00022541 (at   11.25951861   -0.05266702    0.59481489)
iface=   3, ipnt= 417 (Z): anal=   0.00103798,  fd=   0.00078824,  err=   0.00024974 (at   11.25637448   -0.01811778    0.59886979)
    d(Face)/d(fuse) check complete with       16 total errors (errmax=  2.4974e-04)
iedge=   6, ipnt=   3 (Z): anal=   0.00027008,  fd=   0.00013937,  err=   0.00013072 (at   11.30573922    0.00777666    0.59927424)
iedge=   6, ipnt=   4 (Z): anal=   0.00058577,  fd=   0.00039268,  err=   0.00019309 (at   11.31891233    0.01315229    0.59908220)
iedge=   6, ipnt=   5 (Z): anal=   0.00155455,  fd=   0.00130287,  err=   0.00025169 (at   11.37565610    0.02494067    0.59832901)
iedge=   6, ipnt=   6 (Z): anal=   0.00239623,  fd=   0.00217022,  err=   0.00022601 (at   11.46315918    0.03473230    0.59738571)
iedge=   6, ipnt=   7 (Z): anal=   0.00265839,  fd=   0.00250167,  err=   0.00015672 (at   11.58846849    0.04315699    0.59639277)
iedge=   6, ipnt=   8 (Z): anal=   0.00239951,  fd=   0.00228469,  err=   0.00011482 (at   11.66839445    0.04672756    0.59594419)
iedge=  15, ipnt=  24 (Z): anal=   0.00241690,  fd=   0.00230027,  err=   0.00011663 (at   11.66473240   -0.04658645    0.59596194)
iedge=  15, ipnt=  25 (Z): anal=   0.00265867,  fd=   0.00250185,  err=   0.00015682 (at   11.58827800   -0.04314713    0.59639400)
iedge=  15, ipnt=  26 (Z): anal=   0.00264035,  fd=   0.00244673,  err=   0.00019362 (at   11.52289531   -0.03929121    0.59686455)
iedge=  15, ipnt=  27 (Z): anal=   0.00206345,  fd=   0.00181888,  err=   0.00024457 (at   11.42027700   -0.03056415    0.59781930)
iedge=  15, ipnt=  28 (Z): anal=   0.00114617,  fd=   0.00090494,  err=   0.00024123 (at   11.34847476   -0.02037240    0.59867353)
iedge=  15, ipnt=  29 (Z): anal=   0.00049044,  fd=   0.00031203,  err=   0.00017841 (at   11.31475131   -0.01169495    0.59914381)
iedge=  15, ipnt=  30 (Z): anal=   0.00019833,  fd=   0.00008979,  err=   0.00010855 (at   11.30344389   -0.00623630    0.59931113)
    d(Edge)/d(fuse) check complete with       13 total errors (errmax=  2.5169e-04)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  9.0697e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[11,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[11,4]" for ibody=84
iface=   2, ipnt= 185 (Z): anal=   0.82741059,  fd=   0.82753899,  err=  -0.00012840 (at   11.30573922    0.00777666    0.59927424)
iface=   2, ipnt= 186 (Z): anal=   0.81262915,  fd=   0.81281859,  err=  -0.00018945 (at   11.31891233    0.01315229    0.59908220)
iface=   2, ipnt= 187 (Z): anal=   0.74609788,  fd=   0.74634398,  err=  -0.00024610 (at   11.37565610    0.02494067    0.59832901)
iface=   2, ipnt= 188 (Z): anal=   0.63601729,  fd=   0.63623708,  err=  -0.00021979 (at   11.46315918    0.03473230    0.59738571)
iface=   2, ipnt= 189 (Z): anal=   0.46985942,  fd=   0.47001072,  err=  -0.00015131 (at   11.58846849    0.04315699    0.59639277)
iface=   2, ipnt= 190 (Z): anal=   0.36374911,  fd=   0.36385948,  err=  -0.00011037 (at   11.66839445    0.04672756    0.59594419)
iface=   2, ipnt= 412 (Z): anal=   0.83979315,  fd=   0.84001839,  err=  -0.00022524 (at   11.25943566    0.05260079    0.59482658)
iface=   3, ipnt= 227 (Z): anal=   0.36855339,  fd=   0.36866552,  err=  -0.00011213 (at   11.66473240   -0.04658645    0.59596194)
iface=   3, ipnt= 228 (Z): anal=   0.47011422,  fd=   0.47026563,  err=  -0.00015141 (at   11.58827800   -0.04314713    0.59639400)
iface=   3, ipnt= 229 (Z): anal=   0.55744537,  fd=   0.55763300,  err=  -0.00018763 (at   11.52289531   -0.03929121    0.59686455)
iface=   3, ipnt= 230 (Z): anal=   0.69091616,  fd=   0.69115462,  err=  -0.00023846 (at   11.42027700   -0.03056415    0.59781930)
iface=   3, ipnt= 231 (Z): anal=   0.77852381,  fd=   0.77876011,  err=  -0.00023630 (at   11.34847476   -0.02037240    0.59867353)
iface=   3, ipnt= 232 (Z): anal=   0.81733591,  fd=   0.81751104,  err=  -0.00017513 (at   11.31475131   -0.01169495    0.59914381)
iface=   3, ipnt= 233 (Z): anal=   0.82998592,  fd=   0.83009256,  err=  -0.00010664 (at   11.30344389   -0.00623630    0.59931113)
iface=   3, ipnt= 350 (Y): anal=  -0.01298651,  fd=  -0.01280571,  err=  -0.00018080 (at   12.25797382   -0.28105546    0.19654539)
iface=   3, ipnt= 351 (Y): anal=  -0.01223559,  fd=  -0.01242249,  err=   0.00018691 (at   12.24088183   -0.28382285    0.20438432)
iface=   3, ipnt= 413 (Z): anal=   0.83964049,  fd=   0.83986529,  err=  -0.00022481 (at   11.25951861   -0.05266702    0.59481489)
...too many errors to list
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075109,  err=  -0.00075109 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775822,  err=  -0.00775822 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876313,  err=   0.00876313 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467045,  err=  -0.00467045 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       45 total errors (errmax=  6.3730e-02)
iedge=   6, ipnt=   3 (Z): anal=   0.83688985,  fd=   0.83701859,  err=  -0.00012875 (at   11.30573922    0.00777666    0.59927424)
iedge=   6, ipnt=   4 (Z): anal=   0.82454827,  fd=   0.82474083,  err=  -0.00019255 (at   11.31891233    0.01315229    0.59908220)
iedge=   6, ipnt=   5 (Z): anal=   0.76017836,  fd=   0.76042900,  err=  -0.00025064 (at   11.37565610    0.02494067    0.59832901)
iedge=   6, ipnt=   6 (Z): anal=   0.65114165,  fd=   0.65136667,  err=  -0.00022502 (at   11.46315918    0.03473230    0.59738571)
iedge=   6, ipnt=   7 (Z): anal=   0.48358126,  fd=   0.48373699,  err=  -0.00015573 (at   11.58846849    0.04315699    0.59639277)
iedge=   6, ipnt=   8 (Z): anal=   0.37531415,  fd=   0.37542805,  err=  -0.00011389 (at   11.66839445    0.04672756    0.59594419)
iedge=  15, ipnt=  24 (Z): anal=   0.38023253,  fd=   0.38034818,  err=  -0.00011565 (at   11.66473240   -0.04658645    0.59596194)
iedge=  15, ipnt=  25 (Z): anal=   0.48384024,  fd=   0.48399607,  err=  -0.00015583 (at   11.58827800   -0.04314713    0.59639400)
iedge=  15, ipnt=  26 (Z): anal=   0.57226574,  fd=   0.57245858,  err=  -0.00019283 (at   11.52289531   -0.03929121    0.59686455)
iedge=  15, ipnt=  27 (Z): anal=   0.70577264,  fd=   0.70601603,  err=  -0.00024339 (at   11.42027700   -0.03056415    0.59781930)
iedge=  15, ipnt=  28 (Z): anal=   0.79179213,  fd=   0.79203173,  err=  -0.00023960 (at   11.34847476   -0.02037240    0.59867353)
iedge=  15, ipnt=  29 (Z): anal=   0.82865749,  fd=   0.82883507,  err=  -0.00017758 (at   11.31475131   -0.01169495    0.59914381)
iedge=  15, ipnt=  30 (Z): anal=   0.83831911,  fd=   0.83842588,  err=  -0.00010677 (at   11.30344389   -0.00623630    0.59931113)
iedge=  22, ipnt=   1 (X): anal=   0.00623226,  fd=   0.00486975,  err=   0.00136251 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=   0.00672037,  fd=   0.00005835,  err=   0.00666202 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=  -0.01213569,  fd=  -0.01162132,  err=  -0.00051438 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=  -0.00183571,  fd=  -0.00354039,  err=   0.00170468 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=   0.00648258,  fd=   0.09482355,  err=  -0.08834097 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=  -0.01308051,  fd=  -0.03019486,  err=   0.01711436 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=   0.00023457,  fd=   0.05455885,  err=  -0.05432428 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=   0.00541779,  fd=   0.02137364,  err=  -0.01595585 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=  -0.01379695,  fd=  -0.01902093,  err=   0.00522398 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=   0.00152057,  fd=   0.01758931,  err=  -0.01606874 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       39 total errors (errmax=  8.8341e-02)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  5.0647e-05)

*********************************************************
Starting configuration sensitivity wrt "fuse[12,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[12,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.4301e-08)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.9905e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.4333e-06)

*********************************************************
Starting configuration sensitivity wrt "fuse[12,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[12,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.5781e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.4244e-05)
inode=  11, ipnt=   0 (X): anal=  -0.40273684,  fd=  -0.40316852,  err=   0.00043169 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Y): anal=  -0.86357319,  fd=  -0.86459769,  err=   0.00102450 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.04183618,  fd=  -0.04531164,  err=   0.00347547 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (X): anal=  -0.40275523,  fd=  -0.40316852,  err=   0.00041329 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=   0.86373322,  fd=   0.86459769,  err=  -0.00086447 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.04237906,  fd=  -0.04531164,  err=   0.00293259 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  3.4755e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[12,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[12,3]" for ibody=84
iface=   2, ipnt= 187 (Z): anal=   0.00088797,  fd=   0.00074421,  err=   0.00014376 (at   11.37565610    0.02494067    0.59832901)
iface=   2, ipnt= 188 (Z): anal=   0.00201106,  fd=   0.00182138,  err=   0.00018968 (at   11.46315918    0.03473230    0.59738571)
iface=   2, ipnt= 189 (Z): anal=   0.00383276,  fd=   0.00360681,  err=   0.00022595 (at   11.58846849    0.04315699    0.59639277)
iface=   2, ipnt= 190 (Z): anal=   0.00499960,  fd=   0.00476035,  err=   0.00023925 (at   11.66839445    0.04672756    0.59594419)
iface=   2, ipnt= 191 (Z): anal=   0.00623727,  fd=   0.00598877,  err=   0.00024850 (at   11.76196374    0.04972810    0.59557318)
iface=   2, ipnt= 192 (Z): anal=   0.00733900,  fd=   0.00708616,  err=   0.00025285 (at   11.86997910    0.05199009    0.59531859)
iface=   2, ipnt= 193 (Z): anal=   0.00796963,  fd=   0.00771900,  err=   0.00025064 (at   11.99037575    0.05333241    0.59520803)
iface=   2, ipnt= 194 (Z): anal=   0.00782963,  fd=   0.00758994,  err=   0.00023970 (at   12.11692610    0.05368156    0.59523670)
iface=   2, ipnt= 195 (Z): anal=   0.00699851,  fd=   0.00677738,  err=   0.00022113 (at   12.24257091    0.05315694    0.59538128)
iface=   2, ipnt= 196 (Z): anal=   0.00576808,  fd=   0.00557165,  err=   0.00019643 (at   12.36362038    0.05197287    0.59560841)
...too many errors to list
iface=   3, ipnt= 218 (Z): anal=   0.00239985,  fd=   0.00228871,  err=   0.00011114 (at   12.65497456   -0.04697950    0.59639733)
iface=   3, ipnt= 219 (Z): anal=   0.00355996,  fd=   0.00341468,  err=   0.00014528 (at   12.55081529   -0.04906842    0.59608517)
iface=   3, ipnt= 220 (Z): anal=   0.00484633,  fd=   0.00466966,  err=   0.00017667 (at   12.44271328   -0.05089096    0.59579404)
iface=   3, ipnt= 221 (Z): anal=   0.00613824,  fd=   0.00593428,  err=   0.00020396 (at   12.33004061   -0.05236149    0.59553792)
iface=   3, ipnt= 222 (Z): anal=   0.00724789,  fd=   0.00702166,  err=   0.00022623 (at   12.21251924   -0.05335256    0.59533743)
iface=   3, ipnt= 223 (Z): anal=   0.00792163,  fd=   0.00767904,  err=   0.00024259 (at   12.09123570   -0.05368777    0.59522061)
iface=   3, ipnt= 224 (Z): anal=   0.00791497,  fd=   0.00766341,  err=   0.00025155 (at   11.97022987   -0.05318262    0.59521597)
iface=   3, ipnt= 225 (Z): anal=   0.00722196,  fd=   0.00696933,  err=   0.00025262 (at   11.85602596   -0.05175960    0.59534231)
iface=   3, ipnt= 226 (Z): anal=   0.00613671,  fd=   0.00588880,  err=   0.00024791 (at   11.75370874   -0.04950626    0.59559986)
iface=   3, ipnt= 227 (Z): anal=   0.00494761,  fd=   0.00470885,  err=   0.00023876 (at   11.66473240   -0.04658645    0.59596194)
...too many errors to list
    d(Face)/d(fuse) check complete with       26 total errors (errmax=  2.5285e-04)
iedge=   4, ipnt=   0 (Z): anal=   0.00011140,  fd=   0.00000000,  err=   0.00011140 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=   5 (Z): anal=   0.00090473,  fd=   0.00075825,  err=   0.00014648 (at   11.37565610    0.02494067    0.59832901)
iedge=   6, ipnt=   6 (Z): anal=   0.00205888,  fd=   0.00186469,  err=   0.00019419 (at   11.46315918    0.03473230    0.59738571)
iedge=   6, ipnt=   7 (Z): anal=   0.00394469,  fd=   0.00371214,  err=   0.00023255 (at   11.58846849    0.04315699    0.59639277)
iedge=   6, ipnt=   8 (Z): anal=   0.00515856,  fd=   0.00491171,  err=   0.00024685 (at   11.66839445    0.04672756    0.59594419)
iedge=   6, ipnt=   9 (Z): anal=   0.00644954,  fd=   0.00619259,  err=   0.00025696 (at   11.76196374    0.04972810    0.59557318)
iedge=   6, ipnt=  10 (Z): anal=   0.00760053,  fd=   0.00733867,  err=   0.00026186 (at   11.86997910    0.05199009    0.59531859)
iedge=   6, ipnt=  11 (Z): anal=   0.00825870,  fd=   0.00799898,  err=   0.00025973 (at   11.99037575    0.05333241    0.59520803)
iedge=   6, ipnt=  12 (Z): anal=   0.00810969,  fd=   0.00786142,  err=   0.00024827 (at   12.11692610    0.05368156    0.59523670)
iedge=   6, ipnt=  13 (Z): anal=   0.00723843,  fd=   0.00700971,  err=   0.00022871 (at   12.24257091    0.05315694    0.59538128)
iedge=   6, ipnt=  14 (Z): anal=   0.00595334,  fd=   0.00575060,  err=   0.00020274 (at   12.36362038    0.05197287    0.59560841)
...too many errors to list
iedge=  15, ipnt=  15 (Z): anal=   0.00246004,  fd=   0.00234611,  err=   0.00011393 (at   12.65497456   -0.04697950    0.59639733)
iedge=  15, ipnt=  16 (Z): anal=   0.00365893,  fd=   0.00350961,  err=   0.00014932 (at   12.55081529   -0.04906842    0.59608517)
iedge=  15, ipnt=  17 (Z): anal=   0.00499370,  fd=   0.00481166,  err=   0.00018204 (at   12.44271328   -0.05089096    0.59579404)
iedge=  15, ipnt=  18 (Z): anal=   0.00633944,  fd=   0.00612880,  err=   0.00021064 (at   12.33004061   -0.05236149    0.59553792)
iedge=  15, ipnt=  19 (Z): anal=   0.00749949,  fd=   0.00726541,  err=   0.00023408 (at   12.21251924   -0.05335256    0.59533743)
iedge=  15, ipnt=  20 (Z): anal=   0.00820649,  fd=   0.00795518,  err=   0.00025131 (at   12.09123570   -0.05368777    0.59522061)
iedge=  15, ipnt=  21 (Z): anal=   0.00820184,  fd=   0.00794117,  err=   0.00026067 (at   11.97022987   -0.05318262    0.59521597)
iedge=  15, ipnt=  22 (Z): anal=   0.00747823,  fd=   0.00721664,  err=   0.00026159 (at   11.85602596   -0.05175960    0.59534231)
iedge=  15, ipnt=  23 (Z): anal=   0.00634455,  fd=   0.00608825,  err=   0.00025630 (at   11.75370874   -0.04950626    0.59559986)
iedge=  15, ipnt=  24 (Z): anal=   0.00510440,  fd=   0.00485807,  err=   0.00024633 (at   11.66473240   -0.04658645    0.59596194)
...too many errors to list
    d(Edge)/d(fuse) check complete with       27 total errors (errmax=  2.6186e-04)
inode=   4, ipnt=   0 (Z): anal=   0.00011140,  fd=   0.00000000,  err=   0.00011140 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Y): anal=  -0.17034862,  fd=  -0.17055197,  err=   0.00020335 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.00825261,  fd=  -0.00893825,  err=   0.00068564 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=   0.17038019,  fd=   0.17055197,  err=  -0.00017178 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00835970,  fd=  -0.00893825,  err=   0.00057855 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        5 total errors (errmax=  6.8564e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[12,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[12,4]" for ibody=84
iface=   2, ipnt= 187 (Z): anal=   0.43421923,  fd=   0.43436344,  err=  -0.00014421 (at   11.37565610    0.02494067    0.59832901)
iface=   2, ipnt= 188 (Z): anal=   0.54647728,  fd=   0.54666738,  err=  -0.00019011 (at   11.46315918    0.03473230    0.59738571)
iface=   2, ipnt= 189 (Z): anal=   0.69720776,  fd=   0.69743408,  err=  -0.00022632 (at   11.58846849    0.04315699    0.59639277)
iface=   2, ipnt= 190 (Z): anal=   0.78200140,  fd=   0.78224095,  err=  -0.00023956 (at   11.66839445    0.04672756    0.59594419)
iface=   2, ipnt= 191 (Z): anal=   0.86483911,  fd=   0.86508785,  err=  -0.00024874 (at   11.76196374    0.04972810    0.59557318)
iface=   2, ipnt= 192 (Z): anal=   0.93180621,  fd=   0.93205919,  err=  -0.00025298 (at   11.86997910    0.05199009    0.59531859)
iface=   2, ipnt= 193 (Z): anal=   0.96050546,  fd=   0.96075625,  err=  -0.00025079 (at   11.99037575    0.05333241    0.59520803)
iface=   2, ipnt= 194 (Z): anal=   0.92965783,  fd=   0.92989741,  err=  -0.00023958 (at   12.11692610    0.05368156    0.59523670)
iface=   2, ipnt= 195 (Z): anal=   0.84568194,  fd=   0.84590289,  err=  -0.00022094 (at   12.24257091    0.05315694    0.59538128)
iface=   2, ipnt= 196 (Z): anal=   0.72741325,  fd=   0.72760945,  err=  -0.00019620 (at   12.36362038    0.05197287    0.59560841)
...too many errors to list
iface=   3, ipnt= 218 (Z): anal=   0.36707566,  fd=   0.36718658,  err=  -0.00011092 (at   12.65497456   -0.04697950    0.59639733)
iface=   3, ipnt= 219 (Z): anal=   0.50116529,  fd=   0.50131033,  err=  -0.00014504 (at   12.55081529   -0.04906842    0.59608517)
iface=   3, ipnt= 220 (Z): anal=   0.63626241,  fd=   0.63643884,  err=  -0.00017643 (at   12.44271328   -0.05089096    0.59579404)
iface=   3, ipnt= 221 (Z): anal=   0.76317713,  fd=   0.76338087,  err=  -0.00020374 (at   12.33004061   -0.05236149    0.59553792)
iface=   3, ipnt= 222 (Z): anal=   0.86986113,  fd=   0.87008718,  err=  -0.00022605 (at   12.21251924   -0.05335256    0.59533743)
iface=   3, ipnt= 223 (Z): anal=   0.94074167,  fd=   0.94098416,  err=  -0.00024250 (at   12.09123570   -0.05368777    0.59522061)
iface=   3, ipnt= 224 (Z): anal=   0.95954935,  fd=   0.95980093,  err=  -0.00025158 (at   11.97022987   -0.05318262    0.59521597)
iface=   3, ipnt= 225 (Z): anal=   0.92515206,  fd=   0.92540484,  err=  -0.00025277 (at   11.85602596   -0.05175960    0.59534231)
iface=   3, ipnt= 226 (Z): anal=   0.85836886,  fd=   0.85861702,  err=  -0.00024815 (at   11.75370874   -0.04950626    0.59559986)
iface=   3, ipnt= 227 (Z): anal=   0.77836984,  fd=   0.77860892,  err=  -0.00023907 (at   11.66473240   -0.04658645    0.59596194)
...too many errors to list
iface=  17, ipnt=  33 (Z): anal=   0.00000000,  fd=  -0.00017886,  err=   0.00017886 (at   12.74775737   -0.26559967    0.16103262)
iface=  17, ipnt=  34 (Z): anal=   0.00000000,  fd=   0.00015818,  err=  -0.00015818 (at   12.64074815   -0.26598070    0.16199975)
iface=  17, ipnt=  36 (Z): anal=   0.00000000,  fd=  -0.00063878,  err=   0.00063878 (at   12.49030535   -0.26841789    0.16707689)
iface=  17, ipnt=  37 (X): anal=   0.00000000,  fd=   0.00068481,  err=  -0.00068481 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Y): anal=   0.00000000,  fd=   0.00075110,  err=  -0.00075110 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  37 (Z): anal=   0.00000000,  fd=   0.00775830,  err=  -0.00775830 (at   12.39556668   -0.27159318    0.17379182)
iface=  17, ipnt=  38 (X): anal=   0.00000000,  fd=  -0.00119467,  err=   0.00119467 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Y): anal=   0.00000000,  fd=  -0.00103944,  err=   0.00103944 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  38 (Z): anal=   0.00000000,  fd=  -0.00876311,  err=   0.00876311 (at   12.32961865   -0.27498500    0.18138302)
iface=  17, ipnt=  39 (X): anal=   0.00000000,  fd=   0.00467029,  err=  -0.00467029 (at   12.25797382   -0.28105546    0.19654539)
...too many errors to list
    d(Face)/d(fuse) check complete with       55 total errors (errmax=  6.3729e-02)
iedge=   4, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00011140,  err=  -0.00011140 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=   5 (Z): anal=   0.44241389,  fd=   0.44256078,  err=  -0.00014689 (at   11.37565610    0.02494067    0.59832901)
iedge=   6, ipnt=   6 (Z): anal=   0.55947240,  fd=   0.55966703,  err=  -0.00019463 (at   11.46315918    0.03473230    0.59738571)
iedge=   6, ipnt=   7 (Z): anal=   0.71756913,  fd=   0.71780205,  err=  -0.00023292 (at   11.58846849    0.04315699    0.59639277)
iedge=   6, ipnt=   8 (Z): anal=   0.80686435,  fd=   0.80711156,  err=  -0.00024721 (at   11.66839445    0.04672756    0.59594419)
iedge=   6, ipnt=   9 (Z): anal=   0.89427293,  fd=   0.89453015,  err=  -0.00025723 (at   11.76196374    0.04972810    0.59557318)
iedge=   6, ipnt=  10 (Z): anal=   0.96501124,  fd=   0.96527325,  err=  -0.00026200 (at   11.86997910    0.05199009    0.59531859)
iedge=   6, ipnt=  11 (Z): anal=   0.99534440,  fd=   0.99560429,  err=  -0.00025989 (at   11.99037575    0.05333241    0.59520803)
iedge=   6, ipnt=  12 (Z): anal=   0.96291082,  fd=   0.96315898,  err=  -0.00024816 (at   12.11692610    0.05368156    0.59523670)
iedge=   6, ipnt=  13 (Z): anal=   0.87467259,  fd=   0.87490111,  err=  -0.00022852 (at   12.24257091    0.05315694    0.59538128)
iedge=   6, ipnt=  14 (Z): anal=   0.75077638,  fd=   0.75097888,  err=  -0.00020250 (at   12.36362038    0.05197287    0.59560841)
...too many errors to list
iedge=  15, ipnt=  15 (Z): anal=   0.37628312,  fd=   0.37639683,  err=  -0.00011370 (at   12.65497456   -0.04697950    0.59639733)
iedge=  15, ipnt=  16 (Z): anal=   0.51509827,  fd=   0.51524735,  err=  -0.00014908 (at   12.55081529   -0.04906842    0.59608517)
iedge=  15, ipnt=  17 (Z): anal=   0.65561123,  fd=   0.65579302,  err=  -0.00018179 (at   12.44271328   -0.05089096    0.59579404)
iedge=  15, ipnt=  18 (Z): anal=   0.78819296,  fd=   0.78840337,  err=  -0.00021041 (at   12.33004061   -0.05236149    0.59553792)
iedge=  15, ipnt=  19 (Z): anal=   0.90005802,  fd=   0.90029192,  err=  -0.00023390 (at   12.21251924   -0.05335256    0.59533743)
iedge=  15, ipnt=  20 (Z): anal=   0.97457013,  fd=   0.97482135,  err=  -0.00025122 (at   12.09123570   -0.05368777    0.59522061)
iedge=  15, ipnt=  21 (Z): anal=   0.99432778,  fd=   0.99458848,  err=  -0.00026070 (at   11.97022987   -0.05318262    0.59521597)
iedge=  15, ipnt=  22 (Z): anal=   0.95798104,  fd=   0.95824279,  err=  -0.00026175 (at   11.85602596   -0.05175960    0.59534231)
iedge=  15, ipnt=  23 (Z): anal=   0.88744119,  fd=   0.88769775,  err=  -0.00025656 (at   11.75370874   -0.04950626    0.59559986)
iedge=  15, ipnt=  24 (Z): anal=   0.80303571,  fd=   0.80328228,  err=  -0.00024657 (at   11.66473240   -0.04658645    0.59596194)
...too many errors to list
iedge=  22, ipnt=   1 (X): anal=  -0.04711716,  fd=  -0.04847885,  err=   0.00136169 (at   12.23387012   -0.28675821    0.21359626)
iedge=  22, ipnt=   2 (X): anal=  -0.05076758,  fd=  -0.05742968,  err=   0.00666209 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Y): anal=   0.09167648,  fd=   0.09219045,  err=  -0.00051398 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   2 (Z): anal=   0.01386746,  fd=   0.01216264,  err=   0.00170483 (at   12.23412976   -0.28632121    0.21215504)
iedge=  22, ipnt=   3 (X): anal=  -0.04877417,  fd=   0.03956649,  err=  -0.08834066 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Y): anal=   0.09841617,  fd=   0.08130139,  err=   0.01711478 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   3 (Z): anal=  -0.00176488,  fd=   0.05255905,  err=  -0.05432393 (at   12.23547262   -0.28543560    0.20931343)
iedge=  22, ipnt=   4 (X): anal=  -0.04049413,  fd=  -0.02453775,  err=  -0.01595638 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Y): anal=   0.10312242,  fd=   0.09789780,  err=   0.00522462 (at   12.23769659   -0.28463016    0.20681439)
iedge=  22, ipnt=   4 (Z): anal=  -0.01136518,  fd=   0.00470393,  err=  -0.01606912 (at   12.23769659   -0.28463016    0.20681439)
...too many errors to list
    d(Edge)/d(fuse) check complete with       53 total errors (errmax=  8.8341e-02)
inode=   4, ipnt=   0 (Z): anal=  -0.00000000,  fd=   0.00011140,  err=  -0.00011140 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Y): anal=  -0.09513329,  fd=  -0.09524576,  err=   0.00011247 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.00460877,  fd=  -0.00499162,  err=   0.00038285 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00466858,  fd=  -0.00499162,  err=   0.00032304 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        4 total errors (errmax=  3.8285e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[13,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[13,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.9098e-08)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.4540e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.8787e-06)

*********************************************************
Starting configuration sensitivity wrt "fuse[13,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[13,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  9.5195e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.9358e-05)
inode=  11, ipnt=   0 (X): anal=  -0.12499164,  fd=  -0.12512550,  err=   0.00013385 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Y): anal=  -0.26801480,  fd=  -0.26833249,  err=   0.00031769 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.01298409,  fd=  -0.01406271,  err=   0.00107862 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (X): anal=  -0.12499735,  fd=  -0.12512550,  err=   0.00012814 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=   0.26806446,  fd=   0.26833249,  err=  -0.00026803 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.01315258,  fd=  -0.01406271,  err=   0.00091013 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.0786e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[13,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[13,3]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=   0.00351573,  fd=   0.00339600,  err=   0.00011973 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=   0.00449954,  fd=   0.00432950,  err=   0.00017003 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=   0.00514370,  fd=   0.00492384,  err=   0.00021986 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=   0.00542028,  fd=   0.00515484,  err=   0.00026544 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=   0.00534486,  fd=   0.00504232,  err=   0.00030254 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=   0.00496167,  fd=   0.00463495,  err=   0.00032672 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 202 (Z): anal=   0.00433344,  fd=   0.00399975,  err=   0.00033369 (at   13.00049878    0.03814211    0.59756015)
iface=   2, ipnt= 203 (Z): anal=   0.00354596,  fd=   0.00322515,  err=   0.00032081 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=   0.00272108,  fd=   0.00243040,  err=   0.00029068 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=   0.00195309,  fd=   0.00170532,  err=   0.00024777 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iface=   3, ipnt= 209 (Z): anal=   0.00068845,  fd=   0.00055650,  err=   0.00013195 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=   0.00114213,  fd=   0.00095974,  err=   0.00018239 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=   0.00173023,  fd=   0.00149803,  err=   0.00023220 (at   13.31367492   -0.02810351    0.59864461)
iface=   3, ipnt= 212 (Z): anal=   0.00243505,  fd=   0.00215856,  err=   0.00027649 (at   13.22492462   -0.03112108    0.59834699)
iface=   3, ipnt= 213 (Z): anal=   0.00321517,  fd=   0.00290454,  err=   0.00031063 (at   13.13476445   -0.03404944    0.59803395)
iface=   3, ipnt= 214 (Z): anal=   0.00400019,  fd=   0.00366978,  err=   0.00033042 (at   13.04302233   -0.03688184    0.59771024)
iface=   3, ipnt= 215 (Z): anal=   0.00468712,  fd=   0.00435466,  err=   0.00033246 (at   12.94946923   -0.03960865    0.59738113)
iface=   3, ipnt= 216 (Z): anal=   0.00518090,  fd=   0.00486392,  err=   0.00031698 (at   12.85383750   -0.04221553    0.59705052)
iface=   3, ipnt= 217 (Z): anal=   0.00541924,  fd=   0.00513175,  err=   0.00028749 (at   12.75580936   -0.04468191    0.59672120)
iface=   3, ipnt= 218 (Z): anal=   0.00535317,  fd=   0.00510525,  err=   0.00024791 (at   12.65497456   -0.04697950    0.59639733)
...too many errors to list
    d(Face)/d(fuse) check complete with       25 total errors (errmax=  3.3369e-04)
iedge=   4, ipnt=   0 (Z): anal=  -0.00046701,  fd=   0.00000000,  err=  -0.00046701 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=  14 (Z): anal=   0.00362865,  fd=   0.00350508,  err=   0.00012357 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=   0.00463252,  fd=   0.00445746,  err=   0.00017506 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=   0.00528147,  fd=   0.00505572,  err=   0.00022575 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=   0.00555002,  fd=   0.00527823,  err=   0.00027180 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=   0.00545763,  fd=   0.00514871,  err=   0.00030892 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=   0.00505265,  fd=   0.00471993,  err=   0.00033272 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  20 (Z): anal=   0.00440143,  fd=   0.00406250,  err=   0.00033893 (at   13.00049878    0.03814211    0.59756015)
iedge=   6, ipnt=  21 (Z): anal=   0.00359272,  fd=   0.00326768,  err=   0.00032504 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=   0.00275061,  fd=   0.00245677,  err=   0.00029384 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=   0.00197008,  fd=   0.00172016,  err=   0.00024992 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iedge=  15, ipnt=   6 (Z): anal=   0.00069162,  fd=   0.00055907,  err=   0.00013256 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=   0.00114925,  fd=   0.00096572,  err=   0.00018353 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=   0.00174416,  fd=   0.00151009,  err=   0.00023406 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=   0.00245954,  fd=   0.00218026,  err=   0.00027927 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=   0.00325450,  fd=   0.00294008,  err=   0.00031443 (at   13.13476445   -0.03404944    0.59803395)
iedge=  15, ipnt=  11 (Z): anal=   0.00405848,  fd=   0.00372325,  err=   0.00033523 (at   13.04302233   -0.03688184    0.59771024)
iedge=  15, ipnt=  12 (Z): anal=   0.00476704,  fd=   0.00442892,  err=   0.00033813 (at   12.94946923   -0.03960865    0.59738113)
iedge=  15, ipnt=  13 (Z): anal=   0.00528273,  fd=   0.00495952,  err=   0.00032321 (at   12.85383750   -0.04221553    0.59705052)
iedge=  15, ipnt=  14 (Z): anal=   0.00554034,  fd=   0.00524643,  err=   0.00029392 (at   12.75580936   -0.04468191    0.59672120)
iedge=  15, ipnt=  15 (Z): anal=   0.00548744,  fd=   0.00523331,  err=   0.00025413 (at   12.65497456   -0.04697950    0.59639733)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  4.6701e-04)
inode=   4, ipnt=   0 (Z): anal=  -0.00046701,  fd=   0.00000000,  err=  -0.00046701 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Z): anal=  -0.00256124,  fd=  -0.00277403,  err=   0.00021278 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00259448,  fd=  -0.00277403,  err=   0.00017955 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        3 total errors (errmax=  4.6701e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[13,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[13,4]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=   0.44336879,  fd=   0.44348844,  err=  -0.00011965 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=   0.60376075,  fd=   0.60393071,  err=  -0.00016996 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=   0.74601445,  fd=   0.74623425,  err=  -0.00021981 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=   0.86146055,  fd=   0.86172595,  err=  -0.00026540 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=   0.94292987,  fd=   0.94323238,  err=  -0.00030251 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=   0.98412496,  fd=   0.98445167,  err=  -0.00032672 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 202 (Z): anal=   0.97932129,  fd=   0.97965505,  err=  -0.00033376 (at   13.00049878    0.03814211    0.59756015)
iface=   2, ipnt= 203 (Z): anal=   0.92642679,  fd=   0.92674763,  err=  -0.00032084 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=   0.83562361,  fd=   0.83591432,  err=  -0.00029072 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=   0.71891448,  fd=   0.71916228,  err=  -0.00024780 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iface=   3, ipnt= 209 (Z): anal=   0.41826227,  fd=   0.41839425,  err=  -0.00013197 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=   0.54915242,  fd=   0.54933484,  err=  -0.00018242 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=   0.67801156,  fd=   0.67824379,  err=  -0.00023223 (at   13.31367492   -0.02810351    0.59864461)
iface=   3, ipnt= 212 (Z): anal=   0.79610740,  fd=   0.79638393,  err=  -0.00027653 (at   13.22492462   -0.03112108    0.59834699)
iface=   3, ipnt= 213 (Z): anal=   0.89404469,  fd=   0.89435535,  err=  -0.00031066 (at   13.13476445   -0.03404944    0.59803395)
iface=   3, ipnt= 214 (Z): anal=   0.96159865,  fd=   0.96192909,  err=  -0.00033043 (at   13.04302233   -0.03688184    0.59771024)
iface=   3, ipnt= 215 (Z): anal=   0.98789899,  fd=   0.98823144,  err=  -0.00033246 (at   12.94946923   -0.03960865    0.59738113)
iface=   3, ipnt= 216 (Z): anal=   0.96969676,  fd=   0.97001372,  err=  -0.00031696 (at   12.85383750   -0.04221553    0.59705052)
iface=   3, ipnt= 217 (Z): anal=   0.91157420,  fd=   0.91186165,  err=  -0.00028746 (at   12.75580936   -0.04468191    0.59672120)
iface=   3, ipnt= 218 (Z): anal=   0.81880879,  fd=   0.81905665,  err=  -0.00024786 (at   12.65497456   -0.04697950    0.59639733)
...too many errors to list
    d(Face)/d(fuse) check complete with       25 total errors (errmax=  3.3376e-04)
iedge=   4, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00046701,  err=   0.00046701 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=  14 (Z): anal=   0.45760895,  fd=   0.45773244,  err=  -0.00012349 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=   0.62160497,  fd=   0.62177996,  err=  -0.00017499 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=   0.76599617,  fd=   0.76622187,  err=  -0.00022569 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=   0.88208124,  fd=   0.88235300,  err=  -0.00027175 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=   0.96282616,  fd=   0.96313506,  err=  -0.00030890 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=   1.00217055,  fd=   1.00250326,  err=  -0.00033271 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  20 (Z): anal=   0.99468558,  fd=   0.99502458,  err=  -0.00033900 (at   13.00049878    0.03814211    0.59756015)
iedge=   6, ipnt=  21 (Z): anal=   0.93864360,  fd=   0.93896866,  err=  -0.00032507 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=   0.84469123,  fd=   0.84498510,  err=  -0.00029387 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=   0.72516750,  fd=   0.72541746,  err=  -0.00024996 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iedge=  15, ipnt=   6 (Z): anal=   0.42019272,  fd=   0.42032530,  err=  -0.00013258 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=   0.55257539,  fd=   0.55275896,  err=  -0.00018356 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=   0.68347051,  fd=   0.68370461,  err=  -0.00023410 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=   0.80411329,  fd=   0.80439260,  err=  -0.00027931 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=   0.90498270,  fd=   0.90529715,  err=  -0.00031446 (at   13.13476445   -0.03404944    0.59803395)
iedge=  15, ipnt=  11 (Z): anal=   0.97561053,  fd=   0.97594577,  err=  -0.00033525 (at   13.04302233   -0.03688184    0.59771024)
iedge=  15, ipnt=  12 (Z): anal=   1.00474493,  fd=   1.00508306,  err=  -0.00033813 (at   12.94946923   -0.03960865    0.59738113)
iedge=  15, ipnt=  13 (Z): anal=   0.98875602,  fd=   0.98907921,  err=  -0.00032319 (at   12.85383750   -0.04221553    0.59705052)
iedge=  15, ipnt=  14 (Z): anal=   0.93194497,  fd=   0.93223885,  err=  -0.00029388 (at   12.75580936   -0.04468191    0.59672120)
iedge=  15, ipnt=  15 (Z): anal=   0.83934720,  fd=   0.83960128,  err=  -0.00025408 (at   12.65497456   -0.04697950    0.59639733)
...too many errors to list
    d(Edge)/d(fuse) check complete with       26 total errors (errmax=  4.6701e-04)
inode=   4, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00046701,  err=   0.00046701 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Z): anal=  -0.00143036,  fd=  -0.00154918,  err=   0.00011882 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00144892,  fd=  -0.00154918,  err=   0.00010026 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        3 total errors (errmax=  4.6701e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[14,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[14,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.5183e-08)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.3722e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.3046e-07)

*********************************************************
Starting configuration sensitivity wrt "fuse[14,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[14,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.8525e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.8935e-05)
inode=  11, ipnt=   0 (X): anal=   0.12376404,  fd=   0.12389673,  err=  -0.00013269 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Y): anal=   0.26538249,  fd=   0.26569739,  err=  -0.00031490 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=   0.01285657,  fd=   0.01392461,  err=  -0.00106804 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (X): anal=   0.12376969,  fd=   0.12389673,  err=  -0.00012704 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=  -0.26543167,  fd=  -0.26569739,  err=   0.00026572 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=   0.01302340,  fd=   0.01392461,  err=  -0.00090121 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        6 total errors (errmax=  1.0680e-03)

*********************************************************
Starting configuration sensitivity wrt "fuse[14,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[14,3]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=  -0.00290192,  fd=  -0.00274939,  err=  -0.00015254 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=  -0.00336917,  fd=  -0.00316988,  err=  -0.00019929 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=  -0.00336249,  fd=  -0.00313322,  err=  -0.00022926 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=  -0.00291451,  fd=  -0.00268125,  err=  -0.00023326 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=  -0.00211665,  fd=  -0.00191477,  err=  -0.00020188 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=  -0.00109537,  fd=  -0.00096908,  err=  -0.00012628 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 203 (Z): anal=   0.00101221,  fd=   0.00083368,  err=   0.00017853 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=   0.00170564,  fd=   0.00132357,  err=   0.00038207 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=   0.00198583,  fd=   0.00140630,  err=   0.00057954 (at   13.28431822    0.02911625    0.59854765)
iface=   2, ipnt= 206 (Z): anal=   0.00187611,  fd=   0.00113680,  err=   0.00073931 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iface=   3, ipnt= 204 (Z): anal=   0.00016909,  fd=   0.00006832,  err=   0.00010077 (at   13.90124956   -0.00475578    0.59996209)
iface=   3, ipnt= 205 (Z): anal=   0.00011456,  fd=  -0.00020087,  err=   0.00031544 (at   13.82088277   -0.00831603    0.59988174)
iface=   3, ipnt= 206 (Z): anal=   0.00017599,  fd=  -0.00036757,  err=   0.00054357 (at   13.73926675   -0.01180407    0.59975950)
iface=   3, ipnt= 207 (Z): anal=   0.00043756,  fd=  -0.00028793,  err=   0.00072548 (at   13.65646032   -0.01521815    0.59959887)
iface=   3, ipnt= 208 (Z): anal=   0.00086971,  fd=   0.00004083,  err=   0.00082888 (at   13.57250017   -0.01855678    0.59940340)
iface=   3, ipnt= 209 (Z): anal=   0.00136773,  fd=   0.00052473,  err=   0.00084300 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=   0.00178916,  fd=   0.00101595,  err=   0.00077320 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=   0.00198933,  fd=   0.00135325,  err=   0.00063608 (at   13.31367492   -0.02810351    0.59864461)
iface=   3, ipnt= 212 (Z): anal=   0.00185485,  fd=   0.00139950,  err=   0.00045535 (at   13.22492462   -0.03112108    0.59834699)
iface=   3, ipnt= 213 (Z): anal=   0.00133521,  fd=   0.00107681,  err=   0.00025840 (at   13.13476445   -0.03404944    0.59803395)
...too many errors to list
    d(Face)/d(fuse) check complete with       52 total errors (errmax=  8.4300e-04)
iedge=   4, ipnt=   0 (Z): anal=   0.20021049,  fd=  -0.00000000,  err=   0.20021049 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=  13 (Z): anal=  -0.00208983,  fd=  -0.00198883,  err=  -0.00010100 (at   12.24257091    0.05315694    0.59538128)
iedge=   6, ipnt=  14 (Z): anal=  -0.00299513,  fd=  -0.00283769,  err=  -0.00015744 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=  -0.00346875,  fd=  -0.00326357,  err=  -0.00020518 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=  -0.00345255,  fd=  -0.00321714,  err=  -0.00023541 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=  -0.00298427,  fd=  -0.00274543,  err=  -0.00023885 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=  -0.00216132,  fd=  -0.00195518,  err=  -0.00020614 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=  -0.00111545,  fd=  -0.00098685,  err=  -0.00012860 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  21 (Z): anal=   0.00102556,  fd=   0.00084468,  err=   0.00018088 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=   0.00172415,  fd=   0.00133793,  err=   0.00038621 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=   0.00200311,  fd=   0.00141853,  err=   0.00058458 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iedge=  15, ipnt=   1 (Z): anal=   0.00016910,  fd=   0.00006833,  err=   0.00010077 (at   13.90124956   -0.00475578    0.59996209)
iedge=  15, ipnt=   2 (Z): anal=   0.00011462,  fd=  -0.00020096,  err=   0.00031558 (at   13.82088277   -0.00831603    0.59988174)
iedge=  15, ipnt=   3 (Z): anal=   0.00017619,  fd=  -0.00036798,  err=   0.00054417 (at   13.73926675   -0.01180407    0.59975950)
iedge=  15, ipnt=   4 (Z): anal=   0.00043845,  fd=  -0.00028851,  err=   0.00072696 (at   13.65646032   -0.01521815    0.59959887)
iedge=  15, ipnt=   5 (Z): anal=   0.00087250,  fd=   0.00004096,  err=   0.00083154 (at   13.57250017   -0.01855678    0.59940340)
iedge=  15, ipnt=   6 (Z): anal=   0.00137404,  fd=   0.00052715,  err=   0.00084690 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=   0.00180031,  fd=   0.00102229,  err=   0.00077802 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=   0.00200535,  fd=   0.00136414,  err=   0.00064120 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=   0.00187350,  fd=   0.00141357,  err=   0.00045993 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=   0.00135155,  fd=   0.00108998,  err=   0.00026156 (at   13.13476445   -0.03404944    0.59803395)
...too many errors to list
    d(Edge)/d(fuse) check complete with       34 total errors (errmax=  2.0021e-01)
inode=   4, ipnt=   0 (Z): anal=   0.20021049,  fd=  -0.00000000,  err=   0.20021049 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Z): anal=   0.00253611,  fd=   0.00274679,  err=  -0.00021069 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=   0.00256902,  fd=   0.00274679,  err=  -0.00017778 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        3 total errors (errmax=  2.0021e-01)

*********************************************************
Starting configuration sensitivity wrt "fuse[14,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[14,4]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=  -0.41272656,  fd=  -0.41287918,  err=   0.00015263 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=  -0.51706291,  fd=  -0.51726225,  err=   0.00019935 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=  -0.56842850,  fd=  -0.56865778,  err=   0.00022928 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=  -0.55319018,  fd=  -0.55342340,  err=   0.00023322 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=  -0.45980364,  fd=  -0.46000542,  err=   0.00020178 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=  -0.27797798,  fd=  -0.27810408,  err=   0.00012611 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 203 (Z): anal=   0.37711427,  fd=   0.37729311,  err=  -0.00017884 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=   0.80524684,  fd=   0.80562923,  err=  -0.00038239 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=   1.23731513,  fd=   1.23789497,  err=  -0.00057984 (at   13.28431822    0.02911625    0.59854765)
iface=   2, ipnt= 206 (Z): anal=   1.62860481,  fd=   1.62934437,  err=  -0.00073956 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iface=   3, ipnt= 205 (Z): anal=   1.59162991,  fd=   1.59194499,  err=  -0.00031508 (at   13.82088277   -0.00831603    0.59988174)
iface=   3, ipnt= 206 (Z): anal=   1.97097219,  fd=   1.97151556,  err=  -0.00054337 (at   13.73926675   -0.01180407    0.59975950)
iface=   3, ipnt= 207 (Z): anal=   2.14760763,  fd=   2.14833304,  err=  -0.00072542 (at   13.65646032   -0.01521815    0.59959887)
iface=   3, ipnt= 208 (Z): anal=   2.14637806,  fd=   2.14720699,  err=  -0.00082893 (at   13.57250017   -0.01855678    0.59940340)
iface=   3, ipnt= 209 (Z): anal=   1.99523774,  fd=   1.99608090,  err=  -0.00084315 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=   1.72490992,  fd=   1.72568336,  err=  -0.00077343 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=   1.36867785,  fd=   1.36931422,  err=  -0.00063637 (at   13.31367492   -0.02810351    0.59864461)
iface=   3, ipnt= 212 (Z): anal=   0.96234882,  fd=   0.96280449,  err=  -0.00045567 (at   13.22492462   -0.03112108    0.59834699)
iface=   3, ipnt= 213 (Z): anal=   0.54443843,  fd=   0.54469716,  err=  -0.00025872 (at   13.13476445   -0.03404944    0.59803395)
iface=   3, ipnt= 216 (Z): anal=  -0.37714869,  fd=  -0.37731724,  err=   0.00016856 (at   12.85383750   -0.04221553    0.59705052)
...too many errors to list
    d(Face)/d(fuse) check complete with       51 total errors (errmax=  8.4315e-04)
iedge=   4, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.20020991,  err=  -0.20020991 (at   13.98028880    0.00000000    0.60000004)
iedge=   6, ipnt=  13 (Z): anal=  -0.28220870,  fd=  -0.28230980,  err=   0.00010111 (at   12.24257091    0.05315694    0.59538128)
iedge=   6, ipnt=  14 (Z): anal=  -0.42598255,  fd=  -0.42614007,  err=   0.00015753 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=  -0.53234477,  fd=  -0.53255001,  err=   0.00020524 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=  -0.58365365,  fd=  -0.58388906,  err=   0.00023542 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=  -0.56643184,  fd=  -0.56667064,  err=   0.00023880 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=  -0.46950573,  fd=  -0.46971177,  err=   0.00020603 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=  -0.28307517,  fd=  -0.28320359,  err=   0.00012842 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  21 (Z): anal=   0.38208728,  fd=   0.38226848,  err=  -0.00018120 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=   0.81398484,  fd=   0.81437137,  err=  -0.00038654 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=   1.24807714,  fd=   1.24866202,  err=  -0.00058488 (at   13.28431822    0.02911625    0.59854765)
...too many errors to list
iedge=  15, ipnt=   2 (Z): anal=   1.59233610,  fd=   1.59265132,  err=  -0.00031522 (at   13.82088277   -0.00831603    0.59988174)
iedge=  15, ipnt=   3 (Z): anal=   1.97316030,  fd=   1.97370427,  err=  -0.00054397 (at   13.73926675   -0.01180407    0.59975950)
iedge=  15, ipnt=   4 (Z): anal=   2.15198557,  fd=   2.15271246,  err=  -0.00072690 (at   13.65646032   -0.01521815    0.59959887)
iedge=  15, ipnt=   5 (Z): anal=   2.15327262,  fd=   2.15410422,  err=  -0.00083160 (at   13.57250017   -0.01855678    0.59940340)
iedge=  15, ipnt=   6 (Z): anal=   2.00444654,  fd=   2.00529359,  err=  -0.00084705 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=   1.73566163,  fd=   1.73643989,  err=  -0.00077825 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=   1.37969763,  fd=   1.38033912,  err=  -0.00064149 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=   0.97202649,  fd=   0.97248674,  err=  -0.00046025 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=   0.55109925,  fd=   0.55136114,  err=  -0.00026189 (at   13.13476445   -0.03404944    0.59803395)
iedge=  15, ipnt=  13 (Z): anal=  -0.38456149,  fd=  -0.38473336,  err=   0.00017187 (at   12.85383750   -0.04221553    0.59705052)
...too many errors to list
    d(Edge)/d(fuse) check complete with       33 total errors (errmax=  2.0021e-01)
inode=   4, ipnt=   0 (Z): anal=  -0.00000019,  fd=   0.20020972,  err=  -0.20020991 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Z): anal=   0.00141629,  fd=   0.00153393,  err=  -0.00011765 (at   12.23391938    0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  2.0021e-01)

*********************************************************
Starting configuration sensitivity wrt "fuse[15,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[15,1]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.0024e-08)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.9064e-08)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.9064e-08)

*********************************************************
Starting configuration sensitivity wrt "fuse[15,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[15,2]" for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.1126e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.1486e-05)
inode=  11, ipnt=   0 (Y): anal=  -0.19631043,  fd=  -0.19654317,  err=   0.00023274 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.00951034,  fd=  -0.01030039,  err=   0.00079005 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=   0.19634680,  fd=   0.19654317,  err=  -0.00019636 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00963375,  fd=  -0.01030039,  err=   0.00066664 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        4 total errors (errmax=  7.9005e-04)

*********************************************************
Starting configuration sensitivity wrt "fuse[15,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[15,3]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=   0.00205087,  fd=   0.00192732,  err=   0.00012356 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=   0.00236716,  fd=   0.00220574,  err=   0.00016142 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=   0.00234340,  fd=   0.00215769,  err=   0.00018570 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=   0.00200951,  fd=   0.00182057,  err=   0.00018894 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=   0.00143901,  fd=   0.00127549,  err=   0.00016352 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=   0.00073100,  fd=   0.00062871,  err=   0.00010229 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 203 (Z): anal=  -0.00063349,  fd=  -0.00048922,  err=  -0.00014427 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=  -0.00100111,  fd=  -0.00069431,  err=  -0.00030681 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=  -0.00104932,  fd=  -0.00058859,  err=  -0.00046073 (at   13.28431822    0.02911625    0.59854765)
iface=   2, ipnt= 206 (Z): anal=  -0.00082084,  fd=  -0.00024161,  err=  -0.00057923 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iface=   3, ipnt= 183 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000   -0.05852709    0.00576834)
iface=   3, ipnt= 199 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000   -0.05852709    0.59423166)
iface=   3, ipnt= 200 (Z): anal=   0.00273238,  fd=   0.00239147,  err=   0.00034091 (at   14.00000000   -0.02940488    0.59855116)
iface=   3, ipnt= 205 (Z): anal=   0.00023572,  fd=   0.00038927,  err=  -0.00015355 (at   13.82088277   -0.00831603    0.59988174)
iface=   3, ipnt= 206 (Z): anal=   0.00038380,  fd=   0.00072646,  err=  -0.00034266 (at   13.73926675   -0.01180407    0.59975950)
iface=   3, ipnt= 207 (Z): anal=   0.00032808,  fd=   0.00083448,  err=  -0.00050639 (at   13.65646032   -0.01521815    0.59959887)
iface=   3, ipnt= 208 (Z): anal=   0.00006762,  fd=   0.00067854,  err=  -0.00061092 (at   13.57250017   -0.01855678    0.59940340)
iface=   3, ipnt= 209 (Z): anal=  -0.00032175,  fd=   0.00032078,  err=  -0.00064253 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=  -0.00072141,  fd=  -0.00011872,  err=  -0.00060269 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=  -0.00100224,  fd=  -0.00049863,  err=  -0.00050362 (at   13.31367492   -0.02810351    0.59864461)
...too many errors to list
    d(Face)/d(fuse) check complete with       54 total errors (errmax=  6.4253e-04)
iedge=   1, ipnt=   1 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000    0.05852709    0.00576834)
iedge=   1, ipnt=  17 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000    0.05852709    0.59423166)
iedge=   1, ipnt=  18 (Z): anal=   0.00273238,  fd=   0.00239147,  err=   0.00034091 (at   14.00000000    0.02940488    0.59855116)
iedge=   2, ipnt=   1 (Z): anal=   0.00273238,  fd=   0.00239147,  err=   0.00034091 (at   14.00000000   -0.02940488    0.59855116)
iedge=   2, ipnt=   2 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000   -0.05852709    0.59423166)
iedge=   2, ipnt=  18 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000   -0.05852709    0.00576834)
iedge=   4, ipnt=   0 (Z): anal=   0.80016865,  fd=  -0.00000000,  err=   0.80016865 (at   13.98028880    0.00000000    0.60000004)
iedge=   4, ipnt=   1 (Z): anal=   1.00000000,  fd=   0.00000000,  err=   1.00000000 (at   14.00000000    0.00000000    0.60000000)
iedge=   6, ipnt=  14 (Z): anal=   0.00211674,  fd=   0.00198922,  err=   0.00012752 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=   0.00243712,  fd=   0.00227093,  err=   0.00016619 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=   0.00240616,  fd=   0.00221548,  err=   0.00019068 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=   0.00205761,  fd=   0.00186414,  err=   0.00019347 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=   0.00146938,  fd=   0.00130240,  err=   0.00016697 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=   0.00074440,  fd=   0.00064024,  err=   0.00010416 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  21 (Z): anal=  -0.00064184,  fd=  -0.00049567,  err=  -0.00014617 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=  -0.00101198,  fd=  -0.00070184,  err=  -0.00031013 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=  -0.00105844,  fd=  -0.00059371,  err=  -0.00046474 (at   13.28431822    0.02911625    0.59854765)
iedge=   6, ipnt=  24 (Z): anal=  -0.00082638,  fd=  -0.00024324,  err=  -0.00058314 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iedge=  15, ipnt=   2 (Z): anal=   0.00023582,  fd=   0.00038944,  err=  -0.00015362 (at   13.82088277   -0.00831603    0.59988174)
iedge=  15, ipnt=   3 (Z): anal=   0.00038423,  fd=   0.00072727,  err=  -0.00034304 (at   13.73926675   -0.01180407    0.59975950)
iedge=  15, ipnt=   4 (Z): anal=   0.00032875,  fd=   0.00083618,  err=  -0.00050742 (at   13.65646032   -0.01521815    0.59959887)
iedge=  15, ipnt=   5 (Z): anal=   0.00006784,  fd=   0.00068072,  err=  -0.00061288 (at   13.57250017   -0.01855678    0.59940340)
iedge=  15, ipnt=   6 (Z): anal=  -0.00032323,  fd=   0.00032226,  err=  -0.00064550 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=  -0.00072591,  fd=  -0.00011946,  err=  -0.00060645 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=  -0.00101031,  fd=  -0.00050264,  err=  -0.00050767 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=  -0.00106537,  fd=  -0.00069720,  err=  -0.00036817 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=  -0.00082741,  fd=  -0.00061649,  err=  -0.00021093 (at   13.13476445   -0.03404944    0.59803395)
iedge=  15, ipnt=  13 (Z): anal=   0.00110335,  fd=   0.00096402,  err=   0.00013933 (at   12.85383750   -0.04221553    0.59705052)
...too many errors to list
    d(Edge)/d(fuse) check complete with       38 total errors (errmax=  1.0000e+00)
inode=   4, ipnt=   0 (Z): anal=   0.80016865,  fd=  -0.00000000,  err=   0.80016865 (at   13.98028880    0.00000000    0.60000004)
inode=  11, ipnt=   0 (Z): anal=  -0.00187603,  fd=  -0.00203189,  err=   0.00015586 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00190037,  fd=  -0.00203189,  err=   0.00013151 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(fuse) check complete with        3 total errors (errmax=  8.0017e-01)

*********************************************************
Starting configuration sensitivity wrt "fuse[15,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "fuse[15,4]" for ibody=84
iface=   2, ipnt= 196 (Z): anal=   0.30540034,  fd=   0.30552394,  err=  -0.00012359 (at   12.36362038    0.05197287    0.59560841)
iface=   2, ipnt= 197 (Z): anal=   0.38261001,  fd=   0.38277146,  err=  -0.00016145 (at   12.47941958    0.05031445    0.59588851)
iface=   2, ipnt= 198 (Z): anal=   0.42062529,  fd=   0.42081101,  err=  -0.00018571 (at   12.59047664    0.04830927    0.59620087)
iface=   2, ipnt= 199 (Z): anal=   0.40935562,  fd=   0.40954453,  err=  -0.00018891 (at   12.69751818    0.04604137    0.59653177)
iface=   2, ipnt= 200 (Z): anal=   0.34025547,  fd=   0.34041890,  err=  -0.00016343 (at   12.80120193    0.04356695    0.59687222)
iface=   2, ipnt= 201 (Z): anal=   0.20570683,  fd=   0.20580894,  err=  -0.00010211 (at   12.90205864    0.04092473    0.59721630)
iface=   2, ipnt= 203 (Z): anal=  -0.27816762,  fd=  -0.27831229,  err=   0.00014467 (at   13.09684443    0.03523859    0.59790044)
iface=   2, ipnt= 204 (Z): anal=  -0.58889256,  fd=  -0.58919983,  err=   0.00030727 (at   13.19137784    0.03222704    0.59823148)
iface=   2, ipnt= 205 (Z): anal=  -0.89259282,  fd=  -0.89305401,  err=   0.00046120 (at   13.28431822    0.02911625    0.59854765)
iface=   2, ipnt= 206 (Z): anal=  -1.15182843,  fd=  -1.15240806,  err=   0.00057963 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iface=   3, ipnt= 183 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000   -0.05852709    0.00576834)
iface=   3, ipnt= 199 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000   -0.05852709    0.59423166)
iface=   3, ipnt= 200 (Z): anal=   0.98763322,  fd=   0.98797414,  err=  -0.00034091 (at   14.00000000   -0.02940488    0.59855116)
iface=   3, ipnt= 205 (Z): anal=  -0.61683708,  fd=  -0.61698927,  err=   0.00015219 (at   13.82088277   -0.00831603    0.59988174)
iface=   3, ipnt= 206 (Z): anal=  -1.04916904,  fd=  -1.04951087,  err=   0.00034183 (at   13.73926675   -0.01180407    0.59975950)
iface=   3, ipnt= 207 (Z): anal=  -1.30298031,  fd=  -1.30348631,  err=   0.00050600 (at   13.65646032   -0.01521815    0.59959887)
iface=   3, ipnt= 208 (Z): anal=  -1.39877482,  fd=  -1.39938569,  err=   0.00061086 (at   13.57250017   -0.01855678    0.59940340)
iface=   3, ipnt= 209 (Z): anal=  -1.35975591,  fd=  -1.36039863,  err=   0.00064273 (at   13.48739818   -0.02181849    0.59917671)
iface=   3, ipnt= 210 (Z): anal=  -1.21152206,  fd=  -1.21212512,  err=   0.00060305 (at   13.40113870   -0.02500152    0.59892251)
iface=   3, ipnt= 211 (Z): anal=  -0.98187468,  fd=  -0.98237875,  err=   0.00050407 (at   13.31367492   -0.02810351    0.59864461)
...too many errors to list
    d(Face)/d(fuse) check complete with       54 total errors (errmax=  6.4273e-04)
iedge=   1, ipnt=   1 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000    0.05852709    0.00576834)
iedge=   1, ipnt=  17 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000    0.05852709    0.59423166)
iedge=   1, ipnt=  18 (Z): anal=   0.98763322,  fd=   0.98797414,  err=  -0.00034091 (at   14.00000000    0.02940488    0.59855116)
iedge=   2, ipnt=   1 (Z): anal=   0.98763322,  fd=   0.98797414,  err=  -0.00034091 (at   14.00000000   -0.02940488    0.59855116)
iedge=   2, ipnt=   2 (Z): anal=   0.95254156,  fd=   0.95275088,  err=  -0.00020933 (at   14.00000000   -0.05852709    0.59423166)
iedge=   2, ipnt=  18 (Z): anal=   0.00945789,  fd=   0.00924856,  err=   0.00020933 (at   14.00000000   -0.05852709    0.00576834)
iedge=   4, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.80017097,  err=  -0.80017097 (at   13.98028880    0.00000000    0.60000004)
iedge=   4, ipnt=   1 (Z): anal=   0.00000000,  fd=   1.00000000,  err=  -1.00000000 (at   14.00000000    0.00000000    0.60000000)
iedge=   6, ipnt=  14 (Z): anal=   0.31520922,  fd=   0.31533678,  err=  -0.00012756 (at   12.36362038    0.05197287    0.59560841)
iedge=   6, ipnt=  15 (Z): anal=   0.39391810,  fd=   0.39408432,  err=  -0.00016623 (at   12.47941958    0.05031445    0.59588851)
iedge=   6, ipnt=  16 (Z): anal=   0.43189159,  fd=   0.43208227,  err=  -0.00019069 (at   12.59047664    0.04830927    0.59620087)
iedge=   6, ipnt=  17 (Z): anal=   0.41915433,  fd=   0.41934776,  err=  -0.00019343 (at   12.69751818    0.04604137    0.59653177)
iedge=   6, ipnt=  18 (Z): anal=   0.34743503,  fd=   0.34760191,  err=  -0.00016688 (at   12.80120193    0.04356695    0.59687222)
iedge=   6, ipnt=  19 (Z): anal=   0.20947881,  fd=   0.20958280,  err=  -0.00010398 (at   12.90205864    0.04092473    0.59721630)
iedge=   6, ipnt=  21 (Z): anal=  -0.28183582,  fd=  -0.28198239,  err=   0.00014658 (at   13.09684443    0.03523859    0.59790044)
iedge=   6, ipnt=  22 (Z): anal=  -0.59528282,  fd=  -0.59559343,  err=   0.00031060 (at   13.19137784    0.03222704    0.59823148)
iedge=   6, ipnt=  23 (Z): anal=  -0.90035647,  fd=  -0.90082168,  err=   0.00046521 (at   13.28431822    0.02911625    0.59854765)
iedge=   6, ipnt=  24 (Z): anal=  -1.15959412,  fd=  -1.16017765,  err=   0.00058353 (at   13.37582349    0.02591234    0.59884395)
...too many errors to list
iedge=  15, ipnt=   2 (Z): anal=  -0.61711077,  fd=  -0.61726303,  err=   0.00015226 (at   13.82088277   -0.00831603    0.59988174)
iedge=  15, ipnt=   3 (Z): anal=  -1.05033379,  fd=  -1.05067600,  err=   0.00034221 (at   13.73926675   -0.01180407    0.59975950)
iedge=  15, ipnt=   4 (Z): anal=  -1.30563646,  fd=  -1.30614349,  err=   0.00050703 (at   13.65646032   -0.01521815    0.59959887)
iedge=  15, ipnt=   5 (Z): anal=  -1.40326795,  fd=  -1.40388077,  err=   0.00061283 (at   13.57250017   -0.01855678    0.59940340)
iedge=  15, ipnt=   6 (Z): anal=  -1.36603171,  fd=  -1.36667740,  err=   0.00064569 (at   13.48739818   -0.02181849    0.59917671)
iedge=  15, ipnt=   7 (Z): anal=  -1.21907373,  fd=  -1.21968054,  err=   0.00060681 (at   13.40113870   -0.02500152    0.59892251)
iedge=  15, ipnt=   8 (Z): anal=  -0.98978015,  fd=  -0.99028828,  err=   0.00050813 (at   13.31367492   -0.02810351    0.59864461)
iedge=  15, ipnt=   9 (Z): anal=  -0.70781702,  fd=  -0.70818567,  err=   0.00036865 (at   13.22492462   -0.03112108    0.59834699)
iedge=  15, ipnt=  10 (Z): anal=  -0.40535340,  fd=  -0.40556476,  err=   0.00021136 (at   13.13476445   -0.03404944    0.59803395)
iedge=  15, ipnt=  13 (Z): anal=   0.28457814,  fd=   0.28471734,  err=  -0.00013920 (at   12.85383750   -0.04221553    0.59705052)
...too many errors to list
    d(Edge)/d(fuse) check complete with       38 total errors (errmax=  1.0000e+00)
inode=   4, ipnt=   0 (Z): anal=  -0.00000076,  fd=   0.80017021,  err=  -0.80017097 (at   13.98028880    0.00000000    0.60000004)
    d(Node)/d(fuse) check complete with        1 total errors (errmax=  8.0017e-01)
 

*********************************************************
Starting configuration sensitivity wrt "wing[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[1,1]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.7406e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  3.2946e-05)
inode=   7, ipnt=   0 (X): anal=   0.46808906,  fd=   0.45878311,  err=   0.00930596 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.00140166,  fd=  -0.00218547,  err=   0.00358713 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00748232,  fd=   0.00000000,  err=   0.00748232 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.48434115,  fd=   0.45878311,  err=   0.02555804 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00771306,  fd=   0.00218547,  err=  -0.00989853 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.02064639,  fd=   0.00000000,  err=   0.02064639 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  2.5558e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[1,2]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.6391e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  8.4919e-05)
inode=   7, ipnt=   0 (X): anal=  -1.40426719,  fd=  -1.37635059,  err=  -0.02791661 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00420499,  fd=   0.00655644,  err=  -0.01076143 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.02244695,  fd=   0.00000000,  err=  -0.02244695 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   1.45302346,  fd=   1.37634801,  err=   0.07667545 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.02313919,  fd=   0.00655638,  err=  -0.02969557 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.06193917,  fd=   0.00000000,  err=   0.06193917 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  7.6675e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[1,3]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.8489e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  6.9953e-05)
inode=   7, ipnt=   0 (X): anal=   0.69099299,  fd=   0.66799276,  err=   0.02300023 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.23153006,  fd=   0.22266425,  err=   0.00886581 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.48383188,  fd=   0.46533929,  err=   0.01849259 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.73104761,  fd=   0.66799276,  err=   0.06305485 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.24708506,  fd=  -0.22266425,  err=  -0.02442080 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.51627589,  fd=   0.46533929,  err=   0.05093660 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  6.3055e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[1,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[1,4]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  4.9604e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  3.2941e-05)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  3.4079e-05)

*********************************************************
Starting configuration sensitivity wrt "wing[1,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[1,5]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.1328e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  9.7407e-07)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.0075e-06)

*********************************************************
Starting configuration sensitivity wrt "wing[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[2,1]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.5985e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  3.2746e-05)
inode=   7, ipnt=   0 (X): anal=   0.53781964,  fd=   0.52712738,  err=   0.01069225 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.00161047,  fd=  -0.00251103,  err=   0.00412150 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.00859695,  fd=   0.00000000,  err=   0.00859695 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.55649278,  fd=   0.52712738,  err=   0.02936539 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.00886207,  fd=   0.00251103,  err=  -0.01137310 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.02372205,  fd=   0.00000000,  err=   0.02372205 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  2.9365e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[2,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[2,2]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  3.9817e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  9.7485e-05)
inode=   7, ipnt=   0 (X): anal=  -1.61345891,  fd=  -1.58138047,  err=  -0.03207843 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=  -0.00483140,  fd=   0.00753314,  err=  -0.01236454 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=  -0.02579084,  fd=   0.00000000,  err=  -0.02579084 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=  -1.66947833,  fd=  -1.58138048,  err=  -0.08809785 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=   0.02658620,  fd=  -0.00753314,  err=   0.03411933 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=  -0.07116616,  fd=   0.00000000,  err=  -0.07116616 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  8.8098e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[2,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[2,3]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  4.9674e-06)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  8.0370e-05)
inode=   7, ipnt=   0 (X): anal=   0.79392925,  fd=   0.76750334,  err=   0.02642591 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Y): anal=   0.26602077,  fd=   0.25583445,  err=   0.01018632 (at    5.60398146    0.53466049    0.20000000)
inode=   7, ipnt=   0 (Z): anal=   0.55590763,  fd=   0.53466074,  err=   0.02124689 (at    5.60398146    0.53466049    0.20000000)
inode=  15, ipnt=   0 (X): anal=   0.83995075,  fd=   0.76750334,  err=   0.07244741 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Y): anal=  -0.28389297,  fd=  -0.25583445,  err=  -0.02805852 (at    5.60398146   -0.53466049    0.20000000)
inode=  15, ipnt=   0 (Z): anal=   0.59318479,  fd=   0.53466074,  err=   0.05852404 (at    5.60398146   -0.53466049    0.20000000)
    d(Node)/d(wing) check complete with        6 total errors (errmax=  7.2447e-02)

*********************************************************
Starting configuration sensitivity wrt "wing[2,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[2,4]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.3968e-05)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  1.8293e-05)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.3548e-05)

*********************************************************
Starting configuration sensitivity wrt "wing[2,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[2,5]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.9988e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  2.1217e-07)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  2.0107e-07)

*********************************************************
Starting configuration sensitivity wrt "wing[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[3,1]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.8875e-09)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  2.8801e-09)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  7.4840e-10)

*********************************************************
Starting configuration sensitivity wrt "wing[3,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[3,2]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.7496e-09)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  2.7499e-09)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "wing[3,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[3,3]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.7496e-09)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  2.7499e-09)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.0001e-12)

*********************************************************
Starting configuration sensitivity wrt "wing[3,4]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[3,4]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.4118e-05)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  1.8411e-05)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.7643e-08)

*********************************************************
Starting configuration sensitivity wrt "wing[3,5]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "wing[3,5]" for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  8.0084e-08)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  7.0888e-08)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  7.2188e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xroot_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "xroot_h" for ibody=84
    d(Face)/d(xroot_h) check complete with        0 total errors (errmax=  1.5614e-07)
iedge=  12, ipnt=  21 (X): anal=   0.65396285,  fd=   0.65346929,  err=   0.00049356 (at   12.23585057    0.28526824    0.20878770)
iedge=  12, ipnt=  21 (Y): anal=   0.14377524,  fd=   0.14366667,  err=   0.00010857 (at   12.23585057    0.28526824    0.20878770)
iedge=  12, ipnt=  21 (Z): anal=   0.45344522,  fd=   0.45310302,  err=   0.00034221 (at   12.23585057    0.28526824    0.20878770)
    d(Edge)/d(xroot_h) check complete with        3 total errors (errmax=  4.9356e-04)
inode=  11, ipnt=   0 (X): anal=   0.99930679,  fd=   0.99949179,  err=  -0.00018500 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Y): anal=  -0.00152713,  fd=  -0.00108985,  err=  -0.00043728 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=  -0.00154100,  fd=  -0.00005712,  err=  -0.00148388 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (X): anal=   0.99933309,  fd=   0.99949179,  err=  -0.00015870 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=   0.00142393,  fd=   0.00108985,  err=   0.00033408 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=  -0.00119084,  fd=  -0.00005712,  err=  -0.00113373 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(xroot_h) check complete with        6 total errors (errmax=  1.4839e-03)
 

*********************************************************
Starting configuration sensitivity wrt "zroot_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "zroot_h" for ibody=84
    d(Face)/d(zroot_h) check complete with        0 total errors (errmax=  2.6519e-06)
iedge=  12, ipnt=  21 (X): anal=   0.60591366,  fd=   0.60655500,  err=  -0.00064134 (at   12.23585057    0.28526824    0.20878770)
iedge=  12, ipnt=  21 (Y): anal=   0.13321152,  fd=   0.13335081,  err=  -0.00013929 (at   12.23585057    0.28526824    0.20878770)
iedge=  12, ipnt=  21 (Z): anal=   0.42012884,  fd=   0.42057408,  err=  -0.00044524 (at   12.23585057    0.28526824    0.20878770)
iedge=  12, ipnt=  24 (X): anal=  -0.01411688,  fd=  -0.01441157,  err=   0.00029469 (at   12.23391938    0.28719104    0.21505104)
iedge=  23, ipnt=  22 (X): anal=   0.00998028,  fd=   0.01010459,  err=  -0.00012432 (at   12.23391938   -0.28719104    0.21505104)
    d(Edge)/d(zroot_h) check complete with        5 total errors (errmax=  6.4134e-04)
inode=  11, ipnt=   0 (X): anal=   0.13822536,  fd=   0.13956264,  err=  -0.00133728 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Y): anal=   0.29611663,  fd=   0.29929304,  err=  -0.00317641 (at   12.23391938    0.28719104    0.21505104)
inode=  11, ipnt=   0 (Z): anal=   1.00489972,  fd=   1.01568528,  err=  -0.01078556 (at   12.23391938    0.28719104    0.21505104)
inode=  19, ipnt=   0 (X): anal=   0.13825772,  fd=   0.13956264,  err=  -0.00130492 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Y): anal=  -0.29656653,  fd=  -0.29929304,  err=   0.00272651 (at   12.23391938   -0.28719104    0.21505104)
inode=  19, ipnt=   0 (Z): anal=   1.00642590,  fd=   1.01568528,  err=  -0.00925938 (at   12.23391938   -0.28719104    0.21505104)
    d(Node)/d(zroot_h) check complete with        6 total errors (errmax=  1.0786e-02)
 

*********************************************************
Starting configuration sensitivity wrt "aroot_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "aroot_h" for ibody=84
    d(Face)/d(aroot_h) check complete with        0 total errors (errmax=  2.5979e-07)
    d(Edge)/d(aroot_h) check complete with        0 total errors (errmax=  2.1194e-07)
    d(Node)/d(aroot_h) check complete with        0 total errors (errmax=  8.6085e-08)
 

*********************************************************
Starting configuration sensitivity wrt "area_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "area_h" for ibody=84
    d(Face)/d(area_h) check complete with        0 total errors (errmax=  2.0287e-06)
    d(Edge)/d(area_h) check complete with        0 total errors (errmax=  2.9462e-06)
    d(Node)/d(area_h) check complete with        0 total errors (errmax=  2.9534e-06)
 

*********************************************************
Starting configuration sensitivity wrt "taper_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "taper_h" for ibody=84
    d(Face)/d(taper_h) check complete with        0 total errors (errmax=  1.9215e-05)
    d(Edge)/d(taper_h) check complete with        0 total errors (errmax=  2.2435e-05)
    d(Node)/d(taper_h) check complete with        0 total errors (errmax=  2.1604e-05)
 

*********************************************************
Starting configuration sensitivity wrt "aspect_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "aspect_h" for ibody=84
    d(Face)/d(aspect_h) check complete with        0 total errors (errmax=  3.9942e-06)
    d(Edge)/d(aspect_h) check complete with        0 total errors (errmax=  5.2182e-06)
    d(Node)/d(aspect_h) check complete with        0 total errors (errmax=  5.2335e-06)
 

*********************************************************
Starting configuration sensitivity wrt "sweep_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "sweep_h" for ibody=84
    d(Face)/d(sweep_h) check complete with        0 total errors (errmax=  7.9453e-09)
    d(Edge)/d(sweep_h) check complete with        0 total errors (errmax=  2.9999e-06)
    d(Node)/d(sweep_h) check complete with        0 total errors (errmax=  9.0551e-06)
 

*********************************************************
Starting configuration sensitivity wrt "dihed_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "dihed_h" for ibody=84
    d(Face)/d(dihed_h) check complete with        0 total errors (errmax=  1.5807e-08)
    d(Edge)/d(dihed_h) check complete with        0 total errors (errmax=  3.2328e-06)
    d(Node)/d(dihed_h) check complete with        0 total errors (errmax=  5.4211e-05)
 

*********************************************************
Starting configuration sensitivity wrt "twist_h"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "twist_h" for ibody=84
    d(Face)/d(twist_h) check complete with        0 total errors (errmax=  8.3142e-08)
    d(Edge)/d(twist_h) check complete with        0 total errors (errmax=  9.7520e-08)
    d(Node)/d(twist_h) check complete with        0 total errors (errmax=  6.9016e-09)
 

*********************************************************
Starting configuration sensitivity wrt "xroot_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "xroot_v" for ibody=84
    d(Face)/d(xroot_v) check complete with        0 total errors (errmax=  5.6261e-07)
    d(Edge)/d(xroot_v) check complete with        0 total errors (errmax=  5.8850e-05)
    d(Node)/d(xroot_v) check complete with        0 total errors (errmax=  1.6190e-05)
 

*********************************************************
Starting configuration sensitivity wrt "zroot_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "zroot_v" for ibody=84
    d(Face)/d(zroot_v) check complete with        0 total errors (errmax=  2.6500e-07)
    d(Edge)/d(zroot_v) check complete with        0 total errors (errmax=  5.8348e-05)
    d(Node)/d(zroot_v) check complete with        0 total errors (errmax=  7.7089e-06)
 

*********************************************************
Starting configuration sensitivity wrt "area_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "area_v" for ibody=84
    d(Face)/d(area_v) check complete with        0 total errors (errmax=  1.5281e-06)
    d(Edge)/d(area_v) check complete with        0 total errors (errmax=  2.8579e-06)
    d(Node)/d(area_v) check complete with        0 total errors (errmax=  2.3206e-06)
 

*********************************************************
Starting configuration sensitivity wrt "taper_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "taper_v" for ibody=84
    d(Face)/d(taper_v) check complete with        0 total errors (errmax=  2.2458e-05)
    d(Edge)/d(taper_v) check complete with        0 total errors (errmax=  4.2033e-05)
    d(Node)/d(taper_v) check complete with        0 total errors (errmax=  3.1719e-05)
 

*********************************************************
Starting configuration sensitivity wrt "aspect_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "aspect_v" for ibody=84
    d(Face)/d(aspect_v) check complete with        0 total errors (errmax=  4.8965e-06)
    d(Edge)/d(aspect_v) check complete with        0 total errors (errmax=  9.1621e-06)
    d(Node)/d(aspect_v) check complete with        0 total errors (errmax=  7.0385e-06)
 

*********************************************************
Starting configuration sensitivity wrt "sweep_v"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84

Comparing configuration sensitivities wrt "sweep_v" for ibody=84
    d(Face)/d(sweep_v) check complete with        0 total errors (errmax=  5.1296e-09)
    d(Edge)/d(sweep_v) check complete with        0 total errors (errmax=  2.0487e-07)
    d(Node)/d(sweep_v) check complete with        0 total errors (errmax=  5.6514e-08)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     27.803 sec

Sensitivity checks complete with     1293 tnotal errors (max config err=  1.0000e+00) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/design9.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "fuse[1,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6389e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0259e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.2758e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[1,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.8851e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.7565e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.7070e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[1,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  6.6879e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.4411e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.7997e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[1,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[1,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  6.8188e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.2535e-08)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  7.8250e-08)

*********************************************************
Starting tessellation sensitivity wrt "fuse[2,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[2,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.7970e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.7970e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.0024e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[2,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[2,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.0412e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.5299e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.6959e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[2,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[2,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.0944e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.0180e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.6666e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[2,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[2,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.5976e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.3515e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.5981e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[3,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[3,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.2874e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.2874e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.0354e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[3,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[3,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.8482e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.6397e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.2647e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[3,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[3,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.4994e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.8562e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.4407e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[3,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[3,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.5017e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.1730e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  8.9566e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[4,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[4,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.2985e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.0012e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.7657e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[4,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[4,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.4729e-05)
iedge=  20, ipnt=   0: anal=   5.60443666   -0.53482161    0.20013886, ptrb=   5.60426491   -0.53475497    0.20000000, dist=   0.00023070 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  2.3070e-04)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.4138e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[4,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[4,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.7482e-06)
iedge=  20, ipnt=   8: anal=   5.60525958   -0.50143324    0.14013933, ptrb=   5.58089397   -0.51206563    0.15712619, dist=   0.03154813 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62276877   -0.49779776    0.13489985, ptrb=   5.58492924   -0.50886897    0.15178505, dist=   0.04288953 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68555553   -0.49038074    0.12547816, ptrb=   5.60255999   -0.50213305    0.14118513, dist=   0.08528239 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74325626   -0.48677527    0.12191542, ptrb=   5.61997706   -0.49829843    0.13560122, dist=   0.12457064 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83405517   -0.48387095    0.12039925, ptrb=   5.64582312   -0.49438689    0.13031774, dist=   0.18878630 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93416548   -0.48283224    0.12172259, ptrb=   5.68476175   -0.49044528    0.12555022, dist=   0.24954926 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02163222   -0.48302238    0.12432733, ptrb=   5.74637009   -0.48662976    0.12179715, dist=   0.27529740 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7530e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  9.4033e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[4,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[4,4]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.6174e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.8425e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.2663e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[5,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[5,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.5803e-06)
iedge=  20, ipnt=   8: anal=   5.60534946   -0.50145038    0.14013173, ptrb=   5.58097004   -0.51207299    0.15710304, dist=   0.03154713 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62286153   -0.49781525    0.13489404, ptrb=   5.58502013   -0.50887574    0.15176050, dist=   0.04288104 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68561879   -0.49039826    0.12547810, ptrb=   5.60269820   -0.50213691    0.14115741, dist=   0.08520247 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74327382   -0.48679041    0.12191701, ptrb=   5.62014664   -0.49830182    0.13557533, dist=   0.12441609 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83402301   -0.48387993    0.12039962, ptrb=   5.64603476   -0.49438916    0.13029442, dist=   0.18854160 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93412327   -0.48283500    0.12172157, ptrb=   5.68503688   -0.49044561    0.12553086, dist=   0.24923173 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02158981   -0.48302135    0.12432587, ptrb=   5.74675632   -0.48662769    0.12178506, dist=   0.27486890 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7487e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.2441e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[5,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[5,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  6.3689e-05)
iedge=   9, ipnt=   0: anal=   5.60205538    0.53398159    0.19943849, ptrb=   5.60274801    0.53424934    0.20000000, dist=   0.00093098 (at    5.60398146    0.53466049    0.20000000)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  9.3098e-04)
inode=  15:            anal=   5.60267493   -0.53422080    0.19993744, ptrb=   5.60274801   -0.53424934    0.20000000, dist=   0.00010035 (at    5.60274801   -0.53424934    0.20000000)
    d(Node)/d(fuse) check complete with        1 total errors (errmax=  1.0035e-04)

*********************************************************
Starting tessellation sensitivity wrt "fuse[5,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[5,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.4964e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.4989e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.9778e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[5,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[5,4]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.1532e-05)
iedge=  20, ipnt=   8: anal=   5.60461386   -0.50137074    0.14023355, ptrb=   5.58050249   -0.51193806    0.15712794, dist=   0.03128014 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62210769   -0.49772379    0.13496659, ptrb=   5.58453654   -0.50873970    0.15178435, dist=   0.04261195 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68522263   -0.49027454    0.12547497, ptrb=   5.60218045   -0.50200286    0.14117943, dist=   0.08532401 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74349663   -0.48666334    0.12189180, ptrb=   5.61961226   -0.49817142    0.13559486, dist=   0.12517008 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83500856   -0.48379353    0.12039730, ptrb=   5.64548710   -0.49426571    0.13031048, dist=   0.19006925 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93514003   -0.48280905    0.12174571, ptrb=   5.68448246   -0.49033443    0.12554209, dist=   0.25079925 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02251200   -0.48303420    0.12435811, ptrb=   5.74621211   -0.48653794    0.12178934, dist=   0.27633404 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7633e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.8717e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[6,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[6,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.7390e-06)
iedge=  20, ipnt=   8: anal=   5.60519321   -0.50144335    0.14015982, ptrb=   5.58086616   -0.51201529    0.15707232, dist=   0.03145797 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62271858   -0.49781253    0.13491512, ptrb=   5.58494366   -0.50881760    0.15172519, dist=   0.04278591 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68567377   -0.49040637    0.12547627, ptrb=   5.60272659   -0.50207933    0.14111187, dist=   0.08521130 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74362259   -0.48681460    0.12190923, ptrb=   5.62025496   -0.49825172    0.13553178, dist=   0.12464330 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83472710   -0.48394401    0.12040394, ptrb=   5.64626307   -0.49434991    0.13025367, dist=   0.18900791 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93486456   -0.48294341    0.12173773, ptrb=   5.68546331   -0.49042299    0.12549518, dist=   0.24954167 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02229387   -0.48315734    0.12434501, ptrb=   5.74755218   -0.48663321    0.12176168, dist=   0.27477582 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7478e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  5.7759e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[6,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[6,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  9.9856e-05)
iedge=   9, ipnt=   0: anal=   5.60095964    0.53359537    0.19911905, ptrb=   5.60205927    0.53401976    0.20000000, dist=   0.00147152 (at    5.60398146    0.53466049    0.20000000)
iedge=  10, ipnt=  53: anal=   5.60215003    0.53405531    0.20007841, ptrb=   5.60205927    0.53401976    0.20000000, dist=   0.00012510 (at    5.60398146    0.53466049    0.20000000)
iedge=  43, ipnt=  16: anal=   5.60192968   -0.53397656    0.20000000, ptrb=   5.60205927   -0.53401976    0.20000000, dist=   0.00013659 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(fuse) check complete with        3 total errors (errmax=  1.4715e-03)
inode=  15:            anal=   5.60193165   -0.53397066    0.19990185, ptrb=   5.60205927   -0.53401976    0.20000000, dist=   0.00016832 (at    5.60205927   -0.53401976    0.20000000)
    d(Node)/d(fuse) check complete with        1 total errors (errmax=  1.6832e-04)

*********************************************************
Starting tessellation sensitivity wrt "fuse[6,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[6,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.9206e-05)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  9.1168e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.3776e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[6,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[6,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.4985e-05)
iedge=  20, ipnt=   8: anal=   5.60452347   -0.50135162    0.14023997, ptrb=   5.58047547   -0.51190786    0.15710006, dist=   0.03120903 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62197377   -0.49770009    0.13497574, ptrb=   5.58451613   -0.50870807    0.15175771, dist=   0.04249570 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68498069   -0.49022414    0.12547935, ptrb=   5.60217188   -0.50196418    0.14115485, dist=   0.08509318 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74330414   -0.48658198    0.12188643, ptrb=   5.61960922   -0.49812587    0.13557173, dist=   0.12498393 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83504801   -0.48367308    0.12039164, ptrb=   5.64548719   -0.49421038    0.13028964, dist=   0.19011131 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93532289   -0.48266262    0.12175164, ptrb=   5.68448199   -0.49026488    0.12552465, dist=   0.25098444 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02277511   -0.48287377    0.12437443, ptrb=   5.74620318   -0.48644697    0.12177710, dist=   0.27660720 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7661e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.4616e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[7,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[7,1]=   0.00700000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.3193e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.4323e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.8754e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[7,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[7,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.8759e-05)
iedge=  20, ipnt=   0: anal=   5.60457104   -0.53486951    0.20018483, ptrb=   5.60434269   -0.53478090    0.20000000, dist=   0.00030685 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  3.0685e-04)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.0528e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[7,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[7,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.3676e-06)
iedge=  20, ipnt=   8: anal=   5.60533878   -0.50143829    0.14012607, ptrb=   5.58091829   -0.51208276    0.15713813, dist=   0.03160816 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62287565   -0.49780471    0.13488655, ptrb=   5.58494959   -0.50888762    0.15179786, dist=   0.04297918 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68572538   -0.49039827    0.12547063, ptrb=   5.60256365   -0.50215704    0.14120075, dist=   0.08544928 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74340916   -0.48680297    0.12191444, ptrb=   5.61996404   -0.49832633    0.13561783, dist=   0.12473680 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83410675   -0.48390395    0.12040091, ptrb=   5.64578310   -0.49441961    0.13033466, dist=   0.18887842 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93414011   -0.48285180    0.12172177, ptrb=   5.68467290   -0.49048374    0.12556620, dist=   0.24961353 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02157442   -0.48301337    0.12432567, ptrb=   5.74617773   -0.48667363    0.12180912, dist=   0.27543251 (at    6.02196057   -0.48302735    0.12433880)
    d(Edge)/d(fuse) check complete with        7 total errors (errmax=  2.7543e-01)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.2034e-05)

*********************************************************
Starting tessellation sensitivity wrt "fuse[7,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[7,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.8586e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.2925e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.6235e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[8,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[8,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.5354e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.4804e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  7.1812e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[8,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[8,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.0152e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.2128e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  8.1842e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[8,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[8,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.3775e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.3682e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.2314e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[8,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[8,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.0352e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.4605e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.2654e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[9,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[9,1]=   0.00900000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  7.1157e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0938e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.7499e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[9,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[9,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6789e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.0757e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.1962e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[9,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[9,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.7581e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.5758e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  8.6599e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[9,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[9,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.0488e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.4281e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.3560e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[10,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[10,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  5.1843e-06)
iedge=   9, ipnt=  40: anal=  10.00175865    0.28481476    0.20455109, ptrb=  10.00064260    0.28495790    0.20481949, dist=   0.00115676 (at   10.00064278    0.28446449    0.20482088)
iedge=  10, ipnt=   0: anal=   9.99962098    0.28159289    0.19516348, ptrb=   9.99935615    0.28160691    0.19517109, dist=   0.00026531 (at    9.99935596    0.28111675    0.19516971)
iedge=  18, ipnt=   0: anal=  10.00077266   -0.28494286    0.20478821, ptrb=  10.00064260   -0.28495790    0.20481949, dist=   0.00013462 (at   10.00064278   -0.28446449    0.20482088)
iedge=  20, ipnt=  53: anal=  10.00004914   -0.28156723    0.19515118, ptrb=   9.99935615   -0.28160691    0.19517109, dist=   0.00069441 (at    9.99935596   -0.28111675    0.19516971)
    d(Edge)/d(fuse) check complete with        4 total errors (errmax=  1.1568e-03)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.8630e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[10,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[10,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.6238e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.2903e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  5.9044e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[10,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[10,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.2607e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  8.6116e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.3498e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[10,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[10,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.4928e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.1733e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  8.9058e-08)

*********************************************************
Starting tessellation sensitivity wrt "fuse[11,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[11,1]=   0.01100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.9333e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.4277e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.5705e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[11,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[11,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.5274e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.9334e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.8794e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[11,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[11,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.5036e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  5.8006e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  9.0742e-08)

*********************************************************
Starting tessellation sensitivity wrt "fuse[11,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[11,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.0265e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.0106e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.1654e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[12,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[12,1]=   0.01200000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  6.0715e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.7999e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.2545e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[12,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[12,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  4.5533e-06)
iedge=  23, ipnt=  22: anal=  12.23349021   -0.28626632    0.21480171, ptrb=  12.23351607   -0.28632614    0.21500572, dist=   0.00021416 (at   12.23391938   -0.28719104    0.21505104)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  2.1416e-04)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.7784e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[12,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[12,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.0509e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  4.1927e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.4280e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[12,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[12,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  9.8816e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  2.3583e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  6.3101e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[13,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[13,1]=   0.01300000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  2.1337e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.5223e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.3569e-08)

*********************************************************
Starting tessellation sensitivity wrt "fuse[13,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[13,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.5722e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.6570e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.0809e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[13,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[13,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.7854e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.3088e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  2.6737e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[13,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[13,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  8.2487e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.3248e-06)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  4.6701e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[14,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[14,1]=   0.01390000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.1341e-07)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.0318e-08)

*********************************************************
Starting tessellation sensitivity wrt "fuse[14,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[14,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  3.0238e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  6.8178e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  1.1898e-06)

*********************************************************
Starting tessellation sensitivity wrt "fuse[14,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[14,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  6.5248e-06)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.3770e-05)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  3.0602e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[14,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[14,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
iface=   2, ipnt= 214: anal=  13.98034527    0.00000000    0.60000004, ptrb=  13.98034732    0.00000001    0.60019965, dist=   0.00019962 (at   13.98028880    0.00000000    0.60000004)
iface=   3, ipnt= 202: anal=  13.98034527    0.00000000    0.60000004, ptrb=  13.98034732   -0.00000001    0.60019965, dist=   0.00019962 (at   13.98028880    0.00000000    0.60000004)
    d(Face)/d(fuse) check complete with        2 total errors (errmax=  1.9962e-04)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  1.8283e-05)
inode=   4:            anal=  13.98034527    0.00000000    0.60000004, ptrb=  13.98034511    0.00000000    0.60019967, dist=   0.00019963 (at   13.98034511    0.00000000    0.60019967)
    d(Node)/d(fuse) check complete with        1 total errors (errmax=  1.9963e-04)

*********************************************************
Starting tessellation sensitivity wrt "fuse[15,1]"
*********************************************************

Generating perturbed configuration with delta-fuse[15,1]=   0.01400000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
iface=   1, ipnt=   0: anal=  14.00000000   -0.00000000    0.00000000, ptrb=  14.01400000   -0.00000000    0.00000000, dist=   0.01400000 (at   14.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=  19: anal=  14.00000000    0.00000000    0.60000000, ptrb=  14.01400000    0.00000000    0.60000000, dist=   0.01400000 (at   14.00000000    0.00000000    0.60000000)
    d(Face)/d(fuse) check complete with        2 total errors (errmax=  1.4000e-02)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  7.4694e-08)
inode=   1:            anal=  14.00000000   -0.00000000    0.00000000, ptrb=  14.01400000   -0.00000000    0.00000000, dist=   0.01400000 (at   14.01400000   -0.00000000    0.00000000)
inode=   2:            anal=  14.00000000    0.00000000    0.60000000, ptrb=  14.01400000    0.00000000    0.60000000, dist=   0.01400000 (at   14.01400000    0.00000000    0.60000000)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.4000e-02)

*********************************************************
Starting tessellation sensitivity wrt "fuse[15,2]"
*********************************************************

Generating perturbed configuration with delta-fuse[15,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(fuse) check complete with        0 total errors (errmax=  1.1881e-06)
iedge=  12, ipnt=   0: anal=  13.95353278    0.28569776    0.21007188, ptrb=  13.95341950    0.28569609    0.21006414, dist=   0.00011356 (at   13.95349654    0.28620230    0.21008399)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  1.1356e-04)
    d(Node)/d(fuse) check complete with        0 total errors (errmax=  8.0027e-07)

*********************************************************
Starting tessellation sensitivity wrt "fuse[15,3]"
*********************************************************

Generating perturbed configuration with delta-fuse[15,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
iface=   2, ipnt=   0: anal=  14.00000000   -0.00000000    0.00000000, ptrb=  13.99999000   -0.00000000    0.00099990, dist=   0.00099995 (at   14.00000000   -0.00000000    0.00000000)
iface=   3, ipnt= 182: anal=  14.00000000   -0.00000000    0.00000000, ptrb=  13.99999000   -0.00000000    0.00099990, dist=   0.00099995 (at   14.00000000   -0.00000000    0.00000000)
    d(Face)/d(fuse) check complete with        2 total errors (errmax=  9.9995e-04)
    d(Edge)/d(fuse) check complete with        0 total errors (errmax=  3.7211e-05)
inode=   1:            anal=  14.00000000   -0.00000000    0.00000000, ptrb=  14.00000000   -0.00000000    0.00100000, dist=   0.00100000 (at   14.00000000   -0.00000000    0.00100000)
    d(Node)/d(fuse) check complete with        1 total errors (errmax=  1.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "fuse[15,4]"
*********************************************************

Generating perturbed configuration with delta-fuse[15,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
iface=   2, ipnt= 214: anal=  13.98051449    0.00000000    0.60000004, ptrb=  13.98050627    0.00000000    0.60080243, dist=   0.00080244 (at   13.98028880    0.00000000    0.60000004)
iface=   2, ipnt= 215: anal=  14.00000000    0.00000000    0.60000000, ptrb=  13.99999000    0.00000000    0.60099990, dist=   0.00099995 (at   14.00000000    0.00000000    0.60000000)
iface=   3, ipnt= 201: anal=  14.00000000    0.00000000    0.60000000, ptrb=  13.99999000    0.00000000    0.60099990, dist=   0.00099995 (at   14.00000000    0.00000000    0.60000000)
iface=   3, ipnt= 202: anal=  13.98051449    0.00000000    0.60000004, ptrb=  13.98050627    0.00000000    0.60080243, dist=   0.00080244 (at   13.98028880    0.00000000    0.60000004)
iface=   4, ipnt=   9: anal=  13.98051449    0.00000000    0.60000004, ptrb=  13.98030543    0.00000000    0.60005900, dist=   0.00021721 (at   13.98028880    0.00000000    0.60000004)
    d(Face)/d(fuse) check complete with        5 total errors (errmax=  9.9995e-04)
iedge=  15, ipnt=   0: anal=  13.98073913   -0.00111495    0.60079812, ptrb=  13.98051455   -0.00112548    0.60080043, dist=   0.00022483 (at   13.98028820   -0.00112572    0.59999791)
    d(Edge)/d(fuse) check complete with        1 total errors (errmax=  2.2483e-04)
inode=   2:            anal=  14.00000000    0.00000000    0.60000000, ptrb=  14.00000000    0.00000000    0.60100000, dist=   0.00100000 (at   14.00000000    0.00000000    0.60100000)
inode=   4:            anal=  13.98051449    0.00000000    0.60000004, ptrb=  13.98051515    0.00000000    0.60080252, dist=   0.00080249 (at   13.98051515    0.00000000    0.60080252)
    d(Node)/d(fuse) check complete with        2 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "wing[1,1]"
*********************************************************

Generating perturbed configuration with delta-wing[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  8.4259e-05)
iedge=  20, ipnt=   0: anal=   5.60592064   -0.53469212    0.20008421, ptrb=   5.60581675   -0.53465179    0.20000000, dist=   0.00013968 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(wing) check complete with        1 total errors (errmax=  1.3968e-04)
inode=  15:            anal=   5.60591883   -0.53469134    0.20008259, ptrb=   5.60581675   -0.53465179    0.20000000, dist=   0.00013713 (at    5.60581675   -0.53465179    0.20000000)
    d(Node)/d(wing) check complete with        1 total errors (errmax=  1.3713e-04)

*********************************************************
Starting tessellation sensitivity wrt "wing[1,2]"
*********************************************************

Generating perturbed configuration with delta-wing[1,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  6.3168e-05)
iedge=   9, ipnt=   0: anal=   5.60182828    0.53436701    0.19937417, ptrb=   5.60260382    0.53466707    0.20000000, dist=   0.00104076 (at    5.60398146    0.53466049    0.20000000)
iedge=  18, ipnt=   0: anal=  10.00225345   -0.28425454    0.20443146, ptrb=  10.00064252   -0.28446384    0.20481887, dist=   0.00167003 (at   10.00064278   -0.28446449    0.20482088)
iedge=  20, ipnt=   0: anal=   5.60618044   -0.53497313    0.20066576, ptrb=   5.60535652   -0.53465396    0.20000000, dist=   0.00110632 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(wing) check complete with        3 total errors (errmax=  1.6700e-03)
inode=  15:            anal=   5.60543449   -0.53468363    0.20006194, ptrb=   5.60535652   -0.53465396    0.20000000, dist=   0.00010390 (at    5.60535652   -0.53465396    0.20000000)
    d(Node)/d(wing) check complete with        1 total errors (errmax=  1.0390e-04)

*********************************************************
Starting tessellation sensitivity wrt "wing[1,3]"
*********************************************************

Generating perturbed configuration with delta-wing[1,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  5.2221e-05)
iedge=   9, ipnt=  40: anal=  10.00118137    0.28463356    0.20540620, ptrb=  10.00064269    0.28470247    0.20553551, dist=   0.00055825 (at   10.00064278    0.28446449    0.20482088)
iedge=  10, ipnt=   0: anal=   9.99973390    0.28136236    0.19587849, ptrb=   9.99935606    0.28138386    0.19588908, dist=   0.00037859 (at    9.99935596    0.28111675    0.19516971)
iedge=  18, ipnt=   0: anal=  10.00118137   -0.28463356    0.20540620, ptrb=  10.00064269   -0.28470247    0.20553551, dist=   0.00055825 (at   10.00064278   -0.28446449    0.20482088)
iedge=  20, ipnt=   0: anal=   5.60476282   -0.53492714    0.20055708, ptrb=   5.60464858   -0.53488286    0.20046512, dist=   0.00015320 (at    5.60398146   -0.53466049    0.20000000)
iedge=  20, ipnt=   8: anal=   5.60657487   -0.50154961    0.14043886, ptrb=   5.58161524   -0.51225198    0.15754706, dist=   0.03209695 (at    5.60499881   -0.50141051    0.14017902)
iedge=  20, ipnt=   9: anal=   5.62426318   -0.49794168    0.13523955, ptrb=   5.58571609   -0.50905447    0.15219899, dist=   0.04355451 (at    5.62249078   -0.49777017    0.13492967)
iedge=  20, ipnt=  10: anal=   5.68697954   -0.49063523    0.12595154, ptrb=   5.60358821   -0.50231318    0.14158043, dist=   0.08564315 (at    5.68537917   -0.49033847    0.12547997)
iedge=  20, ipnt=  11: anal=   5.74387759   -0.48711306    0.12245670, ptrb=   5.62119861   -0.49848443    0.13600028, dist=   0.12394704 (at    5.74329693   -0.48672925    0.12190758)
iedge=  20, ipnt=  12: anal=   5.83327689   -0.48426245    0.12093262, ptrb=   5.64733157   -0.49458165    0.13072460, dist=   0.18648869 (at    5.83438019   -0.48383795    0.12039827)
iedge=  20, ipnt=  13: anal=   5.93298288   -0.48322782    0.12220758, ptrb=   5.68673570   -0.49065455    0.12597322, dist=   0.24638792 (at    5.93452005   -0.48282177    0.12173102)
iedge=  20, ipnt=  14: anal=   6.02034808   -0.48342169    0.12478131, ptrb=   5.74918979   -0.48686819    0.12225770, dist=   0.27119193 (at    6.02196057   -0.48302735    0.12433880)
iedge=  20, ipnt=  53: anal=  10.00405217   -0.28110355    0.19575436, ptrb=   9.99935606   -0.28138386    0.19588908, dist=   0.00470640 (at    9.99935596   -0.28111675    0.19516971)
    d(Edge)/d(wing) check complete with       12 total errors (errmax=  2.7119e-01)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  8.5531e-05)

*********************************************************
Starting tessellation sensitivity wrt "wing[1,4]"
*********************************************************

Generating perturbed configuration with delta-wing[1,4]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  3.4010e-06)
iedge=  10, ipnt=   0: anal=  10.00444755    0.28085607    0.19514268, ptrb=  10.00366992    0.28090428    0.19516507, dist=   0.00077944 (at    9.99935596    0.28111675    0.19516971)
iedge=  18, ipnt=   0: anal=  10.00863682   -0.28377274    0.20393564, ptrb=  10.00493787   -0.28425500    0.20482549, dist=   0.00383492 (at   10.00064278   -0.28446449    0.20482088)
    d(Edge)/d(wing) check complete with        2 total errors (errmax=  3.8349e-03)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  2.0554e-06)

*********************************************************
Starting tessellation sensitivity wrt "wing[1,5]"
*********************************************************

Generating perturbed configuration with delta-wing[1,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  9.6496e-06)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.2928e-08)

*********************************************************
Starting tessellation sensitivity wrt "wing[2,1]"
*********************************************************

Generating perturbed configuration with delta-wing[2,1]=   0.00700000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
iface=  15, ipnt=  70: anal=   5.60787691   -0.53472252    0.20016605, ptrb=   5.60791058   -0.53472251    0.20000000, dist=   0.00016943 (at    5.60398146   -0.53466049    0.20000000)
    d(Face)/d(wing) check complete with        1 total errors (errmax=  1.6943e-04)
iedge=  10, ipnt=  53: anal=   5.60774982    0.53467336    0.20006351, ptrb=   5.60767172    0.53464307    0.20000000, dist=   0.00010512 (at    5.60398146    0.53466049    0.20000000)
iedge=  20, ipnt=   0: anal=   5.60788056   -0.53472409    0.20016932, ptrb=   5.60767172   -0.53464307    0.20000000, dist=   0.00028080 (at    5.60398146   -0.53466049    0.20000000)
    d(Edge)/d(wing) check complete with        2 total errors (errmax=  2.8080e-04)
inode=  15:            anal=   5.60787691   -0.53472252    0.20016605, ptrb=   5.60767172   -0.53464307    0.20000000, dist=   0.00027566 (at    5.60767172   -0.53464307    0.20000000)
    d(Node)/d(wing) check complete with        1 total errors (errmax=  2.7566e-04)

*********************************************************
Starting tessellation sensitivity wrt "wing[2,2]"
*********************************************************

Generating perturbed configuration with delta-wing[2,2]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  7.2391e-05)
iedge=   9, ipnt=   0: anal=   5.60150752    0.53432329    0.19928094, ptrb=   5.60240173    0.53466804    0.20000000, dist=   0.00119813 (at    5.60398146    0.53466049    0.20000000)
iedge=  10, ipnt=  53: anal=   5.60248374    0.53470048    0.20006771, ptrb=   5.60240173    0.53466804    0.20000000, dist=   0.00011119 (at    5.60398146    0.53466049    0.20000000)
    d(Edge)/d(wing) check complete with        2 total errors (errmax=  1.1981e-03)
inode=  15:            anal=   5.60231198   -0.53463390    0.19992883, ptrb=   5.60240173   -0.53466804    0.20000000, dist=   0.00011952 (at    5.60240173   -0.53466804    0.20000000)
    d(Node)/d(wing) check complete with        1 total errors (errmax=  1.1952e-04)

*********************************************************
Starting tessellation sensitivity wrt "wing[2,3]"
*********************************************************

Generating perturbed configuration with delta-wing[2,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  5.9424e-05)
iedge=   9, ipnt=  40: anal=  10.00165634    0.28442784    0.20486132, ptrb=  10.00064275    0.28455940    0.20510517, dist=   0.00105078 (at   10.00064278    0.28446449    0.20482088)
iedge=  10, ipnt=   0: anal=   9.99950375    0.28121279    0.19544688, ptrb=   9.99935600    0.28122153    0.19545123, dist=   0.00014807 (at    9.99935596    0.28111675    0.19516971)
iedge=  18, ipnt=   0: anal=  10.00085690   -0.28453171    0.20505358, ptrb=  10.00064275   -0.28455940    0.20510517, dist=   0.00022202 (at   10.00064278   -0.28446449    0.20482088)
iedge=  20, ipnt=   0: anal=   5.60487921   -0.53496686    0.20064007, ptrb=   5.60474859   -0.53491620    0.20053492, dist=   0.00017517 (at    5.60398146   -0.53466049    0.20000000)
iedge=  20, ipnt=  53: anal=  10.00119240   -0.28111159    0.19539834, ptrb=   9.99935600   -0.28122153    0.19545123, dist=   0.00184045 (at    9.99935596   -0.28111675    0.19516971)
    d(Edge)/d(wing) check complete with        5 total errors (errmax=  1.8404e-03)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  9.7430e-05)

*********************************************************
Starting tessellation sensitivity wrt "wing[2,4]"
*********************************************************

Generating perturbed configuration with delta-wing[2,4]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  2.0600e-07)
iedge=  10, ipnt=   0: anal=  10.00035148    0.28106578    0.19516443, ptrb=  10.00019907    0.28107497    0.19516881, dist=   0.00015276 (at    9.99935596    0.28111675    0.19516971)
iedge=  18, ipnt=   0: anal=  10.00223182   -0.28432699    0.20464491, ptrb=  10.00149617   -0.28442262    0.20482180, dist=   0.00076263 (at   10.00064278   -0.28446449    0.20482088)
    d(Edge)/d(wing) check complete with        2 total errors (errmax=  7.6263e-04)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.5124e-07)

*********************************************************
Starting tessellation sensitivity wrt "wing[2,5]"
*********************************************************

Generating perturbed configuration with delta-wing[2,5]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  1.8883e-06)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  5.4567e-10)

*********************************************************
Starting tessellation sensitivity wrt "wing[3,1]"
*********************************************************

Generating perturbed configuration with delta-wing[3,1]=   0.00900000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  7.4830e-13)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "wing[3,2]"
*********************************************************

Generating perturbed configuration with delta-wing[3,2]=   0.00460000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  7.4830e-13)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "wing[3,3]"
*********************************************************

Generating perturbed configuration with delta-wing[3,3]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  7.4830e-13)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "wing[3,4]"
*********************************************************

Generating perturbed configuration with delta-wing[3,4]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  1.8463e-08)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  1.7848e-11)

*********************************************************
Starting tessellation sensitivity wrt "wing[3,5]"
*********************************************************

Generating perturbed configuration with delta-wing[3,5]=   0.02000000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(wing) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(wing) check complete with        0 total errors (errmax=  6.0931e-08)
    d(Node)/d(wing) check complete with        0 total errors (errmax=  6.0931e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xroot_h"
*********************************************************

Generating perturbed configuration with delta-xroot_h[1,1]=   0.01210000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(xroot_h) check complete with        0 total errors (errmax=  1.7680e-05)
    d(Edge)/d(xroot_h) check complete with        0 total errors (errmax=  2.2412e-05)
    d(Node)/d(xroot_h) check complete with        0 total errors (errmax=  1.9112e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "zroot_h"
*********************************************************

Generating perturbed configuration with delta-zroot_h[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(zroot_h) check complete with        0 total errors (errmax=  1.0621e-05)
iedge=  13, ipnt=   0: anal=  13.95365680    0.28722193    0.21338903, ptrb=  13.95365166    0.28718958    0.21328957, dist=   0.00010471 (at   13.95360486    0.28688214    0.21227763)
iedge=  21, ipnt=   1: anal=  13.95365680   -0.28722193    0.21338903, ptrb=  13.95365166   -0.28718958    0.21328957, dist=   0.00010471 (at   13.95360486   -0.28688214    0.21227763)
    d(Edge)/d(zroot_h) check complete with        2 total errors (errmax=  1.0471e-04)
    d(Node)/d(zroot_h) check complete with        0 total errors (errmax=  1.0760e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "aroot_h"
*********************************************************

Generating perturbed configuration with delta-aroot_h[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(aroot_h) check complete with        0 total errors (errmax=  1.0793e-07)
iedge=  12, ipnt=   0: anal=  13.95373035    0.28619782    0.21006972, ptrb=  13.95349500    0.28619275    0.21005359, dist=   0.00023595 (at   13.95349654    0.28620230    0.21008399)
    d(Edge)/d(aroot_h) check complete with        1 total errors (errmax=  2.3595e-04)
    d(Node)/d(aroot_h) check complete with        0 total errors (errmax=  1.8647e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "area_h"
*********************************************************

Generating perturbed configuration with delta-area_h[1,1]=   0.00728000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(area_h) check complete with        0 total errors (errmax=  4.2564e-07)
iedge=  12, ipnt=   0: anal=  13.95488787    0.28621260    0.21011674, ptrb=  13.95440126    0.28620213    0.21008341, dist=   0.00048786 (at   13.95349654    0.28620230    0.21008399)
iedge=  23, ipnt=   0: anal=  13.95502585   -0.28687074    0.21224029, ptrb=  13.95450963   -0.28688233    0.21227821, dist=   0.00051775 (at   13.95360486   -0.28688214    0.21227763)
    d(Edge)/d(area_h) check complete with        2 total errors (errmax=  5.1775e-04)
    d(Node)/d(area_h) check complete with        0 total errors (errmax=  4.2564e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "taper_h"
*********************************************************

Generating perturbed configuration with delta-taper_h[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(taper_h) check complete with        0 total errors (errmax=  7.5287e-07)
    d(Edge)/d(taper_h) check complete with        0 total errors (errmax=  7.5988e-07)
    d(Node)/d(taper_h) check complete with        0 total errors (errmax=  7.5287e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect_h"
*********************************************************

Generating perturbed configuration with delta-aspect_h[1,1]=   0.00370000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(aspect_h) check complete with        0 total errors (errmax=  5.8228e-07)
    d(Edge)/d(aspect_h) check complete with        0 total errors (errmax=  4.8794e-05)
    d(Node)/d(aspect_h) check complete with        0 total errors (errmax=  5.8970e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "sweep_h"
*********************************************************

Generating perturbed configuration with delta-sweep_h[1,1]=   0.02500000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(sweep_h) check complete with        0 total errors (errmax=  2.7741e-07)
    d(Edge)/d(sweep_h) check complete with        0 total errors (errmax=  2.8475e-07)
    d(Node)/d(sweep_h) check complete with        0 total errors (errmax=  2.8062e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "dihed_h"
*********************************************************

Generating perturbed configuration with delta-dihed_h[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(dihed_h) check complete with        0 total errors (errmax=  1.6042e-07)
    d(Edge)/d(dihed_h) check complete with        0 total errors (errmax=  1.5668e-06)
    d(Node)/d(dihed_h) check complete with        0 total errors (errmax=  1.7087e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "twist_h"
*********************************************************

Generating perturbed configuration with delta-twist_h[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(twist_h) check complete with        0 total errors (errmax=  1.0793e-07)
    d(Edge)/d(twist_h) check complete with        0 total errors (errmax=  3.0036e-05)
    d(Node)/d(twist_h) check complete with        0 total errors (errmax=  6.0647e-10)
 

*********************************************************
Starting tessellation sensitivity wrt "xroot_v"
*********************************************************

Generating perturbed configuration with delta-xroot_v[1,1]=   0.01120000
 

*********************************************************
Starting tessellation sensitivity wrt "zroot_v"
*********************************************************

Generating perturbed configuration with delta-zroot_v[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(zroot_v) check complete with        0 total errors (errmax=  9.9639e-08)
    d(Edge)/d(zroot_v) check complete with        0 total errors (errmax=  5.6100e-08)
    d(Node)/d(zroot_v) check complete with        0 total errors (errmax=  5.2546e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "area_v"
*********************************************************

Generating perturbed configuration with delta-area_v[1,1]=   0.00960000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(area_v) check complete with        0 total errors (errmax=  5.5188e-07)
iedge=   6, ipnt=  31: anal=  13.98211953    0.00110502    0.59999798, ptrb=  13.98166390    0.00112630    0.59999791, dist=   0.00045613 (at   13.98028820    0.00112572    0.59999791)
iedge=  15, ipnt=   0: anal=  13.98211952   -0.00110502    0.59999798, ptrb=  13.98166390   -0.00112630    0.59999791, dist=   0.00045612 (at   13.98028820   -0.00112572    0.59999791)
    d(Edge)/d(area_v) check complete with        2 total errors (errmax=  4.5613e-04)
    d(Node)/d(area_v) check complete with        0 total errors (errmax=  5.5188e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "taper_v"
*********************************************************

Generating perturbed configuration with delta-taper_v[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(taper_v) check complete with        0 total errors (errmax=  1.6272e-06)
    d(Edge)/d(taper_v) check complete with        0 total errors (errmax=  1.6272e-06)
    d(Node)/d(taper_v) check complete with        0 total errors (errmax=  1.6272e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect_v"
*********************************************************

Generating perturbed configuration with delta-aspect_v[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(aspect_v) check complete with        0 total errors (errmax=  9.2348e-07)
    d(Edge)/d(aspect_v) check complete with        0 total errors (errmax=  9.8920e-07)
    d(Node)/d(aspect_v) check complete with        0 total errors (errmax=  9.5972e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "sweep_v"
*********************************************************

Generating perturbed configuration with delta-sweep_v[1,1]=   0.04500000
Computing analytic sensitivities (if possible) for ibody=84
Computing distances of perturbed points from perturbed configuration for ibody=84
    d(Face)/d(sweep_v) check complete with        0 total errors (errmax=  3.1881e-06)
    d(Edge)/d(sweep_v) check complete with        0 total errors (errmax=  3.3138e-06)
    d(Node)/d(sweep_v) check complete with        0 total errors (errmax=  3.3138e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->    127.623 sec

Sensitivity checks complete with      115 total errors (max tessel err=  2.7661e-01) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designA.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "aa[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[1,1]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "aa[1,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[1,2]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "aa[1,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[1,3]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "aa[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[2,1]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "aa[2,2]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[2,2]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "aa[2,3]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aa[2,3]" for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.005 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designA.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "aa[1,1]"
*********************************************************

Generating perturbed configuration with delta-aa[1,1]=   0.01100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "aa[1,2]"
*********************************************************

Generating perturbed configuration with delta-aa[1,2]=   0.01200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "aa[1,3]"
*********************************************************

Generating perturbed configuration with delta-aa[1,3]=   0.01300000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "aa[2,1]"
*********************************************************

Generating perturbed configuration with delta-aa[2,1]=   0.02100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "aa[2,2]"
*********************************************************

Generating perturbed configuration with delta-aa[2,2]=   0.02200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "aa[2,3]"
*********************************************************

Generating perturbed configuration with delta-aa[2,3]=   0.02300000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aa) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.179 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designB1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "DX" for ibody=19
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.4721e-08)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "DY" for ibody=19
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.0720e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "DZ" for ibody=19
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "move" for ibody=19
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.8690e-10)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "rad" for ibody=19
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.4106e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.563 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.8610e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designB1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.0667e-06)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "move"
*********************************************************

Generating perturbed configuration with delta-move[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.8310e-15)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Node)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.2844e-06)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.992 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.9394e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designB2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "DX" for ibody=22
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.4721e-08)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "DY" for ibody=22
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.0720e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "DZ" for ibody=22
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.8690e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "move" for ibody=22
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.8690e-10)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "rad" for ibody=22
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.4106e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.608 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.8610e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designB2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.0667e-06)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "move"
*********************************************************

Generating perturbed configuration with delta-move[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.8310e-15)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Node)/d(move) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=22
Computing distances of perturbed points from perturbed configuration for ibody=22
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.2844e-06)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.158 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.9394e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designB3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.985 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  2.0000e-20) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designB3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "move"
*********************************************************

Generating perturbed configuration with delta-move[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=37

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.077 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designB4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25

Comparing configuration sensitivities wrt "DX" for ibody=25
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.5150e-08)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9461e-08)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25

Comparing configuration sensitivities wrt "DY" for ibody=25
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.0776e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.1665e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25

Comparing configuration sensitivities wrt "DZ" for ibody=25
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.1102e-09)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25

Comparing configuration sensitivities wrt "move" for ibody=25
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  1.1102e-09)
    d(Node)/d(move) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25

Comparing configuration sensitivities wrt "rad" for ibody=25
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.4152e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.8633e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.512 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.8633e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designB4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=25
Computing distances of perturbed points from perturbed configuration for ibody=25
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.0667e-06)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=25
Computing distances of perturbed points from perturbed configuration for ibody=25
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=25
Computing distances of perturbed points from perturbed configuration for ibody=25
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.0129e-14)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.2102e-12)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.9651e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "move"
*********************************************************

Generating perturbed configuration with delta-move[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=25
Computing distances of perturbed points from perturbed configuration for ibody=25
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.0129e-14)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  5.4573e-12)
    d(Node)/d(move) check complete with        0 total errors (errmax=  3.3307e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=25
Computing distances of perturbed points from perturbed configuration for ibody=25
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.2844e-06)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.039 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.9394e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designB5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "DX" for ibody=34
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.5332e-08)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9683e-08)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9017e-08)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "DY" for ibody=34
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.0800e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.1687e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  2.1643e-07)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "DZ" for ibody=34
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  1.3323e-09)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "move" for ibody=34
    d(Face)/d(move) check complete with        0 total errors (errmax=  1.3323e-09)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  6.6613e-10)
    d(Node)/d(move) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "bump"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "bump" for ibody=34
    d(Face)/d(bump) check complete with        0 total errors (errmax=  4.2861e-07)
    d(Edge)/d(bump) check complete with        0 total errors (errmax=  8.6384e-07)
    d(Node)/d(bump) check complete with        0 total errors (errmax=  8.6384e-07)
 

*********************************************************
Starting configuration sensitivity wrt "rotn"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "rotn" for ibody=34
    d(Face)/d(rotn) check complete with        0 total errors (errmax=  1.8412e-09)
    d(Edge)/d(rotn) check complete with        0 total errors (errmax=  1.5622e-09)
    d(Node)/d(rotn) check complete with        0 total errors (errmax=  6.9862e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34

Comparing configuration sensitivities wrt "rad" for ibody=34
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.4126e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.8633e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.971 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.6384e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designB5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.0667e-06)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.1014e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  8.6318e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  2.5335e-14)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.8316e-12)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.9651e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "move"
*********************************************************

Generating perturbed configuration with delta-move[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(move) check complete with        0 total errors (errmax=  8.4850e-15)
    d(Edge)/d(move) check complete with        0 total errors (errmax=  3.2848e-12)
    d(Node)/d(move) check complete with        0 total errors (errmax=  3.3307e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "bump"
*********************************************************

Generating perturbed configuration with delta-bump[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(bump) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(bump) check complete with        0 total errors (errmax=  8.6318e-07)
    d(Node)/d(bump) check complete with        0 total errors (errmax=  8.6318e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "rotn"
*********************************************************

Generating perturbed configuration with delta-rotn[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(rotn) check complete with        0 total errors (errmax=  4.8763e-10)
    d(Edge)/d(rotn) check complete with        0 total errors (errmax=  7.0070e-10)
    d(Node)/d(rotn) check complete with        0 total errors (errmax=  7.0070e-10)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=34
Computing distances of perturbed points from perturbed configuration for ibody=34
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.2844e-06)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.393 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.9394e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xsize" for ibody=1
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ysize" for ibody=1
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zsize" for ibody=1
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.003 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  1.7347e-18)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  1.7347e-18)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xsize"
*********************************************************

Generating perturbed configuration with delta-xsize[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ysize"
*********************************************************

Generating perturbed configuration with delta-ysize[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  4.4409e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zsize"
*********************************************************

Generating perturbed configuration with delta-zsize[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  4.4409e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.260 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.4410e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  2.4672e-10)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1332e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  2.5401e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1391e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  2.4672e-10)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1303e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1361e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1361e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9081e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.012 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  1.0033e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  7.6540e-24)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4431e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.1015e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.108 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  2.4672e-10)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1303e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1361e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1361e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  2.4672e-10)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1332e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1391e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9081e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.012 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  7.6540e-24)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  2.4493e-16)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  7.3479e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  1.0033e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4431e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.1016e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.121 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1519e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  1.9825e-10)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  3.5427e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.008 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  9.2222e-16)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.120 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  1.9825e-10)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1519e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  3.5427e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.008 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.124 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1519e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  1.9825e-10)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  3.5427e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.011 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  9.2222e-16)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.109 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbeg" for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1352e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybeg" for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1598e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbeg" for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  1.9825e-10)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xend" for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1384e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yend" for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1519e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  4.4409e-10)
 

*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zend" for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  3.5427e-10)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  2.9259e-10)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.012 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.1598e-08) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xbeg"
*********************************************************

Generating perturbed configuration with delta-xbeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbeg) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "ybeg"
*********************************************************

Generating perturbed configuration with delta-ybeg[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybeg) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybeg) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbeg"
*********************************************************

Generating perturbed configuration with delta-zbeg[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbeg) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(zbeg) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(zbeg) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "xend"
*********************************************************

Generating perturbed configuration with delta-xend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xend) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "yend"
*********************************************************

Generating perturbed configuration with delta-yend[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yend) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zend"
*********************************************************

Generating perturbed configuration with delta-zend[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zend) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(zend) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(zend) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.116 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.1250e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.01470588,  fd=   0.00000000,  err=  -0.01470588 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Y): anal=  -0.00144143,  fd=  -0.00000000,  err=  -0.00144143 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Z): anal=  -0.01463507,  fd=  -0.00000000,  err=  -0.01463507 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   2 (X): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Y): anal=  -0.00286898,  fd=  -0.00000000,  err=  -0.00286898 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Z): anal=  -0.01442331,  fd=  -0.00000000,  err=  -0.01442331 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   3 (X): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at    6.00000000   -0.29028468    0.04305966)
iface=   1, ipnt=   3 (Y): anal=  -0.00426889,  fd=  -0.00000000,  err=  -0.00426889 (at    6.00000000   -0.29028468    0.04305966)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    2.03125000    0.00000000    1.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    2.06250000    0.00000000    1.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    2.09375000    0.00000000    1.02343750)
iface=   2, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    2.12500000    0.00000000    1.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    2.12500000    0.00000000    1.03125000)
iface=   2, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    2.15625000    0.00000000    1.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    2.15625000    0.00000000    1.03906250)
iface=   2, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    2.18750000    0.00000000    1.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    2.18750000    0.00000000    1.04687500)
iface=   2, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    2.21875000    0.00000000    1.05468750)
...too many errors to list
    d(Face)/d(xvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    6.00000000    0.00000000    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   5 (Y): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    6.00000000   -0.47139674    1.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    2.03125000    0.00000000    1.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    2.06250000    0.00000000    1.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    2.09375000    0.00000000    1.02343750)
iedge=   2, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    2.12500000    0.00000000    1.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    2.12500000    0.00000000    1.03125000)
iedge=   2, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    2.15625000    0.00000000    1.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    2.15625000    0.00000000    1.03906250)
iedge=   2, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    2.18750000    0.00000000    1.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    2.18750000    0.00000000    1.04687500)
iedge=   2, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    2.21875000    0.00000000    1.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at    2.03125000   -0.00000000    0.99218750)
iedge=   4, ipnt=   4 (Z): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at    2.06250000   -0.00000000    0.98437500)
iedge=   4, ipnt=   5 (Z): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at    2.09375000   -0.00000000    0.97656250)
iedge=   4, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    2.12500000   -0.00000000    0.96875000)
iedge=   4, ipnt=   6 (Z): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at    2.12500000   -0.00000000    0.96875000)
iedge=   4, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    2.15625000   -0.00000000    0.96093750)
iedge=   4, ipnt=   7 (Z): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at    2.15625000   -0.00000000    0.96093750)
iedge=   4, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    2.18750000   -0.00000000    0.95312500)
iedge=   4, ipnt=   8 (Z): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at    2.18750000   -0.00000000    0.95312500)
iedge=   4, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    2.21875000   -0.00000000    0.94531250)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    6.00000000   -0.00000000    0.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   5 (Y): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    6.00000000    0.47139674    0.11807874)
...too many errors to list
    d(Edge)/d(xvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    6.00000000   -0.00000000    0.00000000)
inode=   2, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    6.00000000    0.00000000    2.00000000)
    d(Node)/d(xvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  2.9423e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  2.5401e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  2.9197e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1086e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1086e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
iface=   1, ipnt=   0 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   1 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Y): anal=   0.02450429,  fd=   0.02306286,  err=   0.00144143 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Z): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   2 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Y): anal=   0.04877258,  fd=   0.04590361,  err=   0.00286898 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Z): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   3 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    6.00000000   -0.29028468    0.04305966)
iface=   1, ipnt=   3 (Y): anal=   0.07257117,  fd=   0.06830228,  err=   0.00426889 (at    6.00000000   -0.29028468    0.04305966)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    2.03125000    0.00000000    1.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.06250000    0.00000000    1.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    2.09375000    0.00000000    1.02343750)
iface=   2, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.12500000    0.00000000    1.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.12500000    0.00000000    1.03125000)
iface=   2, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    2.15625000    0.00000000    1.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.00976562,  fd=  -0.00919118,  err=  -0.00057445 (at    2.15625000    0.00000000    1.03906250)
iface=   2, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    2.18750000    0.00000000    1.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    2.18750000    0.00000000    1.04687500)
iface=   2, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    2.21875000    0.00000000    1.05468750)
...too many errors to list
    d(Face)/d(xbase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    6.00000000    0.00000000    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   5 (Y): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    6.00000000   -0.47139674    1.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    2.03125000    0.00000000    1.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.06250000    0.00000000    1.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    2.09375000    0.00000000    1.02343750)
iedge=   2, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.12500000    0.00000000    1.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.12500000    0.00000000    1.03125000)
iedge=   2, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    2.15625000    0.00000000    1.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    2.15625000    0.00000000    1.03906250)
iedge=   2, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    2.18750000    0.00000000    1.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    2.18750000    0.00000000    1.04687500)
iedge=   2, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    2.21875000    0.00000000    1.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.03125000   -0.00000000    0.99218750)
iedge=   4, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    2.06250000   -0.00000000    0.98437500)
iedge=   4, ipnt=   5 (Z): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    2.09375000   -0.00000000    0.97656250)
iedge=   4, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.12500000   -0.00000000    0.96875000)
iedge=   4, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    2.12500000   -0.00000000    0.96875000)
iedge=   4, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    2.15625000   -0.00000000    0.96093750)
iedge=   4, ipnt=   7 (Z): anal=   0.00976563,  fd=   0.00919118,  err=   0.00057445 (at    2.15625000   -0.00000000    0.96093750)
iedge=   4, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    2.18750000   -0.00000000    0.95312500)
iedge=   4, ipnt=   8 (Z): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at    2.18750000   -0.00000000    0.95312500)
iedge=   4, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    2.21875000   -0.00000000    0.94531250)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    6.00000000   -0.00000000    0.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   5 (Y): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    6.00000000    0.47139674    0.11807874)
...too many errors to list
    d(Edge)/d(xbase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    6.00000000   -0.00000000    0.00000000)
inode=   2, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    6.00000000    0.00000000    2.00000000)
    d(Node)/d(xbase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.9450e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.9136e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1115e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1115e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   0 (Z): anal=  -1.00000000,  fd=  -0.94117647,  err=  -0.05882353 (at    6.00000000   -0.00000000    0.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Y): anal=  -0.09801714,  fd=  -0.09225143,  err=  -0.00576571 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   1 (Z): anal=  -0.99518473,  fd=  -0.93664445,  err=  -0.05854028 (at    6.00000000   -0.09801714    0.00481527)
iface=   1, ipnt=   2 (X): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Y): anal=  -0.19509032,  fd=  -0.18361442,  err=  -0.01147590 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   2 (Z): anal=  -0.98078528,  fd=  -0.92309203,  err=  -0.05769325 (at    6.00000000   -0.19509032    0.01921472)
iface=   1, ipnt=   3 (X): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    6.00000000   -0.29028468    0.04305966)
iface=   1, ipnt=   3 (Y): anal=  -0.29028468,  fd=  -0.27320911,  err=  -0.01707557 (at    6.00000000   -0.29028468    0.04305966)
...too many errors to list
iface=   2, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.00781250    0.00000000    1.00195312)
iface=   2, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    2.01562500    0.00000000    1.00390625)
iface=   2, ipnt=   3 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    2.03125000    0.00000000    1.00781250)
iface=   2, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    2.03125000    0.00000000    1.00781250)
iface=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.06250000    0.00000000    1.01562500)
iface=   2, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    2.06250000    0.00000000    1.01562500)
iface=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    2.09375000    0.00000000    1.02343750)
iface=   2, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    2.09375000    0.00000000    1.02343750)
iface=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.12500000    0.00000000    1.03125000)
iface=   2, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    2.12500000    0.00000000    1.03125000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    6.00000000    0.00000000    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   1 (Z): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    6.00000000   -0.09801714    1.99518473)
iedge=   1, ipnt=   2 (Y): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   2 (Z): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    6.00000000   -0.19509032    1.98078528)
iedge=   1, ipnt=   3 (Y): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   3 (Z): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    6.00000000   -0.29028468    1.95694034)
iedge=   1, ipnt=   4 (Y): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   4 (Z): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    6.00000000   -0.38268343    1.92387953)
iedge=   1, ipnt=   5 (Y): anal=  -0.50085903,  fd=  -0.47139674,  err=  -0.02946230 (at    6.00000000   -0.47139674    1.88192126)
...too many errors to list
iedge=   2, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    2.00781250    0.00000000    1.00195312)
iedge=   2, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    2.01562500    0.00000000    1.00390625)
iedge=   2, ipnt=   3 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    2.03125000    0.00000000    1.00781250)
iedge=   2, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    2.03125000    0.00000000    1.00781250)
iedge=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.06250000    0.00000000    1.01562500)
iedge=   2, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    2.06250000    0.00000000    1.01562500)
iedge=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    2.09375000    0.00000000    1.02343750)
iedge=   2, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    2.09375000    0.00000000    1.02343750)
iedge=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.12500000    0.00000000    1.03125000)
iedge=   2, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    2.12500000    0.00000000    1.03125000)
...too many errors to list
iedge=   4, ipnt=   1 (Z): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at    2.00781250   -0.00000000    0.99804687)
iedge=   4, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.01562500   -0.00000000    0.99609375)
iedge=   4, ipnt=   3 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    2.03125000   -0.00000000    0.99218750)
iedge=   4, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.03125000   -0.00000000    0.99218750)
iedge=   4, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    2.06250000   -0.00000000    0.98437500)
iedge=   4, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    2.06250000   -0.00000000    0.98437500)
iedge=   4, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    2.09375000   -0.00000000    0.97656250)
iedge=   4, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    2.09375000   -0.00000000    0.97656250)
iedge=   4, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    2.12500000   -0.00000000    0.96875000)
iedge=   4, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    2.12500000   -0.00000000    0.96875000)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    6.00000000   -0.00000000    0.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   1 (Z): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at    6.00000000    0.09801714    0.00481527)
iedge=   6, ipnt=   2 (Y): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   2 (Z): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at    6.00000000    0.19509032    0.01921472)
iedge=   6, ipnt=   3 (Y): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   3 (Z): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at    6.00000000    0.29028468    0.04305966)
iedge=   6, ipnt=   4 (Y): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   4 (Z): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at    6.00000000    0.38268343    0.07612047)
iedge=   6, ipnt=   5 (Y): anal=   0.50085903,  fd=   0.47139674,  err=   0.02946230 (at    6.00000000    0.47139674    0.11807874)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    6.00000000   -0.00000000    0.00000000)
inode=   2, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    6.00000000    0.00000000    2.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.027 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.244 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.01470588,  fd=   0.00000000,  err=  -0.01470588 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Y): anal=   0.00144143,  fd=  -0.00000000,  err=   0.00144143 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Z): anal=  -0.01463507,  fd=   0.00000000,  err=  -0.01463507 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   2 (X): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Y): anal=   0.00286898,  fd=  -0.00000000,  err=   0.00286898 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Z): anal=  -0.01442331,  fd=   0.00000000,  err=  -0.01442331 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   3 (X): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at    2.00000000   -0.29028468    1.95694034)
iface=   1, ipnt=   3 (Y): anal=   0.00426889,  fd=   0.00000000,  err=   0.00426889 (at    2.00000000   -0.29028468    1.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    5.96875000    0.00000000    0.99218750)
iface=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    5.93750000    0.00000000    0.98437500)
iface=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    5.90625000    0.00000000    0.97656250)
iface=   2, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    5.87500000    0.00000000    0.96875000)
iface=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    5.87500000    0.00000000    0.96875000)
iface=   2, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    5.84375000    0.00000000    0.96093750)
iface=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    5.84375000    0.00000000    0.96093750)
iface=   2, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    5.81250000    0.00000000    0.95312500)
iface=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    5.81250000    0.00000000    0.95312500)
iface=   2, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    5.78125000    0.00000000    0.94531250)
...too many errors to list
    d(Face)/d(xvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    2.00000000    0.00000000    0.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   5 (Y): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    2.00000000   -0.47139674    0.11807874)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    5.96875000    0.00000000    0.99218750)
iedge=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    5.93750000    0.00000000    0.98437500)
iedge=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    5.90625000    0.00000000    0.97656250)
iedge=   2, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    5.87500000    0.00000000    0.96875000)
iedge=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    5.87500000    0.00000000    0.96875000)
iedge=   2, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    5.84375000    0.00000000    0.96093750)
iedge=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    5.84375000    0.00000000    0.96093750)
iedge=   2, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    5.81250000    0.00000000    0.95312500)
iedge=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    5.81250000    0.00000000    0.95312500)
iedge=   2, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    5.78125000    0.00000000    0.94531250)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at    5.96875000   -0.00000000    1.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at    5.93750000   -0.00000000    1.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at    5.90625000   -0.00000000    1.02343750)
iedge=   4, ipnt=   6 (X): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    5.87500000   -0.00000000    1.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at    5.87500000   -0.00000000    1.03125000)
iedge=   4, ipnt=   7 (X): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    5.84375000   -0.00000000    1.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at    5.84375000   -0.00000000    1.03906250)
iedge=   4, ipnt=   8 (X): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    5.81250000   -0.00000000    1.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at    5.81250000   -0.00000000    1.04687500)
iedge=   4, ipnt=   9 (X): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    5.78125000   -0.00000000    1.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    2.00000000   -0.00000000    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   5 (Y): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    2.00000000    0.47139674    1.88192126)
...too many errors to list
    d(Edge)/d(xvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    2.00000000   -0.00000000    2.00000000)
inode=   2, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    2.00000000    0.00000000    0.00000000)
    d(Node)/d(xvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
iface=   1, ipnt=   0 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Y): anal=  -0.02450429,  fd=  -0.02306286,  err=  -0.00144143 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Z): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   2 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Y): anal=  -0.04877258,  fd=  -0.04590361,  err=  -0.00286898 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Z): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   3 (X): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    2.00000000   -0.29028468    1.95694034)
iface=   1, ipnt=   3 (Y): anal=  -0.07257117,  fd=  -0.06830228,  err=  -0.00426889 (at    2.00000000   -0.29028468    1.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    5.96875000    0.00000000    0.99218750)
iface=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    5.93750000    0.00000000    0.98437500)
iface=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    5.90625000    0.00000000    0.97656250)
iface=   2, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.87500000    0.00000000    0.96875000)
iface=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    5.87500000    0.00000000    0.96875000)
iface=   2, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    5.84375000    0.00000000    0.96093750)
iface=   2, ipnt=   7 (Z): anal=  -0.00976562,  fd=  -0.00919118,  err=  -0.00057445 (at    5.84375000    0.00000000    0.96093750)
iface=   2, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    5.81250000    0.00000000    0.95312500)
iface=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    5.81250000    0.00000000    0.95312500)
iface=   2, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    5.78125000    0.00000000    0.94531250)
...too many errors to list
    d(Face)/d(xbase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    2.00000000    0.00000000    0.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   5 (Y): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    2.00000000   -0.47139674    0.11807874)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    5.96875000    0.00000000    0.99218750)
iedge=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    5.93750000    0.00000000    0.98437500)
iedge=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    5.90625000    0.00000000    0.97656250)
iedge=   2, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.87500000    0.00000000    0.96875000)
iedge=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    5.87500000    0.00000000    0.96875000)
iedge=   2, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    5.84375000    0.00000000    0.96093750)
iedge=   2, ipnt=   7 (Z): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    5.84375000    0.00000000    0.96093750)
iedge=   2, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    5.81250000    0.00000000    0.95312500)
iedge=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    5.81250000    0.00000000    0.95312500)
iedge=   2, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    5.78125000    0.00000000    0.94531250)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.96875000   -0.00000000    1.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    5.93750000   -0.00000000    1.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    5.90625000   -0.00000000    1.02343750)
iedge=   4, ipnt=   6 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.87500000   -0.00000000    1.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    5.87500000   -0.00000000    1.03125000)
iedge=   4, ipnt=   7 (X): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    5.84375000   -0.00000000    1.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.00976563,  fd=   0.00919118,  err=   0.00057445 (at    5.84375000   -0.00000000    1.03906250)
iedge=   4, ipnt=   8 (X): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    5.81250000   -0.00000000    1.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at    5.81250000   -0.00000000    1.04687500)
iedge=   4, ipnt=   9 (X): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    5.78125000   -0.00000000    1.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    2.00000000   -0.00000000    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   5 (Y): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    2.00000000    0.47139674    1.88192126)
...too many errors to list
    d(Edge)/d(xbase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    2.00000000   -0.00000000    2.00000000)
inode=   2, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    2.00000000    0.00000000    0.00000000)
    d(Node)/d(xbase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.9397e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.1176e-16)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.9588e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1391e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=   1.00000000,  fd=   0.94117647,  err=   0.05882353 (at    2.00000000   -0.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Y): anal=  -0.09801714,  fd=  -0.09225143,  err=  -0.00576571 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   1 (Z): anal=   0.99518473,  fd=   0.93664445,  err=   0.05854028 (at    2.00000000   -0.09801714    1.99518473)
iface=   1, ipnt=   2 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Y): anal=  -0.19509032,  fd=  -0.18361442,  err=  -0.01147590 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   2 (Z): anal=   0.98078528,  fd=   0.92309203,  err=   0.05769325 (at    2.00000000   -0.19509032    1.98078528)
iface=   1, ipnt=   3 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    2.00000000   -0.29028468    1.95694034)
iface=   1, ipnt=   3 (Y): anal=  -0.29028468,  fd=  -0.27320911,  err=  -0.01707557 (at    2.00000000   -0.29028468    1.95694034)
...too many errors to list
iface=   2, ipnt=   1 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    5.99218750    0.00000000    0.99804688)
iface=   2, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    5.98437500    0.00000000    0.99609375)
iface=   2, ipnt=   3 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.96875000    0.00000000    0.99218750)
iface=   2, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    5.96875000    0.00000000    0.99218750)
iface=   2, ipnt=   4 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    5.93750000    0.00000000    0.98437500)
iface=   2, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    5.93750000    0.00000000    0.98437500)
iface=   2, ipnt=   5 (X): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    5.90625000    0.00000000    0.97656250)
iface=   2, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    5.90625000    0.00000000    0.97656250)
iface=   2, ipnt=   6 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    5.87500000    0.00000000    0.96875000)
iface=   2, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    5.87500000    0.00000000    0.96875000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    2.00000000    0.00000000    0.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   1 (Z): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at    2.00000000   -0.09801714    0.00481527)
iedge=   1, ipnt=   2 (Y): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   2 (Z): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at    2.00000000   -0.19509032    0.01921472)
iedge=   1, ipnt=   3 (Y): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   3 (Z): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at    2.00000000   -0.29028468    0.04305966)
iedge=   1, ipnt=   4 (Y): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   4 (Z): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at    2.00000000   -0.38268343    0.07612047)
iedge=   1, ipnt=   5 (Y): anal=  -0.50085903,  fd=  -0.47139674,  err=  -0.02946230 (at    2.00000000   -0.47139674    0.11807874)
...too many errors to list
iedge=   2, ipnt=   1 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    5.99218750    0.00000000    0.99804688)
iedge=   2, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    5.98437500    0.00000000    0.99609375)
iedge=   2, ipnt=   3 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.96875000    0.00000000    0.99218750)
iedge=   2, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    5.96875000    0.00000000    0.99218750)
iedge=   2, ipnt=   4 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    5.93750000    0.00000000    0.98437500)
iedge=   2, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    5.93750000    0.00000000    0.98437500)
iedge=   2, ipnt=   5 (X): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    5.90625000    0.00000000    0.97656250)
iedge=   2, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    5.90625000    0.00000000    0.97656250)
iedge=   2, ipnt=   6 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    5.87500000    0.00000000    0.96875000)
iedge=   2, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    5.87500000    0.00000000    0.96875000)
...too many errors to list
iedge=   4, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.99218750   -0.00000000    1.00195312)
iedge=   4, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    5.98437500   -0.00000000    1.00390625)
iedge=   4, ipnt=   3 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    5.96875000   -0.00000000    1.00781250)
iedge=   4, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    5.96875000   -0.00000000    1.00781250)
iedge=   4, ipnt=   4 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    5.93750000   -0.00000000    1.01562500)
iedge=   4, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    5.93750000   -0.00000000    1.01562500)
iedge=   4, ipnt=   5 (X): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    5.90625000   -0.00000000    1.02343750)
iedge=   4, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    5.90625000   -0.00000000    1.02343750)
iedge=   4, ipnt=   6 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    5.87500000   -0.00000000    1.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    5.87500000   -0.00000000    1.03125000)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    2.00000000   -0.00000000    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   1 (Z): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    2.00000000    0.09801714    1.99518473)
iedge=   6, ipnt=   2 (Y): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   2 (Z): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    2.00000000    0.19509032    1.98078528)
iedge=   6, ipnt=   3 (Y): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   3 (Z): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    2.00000000    0.29028468    1.95694034)
iedge=   6, ipnt=   4 (Y): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   4 (Z): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    2.00000000    0.38268343    1.92387953)
iedge=   6, ipnt=   5 (Y): anal=   0.50085903,  fd=   0.47139674,  err=   0.02946230 (at    2.00000000    0.47139674    1.88192126)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    2.00000000   -0.00000000    2.00000000)
inode=   2, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    2.00000000    0.00000000    0.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.027 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.246 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  2.9318e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
iface=   1, ipnt=   0 (Y): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.01470588,  fd=  -0.00000000,  err=  -0.01470588 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   1 (X): anal=   0.00144143,  fd=  -0.00000000,  err=   0.00144143 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Z): anal=  -0.01463507,  fd=   0.00000000,  err=  -0.01463507 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   2 (X): anal=   0.00286898,  fd=  -0.00000000,  err=   0.00286898 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Z): anal=  -0.01442331,  fd=   0.00000000,  err=  -0.01442331 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   3 (X): anal=   0.00426889,  fd=  -0.00000000,  err=   0.00426889 (at    1.29028468    6.00000000   -0.95694034)
iface=   1, ipnt=   3 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.29028468    6.00000000   -0.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    1.00000000    2.03125000    0.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    1.00000000    2.06250000    0.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    1.00000000    2.09375000    0.02343750)
iface=   2, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    2.12500000    0.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    1.00000000    2.12500000    0.03125000)
iface=   2, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    2.15625000    0.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    1.00000000    2.15625000    0.03906250)
iface=   2, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    2.18750000    0.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    1.00000000    2.18750000    0.04687500)
iface=   2, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    2.21875000    0.05468750)
...too many errors to list
    d(Face)/d(yvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    6.00000000    1.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   2 (X): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   3 (X): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   4 (X): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   5 (X): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    1.47139674    6.00000000    0.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    1.00000000    2.03125000    0.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    1.00000000    2.06250000    0.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    1.00000000    2.09375000    0.02343750)
iedge=   2, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    2.12500000    0.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    1.00000000    2.12500000    0.03125000)
iedge=   2, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    2.15625000    0.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    1.00000000    2.15625000    0.03906250)
iedge=   2, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    2.18750000    0.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    1.00000000    2.18750000    0.04687500)
iedge=   2, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    2.21875000    0.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at    1.00000000    2.03125000   -0.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at    1.00000000    2.06250000   -0.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at    1.00000000    2.09375000   -0.02343750)
iedge=   4, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    2.12500000   -0.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at    1.00000000    2.12500000   -0.03125000)
iedge=   4, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    2.15625000   -0.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at    1.00000000    2.15625000   -0.03906250)
iedge=   4, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    2.18750000   -0.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at    1.00000000    2.18750000   -0.04687500)
iedge=   4, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    2.21875000   -0.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    1.00000000    6.00000000   -1.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   2 (X): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   3 (X): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   4 (X): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   5 (X): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    0.52860326    6.00000000   -0.88192126)
...too many errors to list
    d(Edge)/d(yvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at    1.00000000    6.00000000   -1.00000000)
inode=   2, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    6.00000000    1.00000000)
    d(Node)/d(yvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  2.9302e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.9484e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
iface=   1, ipnt=   0 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.02450429,  fd=  -0.02306286,  err=  -0.00144143 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Z): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   2 (X): anal=  -0.04877258,  fd=  -0.04590361,  err=  -0.00286898 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Z): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   3 (X): anal=  -0.07257117,  fd=  -0.06830228,  err=  -0.00426889 (at    1.29028468    6.00000000   -0.95694034)
iface=   1, ipnt=   3 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.29028468    6.00000000   -0.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.03125000    0.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.06250000    0.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    2.09375000    0.02343750)
iface=   2, ipnt=   6 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.12500000    0.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.12500000    0.03125000)
iface=   2, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    2.15625000    0.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.00976562,  fd=  -0.00919118,  err=  -0.00057445 (at    1.00000000    2.15625000    0.03906250)
iface=   2, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    2.18750000    0.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    1.00000000    2.18750000    0.04687500)
iface=   2, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    2.21875000    0.05468750)
...too many errors to list
    d(Face)/d(ybase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    6.00000000    1.00000000)
iedge=   1, ipnt=   1 (X): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   2 (X): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   3 (X): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   4 (X): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   5 (X): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    1.47139674    6.00000000    0.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.03125000    0.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.06250000    0.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    2.09375000    0.02343750)
iedge=   2, ipnt=   6 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.12500000    0.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.12500000    0.03125000)
iedge=   2, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    2.15625000    0.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    1.00000000    2.15625000    0.03906250)
iedge=   2, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    2.18750000    0.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    1.00000000    2.18750000    0.04687500)
iedge=   2, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    2.21875000    0.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.03125000   -0.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    2.06250000   -0.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    1.00000000    2.09375000   -0.02343750)
iedge=   4, ipnt=   6 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.12500000   -0.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    2.12500000   -0.03125000)
iedge=   4, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    2.15625000   -0.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.00976563,  fd=   0.00919118,  err=   0.00057445 (at    1.00000000    2.15625000   -0.03906250)
iedge=   4, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    2.18750000   -0.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at    1.00000000    2.18750000   -0.04687500)
iedge=   4, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    2.21875000   -0.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    6.00000000   -1.00000000)
iedge=   6, ipnt=   1 (X): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   2 (X): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   3 (X): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   4 (X): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   5 (X): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    0.52860326    6.00000000   -0.88192126)
...too many errors to list
    d(Edge)/d(ybase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    6.00000000   -1.00000000)
inode=   2, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    6.00000000    1.00000000)
    d(Node)/d(ybase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.9275e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (Y): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   0 (Z): anal=  -1.00000000,  fd=  -0.94117647,  err=  -0.05882353 (at    1.00000000    6.00000000   -1.00000000)
iface=   1, ipnt=   1 (X): anal=   0.09801714,  fd=   0.09225143,  err=   0.00576571 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Y): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   1 (Z): anal=  -0.99518473,  fd=  -0.93664445,  err=  -0.05854028 (at    1.09801714    6.00000000   -0.99518473)
iface=   1, ipnt=   2 (X): anal=   0.19509032,  fd=   0.18361442,  err=   0.01147590 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Y): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   2 (Z): anal=  -0.98078528,  fd=  -0.92309203,  err=  -0.05769325 (at    1.19509032    6.00000000   -0.98078528)
iface=   1, ipnt=   3 (X): anal=   0.29028468,  fd=   0.27320911,  err=   0.01707557 (at    1.29028468    6.00000000   -0.95694034)
iface=   1, ipnt=   3 (Y): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at    1.29028468    6.00000000   -0.95694034)
...too many errors to list
iface=   2, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.00781250    0.00195312)
iface=   2, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    2.01562500    0.00390625)
iface=   2, ipnt=   3 (Y): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.03125000    0.00781250)
iface=   2, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    2.03125000    0.00781250)
iface=   2, ipnt=   4 (Y): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.06250000    0.01562500)
iface=   2, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    1.00000000    2.06250000    0.01562500)
iface=   2, ipnt=   5 (Y): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    2.09375000    0.02343750)
iface=   2, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    1.00000000    2.09375000    0.02343750)
iface=   2, ipnt=   6 (Y): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.12500000    0.03125000)
iface=   2, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    1.00000000    2.12500000    0.03125000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    6.00000000    1.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   1 (Z): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    1.09801714    6.00000000    0.99518473)
iedge=   1, ipnt=   2 (X): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   2 (Z): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    1.19509032    6.00000000    0.98078528)
iedge=   1, ipnt=   3 (X): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   3 (Z): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    1.29028468    6.00000000    0.95694034)
iedge=   1, ipnt=   4 (X): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   4 (Z): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    1.38268343    6.00000000    0.92387953)
iedge=   1, ipnt=   5 (X): anal=   0.50085903,  fd=   0.47139674,  err=   0.02946230 (at    1.47139674    6.00000000    0.88192126)
...too many errors to list
iedge=   2, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    2.00781250    0.00195312)
iedge=   2, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    2.01562500    0.00390625)
iedge=   2, ipnt=   3 (Y): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.03125000    0.00781250)
iedge=   2, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    2.03125000    0.00781250)
iedge=   2, ipnt=   4 (Y): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.06250000    0.01562500)
iedge=   2, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    1.00000000    2.06250000    0.01562500)
iedge=   2, ipnt=   5 (Y): anal=  -0.00585937,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    2.09375000    0.02343750)
iedge=   2, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    1.00000000    2.09375000    0.02343750)
iedge=   2, ipnt=   6 (Y): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.12500000    0.03125000)
iedge=   2, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    1.00000000    2.12500000    0.03125000)
...too many errors to list
iedge=   4, ipnt=   1 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.00781250   -0.00195312)
iedge=   4, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.01562500   -0.00390625)
iedge=   4, ipnt=   3 (Y): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    2.03125000   -0.00781250)
iedge=   4, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.03125000   -0.00781250)
iedge=   4, ipnt=   4 (Y): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    2.06250000   -0.01562500)
iedge=   4, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    1.00000000    2.06250000   -0.01562500)
iedge=   4, ipnt=   5 (Y): anal=  -0.00585937,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    2.09375000   -0.02343750)
iedge=   4, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    1.00000000    2.09375000   -0.02343750)
iedge=   4, ipnt=   6 (Y): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    2.12500000   -0.03125000)
iedge=   4, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    1.00000000    2.12500000   -0.03125000)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    1.00000000    6.00000000   -1.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   1 (Z): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at    0.90198286    6.00000000   -0.99518473)
iedge=   6, ipnt=   2 (X): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   2 (Z): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at    0.80490968    6.00000000   -0.98078528)
iedge=   6, ipnt=   3 (X): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   3 (Z): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at    0.70971532    6.00000000   -0.95694034)
iedge=   6, ipnt=   4 (X): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   4 (Z): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at    0.61731657    6.00000000   -0.92387953)
iedge=   6, ipnt=   5 (X): anal=  -0.50085903,  fd=  -0.47139674,  err=  -0.02946230 (at    0.52860326    6.00000000   -0.88192126)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    1.00000000    6.00000000   -1.00000000)
inode=   2, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    6.00000000    1.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.028 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.275 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
iface=   1, ipnt=   0 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.01470588,  fd=   0.00000000,  err=  -0.01470588 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.00144143,  fd=   0.00000000,  err=  -0.00144143 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Z): anal=  -0.01463507,  fd=   0.00000000,  err=  -0.01463507 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   2 (X): anal=  -0.00286898,  fd=   0.00000000,  err=  -0.00286898 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Z): anal=  -0.01442331,  fd=   0.00000000,  err=  -0.01442331 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   3 (X): anal=  -0.00426889,  fd=   0.00000000,  err=  -0.00426889 (at    1.29028468    2.00000000    0.95694034)
iface=   1, ipnt=   3 (Y): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.29028468    2.00000000    0.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iface=   2, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    5.87500000   -0.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iface=   2, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    5.84375000   -0.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    1.00000000    5.84375000   -0.03906250)
iface=   2, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    5.81250000   -0.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    1.00000000    5.81250000   -0.04687500)
iface=   2, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    5.78125000   -0.05468750)
...too many errors to list
    d(Face)/d(yvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    2.00000000   -1.00000000)
iedge=   1, ipnt=   1 (X): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   2 (X): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   3 (X): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   4 (X): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   5 (X): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    1.47139674    2.00000000   -0.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iedge=   2, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    5.87500000   -0.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iedge=   2, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    5.84375000   -0.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    1.00000000    5.84375000   -0.03906250)
iedge=   2, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    5.81250000   -0.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    1.00000000    5.81250000   -0.04687500)
iedge=   2, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    5.78125000   -0.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at    1.00000000    5.96875000    0.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at    1.00000000    5.93750000    0.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at    1.00000000    5.90625000    0.02343750)
iedge=   4, ipnt=   6 (Y): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    1.00000000    5.87500000    0.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at    1.00000000    5.87500000    0.03125000)
iedge=   4, ipnt=   7 (Y): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    1.00000000    5.84375000    0.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at    1.00000000    5.84375000    0.03906250)
iedge=   4, ipnt=   8 (Y): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    1.00000000    5.81250000    0.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at    1.00000000    5.81250000    0.04687500)
iedge=   4, ipnt=   9 (Y): anal=   0.05540556,  fd=   0.05560662,  err=  -0.00020106 (at    1.00000000    5.78125000    0.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    2.00000000    1.00000000)
iedge=   6, ipnt=   1 (X): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   2 (X): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   3 (X): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   4 (X): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   5 (X): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    0.52860326    2.00000000    0.88192126)
...too many errors to list
    d(Edge)/d(yvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    2.00000000    1.00000000)
inode=   2, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    2.00000000   -1.00000000)
    d(Node)/d(yvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.9588e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
iface=   1, ipnt=   0 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   1 (X): anal=   0.02450429,  fd=   0.02306286,  err=   0.00144143 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Z): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   2 (X): anal=   0.04877258,  fd=   0.04590361,  err=   0.00286898 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Z): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   3 (X): anal=   0.07257117,  fd=   0.06830228,  err=   0.00426889 (at    1.29028468    2.00000000    0.95694034)
iface=   1, ipnt=   3 (Y): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.29028468    2.00000000    0.95694034)
...too many errors to list
iface=   2, ipnt=   3 (Z): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iface=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iface=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iface=   2, ipnt=   6 (Y): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.87500000   -0.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iface=   2, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    5.84375000   -0.03906250)
iface=   2, ipnt=   7 (Z): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    1.00000000    5.84375000   -0.03906250)
iface=   2, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    5.81250000   -0.04687500)
iface=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    1.00000000    5.81250000   -0.04687500)
iface=   2, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    5.78125000   -0.05468750)
...too many errors to list
    d(Face)/d(ybase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    2.00000000   -1.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   1 (Z): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   2 (X): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   2 (Z): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   3 (X): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   3 (Z): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   4 (X): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   4 (Z): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   5 (X): anal=   0.00736557,  fd=   0.00000000,  err=   0.00736557 (at    1.47139674    2.00000000   -0.88192126)
...too many errors to list
iedge=   2, ipnt=   3 (Z): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iedge=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iedge=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iedge=   2, ipnt=   6 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.87500000   -0.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iedge=   2, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    5.84375000   -0.03906250)
iedge=   2, ipnt=   7 (Z): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    1.00000000    5.84375000   -0.03906250)
iedge=   2, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    5.81250000   -0.04687500)
iedge=   2, ipnt=   8 (Z): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    1.00000000    5.81250000   -0.04687500)
iedge=   2, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    5.78125000   -0.05468750)
...too many errors to list
iedge=   4, ipnt=   3 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.96875000    0.00781250)
iedge=   4, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    5.93750000    0.01562500)
iedge=   4, ipnt=   5 (Z): anal=   0.00585937,  fd=   0.00551471,  err=   0.00034467 (at    1.00000000    5.90625000    0.02343750)
iedge=   4, ipnt=   6 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.87500000    0.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    5.87500000    0.03125000)
iedge=   4, ipnt=   7 (Y): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    1.00000000    5.84375000    0.03906250)
iedge=   4, ipnt=   7 (Z): anal=   0.00976562,  fd=   0.00919118,  err=   0.00057445 (at    1.00000000    5.84375000    0.03906250)
iedge=   4, ipnt=   8 (Y): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    1.00000000    5.81250000    0.04687500)
iedge=   4, ipnt=   8 (Z): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at    1.00000000    5.81250000    0.04687500)
iedge=   4, ipnt=   9 (Y): anal=   0.00341797,  fd=   0.00321691,  err=   0.00020106 (at    1.00000000    5.78125000    0.05468750)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    2.00000000    1.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   1 (Z): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   2 (X): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   2 (Z): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   3 (X): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   3 (Z): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   4 (X): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   4 (Z): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   5 (X): anal=  -0.00736557,  fd=  -0.00000000,  err=  -0.00736557 (at    0.52860326    2.00000000    0.88192126)
...too many errors to list
    d(Edge)/d(ybase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (Z): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    2.00000000    1.00000000)
inode=   2, ipnt=   0 (Z): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    2.00000000   -1.00000000)
    d(Node)/d(ybase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.9397e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (Y): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   0 (Z): anal=   1.00000000,  fd=   0.94117647,  err=   0.05882353 (at    1.00000000    2.00000000    1.00000000)
iface=   1, ipnt=   1 (X): anal=   0.09801714,  fd=   0.09225143,  err=   0.00576571 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Y): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   1 (Z): anal=   0.99518473,  fd=   0.93664445,  err=   0.05854028 (at    1.09801714    2.00000000    0.99518473)
iface=   1, ipnt=   2 (X): anal=   0.19509032,  fd=   0.18361442,  err=   0.01147590 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Y): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   2 (Z): anal=   0.98078528,  fd=   0.92309203,  err=   0.05769325 (at    1.19509032    2.00000000    0.98078528)
iface=   1, ipnt=   3 (X): anal=   0.29028468,  fd=   0.27320911,  err=   0.01707557 (at    1.29028468    2.00000000    0.95694034)
iface=   1, ipnt=   3 (Y): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.29028468    2.00000000    0.95694034)
...too many errors to list
iface=   2, ipnt=   1 (Z): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    5.99218750   -0.00195312)
iface=   2, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    5.98437500   -0.00390625)
iface=   2, ipnt=   3 (Y): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iface=   2, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    5.96875000   -0.00781250)
iface=   2, ipnt=   4 (Y): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iface=   2, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    1.00000000    5.93750000   -0.01562500)
iface=   2, ipnt=   5 (Y): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iface=   2, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    1.00000000    5.90625000   -0.02343750)
iface=   2, ipnt=   6 (Y): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iface=   2, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    1.00000000    5.87500000   -0.03125000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    1.00000000    2.00000000   -1.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   1 (Z): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at    1.09801714    2.00000000   -0.99518473)
iedge=   1, ipnt=   2 (X): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   2 (Z): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at    1.19509032    2.00000000   -0.98078528)
iedge=   1, ipnt=   3 (X): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   3 (Z): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at    1.29028468    2.00000000   -0.95694034)
iedge=   1, ipnt=   4 (X): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   4 (Z): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at    1.38268343    2.00000000   -0.92387953)
iedge=   1, ipnt=   5 (X): anal=   0.50085903,  fd=   0.47139674,  err=   0.02946230 (at    1.47139674    2.00000000   -0.88192126)
...too many errors to list
iedge=   2, ipnt=   1 (Z): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at    1.00000000    5.99218750   -0.00195312)
iedge=   2, ipnt=   2 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    1.00000000    5.98437500   -0.00390625)
iedge=   2, ipnt=   3 (Y): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.96875000   -0.00781250)
iedge=   2, ipnt=   3 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    1.00000000    5.96875000   -0.00781250)
iedge=   2, ipnt=   4 (Y): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    5.93750000   -0.01562500)
iedge=   2, ipnt=   4 (Z): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at    1.00000000    5.93750000   -0.01562500)
iedge=   2, ipnt=   5 (Y): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at    1.00000000    5.90625000   -0.02343750)
iedge=   2, ipnt=   5 (Z): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at    1.00000000    5.90625000   -0.02343750)
iedge=   2, ipnt=   6 (Y): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    5.87500000   -0.03125000)
iedge=   2, ipnt=   6 (Z): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at    1.00000000    5.87500000   -0.03125000)
...too many errors to list
iedge=   4, ipnt=   1 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.99218750    0.00195312)
iedge=   4, ipnt=   2 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    5.98437500    0.00390625)
iedge=   4, ipnt=   3 (Y): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    1.00000000    5.96875000    0.00781250)
iedge=   4, ipnt=   3 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    5.96875000    0.00781250)
iedge=   4, ipnt=   4 (Y): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    1.00000000    5.93750000    0.01562500)
iedge=   4, ipnt=   4 (Z): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    1.00000000    5.93750000    0.01562500)
iedge=   4, ipnt=   5 (Y): anal=   0.00585937,  fd=   0.00551471,  err=   0.00034467 (at    1.00000000    5.90625000    0.02343750)
iedge=   4, ipnt=   5 (Z): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    1.00000000    5.90625000    0.02343750)
iedge=   4, ipnt=   6 (Y): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    1.00000000    5.87500000    0.03125000)
iedge=   4, ipnt=   6 (Z): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    1.00000000    5.87500000    0.03125000)
...too many errors to list
iedge=   6, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    2.00000000    1.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   1 (Z): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    0.90198286    2.00000000    0.99518473)
iedge=   6, ipnt=   2 (X): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   2 (Z): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    0.80490968    2.00000000    0.98078528)
iedge=   6, ipnt=   3 (X): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   3 (Z): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    0.70971532    2.00000000    0.95694034)
iedge=   6, ipnt=   4 (X): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   4 (Z): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    0.61731657    2.00000000    0.92387953)
iedge=   6, ipnt=   5 (X): anal=  -0.50085903,  fd=  -0.47139674,  err=  -0.02946230 (at    0.52860326    2.00000000    0.88192126)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (Z): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    2.00000000    1.00000000)
inode=   2, ipnt=   0 (Z): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at    1.00000000    2.00000000   -1.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.026 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC5b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.266 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  2.9302e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  2.9318e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -0.01470588,  fd=  -0.00000000,  err=  -0.01470588 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.00367647,  fd=  -0.00000000,  err=  -0.00367647 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.01463507,  fd=   0.00000000,  err=  -0.01463507 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.00144143,  fd=  -0.00000000,  err=   0.00144143 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Z): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   2 (X): anal=  -0.01442331,  fd=   0.00000000,  err=  -0.01442331 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.00286898,  fd=  -0.00000000,  err=   0.00286898 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Z): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   3 (X): anal=  -0.01407265,  fd=   0.00000000,  err=  -0.01407265 (at   -0.95694034    1.29028468    6.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.00426889,  fd=  -0.00000000,  err=   0.00426889 (at   -0.95694034    1.29028468    6.00000000)
...too many errors to list
iface=   2, ipnt=   3 (X): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    0.00781250    1.00000000    2.03125000)
iface=   2, ipnt=   4 (X): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    0.01562500    1.00000000    2.06250000)
iface=   2, ipnt=   5 (X): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    0.02343750    1.00000000    2.09375000)
iface=   2, ipnt=   6 (X): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    0.03125000    1.00000000    2.12500000)
iface=   2, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    0.03125000    1.00000000    2.12500000)
iface=   2, ipnt=   7 (X): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    0.03906250    1.00000000    2.15625000)
iface=   2, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    0.03906250    1.00000000    2.15625000)
iface=   2, ipnt=   8 (X): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    0.04687500    1.00000000    2.18750000)
iface=   2, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    0.04687500    1.00000000    2.18750000)
iface=   2, ipnt=   9 (X): anal=  -0.22162224,  fd=  -0.22242647,  err=   0.00080423 (at    0.05468750    1.00000000    2.21875000)
...too many errors to list
    d(Face)/d(zvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    1.00000000    6.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   2 (X): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   3 (X): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   4 (X): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   5 (X): anal=   0.01378002,  fd=   0.00000000,  err=   0.01378002 (at    0.88192126    1.47139674    6.00000000)
...too many errors to list
iedge=   2, ipnt=   3 (X): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at    0.00781250    1.00000000    2.03125000)
iedge=   2, ipnt=   4 (X): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at    0.01562500    1.00000000    2.06250000)
iedge=   2, ipnt=   5 (X): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at    0.02343750    1.00000000    2.09375000)
iedge=   2, ipnt=   6 (X): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at    0.03125000    1.00000000    2.12500000)
iedge=   2, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    0.03125000    1.00000000    2.12500000)
iedge=   2, ipnt=   7 (X): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at    0.03906250    1.00000000    2.15625000)
iedge=   2, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    0.03906250    1.00000000    2.15625000)
iedge=   2, ipnt=   8 (X): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at    0.04687500    1.00000000    2.18750000)
iedge=   2, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    0.04687500    1.00000000    2.18750000)
iedge=   2, ipnt=   9 (X): anal=  -0.22162224,  fd=  -0.22242647,  err=   0.00080423 (at    0.05468750    1.00000000    2.21875000)
...too many errors to list
iedge=   4, ipnt=   3 (X): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at   -0.00781250    1.00000000    2.03125000)
iedge=   4, ipnt=   4 (X): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at   -0.01562500    1.00000000    2.06250000)
iedge=   4, ipnt=   5 (X): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at   -0.02343750    1.00000000    2.09375000)
iedge=   4, ipnt=   6 (X): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at   -0.03125000    1.00000000    2.12500000)
iedge=   4, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at   -0.03125000    1.00000000    2.12500000)
iedge=   4, ipnt=   7 (X): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at   -0.03906250    1.00000000    2.15625000)
iedge=   4, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at   -0.03906250    1.00000000    2.15625000)
iedge=   4, ipnt=   8 (X): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at   -0.04687500    1.00000000    2.18750000)
iedge=   4, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at   -0.04687500    1.00000000    2.18750000)
iedge=   4, ipnt=   9 (X): anal=   0.22162224,  fd=   0.22242647,  err=  -0.00080423 (at   -0.05468750    1.00000000    2.21875000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at   -1.00000000    1.00000000    6.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   2 (X): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.01378002,  fd=  -0.00000000,  err=  -0.01378002 (at   -0.88192126    0.52860326    6.00000000)
...too many errors to list
    d(Edge)/d(zvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (X): anal=  -0.01562500,  fd=   0.00000000,  err=  -0.01562500 (at   -1.00000000    1.00000000    6.00000000)
inode=   2, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    1.00000000    6.00000000)
    d(Node)/d(zvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.9275e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.9484e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
iface=   1, ipnt=   0 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   1 (X): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Y): anal=  -0.02450429,  fd=  -0.02306286,  err=  -0.00144143 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   2 (X): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Y): anal=  -0.04877258,  fd=  -0.04590361,  err=  -0.00286898 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   3 (X): anal=   0.23923508,  fd=   0.22516243,  err=   0.01407265 (at   -0.95694034    1.29028468    6.00000000)
iface=   1, ipnt=   3 (Y): anal=  -0.07257117,  fd=  -0.06830228,  err=  -0.00426889 (at   -0.95694034    1.29028468    6.00000000)
...too many errors to list
iface=   2, ipnt=   3 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    0.00781250    1.00000000    2.03125000)
iface=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    0.01562500    1.00000000    2.06250000)
iface=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    0.02343750    1.00000000    2.09375000)
iface=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    0.03125000    1.00000000    2.12500000)
iface=   2, ipnt=   6 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.03125000    1.00000000    2.12500000)
iface=   2, ipnt=   7 (X): anal=  -0.00976562,  fd=  -0.00919118,  err=  -0.00057445 (at    0.03906250    1.00000000    2.15625000)
iface=   2, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    0.03906250    1.00000000    2.15625000)
iface=   2, ipnt=   8 (X): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    0.04687500    1.00000000    2.18750000)
iface=   2, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    0.04687500    1.00000000    2.18750000)
iface=   2, ipnt=   9 (X): anal=  -0.01367188,  fd=  -0.01286765,  err=  -0.00080423 (at    0.05468750    1.00000000    2.21875000)
...too many errors to list
    d(Face)/d(zbase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    1.00000000    6.00000000)
iedge=   1, ipnt=   1 (X): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   2 (X): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   3 (X): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   4 (X): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   5 (X): anal=  -0.01378002,  fd=  -0.00000000,  err=  -0.01378002 (at    0.88192126    1.47139674    6.00000000)
...too many errors to list
iedge=   2, ipnt=   3 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    0.00781250    1.00000000    2.03125000)
iedge=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    0.01562500    1.00000000    2.06250000)
iedge=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    0.02343750    1.00000000    2.09375000)
iedge=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    0.03125000    1.00000000    2.12500000)
iedge=   2, ipnt=   6 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.03125000    1.00000000    2.12500000)
iedge=   2, ipnt=   7 (X): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at    0.03906250    1.00000000    2.15625000)
iedge=   2, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    0.03906250    1.00000000    2.15625000)
iedge=   2, ipnt=   8 (X): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at    0.04687500    1.00000000    2.18750000)
iedge=   2, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    0.04687500    1.00000000    2.18750000)
iedge=   2, ipnt=   9 (X): anal=  -0.01367187,  fd=  -0.01286765,  err=  -0.00080423 (at    0.05468750    1.00000000    2.21875000)
...too many errors to list
iedge=   4, ipnt=   3 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at   -0.00781250    1.00000000    2.03125000)
iedge=   4, ipnt=   4 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at   -0.01562500    1.00000000    2.06250000)
iedge=   4, ipnt=   5 (X): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at   -0.02343750    1.00000000    2.09375000)
iedge=   4, ipnt=   6 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at   -0.03125000    1.00000000    2.12500000)
iedge=   4, ipnt=   6 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at   -0.03125000    1.00000000    2.12500000)
iedge=   4, ipnt=   7 (X): anal=   0.00976563,  fd=   0.00919118,  err=   0.00057445 (at   -0.03906250    1.00000000    2.15625000)
iedge=   4, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at   -0.03906250    1.00000000    2.15625000)
iedge=   4, ipnt=   8 (X): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at   -0.04687500    1.00000000    2.18750000)
iedge=   4, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at   -0.04687500    1.00000000    2.18750000)
iedge=   4, ipnt=   9 (X): anal=   0.01367187,  fd=   0.01286765,  err=   0.00080423 (at   -0.05468750    1.00000000    2.21875000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at   -1.00000000    1.00000000    6.00000000)
iedge=   6, ipnt=   1 (X): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   2 (X): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   3 (X): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.01378002,  fd=   0.00000000,  err=   0.01378002 (at   -0.88192126    0.52860326    6.00000000)
...too many errors to list
    d(Edge)/d(zbase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at   -1.00000000    1.00000000    6.00000000)
inode=   2, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    1.00000000    6.00000000)
    d(Node)/d(zbase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -1.00000000,  fd=  -0.94117647,  err=  -0.05882353 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at   -1.00000000    1.00000000    6.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.99518473,  fd=  -0.93664445,  err=  -0.05854028 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.09801714,  fd=   0.09225143,  err=   0.00576571 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   1 (Z): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at   -0.99518473    1.09801714    6.00000000)
iface=   1, ipnt=   2 (X): anal=  -0.98078528,  fd=  -0.92309203,  err=  -0.05769325 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.19509032,  fd=   0.18361442,  err=   0.01147590 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   2 (Z): anal=  -0.25000000,  fd=  -0.23529412,  err=  -0.01470588 (at   -0.98078528    1.19509032    6.00000000)
iface=   1, ipnt=   3 (X): anal=  -0.95694034,  fd=  -0.90064973,  err=  -0.05629061 (at   -0.95694034    1.29028468    6.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.29028468,  fd=   0.27320911,  err=   0.01707557 (at   -0.95694034    1.29028468    6.00000000)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.00195312    1.00000000    2.00781250)
iface=   2, ipnt=   2 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    0.00390625    1.00000000    2.01562500)
iface=   2, ipnt=   3 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    0.00781250    1.00000000    2.03125000)
iface=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    0.00781250    1.00000000    2.03125000)
iface=   2, ipnt=   4 (X): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    0.01562500    1.00000000    2.06250000)
iface=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    0.01562500    1.00000000    2.06250000)
iface=   2, ipnt=   5 (X): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    0.02343750    1.00000000    2.09375000)
iface=   2, ipnt=   5 (Z): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at    0.02343750    1.00000000    2.09375000)
iface=   2, ipnt=   6 (X): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    0.03125000    1.00000000    2.12500000)
iface=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    0.03125000    1.00000000    2.12500000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (X): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    1.00000000    6.00000000)
iedge=   1, ipnt=   1 (X): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at    0.99518473    1.09801714    6.00000000)
iedge=   1, ipnt=   2 (X): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   2 (Y): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at    0.98078528    1.19509032    6.00000000)
iedge=   1, ipnt=   3 (X): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   3 (Y): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at    0.95694034    1.29028468    6.00000000)
iedge=   1, ipnt=   4 (X): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   4 (Y): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at    0.92387953    1.38268343    6.00000000)
iedge=   1, ipnt=   5 (X): anal=   0.93704134,  fd=   0.88192126,  err=   0.05512008 (at    0.88192126    1.47139674    6.00000000)
...too many errors to list
iedge=   2, ipnt=   1 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.00195312    1.00000000    2.00781250)
iedge=   2, ipnt=   2 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    0.00390625    1.00000000    2.01562500)
iedge=   2, ipnt=   3 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    0.00781250    1.00000000    2.03125000)
iedge=   2, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at    0.00781250    1.00000000    2.03125000)
iedge=   2, ipnt=   4 (X): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    0.01562500    1.00000000    2.06250000)
iedge=   2, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at    0.01562500    1.00000000    2.06250000)
iedge=   2, ipnt=   5 (X): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    0.02343750    1.00000000    2.09375000)
iedge=   2, ipnt=   5 (Z): anal=  -0.00585937,  fd=  -0.00551471,  err=  -0.00034467 (at    0.02343750    1.00000000    2.09375000)
iedge=   2, ipnt=   6 (X): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    0.03125000    1.00000000    2.12500000)
iedge=   2, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at    0.03125000    1.00000000    2.12500000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00195312    1.00000000    2.00781250)
iedge=   4, ipnt=   2 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.00390625    1.00000000    2.01562500)
iedge=   4, ipnt=   3 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.00781250    1.00000000    2.03125000)
iedge=   4, ipnt=   3 (Z): anal=  -0.00195312,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00781250    1.00000000    2.03125000)
iedge=   4, ipnt=   4 (X): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at   -0.01562500    1.00000000    2.06250000)
iedge=   4, ipnt=   4 (Z): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.01562500    1.00000000    2.06250000)
iedge=   4, ipnt=   5 (X): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at   -0.02343750    1.00000000    2.09375000)
iedge=   4, ipnt=   5 (Z): anal=  -0.00585937,  fd=  -0.00551471,  err=  -0.00034467 (at   -0.02343750    1.00000000    2.09375000)
iedge=   4, ipnt=   6 (X): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at   -0.03125000    1.00000000    2.12500000)
iedge=   4, ipnt=   6 (Z): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.03125000    1.00000000    2.12500000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at   -1.00000000    1.00000000    6.00000000)
iedge=   6, ipnt=   1 (X): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at   -0.99518473    0.90198286    6.00000000)
iedge=   6, ipnt=   2 (X): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at   -0.98078528    0.80490968    6.00000000)
iedge=   6, ipnt=   3 (X): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at   -0.95694034    0.70971532    6.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at   -0.92387953    0.61731657    6.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.93704134,  fd=  -0.88192126,  err=  -0.05512008 (at   -0.88192126    0.52860326    6.00000000)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (X): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at   -1.00000000    1.00000000    6.00000000)
inode=   2, ipnt=   0 (X): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    1.00000000    6.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.026 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.275 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xvrtx" for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
 

*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "yvrtx" for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  2.9406e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1197e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zvrtx" for ibody=1
iface=   1, ipnt=   0 (X): anal=  -0.01470588,  fd=   0.00000000,  err=  -0.01470588 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=  -0.01463507,  fd=   0.00000000,  err=  -0.01463507 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Y): anal=  -0.00144143,  fd=   0.00000000,  err=  -0.00144143 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Z): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   2 (X): anal=  -0.01442331,  fd=   0.00000000,  err=  -0.01442331 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Y): anal=  -0.00286898,  fd=   0.00000000,  err=  -0.00286898 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Z): anal=  -0.00367647,  fd=   0.00000000,  err=  -0.00367647 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   3 (X): anal=  -0.01407265,  fd=   0.00000000,  err=  -0.01407265 (at    0.95694034    1.29028468    2.00000000)
iface=   1, ipnt=   3 (Y): anal=  -0.00426889,  fd=   0.00000000,  err=  -0.00426889 (at    0.95694034    1.29028468    2.00000000)
...too many errors to list
iface=   2, ipnt=   3 (X): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iface=   2, ipnt=   4 (X): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iface=   2, ipnt=   5 (X): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iface=   2, ipnt=   6 (X): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at   -0.03125000    1.00000000    5.87500000)
iface=   2, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at   -0.03125000    1.00000000    5.87500000)
iface=   2, ipnt=   7 (X): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at   -0.03906250    1.00000000    5.84375000)
iface=   2, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at   -0.03906250    1.00000000    5.84375000)
iface=   2, ipnt=   8 (X): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at   -0.04687500    1.00000000    5.81250000)
iface=   2, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at   -0.04687500    1.00000000    5.81250000)
iface=   2, ipnt=   9 (X): anal=  -0.22162224,  fd=  -0.22242647,  err=   0.00080423 (at   -0.05468750    1.00000000    5.78125000)
...too many errors to list
    d(Face)/d(zvrtx) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at   -1.00000000    1.00000000    2.00000000)
iedge=   1, ipnt=   1 (X): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   2 (X): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   3 (X): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   4 (X): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   5 (X): anal=   0.01378002,  fd=   0.00000000,  err=   0.01378002 (at   -0.88192126    1.47139674    2.00000000)
...too many errors to list
iedge=   2, ipnt=   3 (X): anal=  -0.23334099,  fd=  -0.23345588,  err=   0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iedge=   2, ipnt=   4 (X): anal=  -0.23138787,  fd=  -0.23161765,  err=   0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iedge=   2, ipnt=   5 (X): anal=  -0.22943474,  fd=  -0.22977941,  err=   0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iedge=   2, ipnt=   6 (X): anal=  -0.22748162,  fd=  -0.22794118,  err=   0.00045956 (at   -0.03125000    1.00000000    5.87500000)
iedge=   2, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at   -0.03125000    1.00000000    5.87500000)
iedge=   2, ipnt=   7 (X): anal=  -0.22552849,  fd=  -0.22610294,  err=   0.00057445 (at   -0.03906250    1.00000000    5.84375000)
iedge=   2, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at   -0.03906250    1.00000000    5.84375000)
iedge=   2, ipnt=   8 (X): anal=  -0.22357537,  fd=  -0.22426471,  err=   0.00068934 (at   -0.04687500    1.00000000    5.81250000)
iedge=   2, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at   -0.04687500    1.00000000    5.81250000)
iedge=   2, ipnt=   9 (X): anal=  -0.22162224,  fd=  -0.22242647,  err=   0.00080423 (at   -0.05468750    1.00000000    5.78125000)
...too many errors to list
iedge=   4, ipnt=   3 (X): anal=   0.23334099,  fd=   0.23345588,  err=  -0.00011489 (at    0.00781250    1.00000000    5.96875000)
iedge=   4, ipnt=   4 (X): anal=   0.23138787,  fd=   0.23161765,  err=  -0.00022978 (at    0.01562500    1.00000000    5.93750000)
iedge=   4, ipnt=   5 (X): anal=   0.22943474,  fd=   0.22977941,  err=  -0.00034467 (at    0.02343750    1.00000000    5.90625000)
iedge=   4, ipnt=   6 (X): anal=   0.22748162,  fd=   0.22794118,  err=  -0.00045956 (at    0.03125000    1.00000000    5.87500000)
iedge=   4, ipnt=   6 (Z): anal=   0.05687040,  fd=   0.05698529,  err=  -0.00011489 (at    0.03125000    1.00000000    5.87500000)
iedge=   4, ipnt=   7 (X): anal=   0.22552849,  fd=   0.22610294,  err=  -0.00057445 (at    0.03906250    1.00000000    5.84375000)
iedge=   4, ipnt=   7 (Z): anal=   0.05638212,  fd=   0.05652574,  err=  -0.00014361 (at    0.03906250    1.00000000    5.84375000)
iedge=   4, ipnt=   8 (X): anal=   0.22357537,  fd=   0.22426471,  err=  -0.00068934 (at    0.04687500    1.00000000    5.81250000)
iedge=   4, ipnt=   8 (Z): anal=   0.05589384,  fd=   0.05606618,  err=  -0.00017233 (at    0.04687500    1.00000000    5.81250000)
iedge=   4, ipnt=   9 (X): anal=   0.22162224,  fd=   0.22242647,  err=  -0.00080423 (at    0.05468750    1.00000000    5.78125000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    1.00000000    2.00000000)
iedge=   6, ipnt=   1 (X): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   2 (X): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.01378002,  fd=  -0.00000000,  err=  -0.01378002 (at    0.88192126    0.52860326    2.00000000)
...too many errors to list
    d(Edge)/d(zvrtx) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at    1.00000000    1.00000000    2.00000000)
inode=   2, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at   -1.00000000    1.00000000    2.00000000)
    d(Node)/d(zvrtx) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "xbase" for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.9397e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1226e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.1226e-08)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "ybase" for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.9588e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1391e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "zbase" for ibody=1
iface=   1, ipnt=   0 (X): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=   0.24879618,  fd=   0.23416111,  err=   0.01463507 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.02450429,  fd=   0.02306286,  err=   0.00144143 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   2 (X): anal=   0.24519632,  fd=   0.23077301,  err=   0.01442331 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.04877258,  fd=   0.04590361,  err=   0.00286898 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Z): anal=   0.06250000,  fd=   0.05882353,  err=   0.00367647 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   3 (X): anal=   0.23923508,  fd=   0.22516243,  err=   0.01407265 (at    0.95694034    1.29028468    2.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.07257117,  fd=   0.06830228,  err=   0.00426889 (at    0.95694034    1.29028468    2.00000000)
...too many errors to list
iface=   2, ipnt=   3 (X): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iface=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iface=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iface=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.03125000    1.00000000    5.87500000)
iface=   2, ipnt=   6 (Z): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at   -0.03125000    1.00000000    5.87500000)
iface=   2, ipnt=   7 (X): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at   -0.03906250    1.00000000    5.84375000)
iface=   2, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at   -0.03906250    1.00000000    5.84375000)
iface=   2, ipnt=   8 (X): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at   -0.04687500    1.00000000    5.81250000)
iface=   2, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at   -0.04687500    1.00000000    5.81250000)
iface=   2, ipnt=   9 (X): anal=  -0.01367188,  fd=  -0.01286765,  err=  -0.00080423 (at   -0.05468750    1.00000000    5.78125000)
...too many errors to list
    d(Face)/d(zbase) check complete with    13642 total errors (errmax=  1.4706e-02)
iedge=   1, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at   -1.00000000    1.00000000    2.00000000)
iedge=   1, ipnt=   1 (X): anal=  -0.01554976,  fd=  -0.00000000,  err=  -0.01554976 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.00153152,  fd=   0.00000000,  err=   0.00153152 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   2 (X): anal=  -0.01532477,  fd=  -0.00000000,  err=  -0.01532477 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   2 (Y): anal=   0.00304829,  fd=   0.00000000,  err=   0.00304829 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   3 (X): anal=  -0.01495219,  fd=  -0.00000000,  err=  -0.01495219 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   3 (Y): anal=   0.00453570,  fd=   0.00000000,  err=   0.00453570 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   4 (X): anal=  -0.01443562,  fd=  -0.00000000,  err=  -0.01443562 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   4 (Y): anal=   0.00597943,  fd=   0.00000000,  err=   0.00597943 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   5 (X): anal=  -0.01378002,  fd=  -0.00000000,  err=  -0.01378002 (at   -0.88192126    1.47139674    2.00000000)
...too many errors to list
iedge=   2, ipnt=   3 (X): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iedge=   2, ipnt=   4 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iedge=   2, ipnt=   5 (X): anal=  -0.00585938,  fd=  -0.00551471,  err=  -0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iedge=   2, ipnt=   6 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.03125000    1.00000000    5.87500000)
iedge=   2, ipnt=   6 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at   -0.03125000    1.00000000    5.87500000)
iedge=   2, ipnt=   7 (X): anal=  -0.00976563,  fd=  -0.00919118,  err=  -0.00057445 (at   -0.03906250    1.00000000    5.84375000)
iedge=   2, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at   -0.03906250    1.00000000    5.84375000)
iedge=   2, ipnt=   8 (X): anal=  -0.01171875,  fd=  -0.01102941,  err=  -0.00068934 (at   -0.04687500    1.00000000    5.81250000)
iedge=   2, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at   -0.04687500    1.00000000    5.81250000)
iedge=   2, ipnt=   9 (X): anal=  -0.01367188,  fd=  -0.01286765,  err=  -0.00080423 (at   -0.05468750    1.00000000    5.78125000)
...too many errors to list
iedge=   4, ipnt=   3 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.00781250    1.00000000    5.96875000)
iedge=   4, ipnt=   4 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    0.01562500    1.00000000    5.93750000)
iedge=   4, ipnt=   5 (X): anal=   0.00585937,  fd=   0.00551471,  err=   0.00034467 (at    0.02343750    1.00000000    5.90625000)
iedge=   4, ipnt=   6 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    0.03125000    1.00000000    5.87500000)
iedge=   4, ipnt=   6 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.03125000    1.00000000    5.87500000)
iedge=   4, ipnt=   7 (X): anal=   0.00976562,  fd=   0.00919118,  err=   0.00057445 (at    0.03906250    1.00000000    5.84375000)
iedge=   4, ipnt=   7 (Z): anal=   0.00244141,  fd=   0.00229779,  err=   0.00014361 (at    0.03906250    1.00000000    5.84375000)
iedge=   4, ipnt=   8 (X): anal=   0.01171875,  fd=   0.01102941,  err=   0.00068934 (at    0.04687500    1.00000000    5.81250000)
iedge=   4, ipnt=   8 (Z): anal=   0.00292969,  fd=   0.00275735,  err=   0.00017233 (at    0.04687500    1.00000000    5.81250000)
iedge=   4, ipnt=   9 (X): anal=   0.01367187,  fd=   0.01286765,  err=   0.00080423 (at    0.05468750    1.00000000    5.78125000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    1.00000000    2.00000000)
iedge=   6, ipnt=   1 (X): anal=   0.01554976,  fd=   0.00000000,  err=   0.01554976 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00153152,  fd=  -0.00000000,  err=  -0.00153152 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   2 (X): anal=   0.01532477,  fd=   0.00000000,  err=   0.01532477 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00304829,  fd=  -0.00000000,  err=  -0.00304829 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   3 (X): anal=   0.01495219,  fd=   0.00000000,  err=   0.01495219 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00453570,  fd=  -0.00000000,  err=  -0.00453570 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.01443562,  fd=   0.00000000,  err=   0.01443562 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00597943,  fd=  -0.00000000,  err=  -0.00597943 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.01378002,  fd=   0.00000000,  err=   0.01378002 (at    0.88192126    0.52860326    2.00000000)
...too many errors to list
    d(Edge)/d(zbase) check complete with      412 total errors (errmax=  1.5625e-02)
inode=   1, ipnt=   0 (X): anal=   0.01562500,  fd=   0.00000000,  err=   0.01562500 (at    1.00000000    1.00000000    2.00000000)
inode=   2, ipnt=   0 (X): anal=  -0.01562500,  fd=  -0.00000000,  err=  -0.01562500 (at   -1.00000000    1.00000000    2.00000000)
    d(Node)/d(zbase) check complete with        2 total errors (errmax=  1.5625e-02)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1

Comparing configuration sensitivities wrt "rad" for ibody=1
iface=   1, ipnt=   0 (X): anal=   1.00000000,  fd=   0.94117647,  err=   0.05882353 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   0 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    1.00000000    1.00000000    2.00000000)
iface=   1, ipnt=   1 (X): anal=   0.99518473,  fd=   0.93664445,  err=   0.05854028 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.09801714,  fd=   0.09225143,  err=   0.00576571 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   1 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    0.99518473    1.09801714    2.00000000)
iface=   1, ipnt=   2 (X): anal=   0.98078528,  fd=   0.92309203,  err=   0.05769325 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.19509032,  fd=   0.18361442,  err=   0.01147590 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   2 (Z): anal=   0.25000000,  fd=   0.23529412,  err=   0.01470588 (at    0.98078528    1.19509032    2.00000000)
iface=   1, ipnt=   3 (X): anal=   0.95694034,  fd=   0.90064973,  err=   0.05629061 (at    0.95694034    1.29028468    2.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.29028468,  fd=   0.27320911,  err=   0.01707557 (at    0.95694034    1.29028468    2.00000000)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00195312    1.00000000    5.99218750)
iface=   2, ipnt=   2 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.00390625    1.00000000    5.98437500)
iface=   2, ipnt=   3 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.00781250    1.00000000    5.96875000)
iface=   2, ipnt=   3 (Z): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iface=   2, ipnt=   4 (X): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at   -0.01562500    1.00000000    5.93750000)
iface=   2, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iface=   2, ipnt=   5 (X): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at   -0.02343750    1.00000000    5.90625000)
iface=   2, ipnt=   5 (Z): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iface=   2, ipnt=   6 (X): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at   -0.03125000    1.00000000    5.87500000)
iface=   2, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at   -0.03125000    1.00000000    5.87500000)
...too many errors to list
    d(Face)/d(rad) check complete with    14132 total errors (errmax=  5.8824e-02)
iedge=   1, ipnt=   0 (X): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at   -1.00000000    1.00000000    2.00000000)
iedge=   1, ipnt=   1 (X): anal=  -1.05738377,  fd=  -0.99518473,  err=  -0.06219905 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   1 (Y): anal=   0.10414321,  fd=   0.09801714,  err=   0.00612607 (at   -0.99518473    1.09801714    2.00000000)
iedge=   1, ipnt=   2 (X): anal=  -1.04208436,  fd=  -0.98078528,  err=  -0.06129908 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   2 (Y): anal=   0.20728347,  fd=   0.19509032,  err=   0.01219315 (at   -0.98078528    1.19509032    2.00000000)
iedge=   1, ipnt=   3 (X): anal=  -1.01674911,  fd=  -0.95694034,  err=  -0.05980877 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   3 (Y): anal=   0.30842747,  fd=   0.29028468,  err=   0.01814279 (at   -0.95694034    1.29028468    2.00000000)
iedge=   1, ipnt=   4 (X): anal=  -0.98162200,  fd=  -0.92387953,  err=  -0.05774247 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   4 (Y): anal=   0.40660115,  fd=   0.38268343,  err=   0.02391771 (at   -0.92387953    1.38268343    2.00000000)
iedge=   1, ipnt=   5 (X): anal=  -0.93704134,  fd=  -0.88192126,  err=  -0.05512008 (at   -0.88192126    1.47139674    2.00000000)
...too many errors to list
iedge=   2, ipnt=   1 (X): anal=  -0.00195313,  fd=  -0.00183824,  err=  -0.00011489 (at   -0.00195312    1.00000000    5.99218750)
iedge=   2, ipnt=   2 (X): anal=  -0.00390625,  fd=  -0.00367647,  err=  -0.00022978 (at   -0.00390625    1.00000000    5.98437500)
iedge=   2, ipnt=   3 (X): anal=  -0.00781250,  fd=  -0.00735294,  err=  -0.00045956 (at   -0.00781250    1.00000000    5.96875000)
iedge=   2, ipnt=   3 (Z): anal=   0.00195313,  fd=   0.00183824,  err=   0.00011489 (at   -0.00781250    1.00000000    5.96875000)
iedge=   2, ipnt=   4 (X): anal=  -0.01562500,  fd=  -0.01470588,  err=  -0.00091912 (at   -0.01562500    1.00000000    5.93750000)
iedge=   2, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at   -0.01562500    1.00000000    5.93750000)
iedge=   2, ipnt=   5 (X): anal=  -0.02343750,  fd=  -0.02205882,  err=  -0.00137868 (at   -0.02343750    1.00000000    5.90625000)
iedge=   2, ipnt=   5 (Z): anal=   0.00585938,  fd=   0.00551471,  err=   0.00034467 (at   -0.02343750    1.00000000    5.90625000)
iedge=   2, ipnt=   6 (X): anal=  -0.03125000,  fd=  -0.02941176,  err=  -0.00183824 (at   -0.03125000    1.00000000    5.87500000)
iedge=   2, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at   -0.03125000    1.00000000    5.87500000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.00195312    1.00000000    5.99218750)
iedge=   4, ipnt=   2 (X): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    0.00390625    1.00000000    5.98437500)
iedge=   4, ipnt=   3 (X): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    0.00781250    1.00000000    5.96875000)
iedge=   4, ipnt=   3 (Z): anal=   0.00195312,  fd=   0.00183824,  err=   0.00011489 (at    0.00781250    1.00000000    5.96875000)
iedge=   4, ipnt=   4 (X): anal=   0.01562500,  fd=   0.01470588,  err=   0.00091912 (at    0.01562500    1.00000000    5.93750000)
iedge=   4, ipnt=   4 (Z): anal=   0.00390625,  fd=   0.00367647,  err=   0.00022978 (at    0.01562500    1.00000000    5.93750000)
iedge=   4, ipnt=   5 (X): anal=   0.02343750,  fd=   0.02205882,  err=   0.00137868 (at    0.02343750    1.00000000    5.90625000)
iedge=   4, ipnt=   5 (Z): anal=   0.00585937,  fd=   0.00551471,  err=   0.00034467 (at    0.02343750    1.00000000    5.90625000)
iedge=   4, ipnt=   6 (X): anal=   0.03125000,  fd=   0.02941176,  err=   0.00183824 (at    0.03125000    1.00000000    5.87500000)
iedge=   4, ipnt=   6 (Z): anal=   0.00781250,  fd=   0.00735294,  err=   0.00045956 (at    0.03125000    1.00000000    5.87500000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    1.00000000    2.00000000)
iedge=   6, ipnt=   1 (X): anal=   1.05738377,  fd=   0.99518473,  err=   0.06219905 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.10414321,  fd=  -0.09801714,  err=  -0.00612607 (at    0.99518473    0.90198286    2.00000000)
iedge=   6, ipnt=   2 (X): anal=   1.04208436,  fd=   0.98078528,  err=   0.06129908 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.20728347,  fd=  -0.19509032,  err=  -0.01219315 (at    0.98078528    0.80490968    2.00000000)
iedge=   6, ipnt=   3 (X): anal=   1.01674911,  fd=   0.95694034,  err=   0.05980877 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.30842747,  fd=  -0.29028468,  err=  -0.01814279 (at    0.95694034    0.70971532    2.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.98162200,  fd=   0.92387953,  err=   0.05774247 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.40660115,  fd=  -0.38268343,  err=  -0.02391771 (at    0.92387953    0.61731657    2.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.93704134,  fd=   0.88192126,  err=   0.05512008 (at    0.88192126    0.52860326    2.00000000)
...too many errors to list
    d(Edge)/d(rad) check complete with      422 total errors (errmax=  6.2500e-02)
inode=   1, ipnt=   0 (X): anal=   1.06250000,  fd=   1.00000000,  err=   0.06250000 (at    1.00000000    1.00000000    2.00000000)
inode=   2, ipnt=   0 (X): anal=  -1.06250000,  fd=  -1.00000000,  err=  -0.06250000 (at   -1.00000000    1.00000000    2.00000000)
    d(Node)/d(rad) check complete with        2 total errors (errmax=  6.2500e-02)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.028 sec

Sensitivity checks complete with    42668 tnotal errors (max config err=  6.2500e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designC6b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xvrtx"
*********************************************************

Generating perturbed configuration with delta-xvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "yvrtx"
*********************************************************

Generating perturbed configuration with delta-yvrtx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(yvrtx) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(yvrtx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zvrtx"
*********************************************************

Generating perturbed configuration with delta-zvrtx[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zvrtx) check complete with        0 total errors (errmax=  9.0959e-05)
    d(Edge)/d(zvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
    d(Node)/d(zvrtx) check complete with        0 total errors (errmax=  9.3750e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  3.1250e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.1250e-08)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-05)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  3.1250e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=1
Computing distances of perturbed points from perturbed configuration for ibody=1
    d(Face)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  6.2500e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.266 sec

Sensitivity checks complete with        0 total errors (max tessel err=  9.3750e-05) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "thickness" for ibody=4
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  5.0016e-13)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  5.0016e-13)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "camber" for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "croot" for ibody=4
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "aspect" for ibody=4
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.309 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.1189e-16)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.1565e-19)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.2248e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(croot) check complete with        0 total errors (errmax=  2.2215e-16)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.5943e-17)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  6.9389e-18)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  2.2248e-16)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.250 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.2249e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "thickness" for ibody=3
iface=   1, ipnt=  65 (X): anal=   0.00104289,  fd=   0.02422571,  err=  -0.02318282 (at    0.93847941    0.01401124   -4.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.00491703,  fd=   0.11421948,  err=  -0.10930246 (at    0.93847941    0.01401124   -4.00000000)
iface=   1, ipnt=  66 (X): anal=   0.00123427,  fd=   0.03887392,  err=  -0.03763965 (at    0.87656797    0.02617967   -4.00000000)
iface=   1, ipnt=  66 (Y): anal=   0.00681596,  fd=   0.21467260,  err=  -0.20785663 (at    0.87656797    0.02617967   -4.00000000)
iface=   1, ipnt=  67 (X): anal=   0.00100060,  fd=   0.04523252,  err=  -0.04423192 (at    0.81432086    0.03649445   -4.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.00665271,  fd=   0.30073786,  err=  -0.29408516 (at    0.81432086    0.03649445   -4.00000000)
iface=   1, ipnt=  68 (X): anal=   0.00063350,  fd=   0.04462623,  err=  -0.04399273 (at    0.75179357    0.04494639   -4.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.00527913,  fd=   0.37188521,  err=  -0.36660608 (at    0.75179357    0.04494639   -4.00000000)
iface=   1, ipnt=  69 (X): anal=   0.00030735,  fd=   0.03841063,  err=  -0.03810328 (at    0.68904183    0.05152794   -4.00000000)
iface=   1, ipnt=  69 (Y): anal=   0.00342213,  fd=   0.42767807,  err=  -0.42425594 (at    0.68904183    0.05152794   -4.00000000)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=  -0.00104289,  fd=  -0.02422571,  err=   0.02318282 (at    0.06152059   -0.01401124   -4.00000000)
iface=   2, ipnt=  65 (Y): anal=  -0.00491703,  fd=  -0.11421948,  err=   0.10930246 (at    0.06152059   -0.01401124   -4.00000000)
iface=   2, ipnt=  66 (X): anal=  -0.00123427,  fd=  -0.03887392,  err=   0.03763965 (at    0.12343203   -0.02617967   -4.00000000)
iface=   2, ipnt=  66 (Y): anal=  -0.00681596,  fd=  -0.21467260,  err=   0.20785663 (at    0.12343203   -0.02617967   -4.00000000)
iface=   2, ipnt=  67 (X): anal=  -0.00100060,  fd=  -0.04523252,  err=   0.04423192 (at    0.18567914   -0.03649445   -4.00000000)
iface=   2, ipnt=  67 (Y): anal=  -0.00665271,  fd=  -0.30073786,  err=   0.29408516 (at    0.18567914   -0.03649445   -4.00000000)
iface=   2, ipnt=  68 (X): anal=  -0.00063350,  fd=  -0.04462623,  err=   0.04399273 (at    0.24820643   -0.04494639   -4.00000000)
iface=   2, ipnt=  68 (Y): anal=  -0.00527913,  fd=  -0.37188521,  err=   0.36660608 (at    0.24820643   -0.04494639   -4.00000000)
iface=   2, ipnt=  69 (X): anal=  -0.00030735,  fd=  -0.03841063,  err=   0.03810328 (at    0.31095817   -0.05152794   -4.00000000)
iface=   2, ipnt=  69 (Y): anal=  -0.00342213,  fd=  -0.42767807,  err=   0.42425594 (at    0.31095817   -0.05152794   -4.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     3770 total errors (errmax=  5.0000e-01)
iedge=   3, ipnt=   1 (X): anal=   0.00104289,  fd=   0.02422571,  err=  -0.02318282 (at    0.93847941    0.01401124    0.00000000)
iedge=   3, ipnt=   1 (Y): anal=   0.00491703,  fd=   0.11421948,  err=  -0.10930246 (at    0.93847941    0.01401124    0.00000000)
iedge=   3, ipnt=   2 (X): anal=   0.00123427,  fd=   0.03887392,  err=  -0.03763965 (at    0.87656797    0.02617967    0.00000000)
iedge=   3, ipnt=   2 (Y): anal=   0.00681596,  fd=   0.21467260,  err=  -0.20785663 (at    0.87656797    0.02617967    0.00000000)
iedge=   3, ipnt=   3 (X): anal=   0.00100060,  fd=   0.04523252,  err=  -0.04423192 (at    0.81432086    0.03649445    0.00000000)
iedge=   3, ipnt=   3 (Y): anal=   0.00665271,  fd=   0.30073786,  err=  -0.29408516 (at    0.81432086    0.03649445    0.00000000)
iedge=   3, ipnt=   4 (X): anal=   0.00063350,  fd=   0.04462623,  err=  -0.04399273 (at    0.75179357    0.04494639    0.00000000)
iedge=   3, ipnt=   4 (Y): anal=   0.00527913,  fd=   0.37188521,  err=  -0.36660608 (at    0.75179357    0.04494639    0.00000000)
iedge=   3, ipnt=   5 (X): anal=   0.00030735,  fd=   0.03841063,  err=  -0.03810328 (at    0.68904183    0.05152794    0.00000000)
iedge=   3, ipnt=   5 (Y): anal=   0.00342213,  fd=   0.42767807,  err=  -0.42425594 (at    0.68904183    0.05152794    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00104289,  fd=   0.02422571,  err=  -0.02318282 (at    0.93847941    0.01401124   -4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00491703,  fd=   0.11421948,  err=  -0.10930246 (at    0.93847941    0.01401124   -4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00123427,  fd=   0.03887392,  err=  -0.03763965 (at    0.87656797    0.02617967   -4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00681596,  fd=   0.21467260,  err=  -0.20785663 (at    0.87656797    0.02617967   -4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00100060,  fd=   0.04523252,  err=  -0.04423192 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00665271,  fd=   0.30073786,  err=  -0.29408516 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.00063350,  fd=   0.04462623,  err=  -0.04399273 (at    0.75179357    0.04494639   -4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00527913,  fd=   0.37188521,  err=  -0.36660608 (at    0.75179357    0.04494639   -4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.00030735,  fd=   0.03841063,  err=  -0.03810328 (at    0.68904183    0.05152794   -4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00342213,  fd=   0.42767807,  err=  -0.42425594 (at    0.68904183    0.05152794   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=  -0.00104289,  fd=  -0.02422571,  err=   0.02318282 (at    0.06152059   -0.01401124    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=  -0.00491703,  fd=  -0.11421948,  err=   0.10930246 (at    0.06152059   -0.01401124    0.00000000)
iedge=   5, ipnt=   2 (X): anal=  -0.00123427,  fd=  -0.03887392,  err=   0.03763965 (at    0.12343203   -0.02617967    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=  -0.00681596,  fd=  -0.21467260,  err=   0.20785663 (at    0.12343203   -0.02617967    0.00000000)
iedge=   5, ipnt=   3 (X): anal=  -0.00100060,  fd=  -0.04523252,  err=   0.04423192 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=  -0.00665271,  fd=  -0.30073786,  err=   0.29408516 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=  -0.00063350,  fd=  -0.04462623,  err=   0.04399273 (at    0.24820643   -0.04494639    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=  -0.00527913,  fd=  -0.37188521,  err=   0.36660608 (at    0.24820643   -0.04494639    0.00000000)
iedge=   5, ipnt=   5 (X): anal=  -0.00030735,  fd=  -0.03841063,  err=   0.03810328 (at    0.31095817   -0.05152794    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=  -0.00342213,  fd=  -0.42767807,  err=   0.42425594 (at    0.31095817   -0.05152794    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=  -0.00104289,  fd=  -0.02422571,  err=   0.02318282 (at    0.06152059   -0.01401124   -4.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00491703,  fd=  -0.11421948,  err=   0.10930246 (at    0.06152059   -0.01401124   -4.00000000)
iedge=   6, ipnt=   2 (X): anal=  -0.00123427,  fd=  -0.03887392,  err=   0.03763965 (at    0.12343203   -0.02617967   -4.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00681596,  fd=  -0.21467260,  err=   0.20785663 (at    0.12343203   -0.02617967   -4.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.00100060,  fd=  -0.04523252,  err=   0.04423192 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00665271,  fd=  -0.30073786,  err=   0.29408516 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.00063350,  fd=  -0.04462623,  err=   0.04399273 (at    0.24820643   -0.04494639   -4.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00527913,  fd=  -0.37188521,  err=   0.36660608 (at    0.24820643   -0.04494639   -4.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.00030735,  fd=  -0.03841063,  err=   0.03810328 (at    0.31095817   -0.05152794   -4.00000000)
iedge=   6, ipnt=   5 (Y): anal=  -0.00342213,  fd=  -0.42767807,  err=   0.42425594 (at    0.31095817   -0.05152794   -4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      116 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "camber" for ibody=3
iface=   1, ipnt=  65 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.93847941    0.01401124   -4.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.21860490,  fd=   0.22843897,  err=  -0.00983407 (at    0.93847941    0.01401124   -4.00000000)
iface=   1, ipnt=  66 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246854 (at    0.87656797    0.02617967   -4.00000000)
iface=   1, ipnt=  66 (Y): anal=   0.41571326,  fd=   0.42934521,  err=  -0.01363195 (at    0.87656797    0.02617967   -4.00000000)
iface=   1, ipnt=  67 (X): anal=   0.08846384,  fd=   0.09046505,  err=  -0.00200121 (at    0.81432086    0.03649445   -4.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.58817030,  fd=   0.60147574,  err=  -0.01330544 (at    0.81432086    0.03649445   -4.00000000)
iface=   1, ipnt=  68 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.75179357    0.04494639   -4.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.73321216,  fd=   0.74377043,  err=  -0.01055827 (at    0.75179357    0.04494639   -4.00000000)
iface=   1, ipnt=  69 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.68904183    0.05152794   -4.00000000)
iface=   1, ipnt=  69 (Y): anal=   0.84851187,  fd=   0.85535614,  err=  -0.00684427 (at    0.68904183    0.05152794   -4.00000000)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.06152059   -0.01401124   -4.00000000)
iface=   2, ipnt=  65 (Y): anal=   0.21860490,  fd=   0.22843894,  err=  -0.00983404 (at    0.06152059   -0.01401124   -4.00000000)
iface=   2, ipnt=  66 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246853 (at    0.12343203   -0.02617967   -4.00000000)
iface=   2, ipnt=  66 (Y): anal=   0.41571326,  fd=   0.42934517,  err=  -0.01363191 (at    0.12343203   -0.02617967   -4.00000000)
iface=   2, ipnt=  67 (X): anal=   0.08846384,  fd=   0.09046504,  err=  -0.00200120 (at    0.18567914   -0.03649445   -4.00000000)
iface=   2, ipnt=  67 (Y): anal=   0.58817030,  fd=   0.60147570,  err=  -0.01330540 (at    0.18567914   -0.03649445   -4.00000000)
iface=   2, ipnt=  68 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.24820643   -0.04494639   -4.00000000)
iface=   2, ipnt=  68 (Y): anal=   0.73321216,  fd=   0.74377040,  err=  -0.01055824 (at    0.24820643   -0.04494639   -4.00000000)
iface=   2, ipnt=  69 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.31095817   -0.05152794   -4.00000000)
iface=   2, ipnt=  69 (Y): anal=   0.84851187,  fd=   0.85535612,  err=  -0.00684426 (at    0.31095817   -0.05152794   -4.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     3380 total errors (errmax=  1.3632e-02)
iedge=   3, ipnt=   1 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.93847941    0.01401124    0.00000000)
iedge=   3, ipnt=   1 (Y): anal=   0.21860490,  fd=   0.22843897,  err=  -0.00983407 (at    0.93847941    0.01401124    0.00000000)
iedge=   3, ipnt=   2 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246854 (at    0.87656797    0.02617967    0.00000000)
iedge=   3, ipnt=   2 (Y): anal=   0.41571326,  fd=   0.42934521,  err=  -0.01363195 (at    0.87656797    0.02617967    0.00000000)
iedge=   3, ipnt=   3 (X): anal=   0.08846384,  fd=   0.09046505,  err=  -0.00200121 (at    0.81432086    0.03649445    0.00000000)
iedge=   3, ipnt=   3 (Y): anal=   0.58817030,  fd=   0.60147574,  err=  -0.01330544 (at    0.81432086    0.03649445    0.00000000)
iedge=   3, ipnt=   4 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.75179357    0.04494639    0.00000000)
iedge=   3, ipnt=   4 (Y): anal=   0.73321216,  fd=   0.74377043,  err=  -0.01055827 (at    0.75179357    0.04494639    0.00000000)
iedge=   3, ipnt=   5 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.68904183    0.05152794    0.00000000)
iedge=   3, ipnt=   5 (Y): anal=   0.84851187,  fd=   0.85535614,  err=  -0.00684427 (at    0.68904183    0.05152794    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.93847941    0.01401124   -4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.21860490,  fd=   0.22843897,  err=  -0.00983407 (at    0.93847941    0.01401124   -4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246854 (at    0.87656797    0.02617967   -4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.41571326,  fd=   0.42934521,  err=  -0.01363195 (at    0.87656797    0.02617967   -4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.08846384,  fd=   0.09046505,  err=  -0.00200121 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.58817030,  fd=   0.60147574,  err=  -0.01330544 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.75179357    0.04494639   -4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.73321216,  fd=   0.74377043,  err=  -0.01055827 (at    0.75179357    0.04494639   -4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.68904183    0.05152794   -4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.84851187,  fd=   0.85535614,  err=  -0.00684427 (at    0.68904183    0.05152794   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.06152059   -0.01401124    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=   0.21860490,  fd=   0.22843894,  err=  -0.00983404 (at    0.06152059   -0.01401124    0.00000000)
iedge=   5, ipnt=   2 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246853 (at    0.12343203   -0.02617967    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=   0.41571326,  fd=   0.42934517,  err=  -0.01363191 (at    0.12343203   -0.02617967    0.00000000)
iedge=   5, ipnt=   3 (X): anal=   0.08846384,  fd=   0.09046504,  err=  -0.00200120 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=   0.58817030,  fd=   0.60147570,  err=  -0.01330540 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.24820643   -0.04494639    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=   0.73321216,  fd=   0.74377040,  err=  -0.01055824 (at    0.24820643   -0.04494639    0.00000000)
iedge=   5, ipnt=   5 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.31095817   -0.05152794    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=   0.84851187,  fd=   0.85535612,  err=  -0.00684426 (at    0.31095817   -0.05152794    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=   0.04636564,  fd=   0.04845142,  err=  -0.00208578 (at    0.06152059   -0.01401124   -4.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.21860490,  fd=   0.22843894,  err=  -0.00983404 (at    0.06152059   -0.01401124   -4.00000000)
iedge=   6, ipnt=   2 (X): anal=   0.07527931,  fd=   0.07774784,  err=  -0.00246853 (at    0.12343203   -0.02617967   -4.00000000)
iedge=   6, ipnt=   2 (Y): anal=   0.41571326,  fd=   0.42934517,  err=  -0.01363191 (at    0.12343203   -0.02617967   -4.00000000)
iedge=   6, ipnt=   3 (X): anal=   0.08846384,  fd=   0.09046504,  err=  -0.00200120 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.58817030,  fd=   0.60147570,  err=  -0.01330540 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.08798546,  fd=   0.08925245,  err=  -0.00126699 (at    0.24820643   -0.04494639   -4.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.73321216,  fd=   0.74377040,  err=  -0.01055824 (at    0.24820643   -0.04494639   -4.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.07620656,  fd=   0.07682126,  err=  -0.00061470 (at    0.31095817   -0.05152794   -4.00000000)
iedge=   6, ipnt=   5 (Y): anal=   0.84851187,  fd=   0.85535612,  err=  -0.00684426 (at    0.31095817   -0.05152794   -4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      104 total errors (errmax=  1.3632e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "croot" for ibody=3
    d(Face)/d(croot) check complete with        0 total errors (errmax=  5.7372e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  4.9585e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aspect" for ibody=3
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  4.1605e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.223 sec

Sensitivity checks complete with     7370 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
iface=   1, ipnt=  65: anal=   0.93850364    0.01401124   -4.00000000, ptrb=   0.93852700    0.01412045   -4.00000000, dist=   0.00011168 (at    0.93847941    0.01401124   -4.00000000)
iface=   1, ipnt=  66: anal=   0.87660684    0.02617967   -4.00000000, ptrb=   0.87664478    0.02638740   -4.00000000, dist=   0.00021117 (at    0.87656797    0.02617967   -4.00000000)
iface=   1, ipnt=  67: anal=   0.81436609    0.03649445   -4.00000000, ptrb=   0.81441068    0.03678841   -4.00000000, dist=   0.00029732 (at    0.81432086    0.03649445   -4.00000000)
iface=   1, ipnt=  68: anal=   0.75183819    0.04494639   -4.00000000, ptrb=   0.75188255    0.04531289   -4.00000000, dist=   0.00036918 (at    0.75179357    0.04494639   -4.00000000)
iface=   1, ipnt=  69: anal=   0.68908024    0.05152794   -4.00000000, ptrb=   0.68911866    0.05195213   -4.00000000, dist=   0.00042593 (at    0.68904183    0.05152794   -4.00000000)
iface=   1, ipnt=  70: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669932   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  71: anal=   0.56310360    0.05905810   -4.00000000, ptrb=   0.56311840    0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891    0.05905810   -4.00000000)
iface=   1, ipnt=  72: anal=   0.50000000    0.06000000   -4.00000000, ptrb=   0.50000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.50000000    0.06000000   -4.00000000)
iface=   1, ipnt=  73: anal=   0.43689640    0.05905810   -4.00000000, ptrb=   0.43688160    0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109    0.05905810   -4.00000000)
iface=   1, ipnt=  74: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669932   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
...too many errors to list
iface=   2, ipnt=  65: anal=   0.06149636   -0.01401124   -4.00000000, ptrb=   0.06147300   -0.01412045   -4.00000000, dist=   0.00011168 (at    0.06152059   -0.01401124   -4.00000000)
iface=   2, ipnt=  66: anal=   0.12339316   -0.02617967   -4.00000000, ptrb=   0.12335522   -0.02638740   -4.00000000, dist=   0.00021117 (at    0.12343203   -0.02617967   -4.00000000)
iface=   2, ipnt=  67: anal=   0.18563391   -0.03649445   -4.00000000, ptrb=   0.18558932   -0.03678841   -4.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445   -4.00000000)
iface=   2, ipnt=  68: anal=   0.24816181   -0.04494639   -4.00000000, ptrb=   0.24811745   -0.04531289   -4.00000000, dist=   0.00036918 (at    0.24820643   -0.04494639   -4.00000000)
iface=   2, ipnt=  69: anal=   0.31091976   -0.05152794   -4.00000000, ptrb=   0.31088134   -0.05195213   -4.00000000, dist=   0.00042593 (at    0.31095817   -0.05152794   -4.00000000)
iface=   2, ipnt=  70: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669932   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iface=   2, ipnt=  71: anal=   0.43689640   -0.05905810   -4.00000000, ptrb=   0.43688160   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109   -0.05905810   -4.00000000)
iface=   2, ipnt=  72: anal=   0.50000000   -0.06000000   -4.00000000, ptrb=   0.50000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.06000000   -4.00000000)
iface=   2, ipnt=  73: anal=   0.56310360   -0.05905810   -4.00000000, ptrb=   0.56311840   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891   -0.05905810   -4.00000000)
iface=   2, ipnt=  74: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669932   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1950 total errors (errmax=  5.0000e-04)
iedge=   3, ipnt=   1: anal=   0.93850364    0.01401124    0.00000000, ptrb=   0.93852700    0.01412045    0.00000000, dist=   0.00011168 (at    0.93847941    0.01401124    0.00000000)
iedge=   3, ipnt=   2: anal=   0.87660684    0.02617967    0.00000000, ptrb=   0.87664478    0.02638740    0.00000000, dist=   0.00021117 (at    0.87656797    0.02617967    0.00000000)
iedge=   3, ipnt=   3: anal=   0.81436609    0.03649445    0.00000000, ptrb=   0.81441068    0.03678841    0.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    0.00000000)
iedge=   3, ipnt=   4: anal=   0.75183819    0.04494639    0.00000000, ptrb=   0.75188255    0.04531289    0.00000000, dist=   0.00036918 (at    0.75179357    0.04494639    0.00000000)
iedge=   3, ipnt=   5: anal=   0.68908024    0.05152794    0.00000000, ptrb=   0.68911866    0.05195213    0.00000000, dist=   0.00042593 (at    0.68904183    0.05152794    0.00000000)
iedge=   3, ipnt=   6: anal=   0.62614955    0.05623324    0.00000000, ptrb=   0.62617765    0.05669932    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   3, ipnt=   7: anal=   0.56310360    0.05905810    0.00000000, ptrb=   0.56311840    0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891    0.05905810    0.00000000)
iedge=   3, ipnt=   8: anal=   0.50000000    0.06000000    0.00000000, ptrb=   0.50000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.50000000    0.06000000    0.00000000)
iedge=   3, ipnt=   9: anal=   0.43689640    0.05905810    0.00000000, ptrb=   0.43688160    0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109    0.05905810    0.00000000)
iedge=   3, ipnt=  10: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669932    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1: anal=   0.93850364    0.01401124   -4.00000000, ptrb=   0.93852700    0.01412045   -4.00000000, dist=   0.00011168 (at    0.93847941    0.01401124   -4.00000000)
iedge=   4, ipnt=   2: anal=   0.87660684    0.02617967   -4.00000000, ptrb=   0.87664478    0.02638740   -4.00000000, dist=   0.00021117 (at    0.87656797    0.02617967   -4.00000000)
iedge=   4, ipnt=   3: anal=   0.81436609    0.03649445   -4.00000000, ptrb=   0.81441068    0.03678841   -4.00000000, dist=   0.00029732 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4: anal=   0.75183819    0.04494639   -4.00000000, ptrb=   0.75188255    0.04531289   -4.00000000, dist=   0.00036918 (at    0.75179357    0.04494639   -4.00000000)
iedge=   4, ipnt=   5: anal=   0.68908024    0.05152794   -4.00000000, ptrb=   0.68911866    0.05195213   -4.00000000, dist=   0.00042593 (at    0.68904183    0.05152794   -4.00000000)
iedge=   4, ipnt=   6: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669932   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iedge=   4, ipnt=   7: anal=   0.56310360    0.05905810   -4.00000000, ptrb=   0.56311840    0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891    0.05905810   -4.00000000)
iedge=   4, ipnt=   8: anal=   0.50000000    0.06000000   -4.00000000, ptrb=   0.50000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.50000000    0.06000000   -4.00000000)
iedge=   4, ipnt=   9: anal=   0.43689640    0.05905810   -4.00000000, ptrb=   0.43688160    0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109    0.05905810   -4.00000000)
iedge=   4, ipnt=  10: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669932   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1: anal=   0.06149636   -0.01401124    0.00000000, ptrb=   0.06147300   -0.01412045    0.00000000, dist=   0.00011168 (at    0.06152059   -0.01401124    0.00000000)
iedge=   5, ipnt=   2: anal=   0.12339316   -0.02617967    0.00000000, ptrb=   0.12335522   -0.02638740    0.00000000, dist=   0.00021117 (at    0.12343203   -0.02617967    0.00000000)
iedge=   5, ipnt=   3: anal=   0.18563391   -0.03649445    0.00000000, ptrb=   0.18558932   -0.03678841    0.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4: anal=   0.24816181   -0.04494639    0.00000000, ptrb=   0.24811745   -0.04531289    0.00000000, dist=   0.00036918 (at    0.24820643   -0.04494639    0.00000000)
iedge=   5, ipnt=   5: anal=   0.31091976   -0.05152794    0.00000000, ptrb=   0.31088134   -0.05195213    0.00000000, dist=   0.00042593 (at    0.31095817   -0.05152794    0.00000000)
iedge=   5, ipnt=   6: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669932    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=   5, ipnt=   7: anal=   0.43689640   -0.05905810    0.00000000, ptrb=   0.43688160   -0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109   -0.05905810    0.00000000)
iedge=   5, ipnt=   8: anal=   0.50000000   -0.06000000    0.00000000, ptrb=   0.50000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.50000000   -0.06000000    0.00000000)
iedge=   5, ipnt=   9: anal=   0.56310360   -0.05905810    0.00000000, ptrb=   0.56311840   -0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891   -0.05905810    0.00000000)
iedge=   5, ipnt=  10: anal=   0.62614955   -0.05623324    0.00000000, ptrb=   0.62617765   -0.05669932    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1: anal=   0.06149636   -0.01401124   -4.00000000, ptrb=   0.06147300   -0.01412045   -4.00000000, dist=   0.00011168 (at    0.06152059   -0.01401124   -4.00000000)
iedge=   6, ipnt=   2: anal=   0.12339316   -0.02617967   -4.00000000, ptrb=   0.12335522   -0.02638740   -4.00000000, dist=   0.00021117 (at    0.12343203   -0.02617967   -4.00000000)
iedge=   6, ipnt=   3: anal=   0.18563391   -0.03649445   -4.00000000, ptrb=   0.18558932   -0.03678841   -4.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4: anal=   0.24816181   -0.04494639   -4.00000000, ptrb=   0.24811745   -0.04531289   -4.00000000, dist=   0.00036918 (at    0.24820643   -0.04494639   -4.00000000)
iedge=   6, ipnt=   5: anal=   0.31091976   -0.05152794   -4.00000000, ptrb=   0.31088134   -0.05195213   -4.00000000, dist=   0.00042593 (at    0.31095817   -0.05152794   -4.00000000)
iedge=   6, ipnt=   6: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669932   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   6, ipnt=   7: anal=   0.43689640   -0.05905810   -4.00000000, ptrb=   0.43688160   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109   -0.05905810   -4.00000000)
iedge=   6, ipnt=   8: anal=   0.50000000   -0.06000000   -4.00000000, ptrb=   0.50000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.06000000   -4.00000000)
iedge=   6, ipnt=   9: anal=   0.56310360   -0.05905810   -4.00000000, ptrb=   0.56311840   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891   -0.05905810   -4.00000000)
iedge=   6, ipnt=  10: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669932   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with       60 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.4022e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.4022e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(croot) check complete with        0 total errors (errmax=  6.6613e-16)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  6.6609e-16)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  5.0415e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  7.7716e-16)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  7.7716e-16)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.232 sec

Sensitivity checks complete with     2010 total errors (max tessel err=  5.0000e-04) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "thickness" for ibody=3
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  6.4953e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  6.4126e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "camber" for ibody=3
iface=   1, ipnt= 425 (Y): anal=   0.99856746,  fd=   0.99838162,  err=   0.00018583 (at    0.39755254    0.05812036   -0.17968750)
iface=   1, ipnt= 572 (Y): anal=   0.99856746,  fd=   0.99838162,  err=   0.00018583 (at    0.39755254    0.05812036   -2.76025391)
iface=   1, ipnt= 659 (Y): anal=   0.99856746,  fd=   0.99838162,  err=   0.00018583 (at    0.39755254    0.05812036   -3.92578125)
iface=   2, ipnt= 425 (Y): anal=   0.99856746,  fd=   0.99838164,  err=   0.00018582 (at    0.39755254   -0.05812036   -3.82031250)
iface=   2, ipnt= 572 (Y): anal=   0.99856746,  fd=   0.99838164,  err=   0.00018582 (at    0.39755254   -0.05812036   -1.23974609)
iface=   2, ipnt= 659 (Y): anal=   0.99856746,  fd=   0.99838164,  err=   0.00018582 (at    0.39755254   -0.05812036   -0.07421875)
    d(Face)/d(camber) check complete with        6 total errors (errmax=  1.8583e-04)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  5.4288e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "croot" for ibody=3
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "aspect" for ibody=3
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.189 sec

Sensitivity checks complete with        6 tnotal errors (max config err=  1.8583e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  7.1620e-08)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  7.0167e-08)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  2.1684e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.3862e-07)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  3.2435e-07)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.6730e-09)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-12)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.6643e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.6643e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.660 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.3862e-07) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "thickness" for ibody=11
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.8256e-11)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4378e-11)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "camber" for ibody=11
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.0817e-11)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "croot" for ibody=11
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "aspect" for ibody=11
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "taper" for ibody=11
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "twist" for ibody=11
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1132e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "lesweep" for ibody=11
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dihedral" for ibody=11
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.0387e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.5142e-12)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.380 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   1, ipnt=  16: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   1, ipnt=  80: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  96: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   3, ipnt=   0: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   3, ipnt=  16: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   3, ipnt=  80: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -4.00000000)
iface=   3, ipnt=  96: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -4.00000000)
    d(Face)/d(thickness) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.5776e-16)
inode=   1:            anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    0.00000000)
inode=   2:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000   -4.00000000)
inode=   3:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    0.00000000)
inode=   4:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000   -4.00000000)
inode=   5:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    0.00000000)
inode=   6:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000   -4.00000000)
inode=   7:            anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    0.00000000)
inode=   8:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000   -4.00000000)
    d(Node)/d(thickness) check complete with        8 total errors (errmax=  5.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.2377e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   2, ipnt=   0: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000   -0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=   2: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000   -0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   2, ipnt=  66: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000   -4.00000000)
iface=   2, ipnt=  68: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  16: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  18: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   6, ipnt=  34: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.1551e-16)
inode=   2:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000   -4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000   -0.06006000    0.00000000)
inode=   4:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000   -4.00400000)
inode=   5:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000    0.06006000    0.00000000)
inode=   6:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000   -4.00400000)
inode=   8:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000   -4.00400000)
    d(Node)/d(croot) check complete with        6 total errors (errmax=  4.1235e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   6, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  16: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  18: anal=   0.00000000    0.06000000   -4.00000000, ptrb=  -0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   6, ipnt=  34: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.9509e-16)
inode=   2:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00400000)
inode=   6:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00400000)
inode=   8:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00400000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   2, ipnt=  66: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00099950    0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000   -4.00000000)
iface=   2, ipnt=  68: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00099950   -0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  16: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   6, ipnt=  18: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -4.00000000)
iface=   6, ipnt=  34: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -4.00000000)
    d(Face)/d(taper) check complete with        6 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  5.0065e-07)
inode=   2:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000   -4.00200000)
inode=   4:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000   -4.00200000)
inode=   6:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000   -4.00200000)
inode=   8:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000   -4.00200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.2369e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.428 sec

Sensitivity checks complete with       48 total errors (max tessel err=  4.1235e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "thickness" for ibody=9
iface=   1, ipnt=   1 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=   2 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=   3 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=   5 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=   5 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=   1 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=   2 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=   2 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=   3 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=   3 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=   5 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=   5 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     3770 total errors (errmax=  5.0000e-01)
iedge=   2, ipnt=   1 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123   -4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123   -4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792   -4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123   -4.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123   -4.00000000)
iedge=   6, ipnt=   2 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792   -4.00000000)
iedge=   6, ipnt=   5 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792   -4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      116 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "camber" for ibody=9
iface=   1, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     3380 total errors (errmax=  1.3511e-02)
iedge=   2, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123   -4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123   -4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792   -4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123   -4.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123   -4.00000000)
iedge=   6, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   6, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   6, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792   -4.00000000)
iedge=   6, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792   -4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      104 total errors (errmax=  1.3511e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2188e-15)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "croot" for ibody=9
    d(Face)/d(croot) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "aspect" for ibody=9
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "taper" for ibody=9
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "twist" for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0574e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.0574e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "lesweep" for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9104e-11)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "dihedral" for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.2043e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.3878e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.536 sec

Sensitivity checks complete with     7370 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   1: anal=   0.93850363    0.01401120    0.00000000, ptrb=   0.93852700    0.01412044   -0.00000000, dist=   0.00011171 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=   2: anal=   0.87660684    0.02617966    0.00000000, ptrb=   0.87664478    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=   3: anal=   0.81436609    0.03649445    0.00000000, ptrb=   0.81441068    0.03678841   -0.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=   4: anal=   0.75183819    0.04494637   -0.00000000, ptrb=   0.75188255    0.04531288   -0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=   5: anal=   0.68908024    0.05152792   -0.00000000, ptrb=   0.68911866    0.05195211    0.00000000, dist=   0.00042593 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=   6: anal=   0.62614955    0.05623324    0.00000000, ptrb=   0.62617765    0.05669931   -0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iface=   1, ipnt=   7: anal=   0.56310360    0.05905809    0.00000000, ptrb=   0.56311840    0.05954958   -0.00000000, dist=   0.00049171 (at    0.56308891    0.05905809    0.00000000)
iface=   1, ipnt=   8: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iface=   1, ipnt=   9: anal=   0.43689640    0.05905809   -0.00000000, ptrb=   0.43688160    0.05954958   -0.00000000, dist=   0.00049171 (at    0.43691109    0.05905809    0.00000000)
iface=   1, ipnt=  10: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931   -0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iface=   2, ipnt=   1: anal=   0.06149649   -0.01401123   -0.00000000, ptrb=   0.06147312   -0.01412046   -0.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=   2: anal=   0.12339311   -0.02617966    0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=   3: anal=   0.18563391   -0.03649445    0.00000000, ptrb=   0.18558932   -0.03678841   -0.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=   4: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288   -0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=   5: anal=   0.31091976   -0.05152792   -0.00000000, ptrb=   0.31088134   -0.05195211    0.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=   6: anal=   0.37385045   -0.05623324   -0.00000000, ptrb=   0.37382235   -0.05669931   -0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iface=   2, ipnt=   7: anal=   0.43689640   -0.05905809    0.00000000, ptrb=   0.43688160   -0.05954958   -0.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809    0.00000000)
iface=   2, ipnt=   8: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iface=   2, ipnt=   9: anal=   0.56310360   -0.05905809    0.00000000, ptrb=   0.56311840   -0.05954958   -0.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809    0.00000000)
iface=   2, ipnt=  10: anal=   0.62614955   -0.05623324    0.00000000, ptrb=   0.62617765   -0.05669931   -0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1950 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   0.93850363    0.01401120    0.00000000, ptrb=   0.93852700    0.01412044    0.00000000, dist=   0.00011171 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2: anal=   0.87660684    0.02617966    0.00000000, ptrb=   0.87664478    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3: anal=   0.81436609    0.03649445    0.00000000, ptrb=   0.81441068    0.03678841    0.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4: anal=   0.75183819    0.04494637    0.00000000, ptrb=   0.75188255    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5: anal=   0.68908024    0.05152792    0.00000000, ptrb=   0.68911866    0.05195211    0.00000000, dist=   0.00042593 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   6: anal=   0.62614955    0.05623324    0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   2, ipnt=   7: anal=   0.56310360    0.05905809    0.00000000, ptrb=   0.56311840    0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891    0.05905809    0.00000000)
iedge=   2, ipnt=   8: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iedge=   2, ipnt=   9: anal=   0.43689640    0.05905809    0.00000000, ptrb=   0.43688160    0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109    0.05905809    0.00000000)
iedge=   2, ipnt=  10: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1: anal=   0.93850351    0.01401123   -4.00000000, ptrb=   0.93852688    0.01412046   -4.00000000, dist=   0.00011171 (at    0.93847941    0.01401123   -4.00000000)
iedge=   4, ipnt=   2: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iedge=   4, ipnt=   3: anal=   0.81436609    0.03649445   -4.00000000, ptrb=   0.81441068    0.03678841   -4.00000000, dist=   0.00029732 (at    0.81432086    0.03649445   -4.00000000)
iedge=   4, ipnt=   4: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iedge=   4, ipnt=   5: anal=   0.68908024    0.05152792   -4.00000000, ptrb=   0.68911866    0.05195211   -4.00000000, dist=   0.00042593 (at    0.68904183    0.05152792   -4.00000000)
iedge=   4, ipnt=   6: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iedge=   4, ipnt=   7: anal=   0.56310360    0.05905809   -4.00000000, ptrb=   0.56311840    0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891    0.05905809   -4.00000000)
iedge=   4, ipnt=   8: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iedge=   4, ipnt=   9: anal=   0.43689640    0.05905809   -4.00000000, ptrb=   0.43688160    0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109    0.05905809   -4.00000000)
iedge=   4, ipnt=  10: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
...too many errors to list
iedge=   5, ipnt=   1: anal=   0.06149649   -0.01401123    0.00000000, ptrb=   0.06147312   -0.01412046    0.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2: anal=   0.12339311   -0.02617966    0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3: anal=   0.18563391   -0.03649445    0.00000000, ptrb=   0.18558932   -0.03678841    0.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4: anal=   0.24816182   -0.04494637    0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5: anal=   0.31091976   -0.05152792    0.00000000, ptrb=   0.31088134   -0.05195211    0.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   6: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=   5, ipnt=   7: anal=   0.43689640   -0.05905809    0.00000000, ptrb=   0.43688160   -0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809    0.00000000)
iedge=   5, ipnt=   8: anal=   0.50000000   -0.05999998    0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iedge=   5, ipnt=   9: anal=   0.56310360   -0.05905809    0.00000000, ptrb=   0.56311840   -0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809    0.00000000)
iedge=   5, ipnt=  10: anal=   0.62614955   -0.05623324    0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1: anal=   0.06149649   -0.01401123   -4.00000000, ptrb=   0.06147312   -0.01412046   -4.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123   -4.00000000)
iedge=   6, ipnt=   2: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   6, ipnt=   3: anal=   0.18563391   -0.03649445   -4.00000000, ptrb=   0.18558932   -0.03678841   -4.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445   -4.00000000)
iedge=   6, ipnt=   4: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   6, ipnt=   5: anal=   0.31091976   -0.05152792   -4.00000000, ptrb=   0.31088134   -0.05195211   -4.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792   -4.00000000)
iedge=   6, ipnt=   6: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   6, ipnt=   7: anal=   0.43689640   -0.05905809   -4.00000000, ptrb=   0.43688160   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809   -4.00000000)
iedge=   6, ipnt=   8: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iedge=   6, ipnt=   9: anal=   0.56310360   -0.05905809   -4.00000000, ptrb=   0.56311840   -0.05954958   -4.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809   -4.00000000)
iedge=   6, ipnt=  10: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with       60 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968   -0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   1, ipnt=  96: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582    0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=  16: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968   -0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  80: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582   -0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
    d(Face)/d(croot) check complete with        6 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.2316e-07)
inode=   1:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=   2:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
    d(Node)/d(croot) check complete with        3 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   4, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
    d(Face)/d(aspect) check complete with        2 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.9509e-16)
inode=   2:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
    d(Node)/d(aspect) check complete with        2 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=  96: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579    0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=  80: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579   -0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -4.00000000)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   2:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000   -4.00200000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
    d(Node)/d(taper) check complete with        2 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1295e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.7831e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.6517e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.594 sec

Sensitivity checks complete with     2029 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "thickness" for ibody=9
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9008e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8958e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "camber" for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "croot" for ibody=9
    d(Face)/d(croot) check complete with        0 total errors (errmax=  1.7514e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "aspect" for ibody=9
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.4022e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.4022e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "taper" for ibody=9
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.7514e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "twist" for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5122e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "lesweep" for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "dihedral" for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  4.3979e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.6360e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.694 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.9008e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD1c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4584e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.1583e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876   -0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   1, ipnt= 296: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001945    0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=  20: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876   -0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   2, ipnt=  84: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001945   -0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000   -4.00000000)
iface=   3, ipnt=   0: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   3, ipnt=   1: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   3, ipnt=  65: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000   -4.00000000)
iface=   3, ipnt=  66: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=  20: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  21: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
    d(Face)/d(croot) check complete with       11 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  6.4451e-08)
inode=   1:            anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000    0.00126126    0.00000000)
inode=   2:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000   -0.00126126    0.00000000)
inode=   6:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126   -4.00400000)
    d(Node)/d(croot) check complete with        5 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=  -0.00000000   -0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=  20: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  21: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
    d(Face)/d(aspect) check complete with        3 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.7764e-15)
inode=   2:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   6:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00400000)
    d(Node)/d(aspect) check complete with        3 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt= 296: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001944    0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=  84: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001944   -0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000   -4.00000000)
iface=   3, ipnt=  65: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00099950    0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000   -4.00000000)
iface=   3, ipnt=  66: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00099950   -0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=  20: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  21: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -4.00000000)
    d(Face)/d(taper) check complete with        7 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   2:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126   -4.00200000)
inode=   4:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   6:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126   -4.00200000)
    d(Node)/d(taper) check complete with        3 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9114e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.141 sec

Sensitivity checks complete with       32 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "thickness" for ibody=11
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.8256e-11)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4378e-11)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "camber" for ibody=11
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.0817e-11)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "croot" for ibody=11
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "aspect" for ibody=11
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "taper" for ibody=11
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "twist" for ibody=11
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1132e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "lesweep" for ibody=11
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11

Comparing configuration sensitivities wrt "dihedral" for ibody=11
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.1426e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.5142e-12)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.394 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    4.00000000)
iface=   1, ipnt=  64: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   1, ipnt=  80: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   1, ipnt= 144: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    4.00000000)
iface=   3, ipnt=   0: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    4.00000000)
iface=   3, ipnt=  64: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   3, ipnt=  80: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   3, ipnt= 144: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    4.00000000)
    d(Face)/d(thickness) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.5776e-16)
inode=   1:            anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    0.00000000)
inode=   2:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    4.00000000)
inode=   3:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    0.00000000)
inode=   4:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    4.00000000)
inode=   5:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    0.00000000)
inode=   6:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    4.00000000)
inode=   7:            anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    0.00000000)
inode=   8:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    4.00000000)
    d(Node)/d(thickness) check complete with        8 total errors (errmax=  5.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(camber) check complete with        0 total errors (errmax=  2.2377e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   2, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    4.00000000)
iface=   2, ipnt=  64: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  66: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   2, ipnt= 130: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=   6, ipnt=   2: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  18: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  20: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.1551e-16)
inode=   2:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000    4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000   -0.06006000    0.00000000)
inode=   4:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000    4.00400000)
inode=   5:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000    0.06006000    0.00000000)
inode=   6:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000    4.00400000)
inode=   8:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000    4.00400000)
    d(Node)/d(croot) check complete with        6 total errors (errmax=  4.1235e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   6, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=   6, ipnt=   2: anal=   0.00000000    0.06000000    4.00000000, ptrb=  -0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  18: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  20: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.9509e-16)
inode=   2:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00400000)
inode=   6:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00400000)
inode=   8:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00400000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
iface=   2, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00099950   -0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000    4.00000000)
iface=   2, ipnt= 130: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00099950    0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    4.00000000)
iface=   6, ipnt=   2: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  18: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  20: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(taper) check complete with        6 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  5.0065e-07)
inode=   2:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000    4.00200000)
inode=   4:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000    4.00200000)
inode=   6:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000    4.00200000)
inode=   8:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000    4.00200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.2369e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=11
Computing distances of perturbed points from perturbed configuration for ibody=11
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.477 sec

Sensitivity checks complete with       48 total errors (max tessel err=  4.1235e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "thickness" for ibody=9
iface=   1, ipnt=  65 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=  66 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=  66 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=  67 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=  68 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=  69 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=  69 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=  65 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=  66 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=  66 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=  67 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=  67 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=  68 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=  68 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=  69 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=  69 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     3770 total errors (errmax=  5.0000e-01)
iedge=   2, ipnt=   1 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00100050,  fd=   0.04523241,  err=  -0.04423192 (at    0.81432086    0.03649445    4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00665202,  fd=   0.30073786,  err=  -0.29408584 (at    0.81432086    0.03649445    4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.00030737,  fd=   0.03841050,  err=  -0.03810312 (at    0.68904183    0.05152792    4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00342243,  fd=   0.42767761,  err=  -0.42425518 (at    0.68904183    0.05152792    4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    4.00000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    4.00000000)
iedge=   6, ipnt=   2 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    4.00000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    4.00000000)
iedge=   6, ipnt=   3 (X): anal=  -0.00100050,  fd=  -0.04523241,  err=   0.04423192 (at    0.18567914   -0.03649445    4.00000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00665202,  fd=  -0.30073786,  err=   0.29408584 (at    0.18567914   -0.03649445    4.00000000)
iedge=   6, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    4.00000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    4.00000000)
iedge=   6, ipnt=   5 (X): anal=  -0.00030737,  fd=  -0.03841050,  err=   0.03810312 (at    0.31095817   -0.05152792    4.00000000)
iedge=   6, ipnt=   5 (Y): anal=  -0.00342243,  fd=  -0.42767761,  err=   0.42425518 (at    0.31095817   -0.05152792    4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      116 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "camber" for ibody=9
iface=   1, ipnt=  65 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=  65 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=  66 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=  66 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=  67 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=  67 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=  68 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=  68 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=  69 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=  69 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=  65 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=  66 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=  66 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=  67 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=  67 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=  68 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=  68 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=  69 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=  69 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     3380 total errors (errmax=  1.3511e-02)
iedge=   2, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    4.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    4.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    4.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    4.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200285 (at    0.81432086    0.03649445    4.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147573,  err=  -0.01331637 (at    0.81432086    0.03649445    4.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    4.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    4.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.68904183    0.05152792    4.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535522,  err=  -0.00683661 (at    0.68904183    0.05152792    4.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    4.00000000)
iedge=   6, ipnt=   1 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    4.00000000)
iedge=   6, ipnt=   2 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    4.00000000)
iedge=   6, ipnt=   2 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    4.00000000)
iedge=   6, ipnt=   3 (X): anal=   0.08846199,  fd=   0.09046483,  err=  -0.00200284 (at    0.18567914   -0.03649445    4.00000000)
iedge=   6, ipnt=   3 (Y): anal=   0.58815936,  fd=   0.60147569,  err=  -0.01331633 (at    0.18567914   -0.03649445    4.00000000)
iedge=   6, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    4.00000000)
iedge=   6, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    4.00000000)
iedge=   6, ipnt=   5 (X): anal=   0.07620699,  fd=   0.07682099,  err=  -0.00061401 (at    0.31095817   -0.05152792    4.00000000)
iedge=   6, ipnt=   5 (Y): anal=   0.84851861,  fd=   0.85535520,  err=  -0.00683659 (at    0.31095817   -0.05152792    4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      104 total errors (errmax=  1.3511e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2188e-15)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "croot" for ibody=9
    d(Face)/d(croot) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "aspect" for ibody=9
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "taper" for ibody=9
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.0797e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "twist" for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.0574e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.0574e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "lesweep" for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.7512e-11)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "dihedral" for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9089e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.3878e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.542 sec

Sensitivity checks complete with     7370 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=  65: anal=   0.93850351    0.01401123   -0.00000000, ptrb=   0.93852688    0.01412046    0.00000000, dist=   0.00011171 (at    0.93847941    0.01401123    0.00000000)
iface=   1, ipnt=  66: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iface=   1, ipnt=  67: anal=   0.81436609    0.03649445    0.00000000, ptrb=   0.81441068    0.03678841    0.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    0.00000000)
iface=   1, ipnt=  68: anal=   0.75183818    0.04494637   -0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iface=   1, ipnt=  69: anal=   0.68908024    0.05152792    0.00000000, ptrb=   0.68911866    0.05195211    0.00000000, dist=   0.00042593 (at    0.68904183    0.05152792    0.00000000)
iface=   1, ipnt=  70: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iface=   1, ipnt=  71: anal=   0.56310360    0.05905809    0.00000000, ptrb=   0.56311840    0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891    0.05905809    0.00000000)
iface=   1, ipnt=  72: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iface=   1, ipnt=  73: anal=   0.43689640    0.05905809    0.00000000, ptrb=   0.43688160    0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109    0.05905809    0.00000000)
iface=   1, ipnt=  74: anal=   0.37385045    0.05623324   -0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iface=   2, ipnt=  65: anal=   0.06149649   -0.01401123   -0.00000000, ptrb=   0.06147312   -0.01412046    0.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123    0.00000000)
iface=   2, ipnt=  66: anal=   0.12339311   -0.02617966    0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iface=   2, ipnt=  67: anal=   0.18563391   -0.03649445   -0.00000000, ptrb=   0.18558932   -0.03678841    0.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    0.00000000)
iface=   2, ipnt=  68: anal=   0.24816182   -0.04494637    0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iface=   2, ipnt=  69: anal=   0.31091976   -0.05152792    0.00000000, ptrb=   0.31088134   -0.05195211    0.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792    0.00000000)
iface=   2, ipnt=  70: anal=   0.37385045   -0.05623324   -0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iface=   2, ipnt=  71: anal=   0.43689640   -0.05905809   -0.00000000, ptrb=   0.43688160   -0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809    0.00000000)
iface=   2, ipnt=  72: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iface=   2, ipnt=  73: anal=   0.56310360   -0.05905809    0.00000000, ptrb=   0.56311840   -0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809    0.00000000)
iface=   2, ipnt=  74: anal=   0.62614955   -0.05623324    0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1950 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   0.93850351    0.01401123   -0.00000000, ptrb=   0.93852688    0.01412046    0.00000000, dist=   0.00011171 (at    0.93847941    0.01401123    0.00000000)
iedge=   2, ipnt=   2: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iedge=   2, ipnt=   3: anal=   0.81436609    0.03649445    0.00000000, ptrb=   0.81441068    0.03678841    0.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    0.00000000)
iedge=   2, ipnt=   4: anal=   0.75183818    0.04494637   -0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iedge=   2, ipnt=   5: anal=   0.68908024    0.05152792    0.00000000, ptrb=   0.68911866    0.05195211    0.00000000, dist=   0.00042593 (at    0.68904183    0.05152792    0.00000000)
iedge=   2, ipnt=   6: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   2, ipnt=   7: anal=   0.56310360    0.05905809    0.00000000, ptrb=   0.56311840    0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891    0.05905809    0.00000000)
iedge=   2, ipnt=   8: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iedge=   2, ipnt=   9: anal=   0.43689640    0.05905809    0.00000000, ptrb=   0.43688160    0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109    0.05905809    0.00000000)
iedge=   2, ipnt=  10: anal=   0.37385045    0.05623324   -0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iedge=   4, ipnt=   1: anal=   0.93850363    0.01401120    4.00000000, ptrb=   0.93852700    0.01412044    4.00000000, dist=   0.00011171 (at    0.93847941    0.01401123    4.00000000)
iedge=   4, ipnt=   2: anal=   0.87660684    0.02617966    4.00000000, ptrb=   0.87664478    0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    4.00000000)
iedge=   4, ipnt=   3: anal=   0.81436609    0.03649445    4.00000000, ptrb=   0.81441068    0.03678841    4.00000000, dist=   0.00029732 (at    0.81432086    0.03649445    4.00000000)
iedge=   4, ipnt=   4: anal=   0.75183819    0.04494637    4.00000000, ptrb=   0.75188255    0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    4.00000000)
iedge=   4, ipnt=   5: anal=   0.68908024    0.05152792    4.00000000, ptrb=   0.68911866    0.05195211    4.00000000, dist=   0.00042593 (at    0.68904183    0.05152792    4.00000000)
iedge=   4, ipnt=   6: anal=   0.62614955    0.05623324    4.00000000, ptrb=   0.62617765    0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    4.00000000)
iedge=   4, ipnt=   7: anal=   0.56310360    0.05905809    4.00000000, ptrb=   0.56311840    0.05954958    4.00000000, dist=   0.00049171 (at    0.56308891    0.05905809    4.00000000)
iedge=   4, ipnt=   8: anal=   0.50000000    0.05999998    4.00000000, ptrb=   0.50000000    0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    4.00000000)
iedge=   4, ipnt=   9: anal=   0.43689640    0.05905809    4.00000000, ptrb=   0.43688160    0.05954958    4.00000000, dist=   0.00049171 (at    0.43691109    0.05905809    4.00000000)
iedge=   4, ipnt=  10: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
...too many errors to list
iedge=   5, ipnt=   1: anal=   0.06149649   -0.01401123   -0.00000000, ptrb=   0.06147312   -0.01412046    0.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123    0.00000000)
iedge=   5, ipnt=   2: anal=   0.12339311   -0.02617966    0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iedge=   5, ipnt=   3: anal=   0.18563391   -0.03649445   -0.00000000, ptrb=   0.18558932   -0.03678841    0.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    0.00000000)
iedge=   5, ipnt=   4: anal=   0.24816182   -0.04494637    0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iedge=   5, ipnt=   5: anal=   0.31091976   -0.05152792    0.00000000, ptrb=   0.31088134   -0.05195211    0.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792    0.00000000)
iedge=   5, ipnt=   6: anal=   0.37385045   -0.05623324   -0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=   5, ipnt=   7: anal=   0.43689640   -0.05905809   -0.00000000, ptrb=   0.43688160   -0.05954958    0.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809    0.00000000)
iedge=   5, ipnt=   8: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iedge=   5, ipnt=   9: anal=   0.56310360   -0.05905809    0.00000000, ptrb=   0.56311840   -0.05954958    0.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809    0.00000000)
iedge=   5, ipnt=  10: anal=   0.62614955   -0.05623324    0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iedge=   6, ipnt=   1: anal=   0.06149649   -0.01401123    4.00000000, ptrb=   0.06147312   -0.01412046    4.00000000, dist=   0.00011171 (at    0.06152059   -0.01401123    4.00000000)
iedge=   6, ipnt=   2: anal=   0.12339311   -0.02617966    4.00000000, ptrb=   0.12335517   -0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    4.00000000)
iedge=   6, ipnt=   3: anal=   0.18563391   -0.03649445    4.00000000, ptrb=   0.18558932   -0.03678841    4.00000000, dist=   0.00029732 (at    0.18567914   -0.03649445    4.00000000)
iedge=   6, ipnt=   4: anal=   0.24816182   -0.04494637    4.00000000, ptrb=   0.24811746   -0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    4.00000000)
iedge=   6, ipnt=   5: anal=   0.31091976   -0.05152792    4.00000000, ptrb=   0.31088134   -0.05195211    4.00000000, dist=   0.00042593 (at    0.31095817   -0.05152792    4.00000000)
iedge=   6, ipnt=   6: anal=   0.37385045   -0.05623324    4.00000000, ptrb=   0.37382235   -0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    4.00000000)
iedge=   6, ipnt=   7: anal=   0.43689640   -0.05905809    4.00000000, ptrb=   0.43688160   -0.05954958    4.00000000, dist=   0.00049171 (at    0.43691109   -0.05905809    4.00000000)
iedge=   6, ipnt=   8: anal=   0.50000000   -0.05999998    4.00000000, ptrb=   0.50000000   -0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    4.00000000)
iedge=   6, ipnt=   9: anal=   0.56310360   -0.05905809    4.00000000, ptrb=   0.56311840   -0.05954958    4.00000000, dist=   0.00049171 (at    0.56308891   -0.05905809    4.00000000)
iedge=   6, ipnt=  10: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with       60 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582    0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   1, ipnt=  64: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  80: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 144: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582   -0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=  16: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(croot) check complete with        6 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.2316e-07)
inode=   1:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=   2:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000    4.00400000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(croot) check complete with        3 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   4, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=  16: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(aspect) check complete with        2 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.9509e-16)
inode=   2:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00400000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(aspect) check complete with        2 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579    0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   2, ipnt= 144: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579   -0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=  16: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   2:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000    4.00200000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
    d(Node)/d(taper) check complete with        2 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1295e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.7831e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.6517e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.582 sec

Sensitivity checks complete with     2029 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "thickness" for ibody=9
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9008e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8958e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "camber" for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "croot" for ibody=9
    d(Face)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "aspect" for ibody=9
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.4022e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.4022e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "taper" for ibody=9
    d(Face)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "twist" for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5122e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "lesweep" for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "dihedral" for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  4.5765e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.6360e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.709 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.9008e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD2c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4584e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.1583e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001945    0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    4.00000000)
iface=   1, ipnt=  64: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   2, ipnt= 276: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   2, ipnt= 340: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001945   -0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    4.00000000)
iface=   3, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    4.00000000)
iface=   3, ipnt=  64: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   3, ipnt=  65: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   3, ipnt= 129: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   5, ipnt=  20: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   5, ipnt=  40: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(croot) check complete with       11 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  6.4451e-08)
inode=   1:            anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000    0.00126126    0.00000000)
inode=   2:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126    4.00400000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   5:            anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000   -0.00126126    0.00000000)
inode=   6:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126    4.00400000)
    d(Node)/d(croot) check complete with        5 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   5, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   5, ipnt=  20: anal=   0.00000000    0.00000000    4.00000000, ptrb=  -0.00000000   -0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   5, ipnt=  40: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(aspect) check complete with        3 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.7764e-15)
inode=   2:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00400000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   6:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00400000)
    d(Node)/d(aspect) check complete with        3 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001944    0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000    4.00000000)
iface=   2, ipnt= 340: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001944   -0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000    4.00000000)
iface=   3, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00099950   -0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000    4.00000000)
iface=   3, ipnt= 129: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00099950    0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    4.00000000)
iface=   5, ipnt=  20: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
iface=   5, ipnt=  40: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(taper) check complete with        7 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   2:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126    4.00200000)
inode=   4:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
inode=   6:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126    4.00200000)
    d(Node)/d(taper) check complete with        3 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9114e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=9
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.982 sec

Sensitivity checks complete with       32 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "thickness" for ibody=18
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.8256e-11)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4378e-11)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "camber" for ibody=18
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3878e-11)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "croot" for ibody=18
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "aspect" for ibody=18
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "taper" for ibody=18
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "twist" for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1132e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "lesweep" for ibody=18
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "dihedral" for ibody=18
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.0817e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.5142e-12)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.406 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   1, ipnt=  32: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  72: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    4.00000000)
iface=   2, ipnt=  32: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  40: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  72: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   5, ipnt=  32: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  40: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  72: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  32: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   6, ipnt=  40: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   6, ipnt=  72: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    4.00000000)
    d(Face)/d(thickness) check complete with       16 total errors (errmax=  5.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.5776e-16)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000   -4.00000000)
inode=   2:            anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    0.00000000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000   -4.00000000)
inode=   4:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    0.00000000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    4.00000000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    4.00000000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000   -4.00000000)
inode=   8:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    0.00000000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    4.00000000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000   -4.00000000)
inode=  11:            anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    0.00000000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    4.00000000)
    d(Node)/d(thickness) check complete with       12 total errors (errmax=  5.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.1632e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   3, ipnt=   0: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   3, ipnt=  32: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   3, ipnt=  33: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000   -4.00000000)
iface=   3, ipnt=  65: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   4, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    4.00000000)
iface=   4, ipnt=  32: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   4, ipnt=  33: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   4, ipnt=  65: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(croot) check complete with       16 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  1.3508e-15)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000   -4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000   -4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000   -0.06006000    0.00000000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000    4.00400000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000    4.00400000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000   -4.00400000)
inode=   8:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000    0.06006000    0.00000000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000    4.00400000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000   -4.00400000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000    4.00400000)
    d(Node)/d(croot) check complete with       10 total errors (errmax=  4.1235e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=  -0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=  -0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(aspect) check complete with        8 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3508e-15)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00400000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00400000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00400000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00400000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00400000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00400000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00400000)
    d(Node)/d(aspect) check complete with        8 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   3, ipnt=  32: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00099950   -0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000   -4.00000000)
iface=   3, ipnt=  33: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00099950    0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000   -4.00000000)
iface=   4, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00099950   -0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000    4.00000000)
iface=   4, ipnt=  65: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00099950    0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(taper) check complete with       12 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  5.0065e-07)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000   -4.00200000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000   -4.00200000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000    4.00200000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000    4.00200000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000   -4.00200000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000    4.00200000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000   -4.00200000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000    4.00200000)
    d(Node)/d(taper) check complete with        8 total errors (errmax=  2.2369e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.397 sec

Sensitivity checks complete with       90 total errors (max tessel err=  4.1235e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "thickness" for ibody=15
iface=   1, ipnt=  33 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  33 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  34 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  35 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  36 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  37 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  35 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  36 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iface=   2, ipnt=  37 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  37 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   3, ipnt=  33 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  33 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  34 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  35 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  36 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iface=   3, ipnt=  37 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   4, ipnt=  33 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  33 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  34 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  35 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  36 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iface=   4, ipnt=  37 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1716 total errors (errmax=  5.0000e-01)
iedge=   2, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    4.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=   8, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iedge=   8, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iedge=   9, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    4.00000000)
iedge=  10, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with       78 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "camber" for ibody=15
iface=   1, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iface=   2, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   3, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iface=   3, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   4, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iface=   4, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     1584 total errors (errmax=  1.3511e-02)
iedge=   2, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iedge=   4, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    4.00000000)
iedge=   7, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=   8, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iedge=   8, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iedge=   9, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    4.00000000)
iedge=  10, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with       72 total errors (errmax=  1.3511e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2188e-15)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "croot" for ibody=15
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.9196e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "aspect" for ibody=15
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "taper" for ibody=15
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "twist" for ibody=15
    d(Face)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "lesweep" for ibody=15
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.7512e-11)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "dihedral" for ibody=15
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9357e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.3878e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.673 sec

Sensitivity checks complete with     3450 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   1, ipnt=  33: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  36: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  37: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  39: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iface=   1, ipnt=  73: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   1, ipnt=  74: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   1, ipnt=  75: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931   -0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iface=   2, ipnt=  33: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  36: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iface=   2, ipnt=  37: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   2, ipnt=  39: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   2, ipnt=  73: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iface=   2, ipnt=  74: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iface=   2, ipnt=  75: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
...too many errors to list
iface=   3, ipnt=  33: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  36: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iface=   3, ipnt=  37: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iface=   3, ipnt=  39: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iface=   3, ipnt=  73: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   3, ipnt=  74: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   3, ipnt=  75: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931   -0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iface=   4, ipnt=  33: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  36: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iface=   4, ipnt=  37: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   4, ipnt=  39: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   4, ipnt=  73: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
iface=   4, ipnt=  74: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iface=   4, ipnt=  75: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      924 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   7: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iedge=   4, ipnt=   1: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   4: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iedge=   4, ipnt=   5: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iedge=   4, ipnt=   7: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iedge=   7, ipnt=   1: anal=   0.87660684    0.02617966    4.00000000, ptrb=   0.87664478    0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2: anal=   0.75183819    0.04494637    4.00000000, ptrb=   0.75188255    0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3: anal=   0.62614955    0.05623324    4.00000000, ptrb=   0.62617765    0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   4: anal=   0.50000000    0.05999998    4.00000000, ptrb=   0.50000000    0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    4.00000000)
iedge=   7, ipnt=   5: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iedge=   7, ipnt=   7: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iedge=   8, ipnt=   1: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   4: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iedge=   8, ipnt=   5: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iedge=   8, ipnt=   7: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iedge=   9, ipnt=   1: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   4: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iedge=   9, ipnt=   5: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iedge=   9, ipnt=   7: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iedge=  10, ipnt=   1: anal=   0.12339311   -0.02617966    4.00000000, ptrb=   0.12335517   -0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2: anal=   0.24816182   -0.04494637    4.00000000, ptrb=   0.24811746   -0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3: anal=   0.37385045   -0.05623324    4.00000000, ptrb=   0.37382235   -0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   4: anal=   0.50000000   -0.05999998    4.00000000, ptrb=   0.50000000   -0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    4.00000000)
iedge=  10, ipnt=   5: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iedge=  10, ipnt=   7: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
    d(Edge)/d(thickness) check complete with       42 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   1, ipnt=  32: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582    0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582    0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   2, ipnt=  32: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  40: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582   -0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   3, ipnt=  72: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  40: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  72: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582   -0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(croot) check complete with       12 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.2316e-07)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000   -4.00400000)
inode=   2:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(croot) check complete with        5 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3506e-15)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00400000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   1, ipnt=  32: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579    0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579    0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   3, ipnt=  40: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579   -0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=  72: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579   -0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000   -4.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000    4.00200000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1295e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.7831e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.6517e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.633 sec

Sensitivity checks complete with     1003 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "thickness" for ibody=15
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9007e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8958e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "camber" for ibody=15
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "croot" for ibody=15
    d(Face)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "aspect" for ibody=15
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.7065e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.7065e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "taper" for ibody=15
    d(Face)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "twist" for ibody=15
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5122e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "lesweep" for ibody=15
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "dihedral" for ibody=15
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.3625e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5334e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.6360e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.028 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.9007e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD3c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4584e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.1583e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   1, ipnt=  32: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001945    0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001945    0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    4.00000000)
iface=   2, ipnt=  32: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   3, ipnt= 141: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001945   -0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000   -4.00000000)
iface=   3, ipnt= 173: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   4, ipnt= 141: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   4, ipnt= 173: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001945   -0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   5, ipnt=  32: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000   -4.00000000)
iface=   5, ipnt=  65: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    4.00000000)
iface=   6, ipnt=  32: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   6, ipnt=  33: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   6, ipnt=  65: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    4.00000000)
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(croot) check complete with       22 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.1397e-08)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126   -4.00400000)
inode=   2:            anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000    0.00126126    0.00000000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126   -4.00400000)
inode=   8:            anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000   -0.00126126    0.00000000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126    4.00400000)
    d(Node)/d(croot) check complete with        8 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=  -0.00000000   -0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=  -0.00000000   -0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(aspect) check complete with        6 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3506e-15)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00400000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00400000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00400000)
    d(Node)/d(aspect) check complete with        6 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
iface=   1, ipnt=  32: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001944    0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001944    0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000    4.00000000)
iface=   3, ipnt= 141: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001944   -0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000   -4.00000000)
iface=   4, ipnt= 173: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001944   -0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000    4.00000000)
iface=   5, ipnt=  32: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00099950   -0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00099950    0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00099950   -0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000    4.00000000)
iface=   6, ipnt=  65: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00099950    0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000    4.00000000)
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(taper) check complete with       14 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126   -4.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126    4.00200000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126   -4.00200000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126    4.00200000)
    d(Node)/d(taper) check complete with        6 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9114e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=15
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.120 sec

Sensitivity checks complete with       62 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "thickness" for ibody=32
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.1317e-11)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4378e-11)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "camber" for ibody=32
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3878e-11)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "croot" for ibody=32
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "aspect" for ibody=32
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "taper" for ibody=32
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "twist" for ibody=32
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.6731e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.6731e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1132e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "lesweep" for ibody=32
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  8.4024e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32

Comparing configuration sensitivities wrt "dihedral" for ibody=32
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9204e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.5142e-12)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.549 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -2.00000000)
iface=   1, ipnt=  16: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  24: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -2.00000000)
iface=   2, ipnt=   0: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  16: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -2.00000000)
iface=   2, ipnt=  24: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -2.00000000)
iface=   2, ipnt=  40: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   3, ipnt=   0: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    2.00000000)
iface=   3, ipnt=  16: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   3, ipnt=  24: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   3, ipnt=  40: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    4.00000000)
iface=   4, ipnt=  16: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=  24: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=  40: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -2.00000000)
iface=   9, ipnt=  16: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  24: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  40: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -2.00000000)
iface=  10, ipnt=   0: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=  10, ipnt=  16: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -2.00000000)
iface=  10, ipnt=  24: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -2.00000000)
iface=  10, ipnt=  40: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=  11, ipnt=   0: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    2.00000000)
iface=  11, ipnt=  16: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=  11, ipnt=  24: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=  11, ipnt=  40: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    2.00000000)
iface=  12, ipnt=   0: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    4.00000000)
iface=  12, ipnt=  16: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    2.00000000)
iface=  12, ipnt=  24: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    2.00000000)
iface=  12, ipnt=  40: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    4.00000000)
    d(Face)/d(thickness) check complete with       32 total errors (errmax=  5.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.5776e-16)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000   -4.00000000)
inode=   2:            anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000   -2.00000000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000   -4.00000000)
inode=   4:            anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000   -2.00000000)
inode=   5:            anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    0.00000000)
inode=   6:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    0.00000000)
inode=   7:            anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    2.00000000)
inode=   8:            anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    2.00000000)
inode=   9:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    4.00000000)
inode=  10:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    4.00000000)
inode=  11:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000   -4.00000000)
inode=  12:            anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    1.00000000    0.06050000   -2.00000000)
inode=  13:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    0.00000000)
inode=  14:            anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    2.00000000)
inode=  15:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    4.00000000)
inode=  16:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000   -4.00000000)
inode=  17:            anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06050000   -2.00000000, dist=   0.00050000 (at    0.00000000    0.06050000   -2.00000000)
inode=  18:            anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    0.00000000)
inode=  19:            anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06050000    2.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    2.00000000)
inode=  20:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    4.00000000)
    d(Node)/d(thickness) check complete with       20 total errors (errmax=  5.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.1632e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06006000   -2.00200000, dist=   0.00200090 (at    0.00000000   -0.06000000   -2.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06006000   -2.00200000, dist=   0.00200090 (at    1.00000000   -0.06000000   -2.00000000)
iface=   4, ipnt=  16: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06006000    2.00200000, dist=   0.00200090 (at    0.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=  24: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06006000    2.00200000, dist=   0.00200090 (at    1.00000000   -0.06000000    2.00000000)
iface=   5, ipnt=   0: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00100000   -0.06000000   -2.00200000, dist=   0.00223607 (at    1.00000000   -0.06000000   -2.00000000)
iface=   5, ipnt=  16: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   5, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00100000    0.06000000   -2.00200000, dist=   0.00223607 (at    1.00000000    0.06000000   -2.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   6, ipnt=  16: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00100000   -0.06000000   -2.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000   -2.00000000)
iface=   6, ipnt=  17: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00100000    0.06000000   -2.00000000, dist=   0.00100000 (at    1.00000000    0.06000000   -2.00000000)
iface=   6, ipnt=  33: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   7, ipnt=   0: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00100000   -0.06000000    2.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    2.00000000)
iface=   7, ipnt=  16: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   7, ipnt=  17: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   7, ipnt=  33: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00100000    0.06000000    2.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    2.00000000)
iface=   8, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    4.00000000)
iface=   8, ipnt=  16: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00100000   -0.06000000    2.00200000, dist=   0.00223607 (at    1.00000000   -0.06000000    2.00000000)
iface=   8, ipnt=  17: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00100000    0.06000000    2.00200000, dist=   0.00223607 (at    1.00000000    0.06000000    2.00000000)
iface=   8, ipnt=  33: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06006000   -2.00200000, dist=   0.00200090 (at    1.00000000    0.06000000   -2.00000000)
iface=   9, ipnt=  40: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06006000   -2.00200000, dist=   0.00200090 (at    0.00000000    0.06000000   -2.00000000)
iface=  12, ipnt=  16: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06006000    2.00200000, dist=   0.00200090 (at    1.00000000    0.06000000    2.00000000)
iface=  12, ipnt=  24: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06006000    2.00200000, dist=   0.00200090 (at    0.00000000    0.06000000    2.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00000000)
iface=  13, ipnt=  33: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00000000)
iface=  16, ipnt=  16: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00000000)
iface=  16, ipnt=  17: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00000000)
iface=  17, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=  17, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  18, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  18, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  18, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  18, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(croot) check complete with       36 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   0.00000000   -0.06006000   -2.00000000, ptrb=   0.00000000   -0.06006000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00000000)
iedge=   3, ipnt=  16: anal=   1.00100000   -0.06006000   -2.00000000, ptrb=   1.00100000   -0.06006000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   0.00000000   -0.06006000    2.00000000, ptrb=   0.00000000   -0.06006000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00000000)
iedge=  12, ipnt=   0: anal=   1.00100000   -0.06006000    2.00000000, ptrb=   1.00100000   -0.06006000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00100000    0.06006000   -2.00000000, ptrb=   1.00100000    0.06006000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00100000    0.06006000    2.00000000, ptrb=   1.00100000    0.06006000    2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    2.00000000)
iedge=  24, ipnt=  16: anal=   0.00000000    0.06006000   -2.00000000, ptrb=   0.00000000    0.06006000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00000000)
iedge=  30, ipnt=   0: anal=   0.00000000    0.06006000    2.00000000, ptrb=   0.00000000    0.06006000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00000000)
    d(Edge)/d(croot) check complete with        8 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000   -4.00400000)
inode=   2:            anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06006000   -2.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000   -2.00200000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000   -4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00100000   -0.06006000   -2.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000   -2.00200000)
inode=   6:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000   -0.06006000    0.00000000)
inode=   7:            anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06006000    2.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000    2.00200000)
inode=   8:            anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00100000   -0.06006000    2.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000    2.00200000)
inode=   9:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000    4.00400000)
inode=  10:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000    4.00400000)
inode=  11:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000   -4.00400000)
inode=  12:            anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00100000    0.06006000   -2.00200000, dist=   0.00223687 (at    1.00100000    0.06006000   -2.00200000)
inode=  13:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000    0.06006000    0.00000000)
inode=  14:            anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00100000    0.06006000    2.00200000, dist=   0.00223687 (at    1.00100000    0.06006000    2.00200000)
inode=  15:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000    4.00400000)
inode=  16:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000   -4.00400000)
inode=  17:            anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06006000   -2.00200000, dist=   0.00200090 (at    0.00000000    0.06006000   -2.00200000)
inode=  19:            anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06006000    2.00200000, dist=   0.00200090 (at    0.00000000    0.06006000    2.00200000)
inode=  20:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000    4.00400000)
    d(Node)/d(croot) check complete with       18 total errors (errmax=  4.1235e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -2.00000000)
iface=   4, ipnt=  16: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=  24: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    2.00000000)
iface=   5, ipnt=   0: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -2.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -2.00000000)
iface=   8, ipnt=  16: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    2.00000000)
iface=   8, ipnt=  17: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    2.00000000)
iface=   9, ipnt=   0: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -2.00000000)
iface=   9, ipnt=  40: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00000000)
iface=  12, ipnt=  16: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    2.00000000)
iface=  12, ipnt=  24: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00000000)
iface=  13, ipnt=  33: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00000000)
iface=  16, ipnt=  16: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00000000)
iface=  16, ipnt=  17: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00000000)
iface=  17, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=  -0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=  17, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  18, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  18, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=  -0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  18, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  18, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(aspect) check complete with       24 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00000000)
iedge=   3, ipnt=  16: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00000000)
iedge=  12, ipnt=   0: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    2.00000000)
iedge=  24, ipnt=  16: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00000000)
iedge=  30, ipnt=   0: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00000000)
    d(Edge)/d(aspect) check complete with        8 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00400000)
inode=   2:            anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -2.00200000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000000   -0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -2.00200000)
inode=   7:            anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    2.00200000)
inode=   8:            anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000000   -0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    2.00200000)
inode=   9:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00400000)
inode=  10:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00400000)
inode=  11:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00400000)
inode=  12:            anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -2.00200000)
inode=  14:            anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    2.00200000)
inode=  15:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00400000)
inode=  16:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00400000)
inode=  17:            anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -2.00200000)
inode=  19:            anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    2.00200000)
inode=  20:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00400000)
    d(Node)/d(aspect) check complete with       16 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06003000   -2.00100000, dist=   0.00100045 (at    0.00000000   -0.06000000   -2.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00000025   -0.06003000   -2.00100000, dist=   0.00100045 (at    1.00000000   -0.06000000   -2.00000000)
iface=   4, ipnt=  16: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06003000    2.00100000, dist=   0.00100045 (at    0.00000000   -0.06000000    2.00000000)
iface=   4, ipnt=  24: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00000025   -0.06003000    2.00100000, dist=   0.00100045 (at    1.00000000   -0.06000000    2.00000000)
iface=   5, ipnt=   0: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00050000   -0.06000001   -2.00100000, dist=   0.00111803 (at    1.00000000   -0.06000000   -2.00000000)
iface=   5, ipnt=  16: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00099950   -0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000   -4.00000000)
iface=   5, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00099950    0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00050000    0.06000001   -2.00100000, dist=   0.00111803 (at    1.00000000    0.06000000   -2.00000000)
iface=   6, ipnt=  16: anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00049975   -0.06000000   -1.99999988, dist=   0.00049975 (at    1.00000000   -0.06000000   -2.00000000)
iface=   6, ipnt=  17: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00049975    0.06000000   -1.99999988, dist=   0.00049975 (at    1.00000000    0.06000000   -2.00000000)
iface=   7, ipnt=   0: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00049975   -0.06000000    1.99999988, dist=   0.00049975 (at    1.00000000   -0.06000000    2.00000000)
iface=   7, ipnt=  33: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00049975    0.06000000    1.99999988, dist=   0.00049975 (at    1.00000000    0.06000000    2.00000000)
iface=   8, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00099950   -0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000    4.00000000)
iface=   8, ipnt=  16: anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00050000   -0.06000001    2.00100000, dist=   0.00111803 (at    1.00000000   -0.06000000    2.00000000)
iface=   8, ipnt=  17: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00050000    0.06000001    2.00100000, dist=   0.00111803 (at    1.00000000    0.06000000    2.00000000)
iface=   8, ipnt=  33: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00099950    0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00000025    0.06003000   -2.00100000, dist=   0.00100045 (at    1.00000000    0.06000000   -2.00000000)
iface=   9, ipnt=  40: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06003000   -2.00100000, dist=   0.00100045 (at    0.00000000    0.06000000   -2.00000000)
iface=  12, ipnt=  16: anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00000025    0.06003000    2.00100000, dist=   0.00100045 (at    1.00000000    0.06000000    2.00000000)
iface=  12, ipnt=  24: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06003000    2.00100000, dist=   0.00100045 (at    0.00000000    0.06000000    2.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06000001   -2.00100000, dist=   0.00100000 (at    0.00000000    0.06000000   -2.00000000)
iface=  13, ipnt=  33: anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06000001   -2.00100000, dist=   0.00100000 (at    0.00000000   -0.06000000   -2.00000000)
iface=  16, ipnt=  16: anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06000001    2.00100000, dist=   0.00100000 (at    0.00000000    0.06000000    2.00000000)
iface=  16, ipnt=  17: anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06000001    2.00100000, dist=   0.00100000 (at    0.00000000   -0.06000000    2.00000000)
iface=  17, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -4.00000000)
iface=  17, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -4.00000000)
iface=  17, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -4.00000000)
iface=  18, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    4.00000000)
iface=  18, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    4.00000000)
iface=  18, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    4.00000000)
iface=  18, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(taper) check complete with       32 total errors (errmax=  2.0000e-03)
iedge=   1, ipnt=  16: anal=   0.00000000   -0.06003000   -2.00000000, ptrb=   0.00000000   -0.06003000   -2.00100000, dist=   0.00100000 (at    0.00000000   -0.06000000   -2.00000000)
iedge=   3, ipnt=  16: anal=   1.00050000   -0.06003000   -2.00000000, ptrb=   1.00050000   -0.06003000   -2.00100000, dist=   0.00100000 (at    1.00000000   -0.06000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   0.00000000   -0.06003000    2.00000000, ptrb=   0.00000000   -0.06003000    2.00100000, dist=   0.00100000 (at    0.00000000   -0.06000000    2.00000000)
iedge=  12, ipnt=   0: anal=   1.00050000   -0.06003000    2.00000000, ptrb=   1.00050000   -0.06003000    2.00100000, dist=   0.00100000 (at    1.00000000   -0.06000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00050000    0.06003000   -2.00000000, ptrb=   1.00050000    0.06003000   -2.00100000, dist=   0.00100000 (at    1.00000000    0.06000000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00050000    0.06003000    2.00000000, ptrb=   1.00050000    0.06003000    2.00100000, dist=   0.00100000 (at    1.00000000    0.06000000    2.00000000)
iedge=  24, ipnt=  16: anal=   0.00000000    0.06003000   -2.00000000, ptrb=   0.00000000    0.06003000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.06000000   -2.00000000)
iedge=  30, ipnt=   0: anal=   0.00000000    0.06003000    2.00000000, ptrb=   0.00000000    0.06003000    2.00100000, dist=   0.00100000 (at    0.00000000    0.06000000    2.00000000)
    d(Edge)/d(taper) check complete with        8 total errors (errmax=  1.0000e-03)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000   -4.00200000)
inode=   2:            anal=   0.00000000   -0.06000000   -2.00000000, ptrb=   0.00000000   -0.06003000   -2.00100000, dist=   0.00100045 (at    0.00000000   -0.06003000   -2.00100000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000   -4.00200000)
inode=   4:            anal=   1.00000000   -0.06000000   -2.00000000, ptrb=   1.00050000   -0.06003000   -2.00100000, dist=   0.00111844 (at    1.00050000   -0.06003000   -2.00100000)
inode=   7:            anal=   0.00000000   -0.06000000    2.00000000, ptrb=   0.00000000   -0.06003000    2.00100000, dist=   0.00100045 (at    0.00000000   -0.06003000    2.00100000)
inode=   8:            anal=   1.00000000   -0.06000000    2.00000000, ptrb=   1.00050000   -0.06003000    2.00100000, dist=   0.00111844 (at    1.00050000   -0.06003000    2.00100000)
inode=   9:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000    4.00200000)
inode=  10:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000    4.00200000)
inode=  11:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000   -4.00200000)
inode=  12:            anal=   1.00000000    0.06000000   -2.00000000, ptrb=   1.00050000    0.06003000   -2.00100000, dist=   0.00111844 (at    1.00050000    0.06003000   -2.00100000)
inode=  14:            anal=   1.00000000    0.06000000    2.00000000, ptrb=   1.00050000    0.06003000    2.00100000, dist=   0.00111844 (at    1.00050000    0.06003000    2.00100000)
inode=  15:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000    4.00200000)
inode=  16:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000   -4.00200000)
inode=  17:            anal=   0.00000000    0.06000000   -2.00000000, ptrb=   0.00000000    0.06003000   -2.00100000, dist=   0.00100045 (at    0.00000000    0.06003000   -2.00100000)
inode=  19:            anal=   0.00000000    0.06000000    2.00000000, ptrb=   0.00000000    0.06003000    2.00100000, dist=   0.00100045 (at    0.00000000    0.06003000    2.00100000)
inode=  20:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000    4.00200000)
    d(Node)/d(taper) check complete with       16 total errors (errmax=  2.2369e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=32
Computing distances of perturbed points from perturbed configuration for ibody=32
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.533 sec

Sensitivity checks complete with      218 total errors (max tessel err=  4.1235e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "thickness" for ibody=27
iface=   1, ipnt=  17 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  17 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  18 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  18 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  19 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  19 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  20 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  21 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  21 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  22 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  17 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -2.00000000)
iface=   2, ipnt=  17 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -2.00000000)
iface=   2, ipnt=  18 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -2.00000000)
iface=   2, ipnt=  18 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -2.00000000)
iface=   2, ipnt=  19 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -2.00000000)
iface=   2, ipnt=  19 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -2.00000000)
iface=   2, ipnt=  20 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -2.00000000)
iface=   2, ipnt=  21 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -2.00000000)
iface=   2, ipnt=  21 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -2.00000000)
iface=   2, ipnt=  22 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -2.00000000)
...too many errors to list
iface=   3, ipnt=  17 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iface=   3, ipnt=  17 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iface=   3, ipnt=  18 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iface=   3, ipnt=  18 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iface=   3, ipnt=  19 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iface=   3, ipnt=  19 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iface=   3, ipnt=  20 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iface=   3, ipnt=  21 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iface=   3, ipnt=  21 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iface=   3, ipnt=  22 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   4, ipnt=  17 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    2.00000000)
iface=   4, ipnt=  17 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    2.00000000)
iface=   4, ipnt=  18 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    2.00000000)
iface=   4, ipnt=  18 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    2.00000000)
iface=   4, ipnt=  19 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    2.00000000)
iface=   4, ipnt=  19 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    2.00000000)
iface=   4, ipnt=  20 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    2.00000000)
iface=   4, ipnt=  21 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    2.00000000)
iface=   4, ipnt=  21 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    2.00000000)
iface=   4, ipnt=  22 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    2.00000000)
...too many errors to list
iface=   5, ipnt=  17 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iface=   5, ipnt=  17 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iface=   5, ipnt=  18 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iface=   5, ipnt=  18 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iface=   5, ipnt=  19 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iface=   5, ipnt=  19 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iface=   5, ipnt=  20 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iface=   5, ipnt=  21 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iface=   5, ipnt=  21 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iface=   5, ipnt=  22 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   6, ipnt=  17 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -2.00000000)
iface=   6, ipnt=  17 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -2.00000000)
iface=   6, ipnt=  18 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -2.00000000)
iface=   6, ipnt=  18 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -2.00000000)
iface=   6, ipnt=  19 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -2.00000000)
iface=   6, ipnt=  19 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -2.00000000)
iface=   6, ipnt=  20 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -2.00000000)
iface=   6, ipnt=  21 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -2.00000000)
iface=   6, ipnt=  21 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -2.00000000)
iface=   6, ipnt=  22 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -2.00000000)
...too many errors to list
iface=   7, ipnt=  17 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iface=   7, ipnt=  17 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iface=   7, ipnt=  18 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iface=   7, ipnt=  18 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iface=   7, ipnt=  19 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iface=   7, ipnt=  19 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iface=   7, ipnt=  20 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iface=   7, ipnt=  21 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iface=   7, ipnt=  21 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iface=   7, ipnt=  22 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iface=   8, ipnt=  17 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    2.00000000)
iface=   8, ipnt=  17 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    2.00000000)
iface=   8, ipnt=  18 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    2.00000000)
iface=   8, ipnt=  18 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    2.00000000)
iface=   8, ipnt=  19 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    2.00000000)
iface=   8, ipnt=  19 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    2.00000000)
iface=   8, ipnt=  20 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    2.00000000)
iface=   8, ipnt=  21 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    2.00000000)
iface=   8, ipnt=  21 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    2.00000000)
iface=   8, ipnt=  22 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    2.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1768 total errors (errmax=  5.0000e-01)
iedge=   2, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -2.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -2.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -2.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -2.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -2.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -2.00000000)
iedge=   4, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -2.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -2.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -2.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -2.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iedge=   7, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    2.00000000)
iedge=  10, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    2.00000000)
iedge=  10, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    2.00000000)
iedge=  10, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    2.00000000)
iedge=  10, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    2.00000000)
iedge=  10, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    2.00000000)
iedge=  10, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    2.00000000)
iedge=  10, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    2.00000000)
iedge=  10, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    2.00000000)
iedge=  10, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    2.00000000)
...too many errors to list
iedge=  13, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    4.00000000)
iedge=  13, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    4.00000000)
iedge=  13, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    4.00000000)
iedge=  13, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    4.00000000)
iedge=  13, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    4.00000000)
iedge=  13, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    4.00000000)
iedge=  13, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    4.00000000)
iedge=  13, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    4.00000000)
iedge=  13, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    4.00000000)
iedge=  13, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=  14, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iedge=  14, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iedge=  14, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iedge=  14, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iedge=  14, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iedge=  14, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iedge=  14, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iedge=  14, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iedge=  14, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iedge=  14, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=  15, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -2.00000000)
iedge=  15, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -2.00000000)
iedge=  15, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -2.00000000)
iedge=  15, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -2.00000000)
iedge=  15, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -2.00000000)
iedge=  15, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -2.00000000)
iedge=  15, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -2.00000000)
iedge=  15, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -2.00000000)
iedge=  15, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -2.00000000)
iedge=  15, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -2.00000000)
...too many errors to list
iedge=  16, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=  16, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=  16, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=  16, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=  16, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iedge=  16, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iedge=  16, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iedge=  16, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iedge=  16, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iedge=  16, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  17, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    2.00000000)
iedge=  17, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    2.00000000)
iedge=  17, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    2.00000000)
iedge=  17, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    2.00000000)
iedge=  17, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    2.00000000)
iedge=  17, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    2.00000000)
iedge=  17, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    2.00000000)
iedge=  17, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    2.00000000)
iedge=  17, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    2.00000000)
iedge=  17, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    2.00000000)
...too many errors to list
iedge=  18, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    4.00000000)
iedge=  18, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    4.00000000)
iedge=  18, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    4.00000000)
iedge=  18, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    4.00000000)
iedge=  18, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    4.00000000)
iedge=  18, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    4.00000000)
iedge=  18, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    4.00000000)
iedge=  18, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    4.00000000)
iedge=  18, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    4.00000000)
iedge=  18, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      130 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "camber" for ibody=27
iface=   1, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -2.00000000)
iface=   2, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -2.00000000)
iface=   2, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -2.00000000)
iface=   2, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -2.00000000)
iface=   2, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -2.00000000)
iface=   2, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -2.00000000)
iface=   2, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -2.00000000)
iface=   2, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -2.00000000)
iface=   2, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -2.00000000)
iface=   2, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -2.00000000)
...too many errors to list
iface=   3, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iface=   3, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iface=   3, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iface=   3, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iface=   3, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iface=   3, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iface=   3, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iface=   3, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iface=   3, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iface=   3, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   4, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    2.00000000)
iface=   4, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    2.00000000)
iface=   4, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    2.00000000)
iface=   4, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    2.00000000)
iface=   4, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    2.00000000)
iface=   4, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    2.00000000)
iface=   4, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    2.00000000)
iface=   4, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    2.00000000)
iface=   4, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    2.00000000)
iface=   4, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    2.00000000)
...too many errors to list
iface=   5, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iface=   5, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iface=   5, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iface=   5, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iface=   5, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iface=   5, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iface=   5, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iface=   5, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iface=   5, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iface=   5, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   6, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -2.00000000)
iface=   6, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -2.00000000)
iface=   6, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -2.00000000)
iface=   6, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -2.00000000)
iface=   6, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -2.00000000)
iface=   6, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -2.00000000)
iface=   6, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -2.00000000)
iface=   6, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -2.00000000)
iface=   6, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -2.00000000)
iface=   6, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -2.00000000)
...too many errors to list
iface=   7, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iface=   7, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iface=   7, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iface=   7, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iface=   7, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iface=   7, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iface=   7, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iface=   7, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iface=   7, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iface=   7, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iface=   8, ipnt=  17 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    2.00000000)
iface=   8, ipnt=  17 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    2.00000000)
iface=   8, ipnt=  18 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    2.00000000)
iface=   8, ipnt=  18 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    2.00000000)
iface=   8, ipnt=  19 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    2.00000000)
iface=   8, ipnt=  19 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    2.00000000)
iface=   8, ipnt=  21 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    2.00000000)
iface=   8, ipnt=  21 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    2.00000000)
iface=   8, ipnt=  22 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    2.00000000)
iface=   8, ipnt=  22 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    2.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     1632 total errors (errmax=  1.3511e-02)
iedge=   2, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -2.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -2.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -2.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -2.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -2.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -2.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -2.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -2.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -2.00000000)
iedge=   4, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -2.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iedge=   7, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    2.00000000)
iedge=  10, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    2.00000000)
iedge=  10, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    2.00000000)
iedge=  10, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    2.00000000)
iedge=  10, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    2.00000000)
iedge=  10, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    2.00000000)
iedge=  10, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    2.00000000)
iedge=  10, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    2.00000000)
iedge=  10, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    2.00000000)
iedge=  10, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    2.00000000)
...too many errors to list
iedge=  13, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    4.00000000)
iedge=  13, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    4.00000000)
iedge=  13, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    4.00000000)
iedge=  13, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    4.00000000)
iedge=  13, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    4.00000000)
iedge=  13, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    4.00000000)
iedge=  13, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    4.00000000)
iedge=  13, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    4.00000000)
iedge=  13, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    4.00000000)
iedge=  13, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=  14, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iedge=  14, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iedge=  14, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iedge=  14, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iedge=  14, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iedge=  14, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iedge=  14, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iedge=  14, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iedge=  14, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iedge=  14, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=  15, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -2.00000000)
iedge=  15, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -2.00000000)
iedge=  15, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -2.00000000)
iedge=  15, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -2.00000000)
iedge=  15, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -2.00000000)
iedge=  15, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -2.00000000)
iedge=  15, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -2.00000000)
iedge=  15, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -2.00000000)
iedge=  15, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -2.00000000)
iedge=  15, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -2.00000000)
...too many errors to list
iedge=  16, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=  16, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=  16, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=  16, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=  16, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iedge=  16, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iedge=  16, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iedge=  16, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iedge=  16, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iedge=  16, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  17, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    2.00000000)
iedge=  17, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    2.00000000)
iedge=  17, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    2.00000000)
iedge=  17, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    2.00000000)
iedge=  17, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    2.00000000)
iedge=  17, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    2.00000000)
iedge=  17, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    2.00000000)
iedge=  17, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    2.00000000)
iedge=  17, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    2.00000000)
iedge=  17, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    2.00000000)
...too many errors to list
iedge=  18, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    4.00000000)
iedge=  18, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    4.00000000)
iedge=  18, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    4.00000000)
iedge=  18, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    4.00000000)
iedge=  18, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    4.00000000)
iedge=  18, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    4.00000000)
iedge=  18, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    4.00000000)
iedge=  18, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    4.00000000)
iedge=  18, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    4.00000000)
iedge=  18, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      120 total errors (errmax=  1.3511e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2188e-15)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "croot" for ibody=27
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.9196e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "aspect" for ibody=27
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "taper" for ibody=27
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "twist" for ibody=27
    d(Face)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "lesweep" for ibody=27
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  5.3888e-11)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  8.4024e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "dihedral" for ibody=27
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.3878e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.014 sec

Sensitivity checks complete with     3650 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=  17: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  18: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  19: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  20: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  21: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  22: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  23: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iface=   1, ipnt=  41: anal=   0.12339311    0.02617966   -2.00000000, ptrb=   0.12335517    0.02638738   -2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -2.00000000)
iface=   1, ipnt=  42: anal=   0.24816182    0.04494637   -2.00000000, ptrb=   0.24811746    0.04531288   -2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -2.00000000)
iface=   1, ipnt=  43: anal=   0.37385045    0.05623324   -2.00000000, ptrb=   0.37382235    0.05669931   -2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -2.00000000)
...too many errors to list
iface=   2, ipnt=  17: anal=   0.87660689    0.02617966   -2.00000000, ptrb=   0.87664483    0.02638738   -2.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -2.00000000)
iface=   2, ipnt=  18: anal=   0.75183818    0.04494637   -2.00000000, ptrb=   0.75188254    0.04531288   -2.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -2.00000000)
iface=   2, ipnt=  19: anal=   0.62614955    0.05623324   -2.00000000, ptrb=   0.62617765    0.05669931   -2.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -2.00000000)
iface=   2, ipnt=  20: anal=   0.50000000    0.05999998   -2.00000000, ptrb=   0.50000000    0.06049998   -2.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -2.00000000)
iface=   2, ipnt=  21: anal=   0.37385045    0.05623324   -2.00000000, ptrb=   0.37382235    0.05669931   -2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -2.00000000)
iface=   2, ipnt=  22: anal=   0.24816182    0.04494637   -2.00000000, ptrb=   0.24811746    0.04531288   -2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -2.00000000)
iface=   2, ipnt=  23: anal=   0.12339311    0.02617966   -2.00000000, ptrb=   0.12335517    0.02638738   -2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -2.00000000)
iface=   2, ipnt=  41: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   2, ipnt=  42: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   2, ipnt=  43: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931   -0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iface=   3, ipnt=  17: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iface=   3, ipnt=  18: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iface=   3, ipnt=  19: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iface=   3, ipnt=  20: anal=   0.50000000    0.05999998   -0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iface=   3, ipnt=  21: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iface=   3, ipnt=  22: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   3, ipnt=  23: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   3, ipnt=  41: anal=   0.12339311    0.02617966    2.00000000, ptrb=   0.12335517    0.02638738    2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    2.00000000)
iface=   3, ipnt=  42: anal=   0.24816182    0.04494637    2.00000000, ptrb=   0.24811746    0.04531288    2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    2.00000000)
iface=   3, ipnt=  43: anal=   0.37385045    0.05623324    2.00000000, ptrb=   0.37382235    0.05669931    2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    2.00000000)
...too many errors to list
iface=   4, ipnt=  17: anal=   0.87660689    0.02617966    2.00000000, ptrb=   0.87664483    0.02638738    2.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    2.00000000)
iface=   4, ipnt=  18: anal=   0.75183818    0.04494637    2.00000000, ptrb=   0.75188254    0.04531288    2.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    2.00000000)
iface=   4, ipnt=  19: anal=   0.62614955    0.05623324    2.00000000, ptrb=   0.62617765    0.05669931    2.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    2.00000000)
iface=   4, ipnt=  20: anal=   0.50000000    0.05999998    2.00000000, ptrb=   0.50000000    0.06049998    2.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    2.00000000)
iface=   4, ipnt=  21: anal=   0.37385045    0.05623324    2.00000000, ptrb=   0.37382235    0.05669931    2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    2.00000000)
iface=   4, ipnt=  22: anal=   0.24816182    0.04494637    2.00000000, ptrb=   0.24811746    0.04531288    2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    2.00000000)
iface=   4, ipnt=  23: anal=   0.12339311    0.02617966    2.00000000, ptrb=   0.12335517    0.02638738    2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    2.00000000)
iface=   4, ipnt=  41: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iface=   4, ipnt=  42: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iface=   4, ipnt=  43: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
...too many errors to list
iface=   5, ipnt=  17: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iface=   5, ipnt=  18: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iface=   5, ipnt=  19: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iface=   5, ipnt=  20: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iface=   5, ipnt=  21: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iface=   5, ipnt=  22: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iface=   5, ipnt=  23: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iface=   5, ipnt=  41: anal=   0.87660689   -0.02617966   -2.00000000, ptrb=   0.87664483   -0.02638738   -2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -2.00000000)
iface=   5, ipnt=  42: anal=   0.75183818   -0.04494637   -2.00000000, ptrb=   0.75188254   -0.04531288   -2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -2.00000000)
iface=   5, ipnt=  43: anal=   0.62614955   -0.05623324   -2.00000000, ptrb=   0.62617765   -0.05669931   -2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -2.00000000)
...too many errors to list
iface=   6, ipnt=  17: anal=   0.12339311   -0.02617966   -2.00000000, ptrb=   0.12335517   -0.02638738   -2.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -2.00000000)
iface=   6, ipnt=  18: anal=   0.24816182   -0.04494637   -2.00000000, ptrb=   0.24811746   -0.04531288   -2.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -2.00000000)
iface=   6, ipnt=  19: anal=   0.37385045   -0.05623324   -2.00000000, ptrb=   0.37382235   -0.05669931   -2.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -2.00000000)
iface=   6, ipnt=  20: anal=   0.50000000   -0.05999998   -2.00000000, ptrb=   0.50000000   -0.06049998   -2.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -2.00000000)
iface=   6, ipnt=  21: anal=   0.62614955   -0.05623324   -2.00000000, ptrb=   0.62617765   -0.05669931   -2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -2.00000000)
iface=   6, ipnt=  22: anal=   0.75183818   -0.04494637   -2.00000000, ptrb=   0.75188254   -0.04531288   -2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -2.00000000)
iface=   6, ipnt=  23: anal=   0.87660689   -0.02617966   -2.00000000, ptrb=   0.87664483   -0.02638738   -2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -2.00000000)
iface=   6, ipnt=  41: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   6, ipnt=  42: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   6, ipnt=  43: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931   -0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iface=   7, ipnt=  17: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iface=   7, ipnt=  18: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iface=   7, ipnt=  19: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iface=   7, ipnt=  20: anal=   0.50000000   -0.05999998    0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iface=   7, ipnt=  21: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iface=   7, ipnt=  22: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   7, ipnt=  23: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   7, ipnt=  41: anal=   0.87660689   -0.02617966    2.00000000, ptrb=   0.87664483   -0.02638738    2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    2.00000000)
iface=   7, ipnt=  42: anal=   0.75183818   -0.04494637    2.00000000, ptrb=   0.75188254   -0.04531288    2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    2.00000000)
iface=   7, ipnt=  43: anal=   0.62614955   -0.05623324    2.00000000, ptrb=   0.62617765   -0.05669931    2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    2.00000000)
...too many errors to list
iface=   8, ipnt=  17: anal=   0.12339311   -0.02617966    2.00000000, ptrb=   0.12335517   -0.02638738    2.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    2.00000000)
iface=   8, ipnt=  18: anal=   0.24816182   -0.04494637    2.00000000, ptrb=   0.24811746   -0.04531288    2.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    2.00000000)
iface=   8, ipnt=  19: anal=   0.37385045   -0.05623324    2.00000000, ptrb=   0.37382235   -0.05669931    2.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    2.00000000)
iface=   8, ipnt=  20: anal=   0.50000000   -0.05999998    2.00000000, ptrb=   0.50000000   -0.06049998    2.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    2.00000000)
iface=   8, ipnt=  21: anal=   0.62614955   -0.05623324    2.00000000, ptrb=   0.62617765   -0.05669931    2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    2.00000000)
iface=   8, ipnt=  22: anal=   0.75183818   -0.04494637    2.00000000, ptrb=   0.75188254   -0.04531288    2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    2.00000000)
iface=   8, ipnt=  23: anal=   0.87660689   -0.02617966    2.00000000, ptrb=   0.87664483   -0.02638738    2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    2.00000000)
iface=   8, ipnt=  41: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
iface=   8, ipnt=  42: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iface=   8, ipnt=  43: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      952 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   7: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iedge=   4, ipnt=   1: anal=   0.87660689    0.02617966   -2.00000000, ptrb=   0.87664483    0.02638738   -2.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -2.00000000)
iedge=   4, ipnt=   2: anal=   0.75183818    0.04494637   -2.00000000, ptrb=   0.75188254    0.04531288   -2.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -2.00000000)
iedge=   4, ipnt=   3: anal=   0.62614955    0.05623324   -2.00000000, ptrb=   0.62617765    0.05669931   -2.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -2.00000000)
iedge=   4, ipnt=   4: anal=   0.50000000    0.05999998   -2.00000000, ptrb=   0.50000000    0.06049998   -2.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -2.00000000)
iedge=   4, ipnt=   5: anal=   0.37385045    0.05623324   -2.00000000, ptrb=   0.37382235    0.05669931   -2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -2.00000000)
iedge=   4, ipnt=   6: anal=   0.24816182    0.04494637   -2.00000000, ptrb=   0.24811746    0.04531288   -2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -2.00000000)
iedge=   4, ipnt=   7: anal=   0.12339311    0.02617966   -2.00000000, ptrb=   0.12335517    0.02638738   -2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -2.00000000)
iedge=   7, ipnt=   1: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iedge=   7, ipnt=   2: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iedge=   7, ipnt=   3: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   7, ipnt=   4: anal=   0.50000000    0.05999998   -0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iedge=   7, ipnt=   5: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iedge=   7, ipnt=   6: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iedge=   7, ipnt=   7: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iedge=  10, ipnt=   1: anal=   0.87660689    0.02617966    2.00000000, ptrb=   0.87664483    0.02638738    2.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    2.00000000)
iedge=  10, ipnt=   2: anal=   0.75183818    0.04494637    2.00000000, ptrb=   0.75188254    0.04531288    2.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    2.00000000)
iedge=  10, ipnt=   3: anal=   0.62614955    0.05623324    2.00000000, ptrb=   0.62617765    0.05669931    2.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    2.00000000)
iedge=  10, ipnt=   4: anal=   0.50000000    0.05999998    2.00000000, ptrb=   0.50000000    0.06049998    2.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    2.00000000)
iedge=  10, ipnt=   5: anal=   0.37385045    0.05623324    2.00000000, ptrb=   0.37382235    0.05669931    2.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    2.00000000)
iedge=  10, ipnt=   6: anal=   0.24816182    0.04494637    2.00000000, ptrb=   0.24811746    0.04531288    2.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    2.00000000)
iedge=  10, ipnt=   7: anal=   0.12339311    0.02617966    2.00000000, ptrb=   0.12335517    0.02638738    2.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    2.00000000)
iedge=  13, ipnt=   1: anal=   0.87660684    0.02617966    4.00000000, ptrb=   0.87664478    0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    4.00000000)
iedge=  13, ipnt=   2: anal=   0.75183819    0.04494637    4.00000000, ptrb=   0.75188255    0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    4.00000000)
iedge=  13, ipnt=   3: anal=   0.62614955    0.05623324    4.00000000, ptrb=   0.62617765    0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    4.00000000)
iedge=  13, ipnt=   4: anal=   0.50000000    0.05999998    4.00000000, ptrb=   0.50000000    0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    4.00000000)
iedge=  13, ipnt=   5: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
iedge=  13, ipnt=   6: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iedge=  13, ipnt=   7: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iedge=  14, ipnt=   1: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iedge=  14, ipnt=   2: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iedge=  14, ipnt=   3: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iedge=  14, ipnt=   4: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iedge=  14, ipnt=   5: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iedge=  14, ipnt=   6: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iedge=  14, ipnt=   7: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iedge=  15, ipnt=   1: anal=   0.12339311   -0.02617966   -2.00000000, ptrb=   0.12335517   -0.02638738   -2.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -2.00000000)
iedge=  15, ipnt=   2: anal=   0.24816182   -0.04494637   -2.00000000, ptrb=   0.24811746   -0.04531288   -2.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -2.00000000)
iedge=  15, ipnt=   3: anal=   0.37385045   -0.05623324   -2.00000000, ptrb=   0.37382235   -0.05669931   -2.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -2.00000000)
iedge=  15, ipnt=   4: anal=   0.50000000   -0.05999998   -2.00000000, ptrb=   0.50000000   -0.06049998   -2.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -2.00000000)
iedge=  15, ipnt=   5: anal=   0.62614955   -0.05623324   -2.00000000, ptrb=   0.62617765   -0.05669931   -2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -2.00000000)
iedge=  15, ipnt=   6: anal=   0.75183818   -0.04494637   -2.00000000, ptrb=   0.75188254   -0.04531288   -2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -2.00000000)
iedge=  15, ipnt=   7: anal=   0.87660689   -0.02617966   -2.00000000, ptrb=   0.87664483   -0.02638738   -2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -2.00000000)
iedge=  16, ipnt=   1: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iedge=  16, ipnt=   2: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iedge=  16, ipnt=   3: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=  16, ipnt=   4: anal=   0.50000000   -0.05999998    0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iedge=  16, ipnt=   5: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iedge=  16, ipnt=   6: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iedge=  16, ipnt=   7: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iedge=  17, ipnt=   1: anal=   0.12339311   -0.02617966    2.00000000, ptrb=   0.12335517   -0.02638738    2.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    2.00000000)
iedge=  17, ipnt=   2: anal=   0.24816182   -0.04494637    2.00000000, ptrb=   0.24811746   -0.04531288    2.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    2.00000000)
iedge=  17, ipnt=   3: anal=   0.37385045   -0.05623324    2.00000000, ptrb=   0.37382235   -0.05669931    2.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    2.00000000)
iedge=  17, ipnt=   4: anal=   0.50000000   -0.05999998    2.00000000, ptrb=   0.50000000   -0.06049998    2.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    2.00000000)
iedge=  17, ipnt=   5: anal=   0.62614955   -0.05623324    2.00000000, ptrb=   0.62617765   -0.05669931    2.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    2.00000000)
iedge=  17, ipnt=   6: anal=   0.75183818   -0.04494637    2.00000000, ptrb=   0.75188254   -0.04531288    2.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    2.00000000)
iedge=  17, ipnt=   7: anal=   0.87660689   -0.02617966    2.00000000, ptrb=   0.87664483   -0.02638738    2.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    2.00000000)
iedge=  18, ipnt=   1: anal=   0.12339311   -0.02617966    4.00000000, ptrb=   0.12335517   -0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    4.00000000)
iedge=  18, ipnt=   2: anal=   0.24816182   -0.04494637    4.00000000, ptrb=   0.24811746   -0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    4.00000000)
iedge=  18, ipnt=   3: anal=   0.37385045   -0.05623324    4.00000000, ptrb=   0.37382235   -0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    4.00000000)
iedge=  18, ipnt=   4: anal=   0.50000000   -0.05999998    4.00000000, ptrb=   0.50000000   -0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    4.00000000)
iedge=  18, ipnt=   5: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
iedge=  18, ipnt=   6: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iedge=  18, ipnt=   7: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
    d(Edge)/d(thickness) check complete with       70 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00005582    0.00022968   -2.00200000, dist=   0.00201392 (at    1.00000000    0.00000000   -2.00000000)
iface=   1, ipnt=  16: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582    0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   1, ipnt=  40: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  16: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00005582    0.00022968   -2.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -2.00000000)
iface=   3, ipnt=   0: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00005582    0.00022968    2.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    2.00000000)
iface=   3, ipnt=  16: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582    0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00005582    0.00022968    2.00200000, dist=   0.00201392 (at    1.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  24: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  24: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582   -0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=  40: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00005582   -0.00022968   -2.00200000, dist=   0.00201392 (at    1.00000000    0.00000000   -2.00000000)
iface=   6, ipnt=  24: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00005582   -0.00022968   -2.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -2.00000000)
iface=   6, ipnt=  40: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   7, ipnt=  24: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   7, ipnt=  40: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00005582   -0.00022968    2.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  16: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  24: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00005582   -0.00022968    2.00200000, dist=   0.00201392 (at    1.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  40: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582   -0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   9, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   9, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=  10, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=  10, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(croot) check complete with       24 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00100000    0.00000000   -2.00000000, ptrb=   1.00100000    0.00000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -2.00000000)
iedge=   3, ipnt=  16: anal=  -0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00100000    0.00000000    2.00000000, ptrb=   1.00100000    0.00000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    2.00000000)
iedge=  12, ipnt=   0: anal=  -0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Edge)/d(croot) check complete with        4 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000   -4.00400000)
inode=   2:            anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00100000    0.00000000   -2.00200000, dist=   0.00223607 (at    1.00100000    0.00000000   -2.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00200000)
inode=   5:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=   7:            anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00100000    0.00000000    2.00200000, dist=   0.00223607 (at    1.00100000    0.00000000    2.00200000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   9:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000    4.00400000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(croot) check complete with        9 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -2.00000000)
iface=   1, ipnt=  40: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  24: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  40: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -2.00000000)
iface=   8, ipnt=  16: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  24: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    2.00000000)
iface=   9, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   9, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=  10, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=  10, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(aspect) check complete with       12 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -2.00000000)
iedge=   3, ipnt=  16: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    2.00000000)
iedge=  12, ipnt=   0: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
    d(Edge)/d(aspect) check complete with        4 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00400000)
inode=   2:            anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -2.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00200000)
inode=   7:            anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    2.00200000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   9:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00400000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(aspect) check complete with        8 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00002818    0.00011483   -2.00100000, dist=   0.00100697 (at    1.00000000    0.00000000   -2.00000000)
iface=   1, ipnt=  16: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579    0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   1, ipnt=  40: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iface=   2, ipnt=  16: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00002793    0.00011483   -1.99999999, dist=   0.00011818 (at    1.00000000    0.00000000   -2.00000000)
iface=   3, ipnt=   0: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00002793    0.00011483    1.99999999, dist=   0.00011818 (at    1.00000000    0.00000000    2.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579    0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00002818    0.00011483    2.00100000, dist=   0.00100697 (at    1.00000000    0.00000000    2.00000000)
iface=   4, ipnt=  24: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  24: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579   -0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=  40: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00002818   -0.00011483   -2.00100000, dist=   0.00100697 (at    1.00000000    0.00000000   -2.00000000)
iface=   6, ipnt=  24: anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00002793   -0.00011483   -1.99999999, dist=   0.00011818 (at    1.00000000    0.00000000   -2.00000000)
iface=   7, ipnt=  40: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00002793   -0.00011483    1.99999999, dist=   0.00011818 (at    1.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  16: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  24: anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00002818   -0.00011483    2.00100000, dist=   0.00100697 (at    1.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  40: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579   -0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   9, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   9, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -4.00000000)
iface=  10, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    4.00000000)
iface=  10, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(taper) check complete with       20 total errors (errmax=  2.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00050000    0.00000000   -2.00000000, ptrb=   1.00050000    0.00000000   -2.00100000, dist=   0.00100000 (at    1.00000000    0.00000000   -2.00000000)
iedge=   3, ipnt=  16: anal=  -0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00050000    0.00000000    2.00000000, ptrb=   1.00050000    0.00000000    2.00100000, dist=   0.00100000 (at    1.00000000    0.00000000    2.00000000)
iedge=  12, ipnt=   0: anal=  -0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
    d(Edge)/d(taper) check complete with        4 total errors (errmax=  1.0000e-03)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000   -4.00200000)
inode=   2:            anal=   1.00000000    0.00000000   -2.00000000, ptrb=   1.00050000    0.00000000   -2.00100000, dist=   0.00111803 (at    1.00050000    0.00000000   -2.00100000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00100000)
inode=   7:            anal=   1.00000000    0.00000000    2.00000000, ptrb=   1.00050000    0.00000000    2.00100000, dist=   0.00111803 (at    1.00050000    0.00000000    2.00100000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00100000)
inode=   9:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000    4.00200000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
    d(Node)/d(taper) check complete with        8 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1295e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.7831e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.6517e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.990 sec

Sensitivity checks complete with     1115 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "thickness" for ibody=27
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9006e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8958e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "camber" for ibody=27
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "croot" for ibody=27
    d(Face)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "aspect" for ibody=27
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.2624e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "taper" for ibody=27
    d(Face)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "twist" for ibody=27
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5122e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "lesweep" for ibody=27
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.3442e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  8.4024e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "dihedral" for ibody=27
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.3707e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.4625e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.0660e-13)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      5.513 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.9006e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD4c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4584e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.1583e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00001945    0.00139876   -2.00200000, dist=   0.00200490 (at    1.00000000    0.00126000   -2.00000000)
iface=   1, ipnt=  16: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001945    0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000   -4.00000000)
iface=   1, ipnt=  93: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   2, ipnt=  16: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00001945    0.00139876   -2.00000000, dist=   0.00014011 (at    1.00000000    0.00126000   -2.00000000)
iface=   3, ipnt=   0: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00001945    0.00139876    2.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    2.00000000)
iface=   3, ipnt=  16: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001945    0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00001945    0.00139876    2.00200000, dist=   0.00200490 (at    1.00000000    0.00126000    2.00000000)
iface=   4, ipnt=  29: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  77: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001945   -0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  93: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00001945   -0.00139876   -2.00200000, dist=   0.00200490 (at    1.00000000   -0.00126000   -2.00000000)
iface=   6, ipnt=  77: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00001945   -0.00139876   -2.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000   -2.00000000)
iface=   6, ipnt=  93: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   7, ipnt=  77: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   7, ipnt=  93: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00001945   -0.00139876    2.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    2.00000000)
iface=   8, ipnt=  64: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  77: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00001945   -0.00139876    2.00200000, dist=   0.00200490 (at    1.00000000   -0.00126000    2.00000000)
iface=   8, ipnt=  93: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001945   -0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00100000   -0.00126000   -2.00200000, dist=   0.00223607 (at    1.00000000   -0.00126000   -2.00000000)
iface=   9, ipnt=  16: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000   -4.00000000)
iface=   9, ipnt=  33: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00100000    0.00126000   -2.00200000, dist=   0.00223607 (at    1.00000000    0.00126000   -2.00000000)
iface=  10, ipnt=   0: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=  10, ipnt=  16: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00100000   -0.00126000   -2.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000   -2.00000000)
iface=  10, ipnt=  17: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00100000    0.00126000   -2.00000000, dist=   0.00100000 (at    1.00000000    0.00126000   -2.00000000)
iface=  10, ipnt=  33: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=  11, ipnt=   0: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00100000   -0.00126000    2.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    2.00000000)
iface=  11, ipnt=  16: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=  11, ipnt=  17: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=  11, ipnt=  33: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00100000    0.00126000    2.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    2.00000000)
iface=  12, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    4.00000000)
iface=  12, ipnt=  16: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00100000   -0.00126000    2.00200000, dist=   0.00223607 (at    1.00000000   -0.00126000    2.00000000)
iface=  12, ipnt=  17: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00100000    0.00126000    2.00200000, dist=   0.00223607 (at    1.00000000    0.00126000    2.00000000)
iface=  12, ipnt=  33: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    4.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=  13, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=  13, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=  14, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=  14, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=  14, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(croot) check complete with       42 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00100000    0.00126126   -2.00000000, ptrb=   1.00100000    0.00126126   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -2.00000000)
iedge=   3, ipnt=  64: anal=  -0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00100000    0.00126126    2.00000000, ptrb=   1.00100000    0.00126126    2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    2.00000000)
iedge=  12, ipnt=   0: anal=  -0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00100000   -0.00126126   -2.00000000, ptrb=   1.00100000   -0.00126126   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00100000   -0.00126126    2.00000000, ptrb=   1.00100000   -0.00126126    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    2.00000000)
    d(Edge)/d(croot) check complete with        6 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126   -4.00400000)
inode=   2:            anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00100000    0.00126126   -2.00200000, dist=   0.00223607 (at    1.00100000    0.00126126   -2.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00200000)
inode=   5:            anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000    0.00126126    0.00000000)
inode=   7:            anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00100000    0.00126126    2.00200000, dist=   0.00223607 (at    1.00100000    0.00126126    2.00200000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   9:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126    4.00400000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=  11:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126   -4.00400000)
inode=  12:            anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00100000   -0.00126126   -2.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126   -2.00200000)
inode=  13:            anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000   -0.00126126    0.00000000)
inode=  14:            anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00100000   -0.00126126    2.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126    2.00200000)
inode=  15:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126    4.00400000)
    d(Node)/d(croot) check complete with       14 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00000000    0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -2.00000000)
iface=   1, ipnt=  93: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00000000    0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    2.00000000)
iface=   4, ipnt=  29: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  93: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00000000   -0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -2.00000000)
iface=   8, ipnt=  64: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  77: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00000000   -0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    2.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00000000   -0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -2.00000000)
iface=   9, ipnt=  33: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00000000    0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -2.00000000)
iface=  12, ipnt=  16: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00000000   -0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    2.00000000)
iface=  12, ipnt=  17: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00000000    0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    2.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=  -0.00000000   -0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=  13, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=  13, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=  14, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=  14, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=  -0.00000000   -0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=  14, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(aspect) check complete with       18 total errors (errmax=  4.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00000000    0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -2.00000000)
iedge=   3, ipnt=  64: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00000000    0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    2.00000000)
iedge=  12, ipnt=   0: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00000000   -0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00000000   -0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    2.00000000)
    d(Edge)/d(aspect) check complete with        6 total errors (errmax=  2.0000e-03)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00400000)
inode=   2:            anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00000000    0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -2.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -2.00200000)
inode=   7:            anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00000000    0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    2.00200000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    2.00200000)
inode=   9:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00400000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=  11:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00400000)
inode=  12:            anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00000000   -0.00126000   -2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -2.00200000)
inode=  14:            anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00000000   -0.00126000    2.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    2.00200000)
inode=  15:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00400000)
    d(Node)/d(aspect) check complete with       12 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00000994    0.00132936   -2.00100000, dist=   0.00100245 (at    1.00000000    0.00126000   -2.00000000)
iface=   1, ipnt=  16: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001944    0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000   -4.00000000)
iface=   1, ipnt=  93: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iface=   4, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001944    0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000    4.00000000)
iface=   4, ipnt=  16: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00000994    0.00132936    2.00100000, dist=   0.00100245 (at    1.00000000    0.00126000    2.00000000)
iface=   4, ipnt=  29: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iface=   5, ipnt=  77: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001944   -0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  93: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00000994   -0.00132936   -2.00100000, dist=   0.00100245 (at    1.00000000   -0.00126000   -2.00000000)
iface=   8, ipnt=  64: anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
iface=   8, ipnt=  77: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00000994   -0.00132936    2.00100000, dist=   0.00100245 (at    1.00000000   -0.00126000    2.00000000)
iface=   8, ipnt=  93: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001944   -0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00050000   -0.00126000   -2.00100000, dist=   0.00111803 (at    1.00000000   -0.00126000   -2.00000000)
iface=   9, ipnt=  16: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00099950   -0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00099950    0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000   -4.00000000)
iface=   9, ipnt=  33: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00050000    0.00126000   -2.00100000, dist=   0.00111803 (at    1.00000000    0.00126000   -2.00000000)
iface=  10, ipnt=  16: anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00049975   -0.00126000   -1.99999988, dist=   0.00049975 (at    1.00000000   -0.00126000   -2.00000000)
iface=  10, ipnt=  17: anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00049975    0.00126000   -1.99999988, dist=   0.00049975 (at    1.00000000    0.00126000   -2.00000000)
iface=  11, ipnt=   0: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00049975   -0.00126000    1.99999988, dist=   0.00049975 (at    1.00000000   -0.00126000    2.00000000)
iface=  11, ipnt=  33: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00049975    0.00126000    1.99999988, dist=   0.00049975 (at    1.00000000    0.00126000    2.00000000)
iface=  12, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00099950   -0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000    4.00000000)
iface=  12, ipnt=  16: anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00050000   -0.00126000    2.00100000, dist=   0.00111803 (at    1.00000000   -0.00126000    2.00000000)
iface=  12, ipnt=  17: anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00050000    0.00126000    2.00100000, dist=   0.00111803 (at    1.00000000    0.00126000    2.00000000)
iface=  12, ipnt=  33: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00099950    0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000    4.00000000)
iface=  13, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=  13, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -4.00000000)
iface=  13, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -4.00000000)
iface=  14, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    4.00000000)
iface=  14, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
iface=  14, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(taper) check complete with       30 total errors (errmax=  2.0000e-03)
iedge=   1, ipnt=  16: anal=   1.00050000    0.00126063   -2.00000000, ptrb=   1.00050000    0.00126063   -2.00100000, dist=   0.00100000 (at    1.00000000    0.00126000   -2.00000000)
iedge=   3, ipnt=  64: anal=  -0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00000000)
iedge=  11, ipnt=   0: anal=   1.00050000    0.00126063    2.00000000, ptrb=   1.00050000    0.00126063    2.00100000, dist=   0.00100000 (at    1.00000000    0.00126000    2.00000000)
iedge=  12, ipnt=   0: anal=  -0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00000000)
iedge=  15, ipnt=  16: anal=   1.00050000   -0.00126063   -2.00000000, ptrb=   1.00050000   -0.00126063   -2.00100000, dist=   0.00100000 (at    1.00000000   -0.00126000   -2.00000000)
iedge=  21, ipnt=   0: anal=   1.00050000   -0.00126063    2.00000000, ptrb=   1.00050000   -0.00126063    2.00100000, dist=   0.00100000 (at    1.00000000   -0.00126000    2.00000000)
    d(Edge)/d(taper) check complete with        6 total errors (errmax=  1.0000e-03)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126   -4.00200000)
inode=   2:            anal=   1.00000000    0.00126000   -2.00000000, ptrb=   1.00050000    0.00126063   -2.00100000, dist=   0.00111803 (at    1.00050000    0.00126063   -2.00100000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   4:            anal=   0.00000000    0.00000000   -2.00000000, ptrb=   0.00000000    0.00000000   -2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000   -2.00100000)
inode=   7:            anal=   1.00000000    0.00126000    2.00000000, ptrb=   1.00050000    0.00126063    2.00100000, dist=   0.00111803 (at    1.00050000    0.00126063    2.00100000)
inode=   8:            anal=   0.00000000    0.00000000    2.00000000, ptrb=   0.00000000    0.00000000    2.00100000, dist=   0.00100000 (at    0.00000000    0.00000000    2.00100000)
inode=   9:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126    4.00200000)
inode=  10:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
inode=  11:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126   -4.00200000)
inode=  12:            anal=   1.00000000   -0.00126000   -2.00000000, ptrb=   1.00050000   -0.00126063   -2.00100000, dist=   0.00111803 (at    1.00050000   -0.00126063   -2.00100000)
inode=  14:            anal=   1.00000000   -0.00126000    2.00000000, ptrb=   1.00050000   -0.00126063    2.00100000, dist=   0.00111803 (at    1.00050000   -0.00126063    2.00100000)
inode=  15:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126    4.00200000)
    d(Node)/d(taper) check complete with       12 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9114e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
Computing distances of perturbed points from perturbed configuration for ibody=27
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      5.889 sec

Sensitivity checks complete with      146 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "thickness" for ibody=20
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.8256e-11)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4378e-11)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  5.0004e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "camber" for ibody=20
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3878e-11)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "croot" for ibody=20
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "aspect" for ibody=20
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "taper" for ibody=20
    d(Face)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "twist" for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.1197e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1132e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "lesweep" for ibody=20
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "dihedral" for ibody=20
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.0817e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5392e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.5142e-12)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "rottip" for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  5.5998e-10)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  5.5998e-10)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.1102e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.379 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.5998e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   1, ipnt=  32: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  40: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   1, ipnt=  72: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    4.00000000)
iface=   2, ipnt=  32: anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  40: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    0.00000000)
iface=   2, ipnt=  72: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06000000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   5, ipnt=  32: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  40: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000   -4.00000000)
iface=   5, ipnt=  72: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    4.00000000)
iface=   6, ipnt=  32: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06000000    0.00000000)
iface=   6, ipnt=  40: anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    0.00000000)
iface=   6, ipnt=  72: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06000000    4.00000000)
    d(Face)/d(thickness) check complete with       16 total errors (errmax=  5.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.5776e-16)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000   -4.00000000)
inode=   2:            anal=   0.00000000   -0.06000000    0.00000000, ptrb=   0.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    0.00000000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000   -4.00000000)
inode=   4:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00000000   -0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    0.00000000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000   -0.06050000    4.00000000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000   -0.06050000    4.00000000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000   -4.00000000)
inode=   8:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    0.00000000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    1.00000000    0.06050000    4.00000000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06050000   -4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000   -4.00000000)
inode=  11:            anal=   0.00000000    0.06000000    0.00000000, ptrb=   0.00000000    0.06050000    0.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    0.00000000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06050000    4.00000000, dist=   0.00050000 (at    0.00000000    0.06050000    4.00000000)
    d(Node)/d(thickness) check complete with       12 total errors (errmax=  5.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.1632e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   3, ipnt=   0: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   3, ipnt=  32: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   3, ipnt=  33: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06000000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000   -4.00000000)
iface=   3, ipnt=  65: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   4, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    4.00000000)
iface=   4, ipnt=  32: anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.06000000    0.00000000)
iface=   4, ipnt=  33: anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06000000    0.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    0.00000000)
iface=   4, ipnt=  65: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06000000    4.00000000, dist=   0.00100000 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(croot) check complete with       16 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  1.3508e-15)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000   -4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000   -4.00400000)
inode=   4:            anal=   1.00000000   -0.06000000    0.00000000, ptrb=   1.00100000   -0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000   -0.06006000    0.00000000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000   -0.06006000    4.00400000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000   -0.06006000    4.00400000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000   -4.00400000)
inode=   8:            anal=   1.00000000    0.06000000    0.00000000, ptrb=   1.00100000    0.06006000    0.00000000, dist=   0.00100180 (at    1.00100000    0.06006000    0.00000000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00400000, dist=   0.00412354 (at    1.00100000    0.06006000    4.00400000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000   -4.00400000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00400000, dist=   0.00400045 (at    0.00000000    0.06006000    4.00400000)
    d(Node)/d(croot) check complete with       10 total errors (errmax=  4.1235e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=  -0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=  -0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(aspect) check complete with        8 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3508e-15)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000   -4.00400000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000   -4.00400000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000   -0.06000000    4.00400000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.06000000    4.00400000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000   -4.00400000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.06000000    4.00400000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000   -4.00400000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.06000000    4.00400000)
    d(Node)/d(aspect) check complete with        8 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   3, ipnt=  32: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00099950   -0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000   -4.00000000)
iface=   3, ipnt=  33: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00099950    0.06000000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000   -4.00000000)
iface=   4, ipnt=   0: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00099950   -0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.06000000    4.00000000)
iface=   4, ipnt=  65: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00099950    0.06000000    3.99999975, dist=   0.00099950 (at    1.00000000    0.06000000    4.00000000)
iface=   9, ipnt=   0: anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   8: anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000   -4.00000000)
iface=   9, ipnt=   9: anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000   -4.00000000)
iface=   9, ipnt=  17: anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00000000    0.06000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000   -4.00000000)
iface=  10, ipnt=   0: anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000   -0.06000000    4.00000000)
iface=  10, ipnt=   1: anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.06000000    4.00000000)
iface=  10, ipnt=   9: anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00000000    0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.06000000    4.00000000)
iface=  10, ipnt=  10: anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00000000   -0.06000000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.06000000    4.00000000)
    d(Face)/d(taper) check complete with       12 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  5.0065e-07)
inode=   1:            anal=   0.00000000   -0.06000000   -4.00000000, ptrb=   0.00000000   -0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000   -4.00200000)
inode=   3:            anal=   1.00000000   -0.06000000   -4.00000000, ptrb=   1.00100000   -0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000   -4.00200000)
inode=   5:            anal=   0.00000000   -0.06000000    4.00000000, ptrb=   0.00000000   -0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000   -0.06006000    4.00200000)
inode=   6:            anal=   1.00000000   -0.06000000    4.00000000, ptrb=   1.00100000   -0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000   -0.06006000    4.00200000)
inode=   7:            anal=   1.00000000    0.06000000   -4.00000000, ptrb=   1.00100000    0.06006000   -4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000   -4.00200000)
inode=   9:            anal=   1.00000000    0.06000000    4.00000000, ptrb=   1.00100000    0.06006000    4.00200000, dist=   0.00223687 (at    1.00100000    0.06006000    4.00200000)
inode=  10:            anal=   0.00000000    0.06000000   -4.00000000, ptrb=   0.00000000    0.06006000   -4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000   -4.00200000)
inode=  12:            anal=   0.00000000    0.06000000    4.00000000, ptrb=   0.00000000    0.06006000    4.00200000, dist=   0.00200090 (at    0.00000000    0.06006000    4.00200000)
    d(Node)/d(taper) check complete with        8 total errors (errmax=  2.2369e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7485e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.449 sec

Sensitivity checks complete with       90 total errors (max tessel err=  4.1235e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thickness" for ibody=17
iface=   1, ipnt=  33 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  33 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  34 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  35 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  36 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  37 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  35 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  36 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iface=   2, ipnt=  37 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  37 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   3, ipnt=  33 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  33 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  34 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  35 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  36 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iface=   3, ipnt=  37 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   4, ipnt=  33 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  33 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  34 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  35 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  36 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iface=   4, ipnt=  37 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with     1716 total errors (errmax=  5.0000e-01)
iedge=   2, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    0.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   4 (Y): anal=  -0.00000000,  fd=   0.49999951,  err=  -0.49999951 (at    0.50000000    0.05999998    4.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=   8, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998   -4.00000000)
iedge=   8, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    0.00000000)
iedge=   9, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   1 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   2 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   3 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.49999951,  err=   0.49999951 (at    0.50000000   -0.05999998    4.00000000)
iedge=  10, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with       78 total errors (errmax=  5.0000e-01)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber" for ibody=17
iface=   1, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iface=   2, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iface=   2, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iface=   3, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iface=   3, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iface=   4, ipnt=  33 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  33 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  34 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  35 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  37 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iface=   4, ipnt=  38 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with     1584 total errors (errmax=  1.3511e-02)
iedge=   2, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637   -4.00000000)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    0.00000000)
iedge=   4, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    0.00000000)
...too many errors to list
iedge=   7, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555004,  err=  -0.00333373 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126908 (at    0.24820644    0.04494637    4.00000000)
iedge=   7, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.24820644    0.04494637    4.00000000)
...too many errors to list
iedge=   8, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637   -4.00000000)
iedge=   8, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637   -4.00000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    0.00000000)
iedge=   9, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    0.00000000)
...too many errors to list
iedge=  10, ipnt=   1 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   1 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   2 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   3 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (X): anal=  -0.05573253,  fd=  -0.05593184,  err=   0.00019931 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6 (X): anal=  -0.08798378,  fd=  -0.08925286,  err=   0.00126907 (at    0.75179356   -0.04494637    4.00000000)
iedge=  10, ipnt=   6 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.75179356   -0.04494637    4.00000000)
...too many errors to list
    d(Edge)/d(camber) check complete with       72 total errors (errmax=  1.3511e-02)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2188e-15)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "croot" for ibody=17
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.9196e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  3.2907e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "aspect" for ibody=17
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  8.1829e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "taper" for ibody=17
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9195e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  2.7956e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "twist" for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  9.1966e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "lesweep" for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.7512e-11)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dihedral" for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9357e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.8959e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  1.3878e-17)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "rottip" for ibody=17
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.0757e-09)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  3.7677e-08)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.1102e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.677 sec

Sensitivity checks complete with     3450 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=  33: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iface=   1, ipnt=  34: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iface=   1, ipnt=  35: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iface=   1, ipnt=  36: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iface=   1, ipnt=  37: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iface=   1, ipnt=  38: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iface=   1, ipnt=  39: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iface=   1, ipnt=  73: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   1, ipnt=  74: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   1, ipnt=  75: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931   -0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
...too many errors to list
iface=   2, ipnt=  33: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iface=   2, ipnt=  34: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iface=   2, ipnt=  35: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iface=   2, ipnt=  36: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iface=   2, ipnt=  37: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iface=   2, ipnt=  38: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iface=   2, ipnt=  39: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iface=   2, ipnt=  73: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iface=   2, ipnt=  74: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iface=   2, ipnt=  75: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
...too many errors to list
iface=   3, ipnt=  33: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iface=   3, ipnt=  34: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iface=   3, ipnt=  35: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iface=   3, ipnt=  36: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iface=   3, ipnt=  37: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iface=   3, ipnt=  38: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iface=   3, ipnt=  39: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iface=   3, ipnt=  73: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   3, ipnt=  74: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   3, ipnt=  75: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931   -0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
...too many errors to list
iface=   4, ipnt=  33: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iface=   4, ipnt=  34: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iface=   4, ipnt=  35: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iface=   4, ipnt=  36: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iface=   4, ipnt=  37: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iface=   4, ipnt=  38: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iface=   4, ipnt=  39: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iface=   4, ipnt=  73: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
iface=   4, ipnt=  74: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iface=   4, ipnt=  75: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      924 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   0.87660689    0.02617966   -4.00000000, ptrb=   0.87664483    0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966   -4.00000000)
iedge=   2, ipnt=   2: anal=   0.75183818    0.04494637   -4.00000000, ptrb=   0.75188254    0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637   -4.00000000)
iedge=   2, ipnt=   3: anal=   0.62614955    0.05623324   -4.00000000, ptrb=   0.62617765    0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324   -4.00000000)
iedge=   2, ipnt=   4: anal=   0.50000000    0.05999998   -4.00000000, ptrb=   0.50000000    0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998   -4.00000000)
iedge=   2, ipnt=   5: anal=   0.37385045    0.05623324   -4.00000000, ptrb=   0.37382235    0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324   -4.00000000)
iedge=   2, ipnt=   6: anal=   0.24816182    0.04494637   -4.00000000, ptrb=   0.24811746    0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637   -4.00000000)
iedge=   2, ipnt=   7: anal=   0.12339311    0.02617966   -4.00000000, ptrb=   0.12335517    0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966   -4.00000000)
iedge=   4, ipnt=   1: anal=   0.87660689    0.02617966    0.00000000, ptrb=   0.87664483    0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   2: anal=   0.75183818    0.04494637    0.00000000, ptrb=   0.75188254    0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   3: anal=   0.62614955    0.05623324   -0.00000000, ptrb=   0.62617765    0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   4: anal=   0.50000000    0.05999998    0.00000000, ptrb=   0.50000000    0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    0.00000000)
iedge=   4, ipnt=   5: anal=   0.37385045    0.05623324    0.00000000, ptrb=   0.37382235    0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    0.00000000)
iedge=   4, ipnt=   6: anal=   0.24816182    0.04494637   -0.00000000, ptrb=   0.24811746    0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    0.00000000)
iedge=   4, ipnt=   7: anal=   0.12339311    0.02617966   -0.00000000, ptrb=   0.12335517    0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    0.00000000)
iedge=   7, ipnt=   1: anal=   0.87660684    0.02617966    4.00000000, ptrb=   0.87664478    0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797    0.02617966    4.00000000)
iedge=   7, ipnt=   2: anal=   0.75183819    0.04494637    4.00000000, ptrb=   0.75188255    0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356    0.04494637    4.00000000)
iedge=   7, ipnt=   3: anal=   0.62614955    0.05623324    4.00000000, ptrb=   0.62617765    0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158    0.05623324    4.00000000)
iedge=   7, ipnt=   4: anal=   0.50000000    0.05999998    4.00000000, ptrb=   0.50000000    0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000    0.05999998    4.00000000)
iedge=   7, ipnt=   5: anal=   0.37385045    0.05623324    4.00000000, ptrb=   0.37382235    0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842    0.05623324    4.00000000)
iedge=   7, ipnt=   6: anal=   0.24816181    0.04494637    4.00000000, ptrb=   0.24811745    0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644    0.04494637    4.00000000)
iedge=   7, ipnt=   7: anal=   0.12339316    0.02617966    4.00000000, ptrb=   0.12335522    0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203    0.02617966    4.00000000)
iedge=   8, ipnt=   1: anal=   0.12339311   -0.02617966   -4.00000000, ptrb=   0.12335517   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966   -4.00000000)
iedge=   8, ipnt=   2: anal=   0.24816182   -0.04494637   -4.00000000, ptrb=   0.24811746   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637   -4.00000000)
iedge=   8, ipnt=   3: anal=   0.37385045   -0.05623324   -4.00000000, ptrb=   0.37382235   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324   -4.00000000)
iedge=   8, ipnt=   4: anal=   0.50000000   -0.05999998   -4.00000000, ptrb=   0.50000000   -0.06049998   -4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998   -4.00000000)
iedge=   8, ipnt=   5: anal=   0.62614955   -0.05623324   -4.00000000, ptrb=   0.62617765   -0.05669931   -4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324   -4.00000000)
iedge=   8, ipnt=   6: anal=   0.75183818   -0.04494637   -4.00000000, ptrb=   0.75188254   -0.04531288   -4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637   -4.00000000)
iedge=   8, ipnt=   7: anal=   0.87660689   -0.02617966   -4.00000000, ptrb=   0.87664483   -0.02638738   -4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966   -4.00000000)
iedge=   9, ipnt=   1: anal=   0.12339311   -0.02617966   -0.00000000, ptrb=   0.12335517   -0.02638738    0.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   2: anal=   0.24816182   -0.04494637   -0.00000000, ptrb=   0.24811746   -0.04531288    0.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   3: anal=   0.37385045   -0.05623324    0.00000000, ptrb=   0.37382235   -0.05669931    0.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   4: anal=   0.50000000   -0.05999998   -0.00000000, ptrb=   0.50000000   -0.06049998    0.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    0.00000000)
iedge=   9, ipnt=   5: anal=   0.62614955   -0.05623324   -0.00000000, ptrb=   0.62617765   -0.05669931    0.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    0.00000000)
iedge=   9, ipnt=   6: anal=   0.75183818   -0.04494637    0.00000000, ptrb=   0.75188254   -0.04531288    0.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    0.00000000)
iedge=   9, ipnt=   7: anal=   0.87660689   -0.02617966    0.00000000, ptrb=   0.87664483   -0.02638738    0.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    0.00000000)
iedge=  10, ipnt=   1: anal=   0.12339311   -0.02617966    4.00000000, ptrb=   0.12335517   -0.02638738    4.00000000, dist=   0.00021116 (at    0.12343203   -0.02617966    4.00000000)
iedge=  10, ipnt=   2: anal=   0.24816182   -0.04494637    4.00000000, ptrb=   0.24811746   -0.04531288    4.00000000, dist=   0.00036918 (at    0.24820644   -0.04494637    4.00000000)
iedge=  10, ipnt=   3: anal=   0.37385045   -0.05623324    4.00000000, ptrb=   0.37382235   -0.05669931    4.00000000, dist=   0.00046692 (at    0.37387842   -0.05623324    4.00000000)
iedge=  10, ipnt=   4: anal=   0.50000000   -0.05999998    4.00000000, ptrb=   0.50000000   -0.06049998    4.00000000, dist=   0.00050000 (at    0.50000000   -0.05999998    4.00000000)
iedge=  10, ipnt=   5: anal=   0.62614955   -0.05623324    4.00000000, ptrb=   0.62617765   -0.05669931    4.00000000, dist=   0.00046692 (at    0.62612158   -0.05623324    4.00000000)
iedge=  10, ipnt=   6: anal=   0.75183818   -0.04494637    4.00000000, ptrb=   0.75188254   -0.04531288    4.00000000, dist=   0.00036918 (at    0.75179356   -0.04494637    4.00000000)
iedge=  10, ipnt=   7: anal=   0.87660689   -0.02617966    4.00000000, ptrb=   0.87664483   -0.02638738    4.00000000, dist=   0.00021116 (at    0.87656797   -0.02617966    4.00000000)
    d(Edge)/d(thickness) check complete with       42 total errors (errmax=  5.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3899e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   1, ipnt=  32: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582    0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582    0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   2, ipnt=  32: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582    0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  40: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005582   -0.00022968   -4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000   -4.00000000)
iface=   3, ipnt=  72: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  40: anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00005582   -0.00022968    0.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  72: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005582   -0.00022968    4.00000000, dist=   0.00023637 (at    1.00000000    0.00000000    4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(croot) check complete with       12 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  2.2316e-07)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000   -4.00400000)
inode=   2:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00400000, dist=   0.00412311 (at    1.00100000    0.00000000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(croot) check complete with        5 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3506e-15)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000   -4.00400000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00000000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=  32: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579    0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579    0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   3, ipnt=  40: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00005579   -0.00022957   -3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000   -4.00000000)
iface=   4, ipnt=  72: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00005579   -0.00022957    3.99999999, dist=   0.00023625 (at    1.00000000    0.00000000    4.00000000)
iface=   5, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   5, ipnt=   8: anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00000000    4.00000000)
iface=   6, ipnt=   8: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   1:            anal=   1.00000000    0.00000000   -4.00000000, ptrb=   1.00100000    0.00000000   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000   -4.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   5:            anal=   1.00000000    0.00000000    4.00000000, ptrb=   1.00100000    0.00000000    4.00200000, dist=   0.00223607 (at    1.00100000    0.00000000    4.00200000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1295e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.7831e-05)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.6517e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.755 sec

Sensitivity checks complete with     1003 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thickness" for ibody=17
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9007e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8958e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0568e-13)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber" for ibody=17
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  7.0000e-09)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "croot" for ibody=17
    d(Face)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "aspect" for ibody=17
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.7065e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.7065e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "taper" for ibody=17
    d(Face)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8825e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "twist" for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.2169e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5122e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "lesweep" for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.9369e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  5.3997e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dihedral" for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.3625e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5334e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.6360e-15)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "rottip" for ibody=17
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.2737e-09)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.8371e-07)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.5122e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.390 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.9007e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD5c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.4584e-06)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.0500e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  4.1583e-06)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  4.2000e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   1, ipnt=  32: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001945    0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001945    0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    4.00000000)
iface=   2, ipnt=  32: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00001945    0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000    0.00126000    0.00000000)
iface=   3, ipnt= 141: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001945   -0.00139876   -4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000   -4.00000000)
iface=   3, ipnt= 173: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   4, ipnt= 141: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00001945   -0.00139876    0.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    0.00000000)
iface=   4, ipnt= 173: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001945   -0.00139876    4.00000000, dist=   0.00014011 (at    1.00000000   -0.00126000    4.00000000)
iface=   5, ipnt=   0: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   5, ipnt=  32: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126000   -4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000   -4.00000000)
iface=   5, ipnt=  65: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    4.00000000)
iface=   6, ipnt=  32: anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000   -0.00126000    0.00000000)
iface=   6, ipnt=  33: anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126000    0.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    0.00000000)
iface=   6, ipnt=  65: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126000    4.00000000, dist=   0.00100000 (at    1.00000000    0.00126000    4.00000000)
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(croot) check complete with       22 total errors (errmax=  4.0000e-03)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.1397e-08)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126   -4.00400000)
inode=   2:            anal=   1.00000000    0.00126000    0.00000000, ptrb=   1.00100000    0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000    0.00126126    0.00000000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000    0.00126126    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126   -4.00400000)
inode=   8:            anal=   1.00000000   -0.00126000    0.00000000, ptrb=   1.00100000   -0.00126126    0.00000000, dist=   0.00100000 (at    1.00100000   -0.00126126    0.00000000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00400000, dist=   0.00412311 (at    1.00100000   -0.00126126    4.00400000)
    d(Node)/d(croot) check complete with        8 total errors (errmax=  4.1231e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=  -0.00000000   -0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=  -0.00000000   -0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(aspect) check complete with        6 total errors (errmax=  4.0000e-03)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.3506e-15)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000   -4.00400000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000   -4.00400000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000    0.00126000    4.00400000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00400000, dist=   0.00400000 (at    0.00000000    0.00000000    4.00400000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000   -4.00400000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00400000, dist=   0.00400000 (at    1.00000000   -0.00126000    4.00400000)
    d(Node)/d(aspect) check complete with        6 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=  32: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00001944    0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000   -4.00000000)
iface=   2, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00001944    0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000    0.00126000    4.00000000)
iface=   3, ipnt= 141: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00001944   -0.00139869   -4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000   -4.00000000)
iface=   4, ipnt= 173: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00001944   -0.00139869    4.00000000, dist=   0.00014004 (at    1.00000000   -0.00126000    4.00000000)
iface=   5, ipnt=  32: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00099950   -0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000   -4.00000000)
iface=   5, ipnt=  33: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00099950    0.00126000   -3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000   -4.00000000)
iface=   6, ipnt=   0: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00099950   -0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000   -0.00126000    4.00000000)
iface=   6, ipnt=  65: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00099950    0.00126000    3.99999975, dist=   0.00099950 (at    1.00000000    0.00126000    4.00000000)
iface=   7, ipnt=   0: anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00000000)
iface=   7, ipnt=  13: anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00000000   -0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000   -4.00000000)
iface=   7, ipnt=  14: anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00000000    0.00126000   -4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000   -4.00000000)
iface=   8, ipnt=   0: anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00000000    0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000    0.00126000    4.00000000)
iface=   8, ipnt=  13: anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00000000)
iface=   8, ipnt=  26: anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00000000   -0.00126000    4.00200000, dist=   0.00200000 (at    1.00000000   -0.00126000    4.00000000)
    d(Face)/d(taper) check complete with       14 total errors (errmax=  2.0000e-03)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  4.9975e-07)
inode=   1:            anal=   1.00000000    0.00126000   -4.00000000, ptrb=   1.00100000    0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126   -4.00200000)
inode=   3:            anal=   0.00000000    0.00000000   -4.00000000, ptrb=   0.00000000    0.00000000   -4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000   -4.00200000)
inode=   5:            anal=   1.00000000    0.00126000    4.00000000, ptrb=   1.00100000    0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000    0.00126126    4.00200000)
inode=   6:            anal=   0.00000000    0.00000000    4.00000000, ptrb=   0.00000000    0.00000000    4.00200000, dist=   0.00200000 (at    0.00000000    0.00000000    4.00200000)
inode=   7:            anal=   1.00000000   -0.00126000   -4.00000000, ptrb=   1.00100000   -0.00126126   -4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126   -4.00200000)
inode=   9:            anal=   1.00000000   -0.00126000    4.00000000, ptrb=   1.00100000   -0.00126126    4.00200000, dist=   0.00223607 (at    1.00100000   -0.00126126    4.00200000)
    d(Node)/d(taper) check complete with        6 total errors (errmax=  2.2361e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.7453e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  6.9114e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  6.9813e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.7453e-05)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.652 sec

Sensitivity checks complete with       62 total errors (max tessel err=  4.1231e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "thickness" for ibody=27
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.4365e-10)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.2252e-10)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.1502e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "camber" for ibody=27
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.2934e-10)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "croot" for ibody=27
    d(Face)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "aspect" for ibody=27
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "taper" for ibody=27
    d(Face)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "twist" for ibody=27
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.5321e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.5324e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5519e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "lesweep" for ibody=27
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  4.4923e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  4.3353e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "dihedral" for ibody=27
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.5419e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5528e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "rottip" for ibody=27
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "xbase" for ibody=27
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  5.1879e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "ybase" for ibody=27
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.3880e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27

Comparing configuration sensitivities wrt "zbase" for ibody=27
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.453 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.5851e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=27
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.583 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "thickness" for ibody=24
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  1.3985e-10)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.2252e-10)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.1502e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "camber" for ibody=24
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.1024e-10)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "croot" for ibody=24
    d(Face)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "aspect" for ibody=24
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "taper" for ibody=24
    d(Face)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "twist" for ibody=24
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.7870e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.7875e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5519e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "lesweep" for ibody=24
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  5.9738e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  5.9745e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "dihedral" for ibody=24
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9165e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5528e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "rottip" for ibody=24
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "xbase" for ibody=24
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.9994e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "ybase" for ibody=24
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.3681e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24

Comparing configuration sensitivities wrt "zbase" for ibody=24
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.457 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.5851e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26655919    3.60000000, dist=   0.00040000 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26655919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.26695919   -3.60000000)
iface=   1, ipnt=  72: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26655919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.26695919   -3.60000000)
iface=   1, ipnt= 136: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26655919    3.60000000, dist=   0.00040000 (at    1.43477713    0.26695919    3.60000000)
iface=   3, ipnt=   0: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477309    0.36335638    3.59996658, dist=   0.00039861 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  66: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477310    0.36335638   -3.59996659, dist=   0.00039861 (at    1.43477713    0.36295919   -3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36335638   -3.59996659, dist=   0.00039859 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36335638    3.59996658, dist=   0.00039859 (at    0.63477713    0.36295919    3.60000000)
    d(Face)/d(thickness) check complete with        8 total errors (errmax=  4.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  3.5921e-05)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26655919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.26655919   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26655919    3.60000000, dist=   0.00040000 (at    0.63477713    0.26655919    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26655919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.26655919   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26655919    3.60000000, dist=   0.00040000 (at    1.43477713    0.26655919    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36335919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.36335919   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36335919    3.60000000, dist=   0.00040000 (at    1.43477713    0.36335919    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36335919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.36335919   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36335919    3.60000000, dist=   0.00040000 (at    0.63477713    0.36335919    3.60000000)
    d(Node)/d(thickness) check complete with        8 total errors (errmax=  4.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43576178    0.26695919    3.59988059, dist=   0.00099187 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43576275    0.26695919   -3.59988096, dist=   0.00099279 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43576275    0.36295919   -3.59988096, dist=   0.00099279 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43576178    0.36295919    3.59988059, dist=   0.00099187 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(croot) check complete with       12 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26722615   -3.60360000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26722615    3.60360000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43621191    0.26695919   -3.60360000, ptrb=   1.43621191    0.26722615   -3.60360000, dist=   0.00026696 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43621191    0.26695919    3.60360000, ptrb=   1.43621191    0.26722615    3.60360000, dist=   0.00026696 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36332215   -3.60360000, ptrb=   0.63541191    0.36332215   -3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36332215    3.60360000, ptrb=   0.63541191    0.36332215    3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63541191    0.26695919   -3.60360000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00026696 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63541191    0.26695919    3.60360000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00026696 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(croot) check complete with        8 total errors (errmax=  6.3478e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00366527 (at    0.63541191    0.26722615   -3.60360000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00366527 (at    0.63541191    0.26722615    3.60360000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43621191    0.26722615   -3.60360000, dist=   0.00388457 (at    1.43621191    0.26722615   -3.60360000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43621191    0.26722615    3.60360000, dist=   0.00388457 (at    1.43621191    0.26722615    3.60360000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43621191    0.36332215   -3.60360000, dist=   0.00389234 (at    1.43621191    0.36332215   -3.60360000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43621191    0.36332215    3.60360000, dist=   0.00389234 (at    1.43621191    0.36332215    3.60360000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63541191    0.36332215   -3.60360000, dist=   0.00367351 (at    0.63541191    0.36332215   -3.60360000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63541191    0.36332215    3.60360000, dist=   0.00367351 (at    0.63541191    0.36332215    3.60360000)
    d(Node)/d(croot) check complete with        8 total errors (errmax=  3.8923e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43497318    0.26695919    3.59997622, dist=   0.00019748 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43497406    0.26695919   -3.59997621, dist=   0.00019836 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43497406    0.36295919   -3.59997621, dist=   0.00019836 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43497318    0.36295919    3.59997622, dist=   0.00019748 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(aspect) check complete with       12 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26727415   -3.60360000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26727415    3.60360000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43541191    0.26695919   -3.60360000, ptrb=   1.43541191    0.26727415   -3.60360000, dist=   0.00031496 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43541191    0.26695919    3.60360000, ptrb=   1.43541191    0.26727415    3.60360000, dist=   0.00031496 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36327415   -3.60360000, ptrb=   0.63541191    0.36327415   -3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36327415    3.60360000, ptrb=   0.63541191    0.36327415    3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63541191    0.26695919   -3.60360000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63541191    0.26695919    3.60360000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00031496 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(aspect) check complete with        8 total errors (errmax=  6.3478e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.26727415   -3.60360000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00366908 (at    0.63541191    0.26727415    3.60360000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43541191    0.26727415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.26727415   -3.60360000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43541191    0.26727415    3.60360000, dist=   0.00366908 (at    1.43541191    0.26727415    3.60360000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43541191    0.36327415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.36327415   -3.60360000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43541191    0.36327415    3.60360000, dist=   0.00366908 (at    1.43541191    0.36327415    3.60360000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63541191    0.36327415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.36327415   -3.60360000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63541191    0.36327415    3.60360000, dist=   0.00366908 (at    0.63541191    0.36327415    3.60360000)
    d(Node)/d(aspect) check complete with        8 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43587124    0.26695919    3.59986721, dist=   0.00110214 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43587158    0.26695919   -3.59986748, dist=   0.00110244 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43587158    0.36295919   -3.59986748, dist=   0.00110244 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43587124    0.36295919    3.59986721, dist=   0.00110214 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60200000, dist=   0.00200000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60200000, dist=   0.00200000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60200000, dist=   0.00200000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60200000, dist=   0.00200000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(taper) check complete with       12 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26707417   -3.60200000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00035265 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26707417    3.60200000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00035265 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43612978    0.26695919   -3.60200000, ptrb=   1.43612978    0.26707417   -3.60200000, dist=   0.00011498 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43612978    0.26695919    3.60200000, ptrb=   1.43612978    0.26707417    3.60200000, dist=   0.00011498 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36319417   -3.60200000, ptrb=   0.63512978    0.36319417   -3.60200000, dist=   0.00035265 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36319417    3.60200000, ptrb=   0.63512978    0.36319417    3.60200000, dist=   0.00035265 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63512978    0.26695919   -3.60200000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00011498 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63512978    0.26695919    3.60200000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00011498 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(taper) check complete with        8 total errors (errmax=  3.5265e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00203411 (at    0.63512978    0.26707417   -3.60200000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00203411 (at    0.63512978    0.26707417    3.60200000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43612978    0.26707417   -3.60200000, dist=   0.00241721 (at    1.43612978    0.26707417   -3.60200000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43612978    0.26707417    3.60200000, dist=   0.00241721 (at    1.43612978    0.26707417    3.60200000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43612978    0.36319417   -3.60200000, dist=   0.00242588 (at    1.43612978    0.36319417   -3.60200000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43612978    0.36319417    3.60200000, dist=   0.00242588 (at    1.43612978    0.36319417    3.60200000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63512978    0.36319417   -3.60200000, dist=   0.00204440 (at    0.63512978    0.36319417   -3.60200000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63512978    0.36319417    3.60200000, dist=   0.00204440 (at    0.63512978    0.36319417    3.60200000)
    d(Node)/d(taper) check complete with        8 total errors (errmax=  2.4259e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3988e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3988e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.59999997, dist=   0.00064787 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.59999997, dist=   0.00064787 (at    0.63477713    0.26695919   -3.60000000)
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43541566    0.26695919    3.59992276, dist=   0.00064319 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43541566    0.26695919   -3.59992277, dist=   0.00064319 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43541566    0.36295269   -3.59992277, dist=   0.00064322 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43541566    0.36295269    3.59992276, dist=   0.00064322 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.59999997, dist=   0.00064787 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.59999997, dist=   0.00064787 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=   0: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63540543    0.36294985    3.59988909, dist=   0.00063808 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=  66: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63540543    0.36294986   -3.59988910, dist=   0.00063808 (at    0.63477713    0.36295919   -3.60000000)
iface=   4, ipnt=  67: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63540543    0.26695919   -3.59988910, dist=   0.00063801 (at    0.63477713    0.26695919   -3.60000000)
iface=   4, ipnt= 131: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63540543    0.26695919    3.59988909, dist=   0.00063801 (at    0.63477713    0.26695919    3.60000000)
    d(Face)/d(lesweep) check complete with       12 total errors (errmax=  6.4787e-04)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.60000000, dist=   0.00064787 (at    0.63477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.60000000, dist=   0.00064787 (at    0.63477713    0.36295919    3.60000000)
    d(Edge)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.26695919   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.60000000, dist=   0.00064787 (at    0.63542500    0.26695919    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43542500    0.26695919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.26695919   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43542500    0.26695919    3.60000000, dist=   0.00064787 (at    1.43542500    0.26695919    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43542500    0.36295919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.36295919   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43542500    0.36295919    3.60000000, dist=   0.00064787 (at    1.43542500    0.36295919    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.36295919   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.60000000, dist=   0.00064787 (at    0.63542500    0.36295919    3.60000000)
    d(Node)/d(lesweep) check complete with        8 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727316    3.59997146, dist=   0.00031527 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727316   -3.59997146, dist=   0.00031527 (at    0.63477713    0.26695919   -3.60000000)
iface=   1, ipnt=  72: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477368    0.26727316   -3.59997146, dist=   0.00031529 (at    1.43477713    0.26695919   -3.60000000)
iface=   1, ipnt= 136: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477368    0.26727316    3.59997146, dist=   0.00031529 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727575    3.59999999, dist=   0.00031657 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727575   -3.59999999, dist=   0.00031657 (at    1.43477713    0.26695919   -3.60000000)
iface=   3, ipnt=   0: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477393    0.36327352    3.59997352, dist=   0.00031547 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  66: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477393    0.36327352   -3.59997352, dist=   0.00031547 (at    1.43477713    0.36295919   -3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36327352   -3.59997352, dist=   0.00031545 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36327352    3.59997352, dist=   0.00031545 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=  67: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727575   -3.59999999, dist=   0.00031657 (at    0.63477713    0.26695919   -3.60000000)
iface=   4, ipnt= 131: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727575    3.59999999, dist=   0.00031657 (at    0.63477713    0.26695919    3.60000000)
    d(Face)/d(dihedral) check complete with       12 total errors (errmax=  3.1657e-04)
iedge=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727576    3.60000000, dist=   0.00031657 (at    1.43477713    0.26695919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727576    3.60000000, dist=   0.00031657 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.26727576   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727576    3.60000000, dist=   0.00031657 (at    0.63477713    0.26727576    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.26727576   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727576    3.60000000, dist=   0.00031657 (at    1.43477713    0.26727576    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36327576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.36327576   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36327576    3.60000000, dist=   0.00031657 (at    1.43477713    0.36327576    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36327576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.36327576   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36327576    3.60000000, dist=   0.00031657 (at    0.63477713    0.36327576    3.60000000)
    d(Node)/d(dihedral) check complete with        8 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3814e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  6.6613e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=24
Computing distances of perturbed points from perturbed configuration for ibody=24
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.581 sec

Sensitivity checks complete with      148 total errors (max tessel err=  3.8923e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "thickness" for ibody=21
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  2.1055e-10)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  1.3114e-10)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  1.1502e-11)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "camber" for ibody=21
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.0477e-10)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "croot" for ibody=21
    d(Face)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  5.6261e-10)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "aspect" for ibody=21
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "taper" for ibody=21
    d(Face)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  6.0862e-10)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "twist" for ibody=21
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.1814e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.1819e-10)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.5519e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "lesweep" for ibody=21
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  5.8269e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  5.6538e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "dihedral" for ibody=21
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.7540e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5528e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "rottip" for ibody=21
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  9.2569e-10)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "xbase" for ibody=21
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  5.1381e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "ybase" for ibody=21
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.1988e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21

Comparing configuration sensitivities wrt "zbase" for ibody=21
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.414 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.5851e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6a2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26655919    3.60000000, dist=   0.00040000 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26655919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.26695919   -3.60000000)
iface=   1, ipnt=  72: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26655919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.26695919   -3.60000000)
iface=   1, ipnt= 136: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26655919    3.60000000, dist=   0.00040000 (at    1.43477713    0.26695919    3.60000000)
iface=   3, ipnt=   0: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477309    0.36335638    3.59996658, dist=   0.00039861 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  66: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477309    0.36335638   -3.59996658, dist=   0.00039861 (at    1.43477713    0.36295919   -3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36335638   -3.59996658, dist=   0.00039859 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36335638    3.59996658, dist=   0.00039859 (at    0.63477713    0.36295919    3.60000000)
    d(Face)/d(thickness) check complete with        8 total errors (errmax=  4.0000e-04)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  3.5921e-05)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26655919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.26655919   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26655919    3.60000000, dist=   0.00040000 (at    0.63477713    0.26655919    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26655919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.26655919   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26655919    3.60000000, dist=   0.00040000 (at    1.43477713    0.26655919    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36335919   -3.60000000, dist=   0.00040000 (at    1.43477713    0.36335919   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36335919    3.60000000, dist=   0.00040000 (at    1.43477713    0.36335919    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36335919   -3.60000000, dist=   0.00040000 (at    0.63477713    0.36335919   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36335919    3.60000000, dist=   0.00040000 (at    0.63477713    0.36335919    3.60000000)
    d(Node)/d(thickness) check complete with        8 total errors (errmax=  4.0000e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(camber) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43576227    0.26695919    3.59988078, dist=   0.00099233 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43576227    0.26695919   -3.59988078, dist=   0.00099233 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43576227    0.36295919   -3.59988078, dist=   0.00099233 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43576227    0.36295919    3.59988078, dist=   0.00099233 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(croot) check complete with       12 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26722615   -3.60360000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26722615    3.60360000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43621191    0.26695919   -3.60360000, ptrb=   1.43621191    0.26722615   -3.60360000, dist=   0.00026696 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43621191    0.26695919    3.60360000, ptrb=   1.43621191    0.26722615    3.60360000, dist=   0.00026696 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36332215   -3.60360000, ptrb=   0.63541191    0.36332215   -3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36332215    3.60360000, ptrb=   0.63541191    0.36332215    3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63541191    0.26695919   -3.60360000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00026696 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63541191    0.26695919    3.60360000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00026696 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(croot) check complete with        8 total errors (errmax=  6.3478e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63541191    0.26722615   -3.60360000, dist=   0.00366527 (at    0.63541191    0.26722615   -3.60360000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63541191    0.26722615    3.60360000, dist=   0.00366527 (at    0.63541191    0.26722615    3.60360000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43621191    0.26722615   -3.60360000, dist=   0.00388457 (at    1.43621191    0.26722615   -3.60360000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43621191    0.26722615    3.60360000, dist=   0.00388457 (at    1.43621191    0.26722615    3.60360000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43621191    0.36332215   -3.60360000, dist=   0.00389234 (at    1.43621191    0.36332215   -3.60360000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43621191    0.36332215    3.60360000, dist=   0.00389234 (at    1.43621191    0.36332215    3.60360000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63541191    0.36332215   -3.60360000, dist=   0.00367351 (at    0.63541191    0.36332215   -3.60360000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63541191    0.36332215    3.60360000, dist=   0.00367351 (at    0.63541191    0.36332215    3.60360000)
    d(Node)/d(croot) check complete with        8 total errors (errmax=  3.8923e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43497362    0.26695919    3.59997621, dist=   0.00019792 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43497362    0.26695919   -3.59997621, dist=   0.00019792 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43497362    0.36295919   -3.59997621, dist=   0.00019792 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43497362    0.36295919    3.59997621, dist=   0.00019792 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60360000, dist=   0.00360000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60360000, dist=   0.00360000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60360000, dist=   0.00360000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60360000, dist=   0.00360000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(aspect) check complete with       12 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26727415   -3.60360000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26727415    3.60360000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00063478 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43541191    0.26695919   -3.60360000, ptrb=   1.43541191    0.26727415   -3.60360000, dist=   0.00031496 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43541191    0.26695919    3.60360000, ptrb=   1.43541191    0.26727415    3.60360000, dist=   0.00031496 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36327415   -3.60360000, ptrb=   0.63541191    0.36327415   -3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36327415    3.60360000, ptrb=   0.63541191    0.36327415    3.60360000, dist=   0.00063478 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63541191    0.26695919   -3.60360000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63541191    0.26695919    3.60360000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00031496 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(aspect) check complete with        8 total errors (errmax=  6.3478e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63541191    0.26727415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.26727415   -3.60360000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63541191    0.26727415    3.60360000, dist=   0.00366908 (at    0.63541191    0.26727415    3.60360000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43541191    0.26727415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.26727415   -3.60360000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43541191    0.26727415    3.60360000, dist=   0.00366908 (at    1.43541191    0.26727415    3.60360000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43541191    0.36327415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.36327415   -3.60360000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43541191    0.36327415    3.60360000, dist=   0.00366908 (at    1.43541191    0.36327415    3.60360000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63541191    0.36327415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.36327415   -3.60360000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63541191    0.36327415    3.60360000, dist=   0.00366908 (at    0.63541191    0.36327415    3.60360000)
    d(Node)/d(aspect) check complete with        8 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43587141    0.26695919    3.59986735, dist=   0.00110229 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43587141    0.26695919   -3.59986735, dist=   0.00110229 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43587141    0.36295919   -3.59986735, dist=   0.00110229 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43587141    0.36295919    3.59986735, dist=   0.00110229 (at    1.43477713    0.36295919    3.60000000)
iface=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26695919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.26695919   -3.60000000)
iface=   5, ipnt=   8: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26695919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.26695919   -3.60000000)
iface=   5, ipnt=   9: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36295919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.36295919   -3.60000000)
iface=   5, ipnt=  17: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36295919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.36295919   -3.60000000)
iface=   6, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26695919    3.60200000, dist=   0.00200000 (at    0.63477713    0.26695919    3.60000000)
iface=   6, ipnt=   1: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36295919    3.60200000, dist=   0.00200000 (at    0.63477713    0.36295919    3.60000000)
iface=   6, ipnt=   9: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36295919    3.60200000, dist=   0.00200000 (at    1.43477713    0.36295919    3.60000000)
iface=   6, ipnt=  10: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26695919    3.60200000, dist=   0.00200000 (at    1.43477713    0.26695919    3.60000000)
    d(Face)/d(taper) check complete with       12 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26707417   -3.60200000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00035265 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26707417    3.60200000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00035265 (at    0.63477713    0.26695919    3.60000000)
iedge=   5, ipnt=   0: anal=   1.43612978    0.26695919   -3.60200000, ptrb=   1.43612978    0.26707417   -3.60200000, dist=   0.00011498 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43612978    0.26695919    3.60200000, ptrb=   1.43612978    0.26707417    3.60200000, dist=   0.00011498 (at    1.43477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36319417   -3.60200000, ptrb=   0.63512978    0.36319417   -3.60200000, dist=   0.00035265 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36319417    3.60200000, ptrb=   0.63512978    0.36319417    3.60200000, dist=   0.00035265 (at    0.63477713    0.36295919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63512978    0.26695919   -3.60200000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00011498 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63512978    0.26695919    3.60200000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00011498 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(taper) check complete with        8 total errors (errmax=  3.5265e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63512978    0.26707417   -3.60200000, dist=   0.00203411 (at    0.63512978    0.26707417   -3.60200000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63512978    0.26707417    3.60200000, dist=   0.00203411 (at    0.63512978    0.26707417    3.60200000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43612978    0.26707417   -3.60200000, dist=   0.00241721 (at    1.43612978    0.26707417   -3.60200000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43612978    0.26707417    3.60200000, dist=   0.00241721 (at    1.43612978    0.26707417    3.60200000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43612978    0.36319417   -3.60200000, dist=   0.00242588 (at    1.43612978    0.36319417   -3.60200000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43612978    0.36319417    3.60200000, dist=   0.00242588 (at    1.43612978    0.36319417    3.60200000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63512978    0.36319417   -3.60200000, dist=   0.00204440 (at    0.63512978    0.36319417   -3.60200000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63512978    0.36319417    3.60200000, dist=   0.00204440 (at    0.63512978    0.36319417    3.60200000)
    d(Node)/d(taper) check complete with        8 total errors (errmax=  2.4259e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3988e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3988e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.59999997, dist=   0.00064787 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.59999997, dist=   0.00064787 (at    0.63477713    0.26695919   -3.60000000)
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43541566    0.26695919    3.59992277, dist=   0.00064319 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43541566    0.26695919   -3.59992277, dist=   0.00064319 (at    1.43477713    0.26695919   -3.60000000)
iface=   2, ipnt=  65: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43541566    0.36295269   -3.59992277, dist=   0.00064322 (at    1.43477713    0.36295919   -3.60000000)
iface=   2, ipnt= 131: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43541566    0.36295269    3.59992277, dist=   0.00064322 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.59999997, dist=   0.00064787 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.59999997, dist=   0.00064787 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=   0: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63540543    0.36294986    3.59988909, dist=   0.00063808 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=  66: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63540543    0.36294986   -3.59988909, dist=   0.00063808 (at    0.63477713    0.36295919   -3.60000000)
iface=   4, ipnt=  67: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63540543    0.26695919   -3.59988909, dist=   0.00063801 (at    0.63477713    0.26695919   -3.60000000)
iface=   4, ipnt= 131: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63540543    0.26695919    3.59988909, dist=   0.00063801 (at    0.63477713    0.26695919    3.60000000)
    d(Face)/d(lesweep) check complete with       12 total errors (errmax=  6.4787e-04)
iedge=   2, ipnt=   0: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.26695919   -3.60000000)
iedge=   4, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.60000000, dist=   0.00064787 (at    0.63477713    0.26695919    3.60000000)
iedge=   8, ipnt=   8: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.36295919   -3.60000000)
iedge=  10, ipnt=   8: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.60000000, dist=   0.00064787 (at    0.63477713    0.36295919    3.60000000)
    d(Edge)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63542500    0.26695919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.26695919   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63542500    0.26695919    3.60000000, dist=   0.00064787 (at    0.63542500    0.26695919    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43542500    0.26695919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.26695919   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43542500    0.26695919    3.60000000, dist=   0.00064787 (at    1.43542500    0.26695919    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43542500    0.36295919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.36295919   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43542500    0.36295919    3.60000000, dist=   0.00064787 (at    1.43542500    0.36295919    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63542500    0.36295919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.36295919   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63542500    0.36295919    3.60000000, dist=   0.00064787 (at    0.63542500    0.36295919    3.60000000)
    d(Node)/d(lesweep) check complete with        8 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
iface=   1, ipnt=   0: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727316    3.59997146, dist=   0.00031527 (at    0.63477713    0.26695919    3.60000000)
iface=   1, ipnt=  64: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727316   -3.59997146, dist=   0.00031527 (at    0.63477713    0.26695919   -3.60000000)
iface=   1, ipnt=  72: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477368    0.26727316   -3.59997146, dist=   0.00031529 (at    1.43477713    0.26695919   -3.60000000)
iface=   1, ipnt= 136: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477368    0.26727316    3.59997146, dist=   0.00031529 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727575    3.59999999, dist=   0.00031657 (at    1.43477713    0.26695919    3.60000000)
iface=   2, ipnt=  64: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727575   -3.59999999, dist=   0.00031657 (at    1.43477713    0.26695919   -3.60000000)
iface=   3, ipnt=   0: anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477393    0.36327352    3.59997352, dist=   0.00031547 (at    1.43477713    0.36295919    3.60000000)
iface=   3, ipnt=  66: anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477393    0.36327352   -3.59997352, dist=   0.00031547 (at    1.43477713    0.36295919   -3.60000000)
iface=   3, ipnt=  74: anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36327352   -3.59997352, dist=   0.00031545 (at    0.63477713    0.36295919   -3.60000000)
iface=   3, ipnt= 140: anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36327352    3.59997352, dist=   0.00031545 (at    0.63477713    0.36295919    3.60000000)
iface=   4, ipnt=  67: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727575   -3.59999999, dist=   0.00031657 (at    0.63477713    0.26695919   -3.60000000)
iface=   4, ipnt= 131: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727575    3.59999999, dist=   0.00031657 (at    0.63477713    0.26695919    3.60000000)
    d(Face)/d(dihedral) check complete with       12 total errors (errmax=  3.1657e-04)
iedge=   5, ipnt=   0: anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.26695919   -3.60000000)
iedge=   7, ipnt=   0: anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727576    3.60000000, dist=   0.00031657 (at    1.43477713    0.26695919    3.60000000)
iedge=  11, ipnt=   1: anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.26695919   -3.60000000)
iedge=  12, ipnt=   1: anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727576    3.60000000, dist=   0.00031657 (at    0.63477713    0.26695919    3.60000000)
    d(Edge)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
inode=   1:            anal=   0.63477713    0.26695919   -3.60000000, ptrb=   0.63477713    0.26727576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.26727576   -3.60000000)
inode=   2:            anal=   0.63477713    0.26695919    3.60000000, ptrb=   0.63477713    0.26727576    3.60000000, dist=   0.00031657 (at    0.63477713    0.26727576    3.60000000)
inode=   3:            anal=   1.43477713    0.26695919   -3.60000000, ptrb=   1.43477713    0.26727576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.26727576   -3.60000000)
inode=   4:            anal=   1.43477713    0.26695919    3.60000000, ptrb=   1.43477713    0.26727576    3.60000000, dist=   0.00031657 (at    1.43477713    0.26727576    3.60000000)
inode=   5:            anal=   1.43477713    0.36295919   -3.60000000, ptrb=   1.43477713    0.36327576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.36327576   -3.60000000)
inode=   6:            anal=   1.43477713    0.36295919    3.60000000, ptrb=   1.43477713    0.36327576    3.60000000, dist=   0.00031657 (at    1.43477713    0.36327576    3.60000000)
inode=   7:            anal=   0.63477713    0.36295919   -3.60000000, ptrb=   0.63477713    0.36327576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.36327576   -3.60000000)
inode=   8:            anal=   0.63477713    0.36295919    3.60000000, ptrb=   0.63477713    0.36327576    3.60000000, dist=   0.00031657 (at    0.63477713    0.36327576    3.60000000)
    d(Node)/d(dihedral) check complete with        8 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3814e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  4.9651e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=21
Computing distances of perturbed points from perturbed configuration for ibody=21
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.449 sec

Sensitivity checks complete with      148 total errors (max tessel err=  3.8923e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thickness" for ibody=22
iface=   1, ipnt=   3 (Y): anal=   0.00018285,  fd=   0.00000000,  err=   0.00018285 (at    1.01273761    0.00922732   -0.10546875)
iface=   1, ipnt=   4 (Y): anal=   0.00039761,  fd=   0.00000000,  err=   0.00039761 (at    1.02770430    0.02006942   -0.22939453)
iface=   1, ipnt=   5 (X): anal=   0.00016599,  fd=   0.00000000,  err=   0.00016599 (at    1.04755375    0.03444866   -0.39375000)
iface=   1, ipnt=   5 (Y): anal=   0.00068226,  fd=   0.00000000,  err=   0.00068226 (at    1.04755375    0.03444866   -0.39375000)
iface=   1, ipnt=   6 (X): anal=   0.00020625,  fd=   0.00000000,  err=   0.00020625 (at    1.05911048    0.04282053   -0.48944092)
iface=   1, ipnt=   6 (Y): anal=   0.00084792,  fd=   0.00000000,  err=   0.00084792 (at    1.05911048    0.04282053   -0.48944092)
iface=   1, ipnt=   7 (X): anal=   0.00024990,  fd=   0.00000000,  err=   0.00024990 (at    1.07164906    0.05190367   -0.59326172)
iface=   1, ipnt=   7 (Y): anal=   0.00102759,  fd=   0.00000000,  err=   0.00102759 (at    1.07164906    0.05190367   -0.59326172)
iface=   1, ipnt=   7 (Z): anal=   0.00012008,  fd=   0.00000000,  err=   0.00012008 (at    1.07164906    0.05190367   -0.59326172)
iface=   1, ipnt=   8 (X): anal=   0.00029666,  fd=   0.00000000,  err=   0.00029666 (at    1.08508990    0.06164042   -0.70455322)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=   0.00152017,  fd=   0.00000000,  err=   0.00152017 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=   0.00624283,  fd=   0.00000000,  err=   0.00624283 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=  -0.00072977,  fd=  -0.00000000,  err=  -0.00072977 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=   0.00146932,  fd=   0.00000000,  err=   0.00146932 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   1 (Y): anal=   0.00603817,  fd=   0.00000000,  err=   0.00603817 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   1 (Z): anal=  -0.00070572,  fd=  -0.00000000,  err=  -0.00070572 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   2 (X): anal=   0.00141618,  fd=   0.00000000,  err=   0.00141618 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   2 (Y): anal=   0.00582322,  fd=   0.00000000,  err=   0.00582322 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   2 (Z): anal=  -0.00068050,  fd=  -0.00000000,  err=  -0.00068050 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   3 (X): anal=   0.00136099,  fd=   0.00000000,  err=   0.00136099 (at    1.39055374    0.28292309    3.23382568)
...too many errors to list
iface=   3, ipnt=   3 (Y): anal=  -0.00018229,  fd=   0.00000000,  err=  -0.00018229 (at    0.01859699    0.00922732   -0.10546875)
iface=   3, ipnt=   4 (Y): anal=  -0.00039637,  fd=   0.00000000,  err=  -0.00039637 (at    0.04044845    0.02006942   -0.22939453)
iface=   3, ipnt=   5 (X): anal=  -0.00016547,  fd=   0.00000000,  err=  -0.00016547 (at    0.06942875    0.03444866   -0.39375000)
iface=   3, ipnt=   5 (Y): anal=  -0.00068014,  fd=   0.00000000,  err=  -0.00068014 (at    0.06942875    0.03444866   -0.39375000)
iface=   3, ipnt=   6 (X): anal=  -0.00020561,  fd=   0.00000000,  err=  -0.00020561 (at    0.08630164    0.04282053   -0.48944092)
iface=   3, ipnt=   6 (Y): anal=  -0.00084529,  fd=   0.00000000,  err=  -0.00084529 (at    0.08630164    0.04282053   -0.48944092)
iface=   3, ipnt=   6 (Z): anal=  -0.00011021,  fd=   0.00000000,  err=  -0.00011021 (at    0.08630164    0.04282053   -0.48944092)
iface=   3, ipnt=   7 (X): anal=  -0.00024912,  fd=   0.00000000,  err=  -0.00024912 (at    0.10460805    0.05190367   -0.59326172)
iface=   3, ipnt=   7 (Y): anal=  -0.00102441,  fd=   0.00000000,  err=  -0.00102441 (at    0.10460805    0.05190367   -0.59326172)
iface=   3, ipnt=   7 (Z): anal=  -0.00013355,  fd=   0.00000000,  err=  -0.00013355 (at    0.10460805    0.05190367   -0.59326172)
...too many errors to list
iface=   4, ipnt=   0 (X): anal=  -0.00151544,  fd=  -0.00000000,  err=  -0.00151544 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   0 (Y): anal=  -0.00622342,  fd=  -0.00000000,  err=  -0.00622342 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   0 (Z): anal=   0.00081169,  fd=   0.00000000,  err=   0.00081169 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   1 (X): anal=  -0.00146476,  fd=  -0.00000000,  err=  -0.00146476 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   1 (Y): anal=  -0.00601941,  fd=  -0.00000000,  err=  -0.00601941 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   1 (Z): anal=   0.00078491,  fd=   0.00000000,  err=   0.00078491 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   2 (X): anal=  -0.00141179,  fd=  -0.00000000,  err=  -0.00141179 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   2 (Y): anal=  -0.00580514,  fd=  -0.00000000,  err=  -0.00580514 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   2 (Z): anal=   0.00075682,  fd=   0.00000000,  err=   0.00075682 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   3 (X): anal=  -0.00135677,  fd=  -0.00000000,  err=  -0.00135677 (at    0.57021072    0.28292309    3.23382568)
...too many errors to list
    d(Face)/d(thickness) check complete with     3482 total errors (errmax=  5.0000e-01)
iedge=   1, ipnt=   0 (X): anal=   0.02711522,  fd=   0.00000000,  err=   0.02711522 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=  -0.00028433,  fd=   0.00000000,  err=  -0.00028433 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.00324987,  fd=   0.00000000,  err=   0.00324987 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=   0.02624222,  fd=   0.00000000,  err=   0.02624222 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   1 (Y): anal=  -0.00027517,  fd=   0.00000000,  err=  -0.00027517 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   1 (Z): anal=   0.00314524,  fd=   0.00000000,  err=   0.00314524 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   2 (X): anal=   0.02532122,  fd=   0.00000000,  err=   0.02532122 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   2 (Y): anal=  -0.00026552,  fd=   0.00000000,  err=  -0.00026552 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   2 (Z): anal=   0.00303485,  fd=   0.00000000,  err=   0.00303485 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   3 (X): anal=   0.02435719,  fd=   0.00000000,  err=   0.02435719 (at    1.39055374    0.28292309   -3.23382568)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.02668437,  fd=   0.00000000,  err=  -0.02668437 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.00040852,  fd=   0.00000000,  err=   0.00040852 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=  -0.00466943,  fd=   0.00000000,  err=  -0.00466943 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.02582523,  fd=   0.00000000,  err=  -0.02582523 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   1 (Y): anal=   0.00039537,  fd=   0.00000000,  err=   0.00039537 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   1 (Z): anal=  -0.00451910,  fd=   0.00000000,  err=  -0.00451910 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   2 (X): anal=  -0.02491887,  fd=   0.00000000,  err=  -0.02491887 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   2 (Y): anal=   0.00038149,  fd=   0.00000000,  err=   0.00038149 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   2 (Z): anal=  -0.00436049,  fd=   0.00000000,  err=  -0.00436049 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   3 (X): anal=  -0.02397016,  fd=   0.00000000,  err=  -0.02397016 (at    0.57021072    0.28292309   -3.23382568)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.00065073,  fd=   0.01338882,  err=  -0.01273810 (at    0.96929200    0.00723521    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00285721,  fd=   0.05878781,  err=  -0.05593060 (at    0.96929200    0.00723521    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.00103765,  fd=   0.02422570,  err=  -0.02318805 (at    0.93847941    0.01401123    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00489228,  fd=   0.11421911,  err=  -0.10932683 (at    0.93847941    0.01401123    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.00123590,  fd=   0.03887376,  err=  -0.03763786 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00682499,  fd=   0.21467220,  err=  -0.20784721 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.00063340,  fd=   0.04462643,  err=  -0.04399303 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00527831,  fd=   0.37188490,  err=  -0.36660659 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.00009960,  fd=   0.02796592,  err=  -0.02786632 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.00166597,  fd=   0.46777502,  err=  -0.46610905 (at    0.62612158    0.05623324    0.00000000)
...too many errors to list
iedge=   5, ipnt=   2 (X): anal=   0.00020522,  fd=   0.00000000,  err=   0.00020522 (at    1.00329055    0.00238372    0.02724609)
iedge=   5, ipnt=   3 (X): anal=   0.00079439,  fd=   0.00000000,  err=   0.00079439 (at    1.01273761    0.00922732    0.10546875)
iedge=   5, ipnt=   4 (X): anal=   0.00172780,  fd=   0.00000000,  err=   0.00172780 (at    1.02770430    0.02006942    0.22939453)
iedge=   5, ipnt=   4 (Z): anal=  -0.00020708,  fd=   0.00000000,  err=  -0.00020708 (at    1.02770430    0.02006942    0.22939453)
iedge=   5, ipnt=   5 (X): anal=   0.00296573,  fd=   0.00000000,  err=   0.00296573 (at    1.04755375    0.03444866    0.39375000)
iedge=   5, ipnt=   5 (Z): anal=  -0.00035545,  fd=   0.00000000,  err=  -0.00035545 (at    1.04755375    0.03444866    0.39375000)
iedge=   5, ipnt=   6 (X): anal=   0.00368647,  fd=   0.00000000,  err=   0.00368647 (at    1.05911048    0.04282053    0.48944092)
iedge=   5, ipnt=   6 (Z): anal=  -0.00044184,  fd=   0.00000000,  err=  -0.00044184 (at    1.05911048    0.04282053    0.48944092)
iedge=   5, ipnt=   7 (X): anal=   0.00446845,  fd=   0.00000000,  err=   0.00446845 (at    1.07164906    0.05190367    0.59326172)
iedge=   5, ipnt=   7 (Z): anal=  -0.00053556,  fd=   0.00000000,  err=  -0.00053556 (at    1.07164906    0.05190367    0.59326172)
...too many errors to list
iedge=   6, ipnt=   2 (X): anal=  -0.00020196,  fd=   0.00000000,  err=  -0.00020196 (at    0.00480422    0.00238372    0.02724609)
iedge=   6, ipnt=   3 (X): anal=  -0.00078177,  fd=   0.00000000,  err=  -0.00078177 (at    0.01859699    0.00922732    0.10546875)
iedge=   6, ipnt=   3 (Z): anal=   0.00013680,  fd=   0.00000000,  err=   0.00013680 (at    0.01859699    0.00922732    0.10546875)
iedge=   6, ipnt=   4 (X): anal=  -0.00170035,  fd=   0.00000000,  err=  -0.00170035 (at    0.04044845    0.02006942    0.22939453)
iedge=   6, ipnt=   4 (Z): anal=   0.00029754,  fd=   0.00000000,  err=   0.00029754 (at    0.04044845    0.02006942    0.22939453)
iedge=   6, ipnt=   5 (X): anal=  -0.00291860,  fd=   0.00000000,  err=  -0.00291860 (at    0.06942875    0.03444866    0.39375000)
iedge=   6, ipnt=   5 (Z): anal=   0.00051072,  fd=   0.00000000,  err=   0.00051072 (at    0.06942875    0.03444866    0.39375000)
iedge=   6, ipnt=   6 (X): anal=  -0.00362789,  fd=   0.00000000,  err=  -0.00362789 (at    0.08630164    0.04282053    0.48944092)
iedge=   6, ipnt=   6 (Z): anal=   0.00063484,  fd=   0.00000000,  err=   0.00063484 (at    0.08630164    0.04282053    0.48944092)
iedge=   6, ipnt=   7 (X): anal=  -0.00439745,  fd=   0.00000000,  err=  -0.00439745 (at    0.10460805    0.05190367    0.59326172)
...too many errors to list
iedge=   7, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919    3.60000000)
iedge=   7, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919    3.60000000)
iedge=   7, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291    3.60000000)
iedge=   7, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291    3.60000000)
iedge=   7, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629    3.60000000)
iedge=   7, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629    3.60000000)
iedge=   7, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578    3.60000000)
iedge=   7, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578    3.60000000)
iedge=   7, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917    3.60000000)
iedge=   7, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   8, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919   -3.60000000)
iedge=   8, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919   -3.60000000)
iedge=   8, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546   -3.60000000)
iedge=   8, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546   -3.60000000)
iedge=   8, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209   -3.60000000)
iedge=   8, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209   -3.60000000)
iedge=   8, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260   -3.60000000)
iedge=   8, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260   -3.60000000)
iedge=   8, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920   -3.60000000)
iedge=   8, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=  -0.00065073,  fd=  -0.01338882,  err=   0.01273810 (at    0.03070800   -0.00723521    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=  -0.00285721,  fd=  -0.05878781,  err=   0.05593060 (at    0.03070800   -0.00723521    0.00000000)
iedge=   9, ipnt=   2 (X): anal=  -0.00103765,  fd=  -0.02422570,  err=   0.02318805 (at    0.06152059   -0.01401123    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=  -0.00489228,  fd=  -0.11421911,  err=   0.10932683 (at    0.06152059   -0.01401123    0.00000000)
iedge=   9, ipnt=   3 (X): anal=  -0.00123590,  fd=  -0.03887376,  err=   0.03763786 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=  -0.00682499,  fd=  -0.21467220,  err=   0.20784721 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   4 (X): anal=  -0.00063340,  fd=  -0.04462643,  err=   0.04399303 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   4 (Y): anal=  -0.00527831,  fd=  -0.37188490,  err=   0.36660659 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   5 (X): anal=  -0.00009960,  fd=  -0.02796592,  err=   0.02786632 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=  -0.00166597,  fd=  -0.46777502,  err=   0.46610905 (at    0.37387842   -0.05623324    0.00000000)
...too many errors to list
iedge=  10, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919    3.60000000)
iedge=  10, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919    3.60000000)
iedge=  10, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546    3.60000000)
iedge=  10, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546    3.60000000)
iedge=  10, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209    3.60000000)
iedge=  10, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209    3.60000000)
iedge=  10, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260    3.60000000)
iedge=  10, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260    3.60000000)
iedge=  10, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920    3.60000000)
iedge=  10, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      402 total errors (errmax=  5.0000e-01)
inode=   1, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919   -3.60000000)
inode=   3, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919   -3.60000000)
inode=   5, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919    3.60000000)
inode=   6, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(thickness) check complete with        4 total errors (errmax=  2.7508e-02)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "camber" for ibody=22
iface=   1, ipnt=   1 (X): anal=   0.00012453,  fd=   0.00000000,  err=   0.00012453 (at    1.00083591    0.00060554   -0.00692139)
iface=   1, ipnt=   1 (Y): anal=   0.00051142,  fd=   0.00000000,  err=   0.00051142 (at    1.00083591    0.00060554   -0.00692139)
iface=   1, ipnt=   2 (X): anal=   0.00049020,  fd=   0.00000000,  err=   0.00049020 (at    1.00329055    0.00238372   -0.02724609)
iface=   1, ipnt=   2 (Y): anal=   0.00201322,  fd=   0.00000000,  err=   0.00201322 (at    1.00329055    0.00238372   -0.02724609)
iface=   1, ipnt=   2 (Z): anal=   0.00023534,  fd=   0.00000000,  err=   0.00023534 (at    1.00329055    0.00238372   -0.02724609)
iface=   1, ipnt=   3 (X): anal=   0.00189723,  fd=   0.00000000,  err=   0.00189723 (at    1.01273761    0.00922732   -0.10546875)
iface=   1, ipnt=   3 (Y): anal=   0.00779330,  fd=   0.00000000,  err=   0.00779330 (at    1.01273761    0.00922732   -0.10546875)
iface=   1, ipnt=   3 (Z): anal=   0.00091096,  fd=   0.00000000,  err=   0.00091096 (at    1.01273761    0.00922732   -0.10546875)
iface=   1, ipnt=   4 (X): anal=   0.00412542,  fd=   0.00000000,  err=   0.00412542 (at    1.02770430    0.02006942   -0.22939453)
iface=   1, ipnt=   4 (Y): anal=   0.01695099,  fd=   0.00000000,  err=   0.01695099 (at    1.02770430    0.02006942   -0.22939453)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=   0.06477349,  fd=   0.00000000,  err=   0.06477349 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=   0.26600314,  fd=   0.00000000,  err=   0.26600314 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=  -0.03109505,  fd=  -0.00000000,  err=  -0.03109505 (at    1.43477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=   0.06265001,  fd=   0.00000000,  err=   0.06265001 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   1 (Y): anal=   0.25745956,  fd=   0.00000000,  err=   0.25745956 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   1 (Z): anal=  -0.03009112,  fd=  -0.00000000,  err=  -0.03009112 (at    1.42077903    0.30481875    3.48409424)
iface=   2, ipnt=   2 (X): anal=   0.06041978,  fd=   0.00000000,  err=   0.06041978 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   2 (Y): anal=   0.24844085,  fd=   0.00000000,  err=   0.24844085 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   2 (Z): anal=  -0.02903274,  fd=  -0.00000000,  err=  -0.02903274 (at    1.40601136    0.29412082    3.36181641)
iface=   2, ipnt=   3 (X): anal=   0.05809394,  fd=   0.00000000,  err=   0.05809394 (at    1.39055374    0.28292309    3.23382568)
...too many errors to list
iface=   3, ipnt=   1 (X): anal=   0.00012414,  fd=   0.00000000,  err=   0.00012414 (at    0.00122043    0.00060554   -0.00692139)
iface=   3, ipnt=   1 (Y): anal=   0.00050983,  fd=   0.00000000,  err=   0.00050983 (at    0.00122043    0.00060554   -0.00692139)
iface=   3, ipnt=   2 (X): anal=   0.00048868,  fd=   0.00000000,  err=   0.00048868 (at    0.00480422    0.00238372   -0.02724609)
iface=   3, ipnt=   2 (Y): anal=   0.00200697,  fd=   0.00000000,  err=   0.00200697 (at    0.00480422    0.00238372   -0.02724609)
iface=   3, ipnt=   2 (Z): anal=   0.00026175,  fd=   0.00000000,  err=   0.00026175 (at    0.00480422    0.00238372   -0.02724609)
iface=   3, ipnt=   3 (X): anal=   0.00189133,  fd=   0.00000000,  err=   0.00189133 (at    0.01859699    0.00922732   -0.10546875)
iface=   3, ipnt=   3 (Y): anal=   0.00776908,  fd=   0.00000000,  err=   0.00776908 (at    0.01859699    0.00922732   -0.10546875)
iface=   3, ipnt=   3 (Z): anal=   0.00101320,  fd=   0.00000000,  err=   0.00101320 (at    0.01859699    0.00922732   -0.10546875)
iface=   3, ipnt=   4 (X): anal=   0.00411260,  fd=   0.00000000,  err=   0.00411260 (at    0.04044845    0.02006942   -0.22939453)
iface=   3, ipnt=   4 (Y): anal=   0.01689833,  fd=   0.00000000,  err=   0.01689833 (at    0.04044845    0.02006942   -0.22939453)
...too many errors to list
iface=   4, ipnt=   0 (X): anal=   0.06457214,  fd=  -0.00000000,  err=   0.06457214 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   0 (Y): anal=   0.26517624,  fd=  -0.00000000,  err=   0.26517624 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   0 (Z): anal=  -0.03458572,  fd=   0.00000000,  err=  -0.03458572 (at    0.63477713    0.31495919    3.60000000)
iface=   4, ipnt=   1 (X): anal=   0.06245541,  fd=  -0.00000000,  err=   0.06245541 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   1 (Y): anal=   0.25665987,  fd=  -0.00000000,  err=   0.25665987 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   1 (Z): anal=  -0.03346740,  fd=   0.00000000,  err=  -0.03346740 (at    0.61433982    0.30481875    3.48409424)
iface=   4, ipnt=   2 (X): anal=   0.06023224,  fd=  -0.00000000,  err=   0.06023224 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   2 (Y): anal=   0.24766970,  fd=  -0.00000000,  err=   0.24766970 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   2 (Z): anal=  -0.03228886,  fd=   0.00000000,  err=  -0.03228886 (at    0.59277894    0.29412082    3.36181641)
iface=   4, ipnt=   3 (X): anal=   0.05791372,  fd=  -0.00000000,  err=   0.05791372 (at    0.57021072    0.28292309    3.23382568)
...too many errors to list
    d(Face)/d(camber) check complete with     3156 total errors (errmax=  2.6893e-01)
iedge=   1, ipnt=   0 (X): anal=  -0.00295008,  fd=   0.00000000,  err=  -0.00295008 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=   0.28327375,  fd=   0.00000000,  err=   0.28327375 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.02442696,  fd=   0.00000000,  err=   0.02442696 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=  -0.00285510,  fd=   0.00000000,  err=  -0.00285510 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   1 (Y): anal=   0.27415346,  fd=   0.00000000,  err=   0.27415346 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   1 (Z): anal=   0.02364051,  fd=   0.00000000,  err=   0.02364051 (at    1.42077903    0.30481875   -3.48409424)
iedge=   1, ipnt=   2 (X): anal=  -0.00275489,  fd=   0.00000000,  err=  -0.00275489 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   2 (Y): anal=   0.26453176,  fd=   0.00000000,  err=   0.26453176 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   2 (Z): anal=   0.02281082,  fd=   0.00000000,  err=   0.02281082 (at    1.40601136    0.29412082   -3.36181641)
iedge=   1, ipnt=   3 (X): anal=  -0.00265001,  fd=   0.00000000,  err=  -0.00265001 (at    1.39055374    0.28292309   -3.23382568)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.00423869,  fd=   0.00000000,  err=  -0.00423869 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.28330771,  fd=   0.00000000,  err=   0.28330771 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=   0.02403882,  fd=   0.00000000,  err=   0.02403882 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.00410222,  fd=   0.00000000,  err=  -0.00410222 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   1 (Y): anal=   0.27418632,  fd=   0.00000000,  err=   0.27418632 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   1 (Z): anal=   0.02326486,  fd=   0.00000000,  err=   0.02326486 (at    0.61433982    0.30481875   -3.48409424)
iedge=   3, ipnt=   2 (X): anal=  -0.00395825,  fd=   0.00000000,  err=  -0.00395825 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   2 (Y): anal=   0.26456347,  fd=   0.00000000,  err=   0.26456347 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   2 (Z): anal=   0.02244836,  fd=   0.00000000,  err=   0.02244836 (at    0.59277894    0.29412082   -3.36181641)
iedge=   3, ipnt=   3 (X): anal=  -0.00380755,  fd=   0.00000000,  err=  -0.00380755 (at    0.57021072    0.28292309   -3.23382568)
...too many errors to list
iedge=   4, ipnt=   1 (X): anal=   0.02535570,  fd=   0.02677765,  err=  -0.00142195 (at    0.96929200    0.00723521    0.00000000)
iedge=   4, ipnt=   1 (Y): anal=   0.11133212,  fd=   0.11757562,  err=  -0.00624350 (at    0.96929200    0.00723521    0.00000000)
iedge=   4, ipnt=   2 (X): anal=   0.04630542,  fd=   0.04845140,  err=  -0.00214598 (at    0.93847941    0.01401123    0.00000000)
iedge=   4, ipnt=   2 (Y): anal=   0.21832040,  fd=   0.22843823,  err=  -0.01011783 (at    0.93847941    0.01401123    0.00000000)
iedge=   4, ipnt=   3 (X): anal=   0.07530095,  fd=   0.07774752,  err=  -0.00244657 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   3 (Y): anal=   0.41583374,  fd=   0.42934440,  err=  -0.01351067 (at    0.87656797    0.02617966    0.00000000)
iedge=   4, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126908 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376981,  err=  -0.01057558 (at    0.75179356    0.04494637    0.00000000)
iedge=   4, ipnt=   5 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.62612158    0.05623324    0.00000000)
iedge=   4, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333373 (at    0.62612158    0.05623324    0.00000000)
...too many errors to list
iedge=   5, ipnt=   1 (Y): anal=   0.00054462,  fd=   0.00000000,  err=   0.00054462 (at    1.00083591    0.00060554    0.00692139)
iedge=   5, ipnt=   2 (Y): anal=   0.00214392,  fd=   0.00000000,  err=   0.00214392 (at    1.00329055    0.00238372    0.02724609)
iedge=   5, ipnt=   2 (Z): anal=  -0.00018487,  fd=   0.00000000,  err=  -0.00018487 (at    1.00329055    0.00238372    0.02724609)
iedge=   5, ipnt=   3 (Y): anal=   0.00829904,  fd=   0.00000000,  err=   0.00829904 (at    1.01273761    0.00922732    0.10546875)
iedge=   5, ipnt=   3 (Z): anal=  -0.00071563,  fd=   0.00000000,  err=  -0.00071563 (at    1.01273761    0.00922732    0.10546875)
iedge=   5, ipnt=   4 (X): anal=  -0.00018798,  fd=   0.00000000,  err=  -0.00018798 (at    1.02770430    0.02006942    0.22939453)
iedge=   5, ipnt=   4 (Y): anal=   0.01805040,  fd=   0.00000000,  err=   0.01805040 (at    1.02770430    0.02006942    0.22939453)
iedge=   5, ipnt=   4 (Z): anal=  -0.00155650,  fd=   0.00000000,  err=  -0.00155650 (at    1.02770430    0.02006942    0.22939453)
iedge=   5, ipnt=   5 (X): anal=  -0.00032266,  fd=   0.00000000,  err=  -0.00032266 (at    1.04755375    0.03444866    0.39375000)
iedge=   5, ipnt=   5 (Y): anal=   0.03098307,  fd=   0.00000000,  err=   0.03098307 (at    1.04755375    0.03444866    0.39375000)
...too many errors to list
iedge=   6, ipnt=   1 (Y): anal=   0.00054469,  fd=   0.00000000,  err=   0.00054469 (at    0.00122043    0.00060554    0.00692139)
iedge=   6, ipnt=   2 (Y): anal=   0.00214417,  fd=   0.00000000,  err=   0.00214417 (at    0.00480422    0.00238372    0.02724609)
iedge=   6, ipnt=   2 (Z): anal=  -0.00018193,  fd=   0.00000000,  err=  -0.00018193 (at    0.00480422    0.00238372    0.02724609)
iedge=   6, ipnt=   3 (X): anal=  -0.00012418,  fd=   0.00000000,  err=  -0.00012418 (at    0.01859699    0.00922732    0.10546875)
iedge=   6, ipnt=   3 (Y): anal=   0.00830003,  fd=   0.00000000,  err=   0.00830003 (at    0.01859699    0.00922732    0.10546875)
iedge=   6, ipnt=   3 (Z): anal=  -0.00070426,  fd=   0.00000000,  err=  -0.00070426 (at    0.01859699    0.00922732    0.10546875)
iedge=   6, ipnt=   4 (X): anal=  -0.00027009,  fd=   0.00000000,  err=  -0.00027009 (at    0.04044845    0.02006942    0.22939453)
iedge=   6, ipnt=   4 (Y): anal=   0.01805257,  fd=   0.00000000,  err=   0.01805257 (at    0.04044845    0.02006942    0.22939453)
iedge=   6, ipnt=   4 (Z): anal=  -0.00153177,  fd=   0.00000000,  err=  -0.00153177 (at    0.04044845    0.02006942    0.22939453)
iedge=   6, ipnt=   5 (X): anal=  -0.00046361,  fd=   0.00000000,  err=  -0.00046361 (at    0.06942875    0.03444866    0.39375000)
...too many errors to list
iedge=   7, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919    3.60000000)
iedge=   7, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919    3.60000000)
iedge=   7, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291    3.60000000)
iedge=   7, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291    3.60000000)
iedge=   7, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629    3.60000000)
iedge=   7, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629    3.60000000)
iedge=   7, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578    3.60000000)
iedge=   7, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578    3.60000000)
iedge=   7, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578    3.60000000)
iedge=   7, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   8, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919   -3.60000000)
iedge=   8, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919   -3.60000000)
iedge=   8, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546   -3.60000000)
iedge=   8, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546   -3.60000000)
iedge=   8, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209   -3.60000000)
iedge=   8, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209   -3.60000000)
iedge=   8, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260   -3.60000000)
iedge=   8, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260   -3.60000000)
iedge=   8, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260   -3.60000000)
iedge=   8, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   9, ipnt=   1 (X): anal=   0.02535570,  fd=   0.02677764,  err=  -0.00142194 (at    0.03070800   -0.00723521    0.00000000)
iedge=   9, ipnt=   1 (Y): anal=   0.11133212,  fd=   0.11757561,  err=  -0.00624348 (at    0.03070800   -0.00723521    0.00000000)
iedge=   9, ipnt=   2 (X): anal=   0.04630542,  fd=   0.04845139,  err=  -0.00214597 (at    0.06152059   -0.01401123    0.00000000)
iedge=   9, ipnt=   2 (Y): anal=   0.21832040,  fd=   0.22843820,  err=  -0.01011780 (at    0.06152059   -0.01401123    0.00000000)
iedge=   9, ipnt=   3 (X): anal=   0.07530095,  fd=   0.07774751,  err=  -0.00244656 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   3 (Y): anal=   0.41583374,  fd=   0.42934436,  err=  -0.01351063 (at    0.12343203   -0.02617966    0.00000000)
iedge=   9, ipnt=   4 (X): anal=   0.08798378,  fd=   0.08925286,  err=  -0.00126907 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   4 (Y): anal=   0.73319423,  fd=   0.74376978,  err=  -0.01057555 (at    0.24820644   -0.04494637    0.00000000)
iedge=   9, ipnt=   5 (X): anal=   0.05573253,  fd=   0.05593184,  err=  -0.00019931 (at    0.37387842   -0.05623324    0.00000000)
iedge=   9, ipnt=   5 (Y): anal=   0.93221630,  fd=   0.93555003,  err=  -0.00333372 (at    0.37387842   -0.05623324    0.00000000)
...too many errors to list
iedge=  10, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919    3.60000000)
iedge=  10, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919    3.60000000)
iedge=  10, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546    3.60000000)
iedge=  10, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546    3.60000000)
iedge=  10, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209    3.60000000)
iedge=  10, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209    3.60000000)
iedge=  10, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260    3.60000000)
iedge=  10, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260    3.60000000)
iedge=  10, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260    3.60000000)
iedge=  10, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      438 total errors (errmax=  2.8331e-01)
inode=   1, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919   -3.60000000)
inode=   3, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919   -3.60000000)
inode=   5, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919    3.60000000)
inode=   6, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(camber) check complete with        4 total errors (errmax=  2.8541e-01)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "croot" for ibody=22
    d(Face)/d(croot) check complete with        0 total errors (errmax=  3.2902e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  3.2801e-05)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "aspect" for ibody=22
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "taper" for ibody=22
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.8931e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9197e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  7.3435e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  7.3743e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "lesweep" for ibody=22
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.5925e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  4.3353e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "dihedral" for ibody=22
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.8014e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.6525e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "rottip" for ibody=22
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  3.4106e-09)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  3.0019e-08)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xbase" for ibody=22
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.9329e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "ybase" for ibody=22
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.8093e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.1660e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zbase" for ibody=22
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.607 sec

Sensitivity checks complete with     7486 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.574 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "thickness" for ibody=20
iface=   1, ipnt=   0 (X): anal=   0.00152017,  fd=   0.00000000,  err=   0.00152017 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Y): anal=   0.00624283,  fd=   0.00000000,  err=   0.00624283 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Z): anal=  -0.00072977,  fd=  -0.00000000,  err=  -0.00072977 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   1 (X): anal=   0.00146387,  fd=   0.00000000,  err=   0.00146387 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   1 (Y): anal=   0.00601426,  fd=   0.00000000,  err=   0.00601426 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   1 (Z): anal=  -0.00078673,  fd=  -0.00000000,  err=  -0.00078673 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   2 (X): anal=   0.00140416,  fd=   0.00000000,  err=   0.00140416 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   2 (Y): anal=   0.00576824,  fd=   0.00000000,  err=   0.00576824 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   2 (Z): anal=  -0.00082700,  fd=  -0.00000000,  err=  -0.00082700 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   3 (X): anal=   0.00134138,  fd=   0.00000000,  err=   0.00134138 (at    1.38709070    0.28041441    3.26250000)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=  -0.00151544,  fd=  -0.00000000,  err=  -0.00151544 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=  -0.00622342,  fd=  -0.00000000,  err=  -0.00622342 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=   0.00081169,  fd=   0.00000000,  err=   0.00081169 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=  -0.00145820,  fd=  -0.00000000,  err=  -0.00145820 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   1 (Y): anal=  -0.00599095,  fd=  -0.00000000,  err=  -0.00599095 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   1 (Z): anal=   0.00087434,  fd=   0.00000000,  err=   0.00087434 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   2 (X): anal=  -0.00139765,  fd=  -0.00000000,  err=  -0.00139765 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   2 (Y): anal=  -0.00574149,  fd=  -0.00000000,  err=  -0.00574149 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   2 (Z): anal=   0.00091840,  fd=   0.00000000,  err=   0.00091840 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   3 (X): anal=  -0.00133418,  fd=  -0.00000000,  err=  -0.00133418 (at    0.56515466    0.28041441    3.26250000)
...too many errors to list
    d(Face)/d(thickness) check complete with     3240 total errors (errmax=  5.0660e-01)
iedge=   1, ipnt=   0 (X): anal=   0.02711522,  fd=   0.00000000,  err=   0.02711522 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=  -0.00028433,  fd=   0.00000000,  err=  -0.00028433 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.00324987,  fd=   0.00000000,  err=   0.00324987 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=   0.02626787,  fd=   0.00000000,  err=   0.02626787 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00027544,  fd=   0.00000000,  err=  -0.00027544 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   1 (Z): anal=   0.00314831,  fd=   0.00000000,  err=   0.00314831 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   2 (X): anal=   0.02542052,  fd=   0.00000000,  err=   0.02542052 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   2 (Y): anal=  -0.00026656,  fd=   0.00000000,  err=  -0.00026656 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   2 (Z): anal=   0.00304675,  fd=   0.00000000,  err=   0.00304675 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   3 (X): anal=   0.02457317,  fd=   0.00000000,  err=   0.02457317 (at    1.39401677    0.28543176   -3.26250000)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.02668437,  fd=   0.00000000,  err=  -0.02668437 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.00040852,  fd=   0.00000000,  err=   0.00040852 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=  -0.00466943,  fd=   0.00000000,  err=  -0.00466943 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.02585048,  fd=   0.00000000,  err=  -0.02585048 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   1 (Y): anal=   0.00039576,  fd=   0.00000000,  err=   0.00039576 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   1 (Z): anal=  -0.00452351,  fd=   0.00000000,  err=  -0.00452351 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   2 (X): anal=  -0.02501659,  fd=   0.00000000,  err=  -0.02501659 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   2 (Y): anal=   0.00038299,  fd=   0.00000000,  err=   0.00038299 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   2 (Z): anal=  -0.00437759,  fd=   0.00000000,  err=  -0.00437759 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   3 (X): anal=  -0.02418271,  fd=   0.00000000,  err=  -0.02418271 (at    0.57526677    0.28543176   -3.26250000)
...too many errors to list
iedge=   4, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917    3.60000000)
iedge=   4, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   5, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920   -3.60000000)
iedge=   5, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920    3.60000000)
iedge=   6, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      389 total errors (errmax=  4.0000e-01)
inode=   1, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919   -3.60000000)
inode=   2, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919    3.60000000)
inode=   3, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919   -3.60000000)
inode=   4, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(thickness) check complete with        4 total errors (errmax=  2.7508e-02)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "camber" for ibody=20
iface=   1, ipnt=   0 (X): anal=   0.06477349,  fd=   0.00000000,  err=   0.06477349 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Y): anal=   0.26600314,  fd=   0.00000000,  err=   0.26600314 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Z): anal=  -0.03109505,  fd=  -0.00000000,  err=  -0.03109505 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   1 (X): anal=   0.06240196,  fd=   0.00000000,  err=   0.06240196 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   1 (Y): anal=   0.25637616,  fd=   0.00000000,  err=   0.25637616 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   1 (Z): anal=  -0.03353659,  fd=  -0.00000000,  err=  -0.03353659 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   2 (X): anal=   0.05984936,  fd=   0.00000000,  err=   0.05984936 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   2 (Y): anal=   0.24585951,  fd=   0.00000000,  err=   0.24585951 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   2 (Z): anal=  -0.03524897,  fd=  -0.00000000,  err=  -0.03524897 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   3 (X): anal=   0.05713914,  fd=   0.00000000,  err=   0.05713914 (at    1.38709070    0.28041441    3.26250000)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=   0.06457214,  fd=  -0.00000000,  err=   0.06457214 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=   0.26517624,  fd=  -0.00000000,  err=   0.26517624 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=  -0.03458572,  fd=   0.00000000,  err=  -0.03458572 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=   0.06216009,  fd=  -0.00000000,  err=   0.06216009 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   1 (Y): anal=   0.25538244,  fd=  -0.00000000,  err=   0.25538244 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   1 (Z): anal=  -0.03727138,  fd=   0.00000000,  err=  -0.03727138 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   2 (X): anal=   0.05957177,  fd=  -0.00000000,  err=   0.05957177 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   2 (Y): anal=   0.24471920,  fd=  -0.00000000,  err=   0.24471920 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   2 (Z): anal=  -0.03914484,  fd=   0.00000000,  err=  -0.03914484 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   3 (X): anal=   0.05683211,  fd=  -0.00000000,  err=   0.05683211 (at    0.56515466    0.28041441    3.26250000)
...too many errors to list
    d(Face)/d(camber) check complete with     3015 total errors (errmax=  2.6893e-01)
iedge=   1, ipnt=   0 (X): anal=  -0.00295008,  fd=   0.00000000,  err=  -0.00295008 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=   0.28327375,  fd=   0.00000000,  err=   0.28327375 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.02442696,  fd=   0.00000000,  err=   0.02442696 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=  -0.00285789,  fd=   0.00000000,  err=  -0.00285789 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   1 (Y): anal=   0.27442145,  fd=   0.00000000,  err=   0.27442145 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   1 (Z): anal=   0.02366361,  fd=   0.00000000,  err=   0.02366361 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   2 (X): anal=  -0.00276570,  fd=   0.00000000,  err=  -0.00276570 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   2 (Y): anal=   0.26556914,  fd=   0.00000000,  err=   0.26556914 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   2 (Z): anal=   0.02290027,  fd=   0.00000000,  err=   0.02290027 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   3 (X): anal=  -0.00267351,  fd=   0.00000000,  err=  -0.00267351 (at    1.39401677    0.28543176   -3.26250000)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.00423869,  fd=   0.00000000,  err=  -0.00423869 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.28330771,  fd=   0.00000000,  err=   0.28330771 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=   0.02403882,  fd=   0.00000000,  err=   0.02403882 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.00410623,  fd=   0.00000000,  err=  -0.00410623 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   1 (Y): anal=   0.27445434,  fd=   0.00000000,  err=   0.27445434 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   1 (Z): anal=   0.02328760,  fd=   0.00000000,  err=   0.02328760 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   2 (X): anal=  -0.00397377,  fd=   0.00000000,  err=  -0.00397377 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   2 (Y): anal=   0.26560098,  fd=   0.00000000,  err=   0.26560098 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   2 (Z): anal=   0.02253639,  fd=   0.00000000,  err=   0.02253639 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   3 (X): anal=  -0.00384131,  fd=   0.00000000,  err=  -0.00384131 (at    0.57526677    0.28543176   -3.26250000)
...too many errors to list
iedge=   4, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578    3.60000000)
iedge=   4, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   5, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260   -3.60000000)
iedge=   5, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260    3.60000000)
iedge=   6, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      427 total errors (errmax=  2.8331e-01)
inode=   1, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919   -3.60000000)
inode=   2, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919    3.60000000)
inode=   3, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919   -3.60000000)
inode=   4, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(camber) check complete with        4 total errors (errmax=  2.8541e-01)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "croot" for ibody=20
    d(Face)/d(croot) check complete with        0 total errors (errmax=  1.2441e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  7.1359e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "aspect" for ibody=20
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "taper" for ibody=20
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.8931e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9197e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "twist" for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  7.4330e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  7.3743e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "lesweep" for ibody=20
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4163e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  5.9745e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "dihedral" for ibody=20
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.4897e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  8.1905e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "rottip" for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  4.6831e-09)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  3.0019e-08)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "xbase" for ibody=20
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.3787e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "ybase" for ibody=20
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.4022e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.1660e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "zbase" for ibody=20
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.827 sec

Sensitivity checks complete with     7079 tnotal errors (max config err=  5.0660e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=  65: anal=   1.33606278    0.33590387   -3.60000000, ptrb=   1.33609261    0.33606721   -3.59998214, dist=   0.00016700 (at    1.33603150    0.33590291   -3.60000000)
iface=   1, ipnt=  66: anal=   1.23624763    0.35091585   -3.60000000, ptrb=   1.23628282    0.35120656   -3.59997056, dist=   0.00029430 (at    1.23621198    0.35091629   -3.60000000)
iface=   1, ipnt=  67: anal=   1.13569675    0.35994554   -3.60000000, ptrb=   1.13571906    0.36031546   -3.59996564, dist=   0.00037218 (at    1.13567439    0.35994578   -3.60000000)
iface=   1, ipnt=  68: anal=   1.03477713    0.36295917   -3.60000000, ptrb=   1.03477713    0.36335636   -3.59996659, dist=   0.00039859 (at    1.03477713    0.36295917   -3.60000000)
iface=   1, ipnt=  69: anal=   0.93385751    0.35994554   -3.60000000, ptrb=   0.93383514    0.36031656   -3.59997219, dist=   0.00037274 (at    0.93387987    0.35994578   -3.60000000)
iface=   1, ipnt=  70: anal=   0.83330663    0.35091585   -3.60000000, ptrb=   0.83327124    0.35120826   -3.59998091, dist=   0.00029516 (at    0.83334228    0.35091629   -3.60000000)
iface=   1, ipnt=  71: anal=   0.73349149    0.33590387   -3.60000000, ptrb=   0.73346140    0.33606861   -3.59999093, dist=   0.00016772 (at    0.73352276    0.33590291   -3.60000000)
iface=   1, ipnt= 137: anal=   0.73349149    0.33590387    3.60000000, ptrb=   0.73346140    0.33606861    3.59999093, dist=   0.00016772 (at    0.73352276    0.33590291    3.60000000)
iface=   1, ipnt= 138: anal=   0.83330663    0.35091585    3.60000000, ptrb=   0.83327124    0.35120826    3.59998091, dist=   0.00029516 (at    0.83334228    0.35091629    3.60000000)
iface=   1, ipnt= 139: anal=   0.93385751    0.35994554    3.60000000, ptrb=   0.93383514    0.36031656    3.59997219, dist=   0.00037274 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iface=   2, ipnt=  65: anal=   0.73349149    0.29401451   -3.60000000, ptrb=   0.73345841    0.29384981   -3.60000000, dist=   0.00016799 (at    0.73352276    0.29401546   -3.60000000)
iface=   2, ipnt=  66: anal=   0.83330663    0.27900253   -3.60000000, ptrb=   0.83326633    0.27870946   -3.60000000, dist=   0.00029582 (at    0.83334228    0.27900209   -3.60000000)
iface=   2, ipnt=  67: anal=   0.93385751    0.26997284   -3.60000000, ptrb=   0.93382948    0.26960007   -3.60000000, dist=   0.00037382 (at    0.93387987    0.26997260   -3.60000000)
iface=   2, ipnt=  68: anal=   1.03477713    0.26695920   -3.60000000, ptrb=   1.03477713    0.26655920   -3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920   -3.60000000)
iface=   2, ipnt=  69: anal=   1.13569675    0.26997284   -3.60000000, ptrb=   1.13571479    0.26959947   -3.60000000, dist=   0.00037381 (at    1.13567439    0.26997260   -3.60000000)
iface=   2, ipnt=  70: anal=   1.23624763    0.27900253   -3.60000000, ptrb=   1.23628008    0.27870851   -3.60000000, dist=   0.00029580 (at    1.23621198    0.27900209   -3.60000000)
iface=   2, ipnt=  71: anal=   1.33606278    0.29401451   -3.60000000, ptrb=   1.33609145    0.29384901   -3.60000000, dist=   0.00016797 (at    1.33603150    0.29401546   -3.60000000)
iface=   2, ipnt= 137: anal=   1.33606278    0.29401451    3.60000000, ptrb=   1.33609145    0.29384901    3.60000000, dist=   0.00016797 (at    1.33603150    0.29401546    3.60000000)
iface=   2, ipnt= 138: anal=   1.23624763    0.27900253    3.60000000, ptrb=   1.23628008    0.27870851    3.60000000, dist=   0.00029580 (at    1.23621198    0.27900209    3.60000000)
iface=   2, ipnt= 139: anal=   1.13569675    0.26997284    3.60000000, ptrb=   1.13571479    0.26959947    3.60000000, dist=   0.00037381 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      910 total errors (errmax=  5.0662e-04)
iedge=   2, ipnt=   1: anal=   1.33606278    0.33590387   -3.60000000, ptrb=   1.33609295    0.33606910   -3.60000000, dist=   0.00016796 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2: anal=   1.23624763    0.35091585   -3.60000000, ptrb=   1.23628317    0.35120949   -3.60000000, dist=   0.00029578 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3: anal=   1.13569675    0.35994554   -3.60000000, ptrb=   1.13571925    0.36031864   -3.60000000, dist=   0.00037378 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   4: anal=   1.03477713    0.36295917   -3.60000000, ptrb=   1.03477713    0.36335917   -3.60000000, dist=   0.00040000 (at    1.03477713    0.36295917   -3.60000000)
iedge=   2, ipnt=   5: anal=   0.93385751    0.35994554   -3.60000000, ptrb=   0.93383501    0.36031864   -3.60000000, dist=   0.00037378 (at    0.93387987    0.35994578   -3.60000000)
iedge=   2, ipnt=   6: anal=   0.83330663    0.35091585   -3.60000000, ptrb=   0.83327109    0.35120949   -3.60000000, dist=   0.00029578 (at    0.83334228    0.35091629   -3.60000000)
iedge=   2, ipnt=   7: anal=   0.73349149    0.33590387   -3.60000000, ptrb=   0.73346131    0.33606910   -3.60000000, dist=   0.00016796 (at    0.73352276    0.33590291   -3.60000000)
iedge=   4, ipnt=   1: anal=   1.33606278    0.33590387    3.60000000, ptrb=   1.33609295    0.33606910    3.60000000, dist=   0.00016796 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2: anal=   1.23624763    0.35091585    3.60000000, ptrb=   1.23628317    0.35120949    3.60000000, dist=   0.00029578 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3: anal=   1.13569675    0.35994554    3.60000000, ptrb=   1.13571925    0.36031864    3.60000000, dist=   0.00037378 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   4: anal=   1.03477713    0.36295917    3.60000000, ptrb=   1.03477713    0.36335917    3.60000000, dist=   0.00040000 (at    1.03477713    0.36295917    3.60000000)
iedge=   4, ipnt=   5: anal=   0.93385751    0.35994554    3.60000000, ptrb=   0.93383501    0.36031864    3.60000000, dist=   0.00037378 (at    0.93387987    0.35994578    3.60000000)
iedge=   4, ipnt=   6: anal=   0.83330663    0.35091585    3.60000000, ptrb=   0.83327109    0.35120949    3.60000000, dist=   0.00029578 (at    0.83334228    0.35091629    3.60000000)
iedge=   4, ipnt=   7: anal=   0.73349149    0.33590387    3.60000000, ptrb=   0.73346131    0.33606910    3.60000000, dist=   0.00016796 (at    0.73352276    0.33590291    3.60000000)
iedge=   5, ipnt=   1: anal=   0.73349149    0.29401451   -3.60000000, ptrb=   0.73346131    0.29384928   -3.60000000, dist=   0.00016796 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2: anal=   0.83330663    0.27900253   -3.60000000, ptrb=   0.83327109    0.27870888   -3.60000000, dist=   0.00029578 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3: anal=   0.93385751    0.26997284   -3.60000000, ptrb=   0.93383501    0.26959974   -3.60000000, dist=   0.00037378 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   4: anal=   1.03477713    0.26695920   -3.60000000, ptrb=   1.03477713    0.26655920   -3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920   -3.60000000)
iedge=   5, ipnt=   5: anal=   1.13569675    0.26997284   -3.60000000, ptrb=   1.13571925    0.26959974   -3.60000000, dist=   0.00037378 (at    1.13567439    0.26997260   -3.60000000)
iedge=   5, ipnt=   6: anal=   1.23624763    0.27900253   -3.60000000, ptrb=   1.23628317    0.27870888   -3.60000000, dist=   0.00029578 (at    1.23621198    0.27900209   -3.60000000)
iedge=   5, ipnt=   7: anal=   1.33606278    0.29401451   -3.60000000, ptrb=   1.33609295    0.29384928   -3.60000000, dist=   0.00016796 (at    1.33603150    0.29401546   -3.60000000)
iedge=   6, ipnt=   1: anal=   0.73349149    0.29401451    3.60000000, ptrb=   0.73346131    0.29384928    3.60000000, dist=   0.00016796 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2: anal=   0.83330663    0.27900253    3.60000000, ptrb=   0.83327109    0.27870888    3.60000000, dist=   0.00029578 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3: anal=   0.93385751    0.26997284    3.60000000, ptrb=   0.93383501    0.26959974    3.60000000, dist=   0.00037378 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   4: anal=   1.03477713    0.26695920    3.60000000, ptrb=   1.03477713    0.26655920    3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920    3.60000000)
iedge=   6, ipnt=   5: anal=   1.13569675    0.26997284    3.60000000, ptrb=   1.13571925    0.26959974    3.60000000, dist=   0.00037378 (at    1.13567439    0.26997260    3.60000000)
iedge=   6, ipnt=   6: anal=   1.23624763    0.27900253    3.60000000, ptrb=   1.23628317    0.27870888    3.60000000, dist=   0.00029578 (at    1.23621198    0.27900209    3.60000000)
iedge=   6, ipnt=   7: anal=   1.33606278    0.29401451    3.60000000, ptrb=   1.33609295    0.29384928    3.60000000, dist=   0.00016796 (at    1.33603150    0.29401546    3.60000000)
    d(Edge)/d(thickness) check complete with       28 total errors (errmax=  4.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   1: anal=   1.42036451    0.30479442    3.48747634, ptrb=   1.42030118    0.30453856    3.48750995, dist=   0.00026571 (at    1.42036771    0.30452078    3.48750000)
iface=   1, ipnt=   2: anal=   1.40441576    0.29323043    3.37497710, ptrb=   1.40435502    0.29298508    3.37501243, dist=   0.00025522 (at    1.40441916    0.29296741    3.37500000)
iface=   1, ipnt=   3: anal=   1.38708716    0.28066596    3.26247786, ptrb=   1.38702917    0.28043186    3.26251420, dist=   0.00024390 (at    1.38709070    0.28041441    3.26250000)
iface=   1, ipnt=   4: anal=   1.36853792    0.26721643    3.14997863, ptrb=   1.36848282    0.26699422    3.15001532, dist=   0.00023186 (at    1.36854155    0.26697712    3.15000000)
iface=   1, ipnt=   5: anal=   1.34892726    0.25299729    3.03747939, ptrb=   1.34887516    0.25278750    3.03751583, dist=   0.00021921 (at    1.34893094    0.25277090    3.03750000)
iface=   1, ipnt=   6: anal=   1.32841439    0.23812399    2.92498015, ptrb=   1.32836540    0.23792702    2.92501578, dist=   0.00020607 (at    1.32841808    0.23791107    2.92500000)
iface=   1, ipnt=   7: anal=   1.30715853    0.22271196    2.81248092, ptrb=   1.30711272    0.22252815    2.81251524, dist=   0.00019252 (at    1.30716219    0.22251298    2.81250000)
iface=   1, ipnt=   8: anal=   1.28531890    0.20687666    2.69998168, ptrb=   1.28527634    0.20670622    2.70001426, dist=   0.00017867 (at    1.28532249    0.20669197    2.70000000)
iface=   1, ipnt=   9: anal=   1.26305471    0.19073353    2.58748244, ptrb=   1.26301544    0.19057659    2.58751293, dist=   0.00016462 (at    1.26305821    0.19056338    2.58750000)
iface=   1, ipnt=  10: anal=   1.24052518    0.17439801    2.47498321, ptrb=   1.24048924    0.17425463    2.47501130, dist=   0.00015046 (at    1.24052856    0.17424256    2.47500000)
...too many errors to list
iface=   2, ipnt=   1: anal=   0.61373469    0.30479445    3.48747671, ptrb=   0.61373997    0.30452112    3.48750346, dist=   0.00027469 (at    0.61373929    0.30452078    3.48750000)
iface=   2, ipnt=   2: anal=   0.59044944    0.29323047    3.37497746, ptrb=   0.59045609    0.29296829    3.37500824, dist=   0.00026406 (at    0.59045431    0.29296741    3.37500000)
iface=   2, ipnt=   3: anal=   0.56514958    0.28066600    3.26247821, ptrb=   0.56515680    0.28041547    3.26250916, dist=   0.00025253 (at    0.56515466    0.28041441    3.26250000)
iface=   2, ipnt=   4: anal=   0.53806759    0.26721647    3.14997897, ptrb=   0.53807521    0.26697832    3.15000972, dist=   0.00024025 (at    0.53807280    0.26697712    3.15000000)
iface=   2, ipnt=   5: anal=   0.50943590    0.25299733    3.03747972, ptrb=   0.50944378    0.25277218    3.03750994, dist=   0.00022730 (at    0.50944119    0.25277090    3.03750000)
iface=   2, ipnt=   6: anal=   0.47948699    0.23812403    2.92498047, ptrb=   0.47949497    0.23791239    2.92500986, dist=   0.00021381 (at    0.47949230    0.23791107    2.92500000)
iface=   2, ipnt=   7: anal=   0.44845332    0.22271201    2.81248122, ptrb=   0.44846124    0.22251430    2.81250951, dist=   0.00019988 (at    0.44845857    0.22251298    2.81250000)
iface=   2, ipnt=   8: anal=   0.41656733    0.20687671    2.69998197, ptrb=   0.41657505    0.20669324    2.70000893, dist=   0.00018560 (at    0.41657249    0.20669197    2.70000000)
iface=   2, ipnt=   9: anal=   0.38406148    0.19073357    2.58748272, ptrb=   0.38406888    0.19056456    2.58750815, dist=   0.00017108 (at    0.38406651    0.19056338    2.58750000)
iface=   2, ipnt=  10: anal=   0.35116824    0.17439805    2.47498347, ptrb=   0.35117521    0.17424361    2.47500721, dist=   0.00015641 (at    0.35117309    0.17424256    2.47500000)
...too many errors to list
    d(Face)/d(camber) check complete with      204 total errors (errmax=  2.7547e-04)
iedge=   1, ipnt=   0: anal=   1.43477418    0.31524246   -3.59997557, ptrb=   1.43477713    0.31495919   -3.60000000, dist=   0.00028434 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1: anal=   1.42118749    0.30539114   -3.48747634, ptrb=   1.42119035    0.30511671   -3.48750000, dist=   0.00027545 (at    1.42119035    0.30511671   -3.48750000)
iedge=   1, ipnt=   2: anal=   1.40760079    0.29553981   -3.37497710, ptrb=   1.40760356    0.29527424   -3.37500000, dist=   0.00026657 (at    1.40760356    0.29527424   -3.37500000)
iedge=   1, ipnt=   3: anal=   1.39401410    0.28568848   -3.26247786, ptrb=   1.39401677    0.28543176   -3.26250000, dist=   0.00025768 (at    1.39401677    0.28543176   -3.26250000)
iedge=   1, ipnt=   4: anal=   1.38042741    0.27583715   -3.14997863, ptrb=   1.38042999    0.27558929   -3.15000000, dist=   0.00024880 (at    1.38042999    0.27558929   -3.15000000)
iedge=   1, ipnt=   5: anal=   1.36684071    0.26598583   -3.03747939, ptrb=   1.36684320    0.26574682   -3.03750000, dist=   0.00023991 (at    1.36684320    0.26574682   -3.03750000)
iedge=   1, ipnt=   6: anal=   1.35325402    0.25613450   -2.92498015, ptrb=   1.35325642    0.25590434   -2.92500000, dist=   0.00023103 (at    1.35325642    0.25590434   -2.92500000)
iedge=   1, ipnt=   7: anal=   1.33966733    0.24628317   -2.81248092, ptrb=   1.33966963    0.24606187   -2.81250000, dist=   0.00022214 (at    1.33966963    0.24606187   -2.81250000)
iedge=   1, ipnt=   8: anal=   1.32608064    0.23643185   -2.69998168, ptrb=   1.32608285    0.23621939   -2.70000000, dist=   0.00021326 (at    1.32608285    0.23621939   -2.70000000)
iedge=   1, ipnt=   9: anal=   1.31249394    0.22658052   -2.58748244, ptrb=   1.31249606    0.22637692   -2.58750000, dist=   0.00020437 (at    1.31249606    0.22637692   -2.58750000)
...too many errors to list
iedge=   2, ipnt=   0: anal=   1.43484274    0.31522862   -3.60000000, ptrb=   1.43477607    0.31495945   -3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1: anal=   1.33606019    0.33640479   -3.60000000, ptrb=   1.33603307    0.33625751   -3.60000000, dist=   0.00014976 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   7: anal=   0.73349407    0.33640479   -3.60000000, ptrb=   0.73352119    0.33625751   -3.60000000, dist=   0.00014976 (at    0.73352276    0.33590291   -3.60000000)
iedge=   2, ipnt=   8: anal=   0.63471152    0.31522862   -3.60000000, ptrb=   0.63477819    0.31495945   -3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0: anal=   0.63477289    0.31524250   -3.59997596, ptrb=   0.63477713    0.31495919   -3.60000000, dist=   0.00028436 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1: anal=   0.61493624    0.30539117   -3.48747671, ptrb=   0.61494035    0.30511671   -3.48750000, dist=   0.00027547 (at    0.61494035    0.30511671   -3.48750000)
iedge=   3, ipnt=   2: anal=   0.59509959    0.29553984   -3.37497746, ptrb=   0.59510356    0.29527424   -3.37500000, dist=   0.00026658 (at    0.59510356    0.29527424   -3.37500000)
iedge=   3, ipnt=   3: anal=   0.57526293    0.28568851   -3.26247821, ptrb=   0.57526677    0.28543176   -3.26250000, dist=   0.00025770 (at    0.57526677    0.28543176   -3.26250000)
iedge=   3, ipnt=   4: anal=   0.55542628    0.27583718   -3.14997897, ptrb=   0.55542999    0.27558929   -3.15000000, dist=   0.00024881 (at    0.55542999    0.27558929   -3.15000000)
iedge=   3, ipnt=   5: anal=   0.53558963    0.26598586   -3.03747972, ptrb=   0.53559320    0.26574682   -3.03750000, dist=   0.00023993 (at    0.53559320    0.26574682   -3.03750000)
iedge=   3, ipnt=   6: anal=   0.51575297    0.25613453   -2.92498047, ptrb=   0.51575642    0.25590434   -2.92500000, dist=   0.00023104 (at    0.51575642    0.25590434   -2.92500000)
iedge=   3, ipnt=   7: anal=   0.49591632    0.24628320   -2.81248122, ptrb=   0.49591963    0.24606187   -2.81250000, dist=   0.00022215 (at    0.49591963    0.24606187   -2.81250000)
iedge=   3, ipnt=   8: anal=   0.47607967    0.23643187   -2.69998197, ptrb=   0.47608285    0.23621939   -2.70000000, dist=   0.00021327 (at    0.47608285    0.23621939   -2.70000000)
iedge=   3, ipnt=   9: anal=   0.45624302    0.22658054   -2.58748272, ptrb=   0.45624606    0.22637692   -2.58750000, dist=   0.00020438 (at    0.45624606    0.22637692   -2.58750000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.43484274    0.31522862    3.60000000, ptrb=   1.43477607    0.31495945    3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1: anal=   1.33606019    0.33640479    3.60000000, ptrb=   1.33603307    0.33625751    3.60000000, dist=   0.00014976 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   7: anal=   0.73349407    0.33640479    3.60000000, ptrb=   0.73352119    0.33625751    3.60000000, dist=   0.00014976 (at    0.73352276    0.33590291    3.60000000)
iedge=   4, ipnt=   8: anal=   0.63471152    0.31522862    3.60000000, ptrb=   0.63477819    0.31495945    3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63484274    0.31522862   -3.60000000, ptrb=   0.63477819    0.31495893   -3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1: anal=   0.73355144    0.29451734   -3.60000000, ptrb=   0.73352514    0.29436964   -3.60000000, dist=   0.00015003 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   7: anal=   1.33600282    0.29451734   -3.60000000, ptrb=   1.33602912    0.29436964   -3.60000000, dist=   0.00015003 (at    1.33603150    0.29401546   -3.60000000)
iedge=   5, ipnt=   8: anal=   1.43471152    0.31522862   -3.60000000, ptrb=   1.43477607    0.31495893   -3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63484274    0.31522862    3.60000000, ptrb=   0.63477819    0.31495893    3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1: anal=   0.73355144    0.29451734    3.60000000, ptrb=   0.73352514    0.29436964    3.60000000, dist=   0.00015003 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   7: anal=   1.33600282    0.29451734    3.60000000, ptrb=   1.33602912    0.29436964    3.60000000, dist=   0.00015003 (at    1.33603150    0.29401546    3.60000000)
iedge=   6, ipnt=   8: anal=   1.43471152    0.31522862    3.60000000, ptrb=   1.43477607    0.31495893    3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919    3.60000000)
    d(Edge)/d(camber) check complete with       86 total errors (errmax=  2.8436e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483200    0.31518509    3.59997350, dist=   0.00023398 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483220    0.31518590   -3.59997351, dist=   0.00023480 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483273    0.31473029   -3.60001331, dist=   0.00023593 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483282    0.31472990    3.60001339, dist=   0.00023634 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   8: anal=   0.63474026    0.31511060   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63474026    0.31511060    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63488506    0.31540244   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63488506    0.31540244    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(croot) check complete with        4 total errors (errmax=  6.9127e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43621191    0.31527415   -3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43621191    0.31527415    3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(croot) check complete with        4 total errors (errmax=  3.8882e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   8: anal=   0.63474026    0.31511060   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63474026    0.31511060    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63488506    0.31540244   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63488506    0.31540244    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(aspect) check complete with        4 total errors (errmax=  6.9127e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43541191    0.31527415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43541191    0.31527415    3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483820    0.31521066    3.59997054, dist=   0.00026045 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483826    0.31521092   -3.59997057, dist=   0.00026071 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483885    0.31470502   -3.60001476, dist=   0.00026197 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483888    0.31470490    3.60001480, dist=   0.00026209 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=   8: anal=   0.63475665    0.31504330   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00038404 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63475665    0.31504330    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00038404 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63483709    0.31520544   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00030124 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63483709    0.31520544    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00030124 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(taper) check complete with        4 total errors (errmax=  3.8404e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43612978    0.31513417   -3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417   -3.60200000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43612978    0.31513417    3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417    3.60200000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417   -3.60200000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417    3.60200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.4208e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3924e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.3036e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43481285    0.31510612    3.59998282, dist=   0.00015219 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43481285    0.31510612   -3.59998282, dist=   0.00015219 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  72: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 136: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542162    0.31495751    3.59998084, dist=   0.00064478 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=  64: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542162    0.31495751   -3.59998084, dist=   0.00064478 (at    0.63477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43481216    0.31481008   -3.60000000, dist=   0.00015317 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43481216    0.31481008    3.60000000, dist=   0.00015317 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(lesweep) check complete with        8 total errors (errmax=  6.4787e-04)
iedge=   2, ipnt=   8: anal=   0.63481339    0.31481026   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63481339    0.31481026    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63481339    0.31510811   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63481339    0.31510811    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(lesweep) check complete with        4 total errors (errmax=  6.2948e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43542500    0.31495919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43542500    0.31495919    3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919    3.60000000)
    d(Node)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477296    0.31527273    3.59996548, dist=   0.00031547 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477296    0.31527273   -3.59996548, dist=   0.00031547 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  72: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477478    0.31527459   -3.59998669, dist=   0.00031569 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 136: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477478    0.31527459    3.59998669, dist=   0.00031569 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63484874    0.31525331    3.59996161, dist=   0.00030514 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=  64: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63484874    0.31525331   -3.59996162, dist=   0.00030514 (at    0.63477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43470460    0.31525709   -3.59998267, dist=   0.00030709 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43470460    0.31525709    3.59998267, dist=   0.00030709 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(dihedral) check complete with        8 total errors (errmax=  3.1569e-04)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  7.4897e-05)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31527576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31527576    3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576    3.60000000)
    d(Node)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3810e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  9.1719e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  9.1719e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.889 sec

Sensitivity checks complete with     1300 total errors (max tessel err=  3.8882e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "thickness" for ibody=18
iface=   1, ipnt=   0 (X): anal=   0.00152017,  fd=   0.00000000,  err=   0.00152017 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Y): anal=   0.00624283,  fd=   0.00000000,  err=   0.00624283 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Z): anal=  -0.00072977,  fd=  -0.00000000,  err=  -0.00072977 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   1 (X): anal=   0.00146703,  fd=   0.00000000,  err=   0.00146703 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   1 (Y): anal=   0.00602875,  fd=   0.00000000,  err=   0.00602875 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   1 (Z): anal=  -0.00074660,  fd=  -0.00000000,  err=  -0.00074660 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   2 (X): anal=   0.00141188,  fd=   0.00000000,  err=   0.00141188 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   2 (Y): anal=   0.00580553,  fd=   0.00000000,  err=   0.00580553 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   2 (Z): anal=  -0.00075529,  fd=  -0.00000000,  err=  -0.00075529 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   3 (X): anal=   0.00135498,  fd=   0.00000000,  err=   0.00135498 (at    1.39055374    0.28292309    3.26250000)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=  -0.00151544,  fd=  -0.00000000,  err=  -0.00151544 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=  -0.00622342,  fd=  -0.00000000,  err=  -0.00622342 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=   0.00081169,  fd=   0.00000000,  err=   0.00081169 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=  -0.00146193,  fd=  -0.00000000,  err=  -0.00146193 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   1 (Y): anal=  -0.00600777,  fd=  -0.00000000,  err=  -0.00600777 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   1 (Z): anal=   0.00083006,  fd=   0.00000000,  err=   0.00083006 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   2 (X): anal=  -0.00140647,  fd=  -0.00000000,  err=  -0.00140647 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   2 (Y): anal=  -0.00578328,  fd=  -0.00000000,  err=  -0.00578328 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   2 (Z): anal=   0.00083938,  fd=   0.00000000,  err=   0.00083938 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   3 (X): anal=  -0.00134935,  fd=  -0.00000000,  err=  -0.00134935 (at    0.57021072    0.28292309    3.26250000)
...too many errors to list
    d(Face)/d(thickness) check complete with     3202 total errors (errmax=  5.0000e-01)
iedge=   1, ipnt=   0 (X): anal=   0.02711522,  fd=   0.00000000,  err=   0.02711522 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=  -0.00028433,  fd=   0.00000000,  err=  -0.00028433 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.00324987,  fd=   0.00000000,  err=   0.00324987 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=   0.02619675,  fd=   0.00000000,  err=   0.02619675 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   1 (Y): anal=  -0.00030811,  fd=   0.00000000,  err=  -0.00030811 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   1 (Z): anal=   0.00332373,  fd=   0.00000000,  err=   0.00332373 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   2 (X): anal=   0.02523583,  fd=   0.00000000,  err=   0.02523583 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   2 (Y): anal=  -0.00032737,  fd=   0.00000000,  err=  -0.00032737 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   2 (Z): anal=   0.00336114,  fd=   0.00000000,  err=   0.00336114 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   3 (X): anal=   0.02423799,  fd=   0.00000000,  err=   0.02423799 (at    1.39055374    0.28292309   -3.26250000)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.02668437,  fd=   0.00000000,  err=  -0.02668437 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.00040852,  fd=   0.00000000,  err=   0.00040852 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=  -0.00466943,  fd=   0.00000000,  err=  -0.00466943 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.02573155,  fd=   0.00000000,  err=  -0.02573155 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   1 (Y): anal=   0.00044186,  fd=   0.00000000,  err=   0.00044186 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   1 (Z): anal=  -0.00476649,  fd=   0.00000000,  err=  -0.00476649 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   2 (X): anal=  -0.02474324,  fd=   0.00000000,  err=  -0.02474324 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   2 (Y): anal=   0.00046864,  fd=   0.00000000,  err=   0.00046864 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   2 (Z): anal=  -0.00481149,  fd=   0.00000000,  err=  -0.00481149 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   3 (X): anal=  -0.02372540,  fd=   0.00000000,  err=  -0.02372540 (at    0.57021072    0.28292309   -3.26250000)
...too many errors to list
iedge=   4, ipnt=   0 (X): anal=   0.00153978,  fd=   0.00000000,  err=   0.00153978 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   0 (Y): anal=   0.00632336,  fd=   0.00000000,  err=   0.00632336 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1 (X): anal=   0.00115986,  fd=   0.03109901,  err=  -0.02993915 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   1 (Y): anal=   0.00640507,  fd=   0.17173776,  err=  -0.16533268 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2 (X): anal=   0.00045440,  fd=   0.03570114,  err=  -0.03524675 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   2 (Y): anal=   0.00378662,  fd=   0.29750792,  err=  -0.29372130 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   3 (Y): anal=   0.00109195,  fd=   0.37422001,  err=  -0.37312806 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.39999961,  err=  -0.39999961 (at    1.03477713    0.36295917    3.60000000)
iedge=   4, ipnt=   5 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   5, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920   -3.60000000)
iedge=   5, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=  -0.00153978,  fd=   0.00000000,  err=  -0.00153978 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   0 (Y): anal=  -0.00632336,  fd=   0.00000000,  err=  -0.00632336 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1 (X): anal=  -0.00115986,  fd=  -0.03109901,  err=   0.02993915 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   1 (Y): anal=  -0.00640507,  fd=  -0.17173776,  err=   0.16533268 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2 (X): anal=  -0.00045440,  fd=  -0.03570114,  err=   0.03524675 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   2 (Y): anal=  -0.00378662,  fd=  -0.29750792,  err=   0.29372130 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3 (X): anal=  -0.00006528,  fd=  -0.02237274,  err=   0.02230745 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   3 (Y): anal=  -0.00109195,  fd=  -0.37422001,  err=   0.37312806 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   4 (Y): anal=  -0.00000000,  fd=  -0.39999961,  err=   0.39999961 (at    1.03477713    0.26695920    3.60000000)
iedge=   6, ipnt=   5 (X): anal=   0.00006528,  fd=   0.02237274,  err=  -0.02230745 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(thickness) check complete with      382 total errors (errmax=  4.0000e-01)
inode=   1, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919   -3.60000000)
inode=   2, ipnt=   0 (X): anal=   0.02750771,  fd=   0.00000000,  err=   0.02750771 (at    1.43477713    0.31495919    3.60000000)
inode=   3, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919   -3.60000000)
inode=   4, ipnt=   0 (X): anal=  -0.02750771,  fd=   0.00000000,  err=  -0.02750771 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(thickness) check complete with        4 total errors (errmax=  2.7508e-02)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "camber" for ibody=18
iface=   1, ipnt=   0 (X): anal=   0.06477349,  fd=   0.00000000,  err=   0.06477349 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Y): anal=   0.26600314,  fd=   0.00000000,  err=   0.26600314 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   0 (Z): anal=  -0.03109505,  fd=  -0.00000000,  err=  -0.03109505 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=   1 (X): anal=   0.06255230,  fd=   0.00000000,  err=   0.06255230 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   1 (Y): anal=   0.25705801,  fd=   0.00000000,  err=   0.25705801 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   1 (Z): anal=  -0.03183393,  fd=  -0.00000000,  err=  -0.03183393 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   2 (X): anal=   0.06023621,  fd=   0.00000000,  err=   0.06023621 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   2 (Y): anal=   0.24768606,  fd=   0.00000000,  err=   0.24768606 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   2 (Z): anal=  -0.03222341,  fd=  -0.00000000,  err=  -0.03222341 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   3 (X): anal=   0.05783760,  fd=   0.00000000,  err=   0.05783760 (at    1.39055374    0.28292309    3.26250000)
...too many errors to list
iface=   2, ipnt=   0 (X): anal=   0.06457214,  fd=  -0.00000000,  err=   0.06457214 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Y): anal=   0.26517624,  fd=  -0.00000000,  err=   0.26517624 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0 (Z): anal=  -0.03458572,  fd=   0.00000000,  err=  -0.03458572 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   1 (X): anal=   0.06233459,  fd=  -0.00000000,  err=   0.06233459 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   1 (Y): anal=   0.25616333,  fd=  -0.00000000,  err=   0.25616333 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   1 (Z): anal=  -0.03539246,  fd=   0.00000000,  err=  -0.03539246 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   2 (X): anal=   0.06000536,  fd=  -0.00000000,  err=   0.06000536 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   2 (Y): anal=   0.24673679,  fd=  -0.00000000,  err=   0.24673679 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   2 (Z): anal=  -0.03581118,  fd=   0.00000000,  err=  -0.03581118 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   3 (X): anal=   0.05759703,  fd=  -0.00000000,  err=   0.05759703 (at    0.57021072    0.28292309    3.26250000)
...too many errors to list
    d(Face)/d(camber) check complete with     2936 total errors (errmax=  2.6893e-01)
iedge=   1, ipnt=   0 (X): anal=  -0.00295008,  fd=   0.00000000,  err=  -0.00295008 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Y): anal=   0.28327375,  fd=   0.00000000,  err=   0.28327375 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   0 (Z): anal=   0.02442696,  fd=   0.00000000,  err=   0.02442696 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1 (X): anal=  -0.00319685,  fd=   0.00000000,  err=  -0.00319685 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   1 (Y): anal=   0.27390588,  fd=   0.00000000,  err=   0.27390588 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   1 (Z): anal=   0.02498209,  fd=   0.00000000,  err=   0.02498209 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   2 (X): anal=  -0.00339671,  fd=   0.00000000,  err=  -0.00339671 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   2 (Y): anal=   0.26406682,  fd=   0.00000000,  err=   0.26406682 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   2 (Z): anal=   0.02526328,  fd=   0.00000000,  err=   0.02526328 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   3 (X): anal=  -0.00354596,  fd=   0.00000000,  err=  -0.00354596 (at    1.39055374    0.28292309   -3.26250000)
...too many errors to list
iedge=   2, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578   -3.60000000)
iedge=   2, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578   -3.60000000)
...too many errors to list
iedge=   3, ipnt=   0 (X): anal=  -0.00423869,  fd=   0.00000000,  err=  -0.00423869 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Y): anal=   0.28330771,  fd=   0.00000000,  err=   0.28330771 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0 (Z): anal=   0.02403882,  fd=   0.00000000,  err=   0.02403882 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1 (X): anal=  -0.00458454,  fd=   0.00000000,  err=  -0.00458454 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   1 (Y): anal=   0.27394701,  fd=   0.00000000,  err=   0.27394701 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   1 (Z): anal=   0.02453846,  fd=   0.00000000,  err=   0.02453846 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   2 (X): anal=  -0.00486242,  fd=   0.00000000,  err=  -0.00486242 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   2 (Y): anal=   0.26411485,  fd=   0.00000000,  err=   0.26411485 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   2 (Z): anal=   0.02477015,  fd=   0.00000000,  err=   0.02477015 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   3 (X): anal=  -0.00506763,  fd=   0.00000000,  err=  -0.00506763 (at    0.57021072    0.28292309   -3.26250000)
...too many errors to list
iedge=   4, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219802,  err=   0.02670984 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347552,  err=   0.14749950 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501585,  err=   0.06413254 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    0.93387987    0.35994578    3.60000000)
iedge=   4, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844003,  err=   0.01581901 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iedge=   5, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260   -3.60000000)
iedge=   5, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260   -3.60000000)
...too many errors to list
iedge=   6, ipnt=   0 (X): anal=   0.06560907,  fd=   0.00000000,  err=   0.06560907 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   0 (Y): anal=   0.26943460,  fd=   0.00000000,  err=   0.26943460 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1 (X): anal=   0.08890786,  fd=   0.06219801,  err=   0.02670985 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   1 (Y): anal=   0.49097502,  fd=   0.34347549,  err=   0.14749953 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2 (X): anal=   0.07909823,  fd=   0.07140229,  err=   0.00769595 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   2 (Y): anal=   0.65914839,  fd=   0.59501582,  err=   0.06413257 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3 (X): anal=   0.04569121,  fd=   0.04474547,  err=   0.00094574 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   3 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   5 (X): anal=  -0.04569121,  fd=  -0.04474547,  err=  -0.00094574 (at    1.13567439    0.26997260    3.60000000)
iedge=   6, ipnt=   5 (Y): anal=   0.76425904,  fd=   0.74844002,  err=   0.01581902 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Edge)/d(camber) check complete with      418 total errors (errmax=  2.8331e-01)
inode=   1, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919   -3.60000000)
inode=   2, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    1.43477713    0.31495919    3.60000000)
inode=   3, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919   -3.60000000)
inode=   4, ipnt=   0 (Y): anal=   0.28541083,  fd=   0.00000000,  err=   0.28541083 (at    0.63477713    0.31495919    3.60000000)
    d(Node)/d(camber) check complete with        4 total errors (errmax=  2.8541e-01)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "croot" for ibody=18
    d(Face)/d(croot) check complete with        0 total errors (errmax=  8.9196e-06)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  7.1359e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  1.1852e-10)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "aspect" for ibody=18
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  9.5851e-10)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "taper" for ibody=18
    d(Face)/d(taper) check complete with        0 total errors (errmax=  8.8931e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  8.9197e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6453e-10)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "twist" for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  7.3597e-09)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  7.3743e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "lesweep" for ibody=18
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.3091e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  4.2109e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "dihedral" for ibody=18
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.1855e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.0255e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "rottip" for ibody=18
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  4.1358e-09)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  3.0019e-08)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "xbase" for ibody=18
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.2004e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.1396e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "ybase" for ibody=18
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.3651e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.1099e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "zbase" for ibody=18
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.522 sec

Sensitivity checks complete with     6946 tnotal errors (max config err=  5.0000e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6b2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=  65: anal=   1.33606278    0.33590387   -3.60000000, ptrb=   1.33609261    0.33606721   -3.59998214, dist=   0.00016700 (at    1.33603150    0.33590291   -3.60000000)
iface=   1, ipnt=  66: anal=   1.23624763    0.35091585   -3.60000000, ptrb=   1.23628282    0.35120656   -3.59997056, dist=   0.00029430 (at    1.23621198    0.35091629   -3.60000000)
iface=   1, ipnt=  67: anal=   1.13569675    0.35994554   -3.60000000, ptrb=   1.13571906    0.36031546   -3.59996564, dist=   0.00037218 (at    1.13567439    0.35994578   -3.60000000)
iface=   1, ipnt=  68: anal=   1.03477713    0.36295917   -3.60000000, ptrb=   1.03477713    0.36335636   -3.59996658, dist=   0.00039859 (at    1.03477713    0.36295917   -3.60000000)
iface=   1, ipnt=  69: anal=   0.93385751    0.35994554   -3.60000000, ptrb=   0.93383514    0.36031656   -3.59997219, dist=   0.00037274 (at    0.93387987    0.35994578   -3.60000000)
iface=   1, ipnt=  70: anal=   0.83330663    0.35091585   -3.60000000, ptrb=   0.83327124    0.35120826   -3.59998091, dist=   0.00029516 (at    0.83334228    0.35091629   -3.60000000)
iface=   1, ipnt=  71: anal=   0.73349149    0.33590387   -3.60000000, ptrb=   0.73346140    0.33606861   -3.59999093, dist=   0.00016772 (at    0.73352276    0.33590291   -3.60000000)
iface=   1, ipnt= 137: anal=   0.73349149    0.33590387    3.60000000, ptrb=   0.73346140    0.33606861    3.59999093, dist=   0.00016772 (at    0.73352276    0.33590291    3.60000000)
iface=   1, ipnt= 138: anal=   0.83330663    0.35091585    3.60000000, ptrb=   0.83327124    0.35120826    3.59998091, dist=   0.00029516 (at    0.83334228    0.35091629    3.60000000)
iface=   1, ipnt= 139: anal=   0.93385751    0.35994554    3.60000000, ptrb=   0.93383514    0.36031656    3.59997219, dist=   0.00037274 (at    0.93387987    0.35994578    3.60000000)
...too many errors to list
iface=   2, ipnt=  65: anal=   0.73349149    0.29401451   -3.60000000, ptrb=   0.73345841    0.29384981   -3.60000000, dist=   0.00016799 (at    0.73352276    0.29401546   -3.60000000)
iface=   2, ipnt=  66: anal=   0.83330663    0.27900253   -3.60000000, ptrb=   0.83326633    0.27870946   -3.60000000, dist=   0.00029582 (at    0.83334228    0.27900209   -3.60000000)
iface=   2, ipnt=  67: anal=   0.93385751    0.26997284   -3.60000000, ptrb=   0.93382948    0.26960007   -3.60000000, dist=   0.00037382 (at    0.93387987    0.26997260   -3.60000000)
iface=   2, ipnt=  68: anal=   1.03477713    0.26695920   -3.60000000, ptrb=   1.03477713    0.26655920   -3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920   -3.60000000)
iface=   2, ipnt=  69: anal=   1.13569675    0.26997284   -3.60000000, ptrb=   1.13571479    0.26959947   -3.60000000, dist=   0.00037381 (at    1.13567439    0.26997260   -3.60000000)
iface=   2, ipnt=  70: anal=   1.23624763    0.27900253   -3.60000000, ptrb=   1.23628008    0.27870851   -3.60000000, dist=   0.00029580 (at    1.23621198    0.27900209   -3.60000000)
iface=   2, ipnt=  71: anal=   1.33606278    0.29401451   -3.60000000, ptrb=   1.33609145    0.29384901   -3.60000000, dist=   0.00016797 (at    1.33603150    0.29401546   -3.60000000)
iface=   2, ipnt= 137: anal=   1.33606278    0.29401451    3.60000000, ptrb=   1.33609145    0.29384901    3.60000000, dist=   0.00016797 (at    1.33603150    0.29401546    3.60000000)
iface=   2, ipnt= 138: anal=   1.23624763    0.27900253    3.60000000, ptrb=   1.23628008    0.27870851    3.60000000, dist=   0.00029580 (at    1.23621198    0.27900209    3.60000000)
iface=   2, ipnt= 139: anal=   1.13569675    0.26997284    3.60000000, ptrb=   1.13571479    0.26959947    3.60000000, dist=   0.00037381 (at    1.13567439    0.26997260    3.60000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      910 total errors (errmax=  5.0000e-04)
iedge=   2, ipnt=   1: anal=   1.33606278    0.33590387   -3.60000000, ptrb=   1.33609295    0.33606910   -3.60000000, dist=   0.00016796 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   2: anal=   1.23624763    0.35091585   -3.60000000, ptrb=   1.23628317    0.35120949   -3.60000000, dist=   0.00029578 (at    1.23621198    0.35091629   -3.60000000)
iedge=   2, ipnt=   3: anal=   1.13569675    0.35994554   -3.60000000, ptrb=   1.13571925    0.36031864   -3.60000000, dist=   0.00037378 (at    1.13567439    0.35994578   -3.60000000)
iedge=   2, ipnt=   4: anal=   1.03477713    0.36295917   -3.60000000, ptrb=   1.03477713    0.36335917   -3.60000000, dist=   0.00040000 (at    1.03477713    0.36295917   -3.60000000)
iedge=   2, ipnt=   5: anal=   0.93385751    0.35994554   -3.60000000, ptrb=   0.93383501    0.36031864   -3.60000000, dist=   0.00037378 (at    0.93387987    0.35994578   -3.60000000)
iedge=   2, ipnt=   6: anal=   0.83330663    0.35091585   -3.60000000, ptrb=   0.83327109    0.35120949   -3.60000000, dist=   0.00029578 (at    0.83334228    0.35091629   -3.60000000)
iedge=   2, ipnt=   7: anal=   0.73349149    0.33590387   -3.60000000, ptrb=   0.73346131    0.33606910   -3.60000000, dist=   0.00016796 (at    0.73352276    0.33590291   -3.60000000)
iedge=   4, ipnt=   1: anal=   1.33606278    0.33590387    3.60000000, ptrb=   1.33609295    0.33606910    3.60000000, dist=   0.00016796 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   2: anal=   1.23624763    0.35091585    3.60000000, ptrb=   1.23628317    0.35120949    3.60000000, dist=   0.00029578 (at    1.23621198    0.35091629    3.60000000)
iedge=   4, ipnt=   3: anal=   1.13569675    0.35994554    3.60000000, ptrb=   1.13571925    0.36031864    3.60000000, dist=   0.00037378 (at    1.13567439    0.35994578    3.60000000)
iedge=   4, ipnt=   4: anal=   1.03477713    0.36295917    3.60000000, ptrb=   1.03477713    0.36335917    3.60000000, dist=   0.00040000 (at    1.03477713    0.36295917    3.60000000)
iedge=   4, ipnt=   5: anal=   0.93385751    0.35994554    3.60000000, ptrb=   0.93383501    0.36031864    3.60000000, dist=   0.00037378 (at    0.93387987    0.35994578    3.60000000)
iedge=   4, ipnt=   6: anal=   0.83330663    0.35091585    3.60000000, ptrb=   0.83327109    0.35120949    3.60000000, dist=   0.00029578 (at    0.83334228    0.35091629    3.60000000)
iedge=   4, ipnt=   7: anal=   0.73349149    0.33590387    3.60000000, ptrb=   0.73346131    0.33606910    3.60000000, dist=   0.00016796 (at    0.73352276    0.33590291    3.60000000)
iedge=   5, ipnt=   1: anal=   0.73349149    0.29401451   -3.60000000, ptrb=   0.73346131    0.29384928   -3.60000000, dist=   0.00016796 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   2: anal=   0.83330663    0.27900253   -3.60000000, ptrb=   0.83327109    0.27870888   -3.60000000, dist=   0.00029578 (at    0.83334228    0.27900209   -3.60000000)
iedge=   5, ipnt=   3: anal=   0.93385751    0.26997284   -3.60000000, ptrb=   0.93383501    0.26959974   -3.60000000, dist=   0.00037378 (at    0.93387987    0.26997260   -3.60000000)
iedge=   5, ipnt=   4: anal=   1.03477713    0.26695920   -3.60000000, ptrb=   1.03477713    0.26655920   -3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920   -3.60000000)
iedge=   5, ipnt=   5: anal=   1.13569675    0.26997284   -3.60000000, ptrb=   1.13571925    0.26959974   -3.60000000, dist=   0.00037378 (at    1.13567439    0.26997260   -3.60000000)
iedge=   5, ipnt=   6: anal=   1.23624763    0.27900253   -3.60000000, ptrb=   1.23628317    0.27870888   -3.60000000, dist=   0.00029578 (at    1.23621198    0.27900209   -3.60000000)
iedge=   5, ipnt=   7: anal=   1.33606278    0.29401451   -3.60000000, ptrb=   1.33609295    0.29384928   -3.60000000, dist=   0.00016796 (at    1.33603150    0.29401546   -3.60000000)
iedge=   6, ipnt=   1: anal=   0.73349149    0.29401451    3.60000000, ptrb=   0.73346131    0.29384928    3.60000000, dist=   0.00016796 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   2: anal=   0.83330663    0.27900253    3.60000000, ptrb=   0.83327109    0.27870888    3.60000000, dist=   0.00029578 (at    0.83334228    0.27900209    3.60000000)
iedge=   6, ipnt=   3: anal=   0.93385751    0.26997284    3.60000000, ptrb=   0.93383501    0.26959974    3.60000000, dist=   0.00037378 (at    0.93387987    0.26997260    3.60000000)
iedge=   6, ipnt=   4: anal=   1.03477713    0.26695920    3.60000000, ptrb=   1.03477713    0.26655920    3.60000000, dist=   0.00040000 (at    1.03477713    0.26695920    3.60000000)
iedge=   6, ipnt=   5: anal=   1.13569675    0.26997284    3.60000000, ptrb=   1.13571925    0.26959974    3.60000000, dist=   0.00037378 (at    1.13567439    0.26997260    3.60000000)
iedge=   6, ipnt=   6: anal=   1.23624763    0.27900253    3.60000000, ptrb=   1.23628317    0.27870888    3.60000000, dist=   0.00029578 (at    1.23621198    0.27900209    3.60000000)
iedge=   6, ipnt=   7: anal=   1.33606278    0.29401451    3.60000000, ptrb=   1.33609295    0.29384928    3.60000000, dist=   0.00016796 (at    1.33603150    0.29401546    3.60000000)
    d(Edge)/d(thickness) check complete with       28 total errors (errmax=  4.0000e-04)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   1: anal=   1.42077600    0.30509278    3.48747634, ptrb=   1.42071251    0.30483624    3.48750824, dist=   0.00026620 (at    1.42077903    0.30481875    3.48750000)
iface=   1, ipnt=   2: anal=   1.40600828    0.29438512    3.37497710, ptrb=   1.40594714    0.29413794    3.37500940, dist=   0.00025667 (at    1.40601136    0.29412082    3.37500000)
iface=   1, ipnt=   3: anal=   1.39055063    0.28317722    3.26247786, ptrb=   1.39049193    0.28293976    3.26251022, dist=   0.00024674 (at    1.39055374    0.28292309    3.26250000)
iface=   1, ipnt=   4: anal=   1.37448267    0.27152679    3.14997863, ptrb=   1.37442647    0.27129938    3.15001073, dist=   0.00023644 (at    1.37448577    0.27128321    3.15000000)
iface=   1, ipnt=   5: anal=   1.35788399    0.25949156    3.03747939, ptrb=   1.35783036    0.25927446    3.03751095, dist=   0.00022584 (at    1.35788707    0.25925886    3.03750000)
iface=   1, ipnt=   6: anal=   1.34083420    0.24712924    2.92498015, ptrb=   1.34078319    0.24692268    2.92501092, dist=   0.00021498 (at    1.34083725    0.24690770    2.92500000)
iface=   1, ipnt=   7: anal=   1.32341293    0.23449757    2.81248092, ptrb=   1.32336457    0.23430172    2.81251065, dist=   0.00020391 (at    1.32341591    0.23428742    2.81250000)
iface=   1, ipnt=   8: anal=   1.30569977    0.22165426    2.69998168, ptrb=   1.30565409    0.22146924    2.70001017, dist=   0.00019269 (at    1.30570267    0.22145568    2.70000000)
iface=   1, ipnt=   9: anal=   1.28777433    0.20865703    2.58748244, ptrb=   1.28773135    0.20848293    2.58750951, dist=   0.00018135 (at    1.28777714    0.20847015    2.58750000)
iface=   1, ipnt=  10: anal=   1.26971622    0.19556360    2.47498321, ptrb=   1.26967594    0.19540047    2.47500870, dist=   0.00016995 (at    1.26971892    0.19538850    2.47500000)
...too many errors to list
iface=   2, ipnt=   1: anal=   0.61433547    0.30509281    3.48747671, ptrb=   0.61434010    0.30481889    3.48750150, dist=   0.00027508 (at    0.61433982    0.30481875    3.48750000)
iface=   2, ipnt=   2: anal=   0.59277451    0.29438516    3.37497746, ptrb=   0.59277958    0.29412114    3.37500329, dist=   0.00026532 (at    0.59277894    0.29412082    3.37500000)
iface=   2, ipnt=   3: anal=   0.57020626    0.28317725    3.26247821, ptrb=   0.57021143    0.28292344    3.26250349, dist=   0.00025512 (at    0.57021072    0.28292309    3.26250000)
iface=   2, ipnt=   4: anal=   0.54674693    0.27152683    3.14997897, ptrb=   0.54675216    0.27128359    3.15000360, dist=   0.00024454 (at    0.54675140    0.27128321    3.15000000)
iface=   2, ipnt=   5: anal=   0.52251277    0.25949159    3.03747972, ptrb=   0.52251879    0.25925965    3.03750728, dist=   0.00023366 (at    0.52251720    0.25925886    3.03750000)
iface=   2, ipnt=   6: anal=   0.49761998    0.24712928    2.92498047, ptrb=   0.49762597    0.24690850    2.92500721, dist=   0.00022247 (at    0.49762436    0.24690770    2.92500000)
iface=   2, ipnt=   7: anal=   0.47218482    0.23449760    2.81248122, ptrb=   0.47219070    0.23428822    2.81250701, dist=   0.00021105 (at    0.47218910    0.23428742    2.81250000)
iface=   2, ipnt=   8: anal=   0.44632350    0.22165429    2.69998197, ptrb=   0.44632922    0.22145645    2.70000670, dist=   0.00019946 (at    0.44632767    0.22145568    2.70000000)
iface=   2, ipnt=   9: anal=   0.42015225    0.20865706    2.58748272, ptrb=   0.42015776    0.20847088    2.58750629, dist=   0.00018775 (at    0.42015629    0.20847015    2.58750000)
iface=   2, ipnt=  10: anal=   0.39378730    0.19556363    2.47498347, ptrb=   0.39379186    0.19538884    2.47500290, dist=   0.00017593 (at    0.39379118    0.19538850    2.47500000)
...too many errors to list
    d(Face)/d(camber) check complete with      200 total errors (errmax=  2.7508e-04)
iedge=   1, ipnt=   0: anal=   1.43477418    0.31524246   -3.59997557, ptrb=   1.43477713    0.31495919   -3.60000000, dist=   0.00028434 (at    1.43477713    0.31495919   -3.60000000)
iedge=   1, ipnt=   1: anal=   1.42077600    0.30509278   -3.48747634, ptrb=   1.42077920    0.30481887   -3.48750132, dist=   0.00027506 (at    1.42077903    0.30481875   -3.48750000)
iedge=   1, ipnt=   2: anal=   1.40600828    0.29438512   -3.37497710, ptrb=   1.40601168    0.29412105   -3.37500236, dist=   0.00026529 (at    1.40601136    0.29412082   -3.37500000)
iedge=   1, ipnt=   3: anal=   1.39055063    0.28317722   -3.26247786, ptrb=   1.39055418    0.28292341   -3.26250315, dist=   0.00025509 (at    1.39055374    0.28292309   -3.26250000)
iedge=   1, ipnt=   4: anal=   1.37448267    0.27152679   -3.14997863, ptrb=   1.37448631    0.27128360   -3.15000370, dist=   0.00024451 (at    1.37448577    0.27128321   -3.15000000)
iedge=   1, ipnt=   5: anal=   1.35788399    0.25949156   -3.03747939, ptrb=   1.35788767    0.25925929   -3.03750402, dist=   0.00023360 (at    1.35788707    0.25925886   -3.03750000)
iedge=   1, ipnt=   6: anal=   1.34083420    0.24712924   -2.92498015, ptrb=   1.34083788    0.24690816   -2.92500414, dist=   0.00022241 (at    1.34083725    0.24690770   -2.92500000)
iedge=   1, ipnt=   7: anal=   1.32341293    0.23449757   -2.81248092, ptrb=   1.32341655    0.23428788   -2.81250409, dist=   0.00021099 (at    1.32341591    0.23428742   -2.81250000)
iedge=   1, ipnt=   8: anal=   1.30569977    0.22165426   -2.69998168, ptrb=   1.30570328    0.22145612   -2.70000387, dist=   0.00019940 (at    1.30570267    0.22145568   -2.70000000)
iedge=   1, ipnt=   9: anal=   1.28777433    0.20865703   -2.58748244, ptrb=   1.28777770    0.20847056   -2.58750352, dist=   0.00018769 (at    1.28777714    0.20847015   -2.58750000)
...too many errors to list
iedge=   2, ipnt=   0: anal=   1.43484274    0.31522862   -3.60000000, ptrb=   1.43477607    0.31495945   -3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919   -3.60000000)
iedge=   2, ipnt=   1: anal=   1.33606019    0.33640479   -3.60000000, ptrb=   1.33603307    0.33625751   -3.60000000, dist=   0.00014976 (at    1.33603150    0.33590291   -3.60000000)
iedge=   2, ipnt=   7: anal=   0.73349407    0.33640479   -3.60000000, ptrb=   0.73352119    0.33625751   -3.60000000, dist=   0.00014976 (at    0.73352276    0.33590291   -3.60000000)
iedge=   2, ipnt=   8: anal=   0.63471152    0.31522862   -3.60000000, ptrb=   0.63477819    0.31495945   -3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   0: anal=   0.63477289    0.31524250   -3.59997596, ptrb=   0.63477713    0.31495919   -3.60000000, dist=   0.00028436 (at    0.63477713    0.31495919   -3.60000000)
iedge=   3, ipnt=   1: anal=   0.61433547    0.30509281   -3.48747671, ptrb=   0.61434005    0.30481886   -3.48750125, dist=   0.00027508 (at    0.61433982    0.30481875   -3.48750000)
iedge=   3, ipnt=   2: anal=   0.59277451    0.29438516   -3.37497746, ptrb=   0.59277938    0.29412104   -3.37500223, dist=   0.00026532 (at    0.59277894    0.29412082   -3.37500000)
iedge=   3, ipnt=   3: anal=   0.57020626    0.28317725   -3.26247821, ptrb=   0.57021133    0.28292339   -3.26250297, dist=   0.00025512 (at    0.57021072    0.28292309   -3.26250000)
iedge=   3, ipnt=   4: anal=   0.54674693    0.27152683   -3.14997897, ptrb=   0.54675213    0.27128357   -3.15000347, dist=   0.00024454 (at    0.54675140    0.27128321   -3.15000000)
iedge=   3, ipnt=   5: anal=   0.52251277    0.25949159   -3.03747972, ptrb=   0.52251802    0.25925926   -3.03750376, dist=   0.00023363 (at    0.52251720    0.25925886   -3.03750000)
iedge=   3, ipnt=   6: anal=   0.49761998    0.24712928   -2.92498047, ptrb=   0.49762522    0.24690813   -2.92500386, dist=   0.00022244 (at    0.49762436    0.24690770   -2.92500000)
iedge=   3, ipnt=   7: anal=   0.47218482    0.23449760   -2.81248122, ptrb=   0.47218997    0.23428785   -2.81250379, dist=   0.00021103 (at    0.47218910    0.23428742   -2.81250000)
iedge=   3, ipnt=   8: anal=   0.44632350    0.22165429   -2.69998197, ptrb=   0.44632850    0.22145609   -2.70000357, dist=   0.00019944 (at    0.44632767    0.22145568   -2.70000000)
iedge=   3, ipnt=   9: anal=   0.42015225    0.20865706   -2.58748272, ptrb=   0.42015704    0.20847052   -2.58750323, dist=   0.00018772 (at    0.42015629    0.20847015   -2.58750000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.43484274    0.31522862    3.60000000, ptrb=   1.43477607    0.31495945    3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919    3.60000000)
iedge=   4, ipnt=   1: anal=   1.33606019    0.33640479    3.60000000, ptrb=   1.33603307    0.33625751    3.60000000, dist=   0.00014976 (at    1.33603150    0.33590291    3.60000000)
iedge=   4, ipnt=   7: anal=   0.73349407    0.33640479    3.60000000, ptrb=   0.73352119    0.33625751    3.60000000, dist=   0.00014976 (at    0.73352276    0.33590291    3.60000000)
iedge=   4, ipnt=   8: anal=   0.63471152    0.31522862    3.60000000, ptrb=   0.63477819    0.31495945    3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63484274    0.31522862   -3.60000000, ptrb=   0.63477819    0.31495893   -3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919   -3.60000000)
iedge=   5, ipnt=   1: anal=   0.73355144    0.29451734   -3.60000000, ptrb=   0.73352514    0.29436964   -3.60000000, dist=   0.00015003 (at    0.73352276    0.29401546   -3.60000000)
iedge=   5, ipnt=   7: anal=   1.33600282    0.29451734   -3.60000000, ptrb=   1.33602912    0.29436964   -3.60000000, dist=   0.00015003 (at    1.33603150    0.29401546   -3.60000000)
iedge=   5, ipnt=   8: anal=   1.43471152    0.31522862   -3.60000000, ptrb=   1.43477607    0.31495893   -3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63484274    0.31522862    3.60000000, ptrb=   0.63477819    0.31495893    3.60000000, dist=   0.00027731 (at    0.63477713    0.31495919    3.60000000)
iedge=   6, ipnt=   1: anal=   0.73355144    0.29451734    3.60000000, ptrb=   0.73352514    0.29436964    3.60000000, dist=   0.00015003 (at    0.73352276    0.29401546    3.60000000)
iedge=   6, ipnt=   7: anal=   1.33600282    0.29451734    3.60000000, ptrb=   1.33602912    0.29436964    3.60000000, dist=   0.00015003 (at    1.33603150    0.29401546    3.60000000)
iedge=   6, ipnt=   8: anal=   1.43471152    0.31522862    3.60000000, ptrb=   1.43477607    0.31495893    3.60000000, dist=   0.00027731 (at    1.43477713    0.31495919    3.60000000)
    d(Edge)/d(camber) check complete with       84 total errors (errmax=  2.8436e-04)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483210    0.31518550    3.59997351, dist=   0.00023439 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483210    0.31518550   -3.59997351, dist=   0.00023439 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483278    0.31473009   -3.60001335, dist=   0.00023613 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483278    0.31473009    3.60001335, dist=   0.00023613 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   8: anal=   0.63474026    0.31511060   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63474026    0.31511060    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63488506    0.31540244   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63488506    0.31540244    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(croot) check complete with        4 total errors (errmax=  6.9127e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43621191    0.31527415   -3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43621191    0.31527415    3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(croot) check complete with        4 total errors (errmax=  3.8882e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=   8: anal=   0.63474026    0.31511060   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63474026    0.31511060    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00069127 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63488506    0.31540244   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63488506    0.31540244    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00054224 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(aspect) check complete with        4 total errors (errmax=  6.9127e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43541191    0.31527415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43541191    0.31527415    3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483823    0.31521079    3.59997056, dist=   0.00026058 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483823    0.31521079   -3.59997056, dist=   0.00026058 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43483886    0.31470496   -3.60001478, dist=   0.00026203 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43483886    0.31470496    3.60001478, dist=   0.00026203 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=   8: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=   8: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=   8: anal=   0.63475665    0.31504330   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00038404 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63475665    0.31504330    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00038404 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63483709    0.31520544   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00030124 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63483709    0.31520544    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00030124 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(taper) check complete with        4 total errors (errmax=  3.8404e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43612978    0.31513417   -3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417   -3.60200000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43612978    0.31513417    3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417    3.60200000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417   -3.60200000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417    3.60200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.4208e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3924e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.3036e-06)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43481285    0.31510612    3.59998282, dist=   0.00015219 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43481285    0.31510612   -3.59998282, dist=   0.00015219 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  72: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 136: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542162    0.31495751    3.59998084, dist=   0.00064478 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=  64: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542162    0.31495751   -3.59998084, dist=   0.00064478 (at    0.63477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43481216    0.31481008   -3.60000000, dist=   0.00015317 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43481216    0.31481008    3.60000000, dist=   0.00015317 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(lesweep) check complete with        8 total errors (errmax=  6.4787e-04)
iedge=   2, ipnt=   8: anal=   0.63481339    0.31481026   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=   8: anal=   0.63481339    0.31481026    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919    3.60000000)
iedge=   5, ipnt=   0: anal=   0.63481339    0.31510811   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919   -3.60000000)
iedge=   6, ipnt=   0: anal=   0.63481339    0.31510811    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00062948 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(lesweep) check complete with        4 total errors (errmax=  6.2948e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43542500    0.31495919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43542500    0.31495919    3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919    3.60000000)
    d(Node)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477296    0.31527273    3.59996548, dist=   0.00031547 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477296    0.31527273   -3.59996548, dist=   0.00031547 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  72: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477478    0.31527459   -3.59998669, dist=   0.00031569 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 136: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477478    0.31527459    3.59998669, dist=   0.00031569 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63484874    0.31525331    3.59996162, dist=   0.00030514 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=  64: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63484874    0.31525331   -3.59996161, dist=   0.00030514 (at    0.63477713    0.31495919   -3.60000000)
iface=   2, ipnt=  72: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43470460    0.31525709   -3.59998267, dist=   0.00030709 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 136: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43470460    0.31525709    3.59998267, dist=   0.00030709 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(dihedral) check complete with        8 total errors (errmax=  3.1569e-04)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  7.4897e-05)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31527576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31527576    3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576    3.60000000)
    d(Node)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3810e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  9.1719e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  9.1719e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.512 sec

Sensitivity checks complete with     1294 total errors (max tessel err=  3.8882e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "thickness" for ibody=22
iface=   1, ipnt= 148 (X): anal=   0.00000000,  fd=  -0.00054759,  err=   0.00054759 (at    0.00003274    0.00099962    0.00000000)
iface=   1, ipnt= 148 (Y): anal=   0.00844761,  fd=   0.00024820,  err=   0.00819940 (at    0.00003274    0.00099962    0.00000000)
iface=   1, ipnt= 149 (X): anal=   0.00000000,  fd=  -0.00212360,  err=   0.00212360 (at    0.00012955    0.00199546    0.00000000)
iface=   1, ipnt= 149 (Y): anal=   0.01678603,  fd=   0.00060928,  err=   0.01617675 (at    0.00012955    0.00199546    0.00000000)
iface=   1, ipnt= 150 (X): anal=   0.00000000,  fd=  -0.00796043,  err=   0.00796043 (at    0.00050691    0.00396065    0.00000000)
iface=   1, ipnt= 150 (Y): anal=   0.03309834,  fd=   0.00212156,  err=   0.03097678 (at    0.00050691    0.00396065    0.00000000)
iface=   1, ipnt= 151 (X): anal=   0.00000000,  fd=  -0.02729294,  err=   0.02729294 (at    0.00193307    0.00768665    0.00000000)
iface=   1, ipnt= 151 (Y): anal=   0.06400699,  fd=   0.01074392,  err=   0.05326307 (at    0.00193307    0.00768665    0.00000000)
iface=   1, ipnt= 152 (X): anal=   0.00000000,  fd=  -0.07063586,  err=   0.07063586 (at    0.00669539    0.01406302    0.00000000)
iface=   1, ipnt= 152 (Y): anal=   0.11720523,  fd=   0.04584428,  err=   0.07136095 (at    0.00669539    0.01406302    0.00000000)
...too many errors to list
iface=   2, ipnt=  30 (X): anal=   0.00000000,  fd=  -0.00317038,  err=   0.00317038 (at    0.96845349    0.00449332    0.00000000)
iface=   2, ipnt=  30 (Y): anal=   0.03744437,  fd=   0.03788691,  err=  -0.00044253 (at    0.96845349    0.00449332    0.00000000)
iface=   2, ipnt=  31 (X): anal=   0.00000000,  fd=  -0.00674045,  err=   0.00674045 (at    0.93688252    0.00881359    0.00000000)
iface=   2, ipnt=  31 (Y): anal=   0.07344659,  fd=   0.07435088,  err=  -0.00090429 (at    0.93688252    0.00881359    0.00000000)
iface=   2, ipnt=  32 (X): anal=   0.00000000,  fd=  -0.01494411,  err=   0.01494411 (at    0.87367685    0.01697106    0.00000000)
iface=   2, ipnt=  32 (Y): anal=   0.14142548,  fd=   0.14328047,  err=  -0.00185499 (at    0.87367685    0.01697106    0.00000000)
iface=   2, ipnt=  33 (X): anal=   0.00000000,  fd=  -0.03492946,  err=   0.03492946 (at    0.74705093    0.03151706    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.26264214,  fd=   0.26633811,  err=  -0.00369597 (at    0.74705093    0.03151706    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.00000000,  fd=  -0.05900697,  err=   0.05900697 (at    0.62018138    0.04375586    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.36463217,  fd=   0.36974499,  err=  -0.00511281 (at    0.62018138    0.04375586    0.00000000)
...too many errors to list
iface=   3, ipnt= 148 (X): anal=   0.00000000,  fd=  -0.00317039,  err=   0.00317039 (at    0.96845349   -0.00449332    0.00000000)
iface=   3, ipnt= 148 (Y): anal=  -0.03744437,  fd=  -0.03788691,  err=   0.00044253 (at    0.96845349   -0.00449332    0.00000000)
iface=   3, ipnt= 149 (X): anal=   0.00000000,  fd=  -0.00674045,  err=   0.00674045 (at    0.93688252   -0.00881359    0.00000000)
iface=   3, ipnt= 149 (Y): anal=  -0.07344659,  fd=  -0.07435088,  err=   0.00090429 (at    0.93688252   -0.00881359    0.00000000)
iface=   3, ipnt= 150 (X): anal=   0.00000000,  fd=  -0.01494411,  err=   0.01494411 (at    0.87367685   -0.01697106    0.00000000)
iface=   3, ipnt= 150 (Y): anal=  -0.14142548,  fd=  -0.14328047,  err=   0.00185499 (at    0.87367685   -0.01697106    0.00000000)
iface=   3, ipnt= 151 (X): anal=   0.00000000,  fd=  -0.03492947,  err=   0.03492947 (at    0.74705093   -0.03151706    0.00000000)
iface=   3, ipnt= 151 (Y): anal=  -0.26264214,  fd=  -0.26633811,  err=   0.00369597 (at    0.74705093   -0.03151706    0.00000000)
iface=   3, ipnt= 152 (X): anal=   0.00000000,  fd=  -0.05900699,  err=   0.05900699 (at    0.62018138   -0.04375586    0.00000000)
iface=   3, ipnt= 152 (Y): anal=  -0.36463217,  fd=  -0.36974499,  err=   0.00511282 (at    0.62018138   -0.04375586    0.00000000)
...too many errors to list
iface=   4, ipnt= 106 (X): anal=   0.00000000,  fd=  -0.00054759,  err=   0.00054759 (at    0.00003274   -0.00099962    0.00000000)
iface=   4, ipnt= 106 (Y): anal=  -0.00844761,  fd=  -0.00024820,  err=  -0.00819940 (at    0.00003274   -0.00099962    0.00000000)
iface=   4, ipnt= 107 (X): anal=   0.00000000,  fd=  -0.00212361,  err=   0.00212361 (at    0.00012955   -0.00199546    0.00000000)
iface=   4, ipnt= 107 (Y): anal=  -0.01678603,  fd=  -0.00060928,  err=  -0.01617676 (at    0.00012955   -0.00199546    0.00000000)
iface=   4, ipnt= 108 (X): anal=   0.00000000,  fd=  -0.00796044,  err=   0.00796044 (at    0.00050691   -0.00396065    0.00000000)
iface=   4, ipnt= 108 (Y): anal=  -0.03309834,  fd=  -0.00212153,  err=  -0.03097680 (at    0.00050691   -0.00396065    0.00000000)
iface=   4, ipnt= 109 (X): anal=   0.00000000,  fd=  -0.02729296,  err=   0.02729296 (at    0.00193307   -0.00768665    0.00000000)
iface=   4, ipnt= 109 (Y): anal=  -0.06400699,  fd=  -0.01074388,  err=  -0.05326311 (at    0.00193307   -0.00768665    0.00000000)
iface=   4, ipnt= 110 (X): anal=   0.00000000,  fd=  -0.07063589,  err=   0.07063589 (at    0.00669539   -0.01406302    0.00000000)
iface=   4, ipnt= 110 (Y): anal=  -0.11720523,  fd=  -0.04584425,  err=  -0.07136098 (at    0.00669539   -0.01406302    0.00000000)
...too many errors to list
    d(Face)/d(thickness) check complete with      128 total errors (errmax=  1.7613e-01)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.8960e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "camber" for ibody=22
iface=   1, ipnt= 148 (Y): anal=   0.00023024,  fd=   0.00052223,  err=  -0.00029199 (at    0.00003274    0.00099962    0.00000000)
iface=   1, ipnt= 149 (Y): anal=   0.00073690,  fd=   0.00136112,  err=  -0.00062422 (at    0.00012955    0.00199546    0.00000000)
iface=   1, ipnt= 150 (X): anal=  -0.01977744,  fd=  -0.01942102,  err=  -0.00035642 (at    0.00050691    0.00396065    0.00000000)
iface=   1, ipnt= 150 (Y): anal=   0.00258581,  fd=   0.00392515,  err=  -0.00133934 (at    0.00050691    0.00396065    0.00000000)
iface=   1, ipnt= 151 (X): anal=  -0.03824645,  fd=  -0.03695358,  err=  -0.00129287 (at    0.00193307    0.00768665    0.00000000)
iface=   1, ipnt= 151 (Y): anal=   0.00961427,  fd=   0.01215870,  err=  -0.00254443 (at    0.00193307    0.00768665    0.00000000)
iface=   1, ipnt= 152 (X): anal=  -0.06913770,  fd=  -0.06541340,  err=  -0.00372431 (at    0.00669539    0.01406302    0.00000000)
iface=   1, ipnt= 152 (Y): anal=   0.03320393,  fd=   0.03695678,  err=  -0.00375285 (at    0.00669539    0.01406302    0.00000000)
iface=   1, ipnt= 153 (X): anal=  -0.11112792,  fd=  -0.10369162,  err=  -0.00743631 (at    0.01958290    0.02336966    0.00000000)
iface=   1, ipnt= 153 (Y): anal=   0.09551844,  fd=   0.09962987,  err=  -0.00411143 (at    0.01958290    0.02336966    0.00000000)
...too many errors to list
iface=   2, ipnt=  30 (X): anal=   0.01419025,  fd=   0.00326382,  err=   0.01092643 (at    0.96845349    0.00449332    0.00000000)
iface=   2, ipnt=  30 (Y): anal=   0.10239062,  fd=   0.10391577,  err=  -0.00152515 (at    0.96845349    0.00449332    0.00000000)
iface=   2, ipnt=  31 (X): anal=   0.02628813,  fd=   0.00518024,  err=   0.02110789 (at    0.93688252    0.00881359    0.00000000)
iface=   2, ipnt=  31 (Y): anal=   0.19932543,  fd=   0.20215724,  err=  -0.00283181 (at    0.93688252    0.00881359    0.00000000)
iface=   2, ipnt=  32 (X): anal=   0.04465999,  fd=   0.00532443,  err=   0.03933556 (at    0.87367685    0.01697106    0.00000000)
iface=   2, ipnt=  32 (Y): anal=   0.37675066,  fd=   0.38163334,  err=  -0.00488268 (at    0.87367685    0.01697106    0.00000000)
iface=   2, ipnt=  33 (X): anal=   0.06076680,  fd=  -0.00711215,  err=   0.06787895 (at    0.74705093    0.03151706    0.00000000)
iface=   2, ipnt=  33 (Y): anal=   0.66543236,  fd=   0.67261480,  err=  -0.00718244 (at    0.74705093    0.03151706    0.00000000)
iface=   2, ipnt=  34 (X): anal=   0.05352354,  fd=  -0.03356377,  err=   0.08708732 (at    0.62018138    0.04375586    0.00000000)
iface=   2, ipnt=  34 (Y): anal=   0.86533379,  fd=   0.87287970,  err=  -0.00754592 (at    0.62018138    0.04375586    0.00000000)
...too many errors to list
iface=   3, ipnt= 148 (X): anal=  -0.01419025,  fd=  -0.00326365,  err=  -0.01092660 (at    0.96845349   -0.00449332    0.00000000)
iface=   3, ipnt= 148 (Y): anal=   0.10239062,  fd=   0.10391577,  err=  -0.00152515 (at    0.96845349   -0.00449332    0.00000000)
iface=   3, ipnt= 149 (X): anal=  -0.02628813,  fd=  -0.00517993,  err=  -0.02110820 (at    0.93688252   -0.00881359    0.00000000)
iface=   3, ipnt= 149 (Y): anal=   0.19932543,  fd=   0.20215724,  err=  -0.00283180 (at    0.93688252   -0.00881359    0.00000000)
iface=   3, ipnt= 150 (X): anal=  -0.04465999,  fd=  -0.00532395,  err=  -0.03933603 (at    0.87367685   -0.01697106    0.00000000)
iface=   3, ipnt= 150 (Y): anal=   0.37675066,  fd=   0.38163331,  err=  -0.00488265 (at    0.87367685   -0.01697106    0.00000000)
iface=   3, ipnt= 151 (X): anal=  -0.06076680,  fd=   0.00711262,  err=  -0.06787942 (at    0.74705093   -0.03151706    0.00000000)
iface=   3, ipnt= 151 (Y): anal=   0.66543236,  fd=   0.67261471,  err=  -0.00718235 (at    0.74705093   -0.03151706    0.00000000)
iface=   3, ipnt= 152 (X): anal=  -0.05352354,  fd=   0.03356389,  err=  -0.08708743 (at    0.62018138   -0.04375586    0.00000000)
iface=   3, ipnt= 152 (Y): anal=   0.86533379,  fd=   0.87287957,  err=  -0.00754578 (at    0.62018138   -0.04375586    0.00000000)
...too many errors to list
iface=   4, ipnt= 106 (Y): anal=   0.00023024,  fd=   0.00052225,  err=  -0.00029201 (at    0.00003274   -0.00099962    0.00000000)
iface=   4, ipnt= 107 (Y): anal=   0.00073690,  fd=   0.00136116,  err=  -0.00062426 (at    0.00012955   -0.00199546    0.00000000)
iface=   4, ipnt= 108 (X): anal=   0.01977744,  fd=   0.01942102,  err=   0.00035643 (at    0.00050691   -0.00396065    0.00000000)
iface=   4, ipnt= 108 (Y): anal=   0.00258581,  fd=   0.00392523,  err=  -0.00133942 (at    0.00050691   -0.00396065    0.00000000)
iface=   4, ipnt= 109 (X): anal=   0.03824645,  fd=   0.03695357,  err=   0.00129288 (at    0.00193307   -0.00768665    0.00000000)
iface=   4, ipnt= 109 (Y): anal=   0.00961427,  fd=   0.01215886,  err=  -0.00254459 (at    0.00193307   -0.00768665    0.00000000)
iface=   4, ipnt= 110 (X): anal=   0.06913770,  fd=   0.06541336,  err=   0.00372434 (at    0.00669539   -0.01406302    0.00000000)
iface=   4, ipnt= 110 (Y): anal=   0.03320393,  fd=   0.03695709,  err=  -0.00375315 (at    0.00669539   -0.01406302    0.00000000)
iface=   4, ipnt= 111 (X): anal=   0.11112792,  fd=   0.10369144,  err=   0.00743649 (at    0.01958290   -0.02336966    0.00000000)
iface=   4, ipnt= 111 (Y): anal=   0.09551844,  fd=   0.09963041,  err=  -0.00411196 (at    0.01958290   -0.02336966    0.00000000)
...too many errors to list
    d(Face)/d(camber) check complete with      112 total errors (errmax=  9.8604e-02)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.3375e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "croot" for ibody=22
    d(Face)/d(croot) check complete with        0 total errors (errmax=  1.7781e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  1.7514e-05)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  8.6643e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "aspect" for ibody=22
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.4026e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.4026e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "taper" for ibody=22
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.7057e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8792e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6137e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "twist" for ibody=22
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.2858e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.3589e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.4348e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "lesweep" for ibody=22
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  3.2468e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  4.3353e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "dihedral" for ibody=22
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.2568e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  9.9702e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "rottip" for ibody=22
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  3.9233e-08)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.4649e-07)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "xbase" for ibody=22
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.5562e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "ybase" for ibody=22
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.2683e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.3646e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22

Comparing configuration sensitivities wrt "zbase" for ibody=22
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.427 sec

Sensitivity checks complete with      240 tnotal errors (max config err=  1.7613e-01) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=22
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.850 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "thickness" for ibody=20
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.2242e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  3.9168e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "camber" for ibody=20
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.0467e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.0700e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  8.8818e-17)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "croot" for ibody=20
    d(Face)/d(croot) check complete with        0 total errors (errmax=  1.3645e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  7.9034e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  6.9069e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "aspect" for ibody=20
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.8467e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.8467e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "taper" for ibody=20
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.7057e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8792e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6137e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "twist" for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.2960e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.3694e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.4348e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "lesweep" for ibody=20
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  4.2789e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  5.9745e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "dihedral" for ibody=20
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.1602e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.0680e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "rottip" for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  3.9886e-08)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.4649e-07)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "xbase" for ibody=20
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.8527e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  2.9997e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "ybase" for ibody=20
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.6611e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  8.3646e-11)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "zbase" for ibody=20
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      3.426 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.2242e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.8169e-08)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.2585e-08)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.3823e-07)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  2.5950e-07)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479745    0.31509917    3.59998524, dist=   0.00014221 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479755    0.31509991   -3.59998522, dist=   0.00014296 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479768    0.31481763   -3.60000990, dist=   0.00014339 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479775    0.31481714    3.60000998, dist=   0.00014388 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=  13: anal=   0.63541191    0.31495919   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63541191    0.31495919    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(croot) check complete with        2 total errors (errmax=  3.1496e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43621191    0.31527415   -3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43621191    0.31527415    3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(croot) check complete with        4 total errors (errmax=  3.8882e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=  13: anal=   0.63541191    0.31495919   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63541191    0.31495919    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  3.1496e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43541191    0.31527415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43541191    0.31527415    3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479977    0.31511521    3.59998357, dist=   0.00015851 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479980    0.31511544   -3.59998358, dist=   0.00015874 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479994    0.31480200   -3.60001099, dist=   0.00015922 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479996    0.31480185    3.60001103, dist=   0.00015937 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=  13: anal=   0.63512978    0.31495919   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00017498 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63512978    0.31495919    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00017498 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  1.7498e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43612978    0.31513417   -3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417   -3.60200000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43612978    0.31513417    3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417    3.60200000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417   -3.60200000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417    3.60200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.4208e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=  77: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63540544    0.31495871   -3.59988914, dist=   0.00063802 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 333: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63540544    0.31495871    3.59988913, dist=   0.00063801 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63540543    0.31494949    3.59988913, dist=   0.00063808 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt= 256: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63540544    0.31494949   -3.59988914, dist=   0.00063809 (at    0.63477713    0.31495919   -3.60000000)
    d(Face)/d(lesweep) check complete with        4 total errors (errmax=  6.3809e-04)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.6697e-08)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43542500    0.31495919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43542500    0.31495919    3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919    3.60000000)
    d(Node)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477324    0.31527293    3.59996776, dist=   0.00031542 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477324    0.31527293   -3.59996776, dist=   0.00031542 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  77: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527575   -3.59999999, dist=   0.00031657 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 333: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527575    3.59999999, dist=   0.00031657 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43473230    0.31526773   -3.59997839, dist=   0.00031253 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43473230    0.31526773    3.59997839, dist=   0.00031253 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(dihedral) check complete with        6 total errors (errmax=  3.1657e-04)
iedge=   2, ipnt=  13: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(dihedral) check complete with        2 total errors (errmax=  3.1657e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31527576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31527576    3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576    3.60000000)
    d(Node)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3810e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.7910e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7807e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7807e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.560 sec

Sensitivity checks complete with       58 total errors (max tessel err=  3.8882e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "thickness" for ibody=18
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.4672e-05)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  3.9168e-05)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "camber" for ibody=18
    d(Face)/d(camber) check complete with        0 total errors (errmax=  1.0467e-05)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  1.0700e-05)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  8.8818e-17)
 

*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "croot" for ibody=18
    d(Face)/d(croot) check complete with        0 total errors (errmax=  1.3641e-05)
    d(Edge)/d(croot) check complete with        0 total errors (errmax=  7.9034e-06)
    d(Node)/d(croot) check complete with        0 total errors (errmax=  6.9069e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "aspect" for ibody=18
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.4026e-09)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.4026e-09)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.1442e-10)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "taper" for ibody=18
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.7050e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  9.8792e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  8.6137e-09)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "twist" for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.2960e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  3.3694e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.4348e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "lesweep" for ibody=18
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  3.8662e-10)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  4.2109e-10)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4859e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "dihedral" for ibody=18
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  2.1979e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.5468e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  4.4260e-11)
 

*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "rottip" for ibody=18
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  3.9524e-08)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.4649e-07)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.4403e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "xbase" for ibody=18
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.5638e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.1396e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "ybase" for ibody=18
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.3302e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.3667e-10)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "zbase" for ibody=18
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.791 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  4.4672e-05) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designD6c2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thickness"
*********************************************************

Generating perturbed configuration with delta-thickness[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(thickness) check complete with        0 total errors (errmax=  4.9477e-08)
    d(Edge)/d(thickness) check complete with        0 total errors (errmax=  4.2585e-08)
    d(Node)/d(thickness) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber"
*********************************************************

Generating perturbed configuration with delta-camber[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(camber) check complete with        0 total errors (errmax=  3.3121e-07)
    d(Edge)/d(camber) check complete with        0 total errors (errmax=  2.5950e-07)
    d(Node)/d(camber) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "croot"
*********************************************************

Generating perturbed configuration with delta-croot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479750    0.31509954    3.59998523, dist=   0.00014259 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479750    0.31509954   -3.59998523, dist=   0.00014259 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479771    0.31481738   -3.60000994, dist=   0.00014363 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479771    0.31481738    3.60000994, dist=   0.00014363 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(croot) check complete with        8 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=  13: anal=   0.63541191    0.31495919   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63541191    0.31495919    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(croot) check complete with        2 total errors (errmax=  3.1496e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43621191    0.31527415   -3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43621191    0.31527415    3.60360000, dist=   0.00388816 (at    1.43621191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(croot) check complete with        4 total errors (errmax=  3.8882e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00800000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60360000, dist=   0.00360000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60360000, dist=   0.00360000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  3.6000e-03)
iedge=   2, ipnt=  13: anal=   0.63541191    0.31495919   -3.60360000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63541191    0.31495919    3.60360000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00031496 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  3.1496e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43541191    0.31527415   -3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415   -3.60360000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43541191    0.31527415    3.60360000, dist=   0.00366908 (at    1.43541191    0.31527415    3.60360000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63541191    0.31527415   -3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415   -3.60360000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63541191    0.31527415    3.60360000, dist=   0.00366908 (at    0.63541191    0.31527415    3.60360000)
    d(Node)/d(aspect) check complete with        4 total errors (errmax=  3.6691e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479979    0.31511533    3.59998358, dist=   0.00015863 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479979    0.31511533   -3.59998358, dist=   0.00015863 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43479995    0.31480192   -3.60001101, dist=   0.00015929 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43479995    0.31480192    3.60001101, dist=   0.00015929 (at    1.43477713    0.31495919    3.60000000)
iface=   3, ipnt=   0: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31495919   -3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919   -3.60000000)
iface=   3, ipnt=  13: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31495919   -3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919   -3.60000000)
iface=   4, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31495919    3.60200000, dist=   0.00200000 (at    1.43477713    0.31495919    3.60000000)
iface=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31495919    3.60200000, dist=   0.00200000 (at    0.63477713    0.31495919    3.60000000)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.0000e-03)
iedge=   2, ipnt=  13: anal=   0.63512978    0.31495919   -3.60200000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00017498 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63512978    0.31495919    3.60200000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00017498 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  1.7498e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43612978    0.31513417   -3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417   -3.60200000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43612978    0.31513417    3.60200000, dist=   0.00242080 (at    1.43612978    0.31513417    3.60200000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63512978    0.31513417   -3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417   -3.60200000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63512978    0.31513417    3.60200000, dist=   0.00203838 (at    0.63512978    0.31513417    3.60200000)
    d(Node)/d(taper) check complete with        4 total errors (errmax=  2.4208e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.01000000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=  77: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63540544    0.31495871   -3.59988913, dist=   0.00063801 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 333: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63540544    0.31495871    3.59988913, dist=   0.00063801 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt=   0: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63540544    0.31494949    3.59988914, dist=   0.00063808 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt= 256: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63540544    0.31494949   -3.59988914, dist=   0.00063808 (at    0.63477713    0.31495919   -3.60000000)
    d(Face)/d(lesweep) check complete with        4 total errors (errmax=  6.3808e-04)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.6697e-08)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43542500    0.31495919   -3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43542500    0.31495919    3.60000000, dist=   0.00064787 (at    1.43542500    0.31495919    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63542500    0.31495919   -3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63542500    0.31495919    3.60000000, dist=   0.00064787 (at    0.63542500    0.31495919    3.60000000)
    d(Node)/d(lesweep) check complete with        4 total errors (errmax=  6.4787e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
iface=   1, ipnt=   0: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477324    0.31527293    3.59996776, dist=   0.00031542 (at    1.43477713    0.31495919    3.60000000)
iface=   1, ipnt=  64: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477324    0.31527293   -3.59996776, dist=   0.00031542 (at    1.43477713    0.31495919   -3.60000000)
iface=   1, ipnt=  77: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527575   -3.59999999, dist=   0.00031657 (at    0.63477713    0.31495919   -3.60000000)
iface=   1, ipnt= 333: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527575    3.59999999, dist=   0.00031657 (at    0.63477713    0.31495919    3.60000000)
iface=   2, ipnt= 269: anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43473230    0.31526773   -3.59997839, dist=   0.00031253 (at    1.43477713    0.31495919   -3.60000000)
iface=   2, ipnt= 333: anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43473230    0.31526773    3.59997839, dist=   0.00031253 (at    1.43477713    0.31495919    3.60000000)
    d(Face)/d(dihedral) check complete with        6 total errors (errmax=  3.1657e-04)
iedge=   2, ipnt=  13: anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31495919   -3.60000000)
iedge=   4, ipnt=  13: anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31495919    3.60000000)
    d(Edge)/d(dihedral) check complete with        2 total errors (errmax=  3.1657e-04)
inode=   1:            anal=   1.43477713    0.31495919   -3.60000000, ptrb=   1.43477713    0.31527576   -3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576   -3.60000000)
inode=   2:            anal=   1.43477713    0.31495919    3.60000000, ptrb=   1.43477713    0.31527576    3.60000000, dist=   0.00031657 (at    1.43477713    0.31527576    3.60000000)
inode=   3:            anal=   0.63477713    0.31495919   -3.60000000, ptrb=   0.63477713    0.31527576   -3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576   -3.60000000)
inode=   4:            anal=   0.63477713    0.31495919    3.60000000, ptrb=   0.63477713    0.31527576    3.60000000, dist=   0.00031657 (at    0.63477713    0.31527576    3.60000000)
    d(Node)/d(dihedral) check complete with        4 total errors (errmax=  3.1657e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "rottip"
*********************************************************

Generating perturbed configuration with delta-rottip[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
    d(Edge)/d(rottip) check complete with        0 total errors (errmax=  1.3810e-05)
    d(Node)/d(rottip) check complete with        0 total errors (errmax=  1.3963e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.8150e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7936e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7979e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.899 sec

Sensitivity checks complete with       58 total errors (max tessel err=  3.8882e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dxbar" for ibody=8
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dybar" for ibody=8
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dzbar" for ibody=8
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dxbox" for ibody=8
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dybox" for ibody=8
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dzbox" for ibody=8
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.034 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.0280e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dxbar"
*********************************************************

Generating perturbed configuration with delta-dxbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dybar"
*********************************************************

Generating perturbed configuration with delta-dybar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbar"
*********************************************************

Generating perturbed configuration with delta-dzbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbox"
*********************************************************

Generating perturbed configuration with delta-dxbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dybox"
*********************************************************

Generating perturbed configuration with delta-dybox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbox"
*********************************************************

Generating perturbed configuration with delta-dzbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.051 sec

Sensitivity checks complete with        0 total errors (max tessel err=  8.8819e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dxbar" for ibody=12
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dybar" for ibody=12
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  8.8821e-10)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dzbar" for ibody=12
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  8.8824e-10)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  2.6755e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dxbox" for ibody=12
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  1.0280e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dybox" for ibody=12
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dzbox" for ibody=12
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.089 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.0280e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dxbar"
*********************************************************

Generating perturbed configuration with delta-dxbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  2.6658e-15)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  1.7833e-15)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dybar"
*********************************************************

Generating perturbed configuration with delta-dybar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  4.4427e-15)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  2.1397e-13)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbar"
*********************************************************

Generating perturbed configuration with delta-dzbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  4.4434e-15)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  1.0716e-13)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbox"
*********************************************************

Generating perturbed configuration with delta-dxbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  3.5528e-15)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  2.6692e-15)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dybox"
*********************************************************

Generating perturbed configuration with delta-dybox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  4.4434e-15)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  2.2937e-13)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbox"
*********************************************************

Generating perturbed configuration with delta-dzbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  4.4434e-15)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  2.4358e-13)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.067 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.4358e-13) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "thick" for ibody=29
    d(Face)/d(thick) check complete with        0 total errors (errmax=  1.2083e-10)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  7.0018e-11)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dxbar" for ibody=29
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dybar" for ibody=29
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  8.8818e-10)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  8.8829e-10)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dzbar" for ibody=29
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dxbox" for ibody=29
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  1.9161e-09)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  1.9161e-09)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dybox" for ibody=29
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dzbox" for ibody=29
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  1.7764e-09)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.477 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.9161e-09) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(thick) check complete with        0 total errors (errmax=  2.6652e-15)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  8.8905e-16)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbar"
*********************************************************

Generating perturbed configuration with delta-dxbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  3.5544e-15)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  2.6657e-15)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dybar"
*********************************************************

Generating perturbed configuration with delta-dybar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  2.6654e-15)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  3.0019e-13)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbar"
*********************************************************

Generating perturbed configuration with delta-dzbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  2.6652e-15)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  1.6929e-13)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbox"
*********************************************************

Generating perturbed configuration with delta-dxbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  3.5537e-15)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  6.4268e-15)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dybox"
*********************************************************

Generating perturbed configuration with delta-dybox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  2.6652e-15)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  3.0646e-13)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbox"
*********************************************************

Generating perturbed configuration with delta-dzbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  2.6652e-15)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  1.1115e-13)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.295 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.0646e-13) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "thick" for ibody=29
    d(Face)/d(thick) check complete with        0 total errors (errmax=  8.1757e-08)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  7.0492e-08)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.0951e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dxbar" for ibody=29
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  9.6989e-07)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  9.6989e-07)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  3.6404e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dybar" for ibody=29
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  2.6645e-09)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  2.6645e-09)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dzbar" for ibody=29
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  2.6645e-09)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  2.6646e-09)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dxbox" for ibody=29
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  9.6989e-07)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  9.6989e-07)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  3.6404e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dybox" for ibody=29
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  3.5527e-09)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  3.5527e-09)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29

Comparing configuration sensitivities wrt "dzbox" for ibody=29
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  3.5527e-09)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  3.5527e-09)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.219 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  9.6989e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(thick) check complete with        0 total errors (errmax=  1.0679e-06)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  4.6749e-07)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  1.5102e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbar"
*********************************************************

Generating perturbed configuration with delta-dxbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dxbar) check complete with        0 total errors (errmax=  1.3712e-06)
    d(Edge)/d(dxbar) check complete with        0 total errors (errmax=  1.3712e-06)
    d(Node)/d(dxbar) check complete with        0 total errors (errmax=  5.1281e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "dybar"
*********************************************************

Generating perturbed configuration with delta-dybar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dybar) check complete with        0 total errors (errmax=  6.2896e-14)
    d(Edge)/d(dybar) check complete with        0 total errors (errmax=  3.4042e-13)
    d(Node)/d(dybar) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbar"
*********************************************************

Generating perturbed configuration with delta-dzbar[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dzbar) check complete with        0 total errors (errmax=  6.2937e-14)
    d(Edge)/d(dzbar) check complete with        0 total errors (errmax=  3.8321e-13)
    d(Node)/d(dzbar) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbox"
*********************************************************

Generating perturbed configuration with delta-dxbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dxbox) check complete with        0 total errors (errmax=  1.3712e-06)
    d(Edge)/d(dxbox) check complete with        0 total errors (errmax=  1.3712e-06)
    d(Node)/d(dxbox) check complete with        0 total errors (errmax=  5.1281e-09)
 

*********************************************************
Starting tessellation sensitivity wrt "dybox"
*********************************************************

Generating perturbed configuration with delta-dybox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dybox) check complete with        0 total errors (errmax=  6.2896e-14)
    d(Edge)/d(dybox) check complete with        0 total errors (errmax=  1.9114e-13)
    d(Node)/d(dybox) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbox"
*********************************************************

Generating perturbed configuration with delta-dzbox[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=29
Computing distances of perturbed points from perturbed configuration for ibody=29
    d(Face)/d(dzbox) check complete with        0 total errors (errmax=  6.2896e-14)
    d(Edge)/d(dzbox) check complete with        0 total errors (errmax=  2.2446e-13)
    d(Node)/d(dzbox) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.164 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.5102e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "xcent" for ibody=5
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  4.3299e-07)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  8.6407e-07)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  8.6407e-07)
 

*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "ycent" for ibody=5
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "thick" for ibody=5
    d(Face)/d(thick) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "rad" for ibody=5
    d(Face)/d(rad) check complete with        0 total errors (errmax=  2.4105e-07)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  4.8610e-07)
 

*********************************************************
Starting configuration sensitivity wrt "xbox"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "xbox" for ibody=5
    d(Face)/d(xbox) check complete with        0 total errors (errmax=  4.2862e-07)
    d(Edge)/d(xbox) check complete with        0 total errors (errmax=  8.6433e-07)
    d(Node)/d(xbox) check complete with        0 total errors (errmax=  8.6433e-07)
 

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dx" for ibody=5
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.0722e-07)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.1723e-07)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  2.1723e-07)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dy" for ibody=5
    d(Face)/d(dy) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "dz" for ibody=5
    d(Face)/d(dz) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  4.1133e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.135 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.6433e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xcent"
*********************************************************

Generating perturbed configuration with delta-xcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  5.7143e-07)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  8.6466e-07)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  8.6466e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "ycent"
*********************************************************

Generating perturbed configuration with delta-ycent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  9.4206e-16)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "thick"
*********************************************************

Generating perturbed configuration with delta-thick[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(thick) check complete with        0 total errors (errmax=  6.6628e-16)
    d(Edge)/d(thick) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(thick) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "rad"
*********************************************************

Generating perturbed configuration with delta-rad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(rad) check complete with        0 total errors (errmax=  1.2844e-06)
    d(Edge)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
    d(Node)/d(rad) check complete with        0 total errors (errmax=  1.9394e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "xbox"
*********************************************************

Generating perturbed configuration with delta-xbox[1,1]=   0.00140000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(xbox) check complete with        0 total errors (errmax=  1.1200e-06)
    d(Edge)/d(xbox) check complete with        0 total errors (errmax=  1.6953e-06)
    d(Node)/d(xbox) check complete with        0 total errors (errmax=  1.6953e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.4286e-07)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.1607e-07)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  2.1607e-07)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dy) check complete with        0 total errors (errmax=  9.4206e-16)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(dz) check complete with        0 total errors (errmax=  9.4206e-16)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  1.1102e-15)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.014 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.9394e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "xsize" for ibody=3
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "ysize" for ibody=3
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  4.1133e-11)
 

*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "zsize" for ibody=3
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  2.0317e-11)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  2.0317e-11)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  2.0317e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.007 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.2267e-11) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xsize"
*********************************************************

Generating perturbed configuration with delta-xsize[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(xsize) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(xsize) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(xsize) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ysize"
*********************************************************

Generating perturbed configuration with delta-ysize[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(ysize) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(ysize) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(ysize) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zsize"
*********************************************************

Generating perturbed configuration with delta-zsize[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(zsize) check complete with        0 total errors (errmax=  4.6054e-11)
    d(Edge)/d(zsize) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(zsize) check complete with        0 total errors (errmax=  3.9252e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.067 sec

Sensitivity checks complete with        0 total errors (max tessel err=  4.6054e-11) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE7.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "dx" for ibody=6
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "xcent" for ibody=6
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ycent" for ibody=6
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  2.8756e-11)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  2.8756e-11)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "size"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "size" for ibody=6
    d(Face)/d(size) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(size) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(size) check complete with        0 total errors (errmax=  6.9889e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.056 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE7.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(dx) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "xcent"
*********************************************************

Generating perturbed configuration with delta-xcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ycent"
*********************************************************

Generating perturbed configuration with delta-ycent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(ycent) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(ycent) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(ycent) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "size"
*********************************************************

Generating perturbed configuration with delta-size[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(size) check complete with        0 total errors (errmax=  2.2888e-16)
    d(Edge)/d(size) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(size) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.442 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.2889e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE8.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "dx" for ibody=7
    d(Face)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "xcent" for ibody=7
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  1.5216e-10)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.1152e-10)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  1.1102e-10)
 

*********************************************************
Starting configuration sensitivity wrt "size"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "size" for ibody=7
    d(Face)/d(size) check complete with        0 total errors (errmax=  1.4021e-10)
    d(Edge)/d(size) check complete with        0 total errors (errmax=  1.4021e-10)
    d(Node)/d(size) check complete with        0 total errors (errmax=  5.8372e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.037 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.5216e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE8.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(dx) check complete with        0 total errors (errmax=  2.7756e-16)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "xcent"
*********************************************************

Generating perturbed configuration with delta-xcent[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(xcent) check complete with        0 total errors (errmax=  2.6185e-16)
    d(Edge)/d(xcent) check complete with        0 total errors (errmax=  1.2452e-16)
    d(Node)/d(xcent) check complete with        0 total errors (errmax=  2.5262e-17)
 

*********************************************************
Starting tessellation sensitivity wrt "size"
*********************************************************

Generating perturbed configuration with delta-size[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(size) check complete with        0 total errors (errmax=  2.4825e-16)
    d(Edge)/d(size) check complete with        0 total errors (errmax=  1.2413e-16)
    d(Node)/d(size) check complete with        0 total errors (errmax=  1.1102e-19)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.297 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.7757e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designE9.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dx" for ibody=8
    d(Face)/d(dx) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dy" for ibody=8
    d(Face)/d(dy) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxall"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dxall" for ibody=8
    d(Face)/d(dxall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dxall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dxall) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dyall"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dyall" for ibody=8
    d(Face)/d(dyall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dyall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dyall) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dzall"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dzall" for ibody=8
    d(Face)/d(dzall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dzall) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dzall) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.074 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.2267e-11) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designE9.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dx"
*********************************************************

Generating perturbed configuration with delta-dx[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dx) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(dx) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dx) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dy) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxall"
*********************************************************

Generating perturbed configuration with delta-dxall[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dxall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(dxall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(dxall) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dyall"
*********************************************************

Generating perturbed configuration with delta-dyall[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dyall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(dyall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(dyall) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzall"
*********************************************************

Generating perturbed configuration with delta-dzall[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dzall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Edge)/d(dzall) check complete with        0 total errors (errmax=  8.6736e-19)
    d(Node)/d(dzall) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.117 sec

Sensitivity checks complete with        0 total errors (max tessel err=  5.5521e-17) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designEa.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dxtop"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "dxtop" for ibody=7
    d(Face)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dztop"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "dztop" for ibody=7
    d(Face)/d(dztop) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dztop) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dztop) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dxbot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "dxbot" for ibody=7
    d(Face)/d(dxbot) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dxbot) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dxbot) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dzbot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7

Comparing configuration sensitivities wrt "dzbot" for ibody=7
    d(Face)/d(dzbot) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dzbot) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dzbot) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.033 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designEa.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dxtop"
*********************************************************

Generating perturbed configuration with delta-dxtop[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(dxtop) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(dxtop) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(dxtop) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "dztop"
*********************************************************

Generating perturbed configuration with delta-dztop[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(dztop) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dztop) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(dztop) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbot"
*********************************************************

Generating perturbed configuration with delta-dxbot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(dxbot) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(dxbot) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(dxbot) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dzbot"
*********************************************************

Generating perturbed configuration with delta-dzbot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=7
Computing distances of perturbed points from perturbed configuration for ibody=7
    d(Face)/d(dzbot) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dzbot) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(dzbot) check complete with        0 total errors (errmax=  1.1102e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.336 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.2205e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designEb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "dxtop"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dxtop" for ibody=8
    d(Face)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dxtop) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dxbot"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dxbot" for ibody=8
    d(Face)/d(dxbot) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dxbot) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dxbot) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dy" for ibody=8
    d(Face)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dz" for ibody=8
    d(Face)/d(dz) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.041 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designEb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "dxtop"
*********************************************************

Generating perturbed configuration with delta-dxtop[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dxtop) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dxtop) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(dxtop) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dxbot"
*********************************************************

Generating perturbed configuration with delta-dxbot[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dxbot) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(dxbot) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(dxbot) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dy"
*********************************************************

Generating perturbed configuration with delta-dy[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dy) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "dz"
*********************************************************

Generating perturbed configuration with delta-dz[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dz) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.092 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.1103e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF0bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  6.6536e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.7578e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  6.8880e-11)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  7.4840e-10)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.6569e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  4.0771e-07)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.5447e-26)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  6.5543e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  7.9217e-07)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.5447e-26)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.4220e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(height) check complete with        0 total errors (errmax=  1.0606e-27)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface=   1, ipnt=  30 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  30 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  31 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000    0.19509030   -0.49038610)
iface=   1, ipnt=  33 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000    0.38267602   -0.46193279)
iface=   1, ipnt=  49 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000    0.38267602    0.46193279)
iface=   1, ipnt=  51 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000    0.19509030    0.49038610)
iface=   1, ipnt=  52 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt=  52 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt= 133 (Z): anal=  -0.60186095,  fd=  -0.60234449,  err=   0.00048354 (at   -1.86546499    0.07792190   -0.68651137)
iface=   1, ipnt= 134 (Z): anal=  -0.59197028,  fd=  -0.59239985,  err=   0.00042957 (at   -1.86952774    0.16292480   -0.67877755)
...too many errors to list
iface=   3, ipnt=  30 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627    0.49758527)
iface=   3, ipnt=  30 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000   -0.09801627    0.49758527)
iface=   3, ipnt=  31 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000   -0.19509030    0.49038610)
iface=   3, ipnt=  33 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000   -0.38267602    0.46193279)
iface=   3, ipnt=  49 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000   -0.38267602   -0.46193279)
iface=   3, ipnt=  51 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000   -0.19509030   -0.49038610)
iface=   3, ipnt=  52 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   3, ipnt=  52 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   3, ipnt= 133 (Z): anal=   0.60186095,  fd=   0.60234449,  err=  -0.00048354 (at   -1.86546499   -0.07792190    0.68651137)
iface=   3, ipnt= 134 (Z): anal=   0.59197028,  fd=   0.59239985,  err=  -0.00042957 (at   -1.86952774   -0.16292480    0.67877755)
...too many errors to list
    d(Face)/d(width) check complete with      288 total errors (errmax=  6.6869e-04)
iedge=   2, ipnt=   1 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000    0.09801627   -0.49758527)
iedge=   2, ipnt=   2 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000    0.19509030   -0.49038610)
iedge=   2, ipnt=   4 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000    0.38267602   -0.46193279)
iedge=   2, ipnt=  20 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000    0.38267602    0.46193279)
iedge=   2, ipnt=  22 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000    0.19509030    0.49038610)
iedge=   2, ipnt=  23 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000    0.09801627    0.49758527)
iedge=   8, ipnt=   1 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000   -0.09801627    0.49758527)
iedge=   8, ipnt=   2 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000   -0.19509030    0.49038610)
iedge=   8, ipnt=   4 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000   -0.38267602    0.46193279)
iedge=   8, ipnt=  20 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000   -0.38267602   -0.46193279)
iedge=   8, ipnt=  22 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000   -0.19509030   -0.49038610)
iedge=   8, ipnt=  23 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000   -0.09801627   -0.49758527)
    d(Edge)/d(width) check complete with       12 total errors (errmax=  6.8678e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  2.8756e-11)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface=   1, ipnt=  83 (Z): anal=   0.99939691,  fd=   0.99969710,  err=  -0.00030019 (at    0.00000000    0.02454111    0.99969710)
iface=   1, ipnt=  84 (Z): anal=   0.99828240,  fd=   0.99878982,  err=  -0.00050742 (at    0.00000000    0.04906730    0.99878982)
iface=   1, ipnt=  85 (Z): anal=   0.99448208,  fd=   0.99517053,  err=  -0.00068845 (at    0.00000000    0.09801627    0.99517053)
iface=   1, ipnt=  86 (Z): anal=   0.98033701,  fd=   0.98077221,  err=  -0.00043519 (at    0.00000000    0.19509030    0.98077221)
iface=   1, ipnt=  88 (Z): anal=   0.92405138,  fd=   0.92386559,  err=   0.00018580 (at    0.00000000    0.38267602    0.92386559)
iface=   1, ipnt=  89 (Z): anal=   0.88201503,  fd=   0.88191037,  err=   0.00010466 (at    0.00000000    0.47139236    0.88191037)
iface=   1, ipnt= 111 (Z): anal=  -0.88201503,  fd=  -0.88191037,  err=  -0.00010466 (at    0.00000000    0.47139236   -0.88191037)
iface=   1, ipnt= 112 (Z): anal=  -0.92405138,  fd=  -0.92386559,  err=  -0.00018580 (at    0.00000000    0.38267602   -0.92386559)
iface=   1, ipnt= 114 (Z): anal=  -0.98033701,  fd=  -0.98077221,  err=   0.00043519 (at    0.00000000    0.19509030   -0.98077221)
iface=   1, ipnt= 115 (Z): anal=  -0.99448208,  fd=  -0.99517053,  err=   0.00068845 (at    0.00000000    0.09801627   -0.99517053)
...too many errors to list
iface=   2, ipnt=  30 (Z): anal=  -0.99939691,  fd=  -0.99969710,  err=   0.00030019 (at    0.00000000    0.02454111   -0.99969710)
iface=   2, ipnt=  31 (Z): anal=  -0.99828240,  fd=  -0.99878982,  err=   0.00050742 (at    0.00000000    0.04906730   -0.99878982)
iface=   2, ipnt=  32 (Z): anal=  -0.99448208,  fd=  -0.99517053,  err=   0.00068845 (at    0.00000000    0.09801627   -0.99517053)
iface=   2, ipnt=  33 (Z): anal=  -0.98033701,  fd=  -0.98077221,  err=   0.00043519 (at    0.00000000    0.19509030   -0.98077221)
iface=   2, ipnt=  35 (Z): anal=  -0.92405138,  fd=  -0.92386559,  err=  -0.00018580 (at    0.00000000    0.38267602   -0.92386559)
iface=   2, ipnt=  36 (Z): anal=  -0.88201503,  fd=  -0.88191037,  err=  -0.00010466 (at    0.00000000    0.47139236   -0.88191037)
iface=   2, ipnt=  58 (Z): anal=   0.88201503,  fd=   0.88191037,  err=   0.00010466 (at    0.00000000    0.47139236    0.88191037)
iface=   2, ipnt=  59 (Z): anal=   0.92405138,  fd=   0.92386559,  err=   0.00018580 (at    0.00000000    0.38267602    0.92386559)
iface=   2, ipnt=  61 (Z): anal=   0.98033701,  fd=   0.98077221,  err=  -0.00043519 (at    0.00000000    0.19509030    0.98077221)
iface=   2, ipnt=  62 (Z): anal=   0.99448208,  fd=   0.99517053,  err=  -0.00068845 (at    0.00000000    0.09801627    0.99517053)
...too many errors to list
iface=   3, ipnt=  83 (Z): anal=  -0.99939691,  fd=  -0.99969710,  err=   0.00030019 (at    0.00000000   -0.02454111   -0.99969710)
iface=   3, ipnt=  84 (Z): anal=  -0.99828240,  fd=  -0.99878982,  err=   0.00050742 (at    0.00000000   -0.04906730   -0.99878982)
iface=   3, ipnt=  85 (Z): anal=  -0.99448208,  fd=  -0.99517053,  err=   0.00068845 (at    0.00000000   -0.09801627   -0.99517053)
iface=   3, ipnt=  86 (Z): anal=  -0.98033701,  fd=  -0.98077221,  err=   0.00043519 (at    0.00000000   -0.19509030   -0.98077221)
iface=   3, ipnt=  88 (Z): anal=  -0.92405138,  fd=  -0.92386559,  err=  -0.00018580 (at    0.00000000   -0.38267602   -0.92386559)
iface=   3, ipnt=  89 (Z): anal=  -0.88201503,  fd=  -0.88191037,  err=  -0.00010466 (at    0.00000000   -0.47139236   -0.88191037)
iface=   3, ipnt= 111 (Z): anal=   0.88201503,  fd=   0.88191037,  err=   0.00010466 (at    0.00000000   -0.47139236    0.88191037)
iface=   3, ipnt= 112 (Z): anal=   0.92405138,  fd=   0.92386559,  err=   0.00018580 (at    0.00000000   -0.38267602    0.92386559)
iface=   3, ipnt= 114 (Z): anal=   0.98033701,  fd=   0.98077221,  err=  -0.00043519 (at    0.00000000   -0.19509030    0.98077221)
iface=   3, ipnt= 115 (Z): anal=   0.99448208,  fd=   0.99517053,  err=  -0.00068845 (at    0.00000000   -0.09801627    0.99517053)
...too many errors to list
iface=   4, ipnt=  30 (Z): anal=   0.99939691,  fd=   0.99969710,  err=  -0.00030019 (at    0.00000000   -0.02454111    0.99969710)
iface=   4, ipnt=  31 (Z): anal=   0.99828240,  fd=   0.99878982,  err=  -0.00050742 (at    0.00000000   -0.04906730    0.99878982)
iface=   4, ipnt=  32 (Z): anal=   0.99448208,  fd=   0.99517053,  err=  -0.00068845 (at    0.00000000   -0.09801627    0.99517053)
iface=   4, ipnt=  33 (Z): anal=   0.98033701,  fd=   0.98077221,  err=  -0.00043519 (at    0.00000000   -0.19509030    0.98077221)
iface=   4, ipnt=  35 (Z): anal=   0.92405138,  fd=   0.92386559,  err=   0.00018580 (at    0.00000000   -0.38267602    0.92386559)
iface=   4, ipnt=  36 (Z): anal=   0.88201503,  fd=   0.88191037,  err=   0.00010466 (at    0.00000000   -0.47139236    0.88191037)
iface=   4, ipnt=  58 (Z): anal=  -0.88201503,  fd=  -0.88191037,  err=  -0.00010466 (at    0.00000000   -0.47139236   -0.88191037)
iface=   4, ipnt=  59 (Z): anal=  -0.92405138,  fd=  -0.92386559,  err=  -0.00018580 (at    0.00000000   -0.38267602   -0.92386559)
iface=   4, ipnt=  61 (Z): anal=  -0.98033701,  fd=  -0.98077221,  err=   0.00043519 (at    0.00000000   -0.19509030   -0.98077221)
iface=   4, ipnt=  62 (Z): anal=  -0.99448208,  fd=  -0.99517053,  err=   0.00068845 (at    0.00000000   -0.09801627   -0.99517053)
...too many errors to list
    d(Face)/d(width) check complete with      572 total errors (errmax=  6.8845e-04)
iedge=   4, ipnt=   1 (Z): anal=  -0.99878877,  fd=  -0.99908877,  err=   0.00030001 (at    0.00000000    0.02454111   -0.99969710)
iedge=   4, ipnt=   2 (Z): anal=  -0.99586100,  fd=  -0.99636719,  err=   0.00050618 (at    0.00000000    0.04906730   -0.99878982)
iedge=   4, ipnt=   3 (Z): anal=  -0.98490084,  fd=  -0.98558267,  err=   0.00068182 (at    0.00000000    0.09801627   -0.99517053)
iedge=   4, ipnt=   4 (Z): anal=  -0.94308367,  fd=  -0.94350232,  err=   0.00041866 (at    0.00000000    0.19509030   -0.98077221)
iedge=   4, ipnt=   6 (Z): anal=  -0.78865180,  fd=  -0.78849323,  err=  -0.00015857 (at    0.00000000    0.38267602   -0.92386559)
iedge=   4, ipnt=  30 (Z): anal=   0.78865180,  fd=   0.78849323,  err=   0.00015857 (at    0.00000000    0.38267602    0.92386559)
iedge=   4, ipnt=  32 (Z): anal=   0.94308367,  fd=   0.94350232,  err=  -0.00041866 (at    0.00000000    0.19509030    0.98077221)
iedge=   4, ipnt=  33 (Z): anal=   0.98490084,  fd=   0.98558267,  err=  -0.00068182 (at    0.00000000    0.09801627    0.99517053)
iedge=   4, ipnt=  34 (Z): anal=   0.99586100,  fd=   0.99636719,  err=  -0.00050618 (at    0.00000000    0.04906730    0.99878982)
iedge=   4, ipnt=  35 (Z): anal=   0.99878877,  fd=   0.99908877,  err=  -0.00030001 (at    0.00000000    0.02454111    0.99969710)
iedge=   9, ipnt=   1 (Z): anal=   0.99878877,  fd=   0.99908877,  err=  -0.00030001 (at    0.00000000   -0.02454111    0.99969710)
iedge=   9, ipnt=   2 (Z): anal=   0.99586100,  fd=   0.99636719,  err=  -0.00050618 (at    0.00000000   -0.04906730    0.99878982)
iedge=   9, ipnt=   3 (Z): anal=   0.98490084,  fd=   0.98558267,  err=  -0.00068182 (at    0.00000000   -0.09801627    0.99517053)
iedge=   9, ipnt=   4 (Z): anal=   0.94308367,  fd=   0.94350232,  err=  -0.00041866 (at    0.00000000   -0.19509030    0.98077221)
iedge=   9, ipnt=   6 (Z): anal=   0.78865180,  fd=   0.78849323,  err=   0.00015857 (at    0.00000000   -0.38267602    0.92386559)
iedge=   9, ipnt=  30 (Z): anal=  -0.78865180,  fd=  -0.78849323,  err=  -0.00015857 (at    0.00000000   -0.38267602   -0.92386559)
iedge=   9, ipnt=  32 (Z): anal=  -0.94308367,  fd=  -0.94350232,  err=   0.00041866 (at    0.00000000   -0.19509030   -0.98077221)
iedge=   9, ipnt=  33 (Z): anal=  -0.98490084,  fd=  -0.98558267,  err=   0.00068182 (at    0.00000000   -0.09801627   -0.99517053)
iedge=   9, ipnt=  34 (Z): anal=  -0.99586100,  fd=  -0.99636719,  err=   0.00050618 (at    0.00000000   -0.04906730   -0.99878982)
iedge=   9, ipnt=  35 (Z): anal=  -0.99878877,  fd=  -0.99908877,  err=   0.00030001 (at    0.00000000   -0.02454111   -0.99969710)
    d(Edge)/d(width) check complete with       20 total errors (errmax=  6.8182e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  8.2267e-11)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface=   2, ipnt=  95 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iface=   2, ipnt=  95 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000    0.04900814    0.99517053)
iface=   2, ipnt=  96 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515    0.98077221)
iface=   2, ipnt=  96 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000    0.09754515    0.98077221)
iface=   2, ipnt=  97 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000    0.19133801    0.92386559)
iface=   2, ipnt= 115 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000    0.19133801   -0.92386559)
iface=   2, ipnt= 116 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515   -0.98077221)
iface=   2, ipnt= 116 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000    0.09754515   -0.98077221)
iface=   2, ipnt= 117 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iface=   2, ipnt= 117 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000    0.04900814   -0.99517053)
...too many errors to list
iface=   4, ipnt=  95 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iface=   4, ipnt=  95 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000   -0.04900814   -0.99517053)
iface=   4, ipnt=  96 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515   -0.98077221)
iface=   4, ipnt=  96 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000   -0.09754515   -0.98077221)
iface=   4, ipnt=  97 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000   -0.19133801   -0.92386559)
iface=   4, ipnt= 115 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000   -0.19133801    0.92386559)
iface=   4, ipnt= 116 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515    0.98077221)
iface=   4, ipnt= 116 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000   -0.09754515    0.98077221)
iface=   4, ipnt= 117 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iface=   4, ipnt= 117 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000   -0.04900814    0.99517053)
...too many errors to list
    d(Face)/d(width) check complete with      292 total errors (errmax=  6.6266e-04)
iedge=   7, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iedge=   7, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000    0.04900814   -0.99517053)
iedge=   7, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515   -0.98077221)
iedge=   7, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000    0.09754515   -0.98077221)
iedge=   7, ipnt=   3 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000    0.19133801   -0.92386559)
iedge=   7, ipnt=  21 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000    0.19133801    0.92386559)
iedge=   7, ipnt=  22 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515    0.98077221)
iedge=   7, ipnt=  22 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000    0.09754515    0.98077221)
iedge=   7, ipnt=  23 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iedge=   7, ipnt=  23 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000    0.04900814    0.99517053)
iedge=  10, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iedge=  10, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000   -0.04900814    0.99517053)
iedge=  10, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515    0.98077221)
iedge=  10, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000   -0.09754515    0.98077221)
iedge=  10, ipnt=   3 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000   -0.19133801    0.92386559)
iedge=  10, ipnt=  21 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000   -0.19133801   -0.92386559)
iedge=  10, ipnt=  22 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515   -0.98077221)
iedge=  10, ipnt=  22 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000   -0.09754515   -0.98077221)
iedge=  10, ipnt=  23 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iedge=  10, ipnt=  23 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000   -0.04900814   -0.99517053)
    d(Edge)/d(width) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  8.2267e-11)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rnose" for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rtail" for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  5.9882e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xbase" for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  6.2090e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "ybase" for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  6.0161e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.9329e-10)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "zbase" for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  6.2130e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  1.9511e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.782 sec

Sensitivity checks complete with     1204 tnotal errors (max config err=  6.8845e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF0bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
WARNING:: BLEND with C0 forces finite differences

Sensitivity checks complete with        0 total errors (    finite diffs   )
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.106 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  2.7299e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.5803e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.0344e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.3419e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  2.4473e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.3751e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.1142e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  4.0771e-07)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.5447e-26)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.2418e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  4.3222e-10)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.4220e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(height) check complete with        0 total errors (errmax=  1.0606e-27)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface=   1, ipnt=  65 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  65 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  66 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000    0.19509030   -0.49038610)
iface=   1, ipnt=  68 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000    0.38267602   -0.46193279)
iface=   1, ipnt=  84 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000    0.38267602    0.46193279)
iface=   1, ipnt=  86 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000    0.19509030    0.49038610)
iface=   1, ipnt=  87 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt=  87 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt= 215 (Z): anal=  -0.24031193,  fd=  -0.24041573,  err=   0.00010381 (at   -0.75000018    0.09272459   -0.86845022)
iface=   1, ipnt= 216 (Z): anal=  -0.27047123,  fd=  -0.27059937,  err=   0.00012815 (at   -0.84375017    0.09254889   -0.85279472)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627    0.49758527)
iface=   2, ipnt=  65 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000   -0.09801627    0.49758527)
iface=   2, ipnt=  66 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000   -0.19509030    0.49038610)
iface=   2, ipnt=  68 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000   -0.38267602    0.46193279)
iface=   2, ipnt=  84 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000   -0.38267602   -0.46193279)
iface=   2, ipnt=  86 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000   -0.19509030   -0.49038610)
iface=   2, ipnt=  87 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   2, ipnt=  87 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   2, ipnt= 215 (Z): anal=   0.24031193,  fd=   0.24041573,  err=  -0.00010381 (at   -0.75000018   -0.09272459    0.86845022)
iface=   2, ipnt= 216 (Z): anal=   0.27047123,  fd=   0.27059937,  err=  -0.00012815 (at   -0.84375017   -0.09254889    0.85279472)
...too many errors to list
    d(Face)/d(width) check complete with      264 total errors (errmax=  6.6869e-04)
iedge=   2, ipnt=   1 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000    0.09801627   -0.49758527)
iedge=   2, ipnt=   2 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000    0.19509030   -0.49038610)
iedge=   2, ipnt=   4 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000    0.38267602   -0.46193279)
iedge=   2, ipnt=  20 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000    0.38267602    0.46193279)
iedge=   2, ipnt=  22 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000    0.19509030    0.49038610)
iedge=   2, ipnt=  23 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000    0.09801627    0.49758527)
iedge=   5, ipnt=   1 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000   -0.09801627    0.49758527)
iedge=   5, ipnt=   2 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000   -0.19509030    0.49038610)
iedge=   5, ipnt=   4 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000   -0.38267602    0.46193279)
iedge=   5, ipnt=  20 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000   -0.38267602   -0.46193279)
iedge=   5, ipnt=  22 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000   -0.19509030   -0.49038610)
iedge=   5, ipnt=  23 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000   -0.09801627   -0.49758527)
    d(Edge)/d(width) check complete with       12 total errors (errmax=  6.8678e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  2.8756e-11)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface=   1, ipnt= 181 (Z): anal=  -0.23554301,  fd=  -0.23566208,  err=   0.00011907 (at    2.43749994    0.06063153   -1.00982328)
iface=   1, ipnt= 182 (Z): anal=  -0.28299692,  fd=  -0.28315416,  err=   0.00015724 (at    2.34374993    0.06292396   -1.01434748)
iface=   1, ipnt= 183 (Z): anal=  -0.33185475,  fd=  -0.33205379,  err=   0.00019905 (at    2.24999992    0.06527542   -1.01921607)
iface=   1, ipnt= 184 (Z): anal=  -0.38177148,  fd=  -0.38201537,  err=   0.00024389 (at    2.15624990    0.06766999   -1.02433514)
iface=   1, ipnt= 185 (Z): anal=  -0.43240351,  fd=  -0.43269468,  err=   0.00029117 (at    2.06249989    0.07009172   -1.02961076)
iface=   1, ipnt= 186 (Z): anal=  -0.48340712,  fd=  -0.48374740,  err=   0.00034028 (at    1.96874988    0.07252471   -1.03494899)
iface=   1, ipnt= 187 (Z): anal=  -0.53443679,  fd=  -0.53482741,  err=   0.00039062 (at    1.87499987    0.07495304   -1.04025592)
iface=   1, ipnt= 188 (Z): anal=  -0.58514328,  fd=  -0.58558486,  err=   0.00044157 (at    1.78124985    0.07736076   -1.04543761)
iface=   1, ipnt= 189 (Z): anal=  -0.63517175,  fd=  -0.63566428,  err=   0.00049254 (at    1.68749984    0.07973197   -1.05040013)
iface=   1, ipnt= 190 (Z): anal=  -0.68415981,  fd=  -0.68470269,  err=   0.00054288 (at    1.59374983    0.08205074   -1.05504956)
...too many errors to list
iface=   2, ipnt= 181 (Z): anal=   0.23554301,  fd=   0.23566208,  err=  -0.00011907 (at    2.43749994   -0.06063153    1.00982328)
iface=   2, ipnt= 182 (Z): anal=   0.28299692,  fd=   0.28315416,  err=  -0.00015724 (at    2.34374993   -0.06292396    1.01434748)
iface=   2, ipnt= 183 (Z): anal=   0.33185475,  fd=   0.33205379,  err=  -0.00019905 (at    2.24999992   -0.06527542    1.01921607)
iface=   2, ipnt= 184 (Z): anal=   0.38177148,  fd=   0.38201537,  err=  -0.00024389 (at    2.15624990   -0.06766999    1.02433514)
iface=   2, ipnt= 185 (Z): anal=   0.43240351,  fd=   0.43269468,  err=  -0.00029117 (at    2.06249989   -0.07009172    1.02961076)
iface=   2, ipnt= 186 (Z): anal=   0.48340712,  fd=   0.48374740,  err=  -0.00034028 (at    1.96874988   -0.07252471    1.03494899)
iface=   2, ipnt= 187 (Z): anal=   0.53443679,  fd=   0.53482741,  err=  -0.00039062 (at    1.87499987   -0.07495304    1.04025592)
iface=   2, ipnt= 188 (Z): anal=   0.58514328,  fd=   0.58558486,  err=  -0.00044157 (at    1.78124985   -0.07736076    1.04543761)
iface=   2, ipnt= 189 (Z): anal=   0.63517175,  fd=   0.63566428,  err=  -0.00049254 (at    1.68749984   -0.07973197    1.05040013)
iface=   2, ipnt= 190 (Z): anal=   0.68415981,  fd=   0.68470269,  err=  -0.00054288 (at    1.59374983   -0.08205074    1.05504956)
...too many errors to list
    d(Face)/d(width) check complete with      472 total errors (errmax=  8.6827e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3253e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface=   1, ipnt= 153 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iface=   1, ipnt= 153 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000    0.04900814    0.99517053)
iface=   1, ipnt= 154 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515    0.98077221)
iface=   1, ipnt= 154 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000    0.09754515    0.98077221)
iface=   1, ipnt= 155 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000    0.19133801    0.92386559)
iface=   1, ipnt= 173 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000    0.19133801   -0.92386559)
iface=   1, ipnt= 174 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515   -0.98077221)
iface=   1, ipnt= 174 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000    0.09754515   -0.98077221)
iface=   1, ipnt= 175 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iface=   1, ipnt= 175 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000    0.04900814   -0.99517053)
...too many errors to list
iface=   2, ipnt= 153 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iface=   2, ipnt= 153 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000   -0.04900814   -0.99517053)
iface=   2, ipnt= 154 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515   -0.98077221)
iface=   2, ipnt= 154 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000   -0.09754515   -0.98077221)
iface=   2, ipnt= 155 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000   -0.19133801   -0.92386559)
iface=   2, ipnt= 173 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000   -0.19133801    0.92386559)
iface=   2, ipnt= 174 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515    0.98077221)
iface=   2, ipnt= 174 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000   -0.09754515    0.98077221)
iface=   2, ipnt= 175 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iface=   2, ipnt= 175 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000   -0.04900814    0.99517053)
...too many errors to list
    d(Face)/d(width) check complete with      296 total errors (errmax=  6.6266e-04)
iedge=   4, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iedge=   4, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000    0.04900814   -0.99517053)
iedge=   4, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515   -0.98077221)
iedge=   4, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000    0.09754515   -0.98077221)
iedge=   4, ipnt=   3 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000    0.19133801   -0.92386559)
iedge=   4, ipnt=  21 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000    0.19133801    0.92386559)
iedge=   4, ipnt=  22 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515    0.98077221)
iedge=   4, ipnt=  22 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000    0.09754515    0.98077221)
iedge=   4, ipnt=  23 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iedge=   4, ipnt=  23 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000    0.04900814    0.99517053)
iedge=   6, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iedge=   6, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000   -0.04900814    0.99517053)
iedge=   6, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515    0.98077221)
iedge=   6, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000   -0.09754515    0.98077221)
iedge=   6, ipnt=   3 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000   -0.19133801    0.92386559)
iedge=   6, ipnt=  21 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000   -0.19133801   -0.92386559)
iedge=   6, ipnt=  22 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515   -0.98077221)
iedge=   6, ipnt=  22 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000   -0.09754515   -0.98077221)
iedge=   6, ipnt=  23 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iedge=   6, ipnt=  23 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000   -0.04900814   -0.99517053)
    d(Edge)/d(width) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  8.2267e-11)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rnose" for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rtail" for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  4.5163e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xbase" for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "ybase" for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  4.4639e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.9329e-10)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "zbase" for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.8131e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.0430e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.002 sec

Sensitivity checks complete with     1064 tnotal errors (max config err=  8.6827e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=  64: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   1, ipnt=  88: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  64: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  88: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   3, ipnt=  24: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
    d(Face)/d(xloc) check complete with        6 total errors (errmax=  3.0000e-03)
iedge=   1, ipnt=   0: anal=  -2.99991892   -0.00000000   -0.49951351, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00295918 (at   -3.00000000   -0.00000000   -0.50000000)
iedge=   3, ipnt=   0: anal=  -2.99991892    0.00000000    0.49951351, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00295918 (at   -3.00000000    0.00000000    0.50000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  2.9592e-03)
inode=   1:            anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -2.99700000   -0.00000000   -0.50000000)
inode=   3:            anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -2.99700000    0.00000000    0.50000000)
    d(Node)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.0425e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.4035e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   4, ipnt=   0: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00300000   -0.00000000   -1.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -1.00000000)
iface=   4, ipnt=  24: anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00300000    0.00000000    1.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    1.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.9899e-07)
inode=   2:            anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00300000   -0.00000000   -1.00000000, dist=   0.00300000 (at    3.00300000   -0.00000000   -1.00000000)
inode=   4:            anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00300000    0.00000000    1.00000000, dist=   0.00300000 (at    3.00300000    0.00000000    1.00000000)
    d(Node)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.8756e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.1765e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  3.0616e-19)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.3405e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.4159e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.9905e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4491e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.4493e-19)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=  64: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   1, ipnt=  88: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  64: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  88: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50000000)
    d(Face)/d(width) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   1, ipnt=   0: anal=  -3.00016216   -0.00000000   -0.50097297, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00016440 (at   -3.00000000   -0.00000000   -0.50000000)
iedge=   3, ipnt=   0: anal=  -3.00016216    0.00000000    0.50097297, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00016440 (at   -3.00000000    0.00000000    0.50000000)
    d(Edge)/d(width) check complete with        2 total errors (errmax=  1.6440e-04)
inode=   1:            anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50100000)
inode=   3:            anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50100000)
    d(Node)/d(width) check complete with        2 total errors (errmax=  1.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.7525e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3420e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=   0: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   2.99999967   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00000000)
iface=   1, ipnt= 152: anal=   3.00000000    0.00000000    1.00000000, ptrb=   2.99999967    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00000000)
iface=   2, ipnt=   0: anal=   3.00000000    0.00000000    1.00000000, ptrb=   2.99999967    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00000000)
iface=   2, ipnt= 152: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   2.99999967   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00000000)
    d(Face)/d(width) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  6.7544e-07)
inode=   2:            anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00000000   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00100000)
inode=   4:            anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00000000    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00100000)
    d(Node)/d(width) check complete with        2 total errors (errmax=  1.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.3307e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.227 sec

Sensitivity checks complete with       28 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.7574e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.7065e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6907e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.5588e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.3311e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  8.4601e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.4972e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.4972e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.1655e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.7917e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.3477e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.2879e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.9893e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  3.0905e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.6482e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.6044e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface=   1, ipnt= 280 (Z): anal=   0.62831005,  fd=   0.62818064,  err=   0.00012941 (at   -1.96586948    0.41112742    0.62880376)
iface=   1, ipnt= 292 (Z): anal=  -0.63757605,  fd=  -0.63744478,  err=  -0.00013127 (at   -1.98991607    0.41058870   -0.62396712)
iface=   1, ipnt= 297 (Z): anal=   0.81042747,  fd=   0.81026234,  err=   0.00016513 (at   -2.54611675    0.39596266    0.52328244)
iface=   1, ipnt= 300 (Z): anal=  -0.82741052,  fd=  -0.82724226,  err=  -0.00016826 (at   -2.62665024    0.39363421   -0.51089232)
iface=   1, ipnt= 303 (Z): anal=   0.86479333,  fd=   0.86461872,  err=   0.00017461 (at   -2.87624398    0.38631331    0.47657665)
iface=   1, ipnt= 312 (Z): anal=  -0.74850192,  fd=  -0.74834864,  err=  -0.00015328 (at   -2.31174207    0.40252266   -0.56273576)
iface=   1, ipnt= 315 (Z): anal=  -0.87766261,  fd=  -0.87748707,  err=  -0.00017554 (at   -3.13883810    0.37860814   -0.44734452)
iface=   1, ipnt= 316 (Z): anal=   0.87677540,  fd=   0.87660046,  err=   0.00017494 (at   -3.19889009    0.37683704    0.44156351)
iface=   1, ipnt= 332 (Z): anal=  -0.83607996,  fd=  -0.83591646,  err=  -0.00016350 (at   -3.63108847    0.36324592   -0.40686351)
iface=   1, ipnt= 334 (Z): anal=   0.78566788,  fd=   0.78551642,  err=   0.00015146 (at   -3.89883346    0.35345515    0.38937224)
...too many errors to list
iface=   2, ipnt= 281 (Z): anal=  -0.62831005,  fd=  -0.62818064,  err=  -0.00012941 (at   -1.96586948   -0.41112742   -0.62880376)
iface=   2, ipnt= 292 (Z): anal=   0.63757605,  fd=   0.63744478,  err=   0.00013127 (at   -1.98991607   -0.41058870    0.62396712)
iface=   2, ipnt= 298 (Z): anal=  -0.81042747,  fd=  -0.81026234,  err=  -0.00016513 (at   -2.54611675   -0.39596266   -0.52328244)
iface=   2, ipnt= 300 (Z): anal=   0.82741052,  fd=   0.82724226,  err=   0.00016826 (at   -2.62665024   -0.39363421    0.51089232)
iface=   2, ipnt= 303 (Z): anal=  -0.86479333,  fd=  -0.86461872,  err=  -0.00017461 (at   -2.87624398   -0.38631331   -0.47657665)
iface=   2, ipnt= 310 (Z): anal=   0.74850192,  fd=   0.74834864,  err=   0.00015328 (at   -2.31174207   -0.40252266    0.56273576)
iface=   2, ipnt= 314 (Z): anal=   0.87766261,  fd=   0.87748707,  err=   0.00017554 (at   -3.13883810   -0.37860814    0.44734452)
iface=   2, ipnt= 316 (Z): anal=  -0.87677540,  fd=  -0.87660046,  err=  -0.00017494 (at   -3.19889009   -0.37683704   -0.44156351)
iface=   2, ipnt= 332 (Z): anal=   0.83607996,  fd=   0.83591646,  err=   0.00016350 (at   -3.63108847   -0.36324592    0.40686351)
iface=   2, ipnt= 335 (Z): anal=  -0.78566788,  fd=  -0.78551642,  err=  -0.00015146 (at   -3.89883346   -0.35345515   -0.38937224)
...too many errors to list
    d(Face)/d(width) check complete with      135 total errors (errmax=  4.2583e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3498e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface=   1, ipnt= 278 (Z): anal=  -0.74664218,  fd=  -0.74643675,  err=  -0.00020543 (at   -1.07910380    0.41975494   -0.81069069)
iface=   1, ipnt= 279 (Z): anal=   0.80904159,  fd=   0.80882574,  err=   0.00021586 (at   -0.85947211    0.41710767    0.84903458)
iface=   1, ipnt= 280 (Z): anal=   0.37530097,  fd=   0.37519002,  err=   0.00011094 (at   -1.96586948    0.41112742    0.62880376)
iface=   1, ipnt= 286 (Z): anal=  -0.61157088,  fd=  -0.61139639,  err=  -0.00017449 (at   -1.43385114    0.41948615   -0.73988727)
iface=   1, ipnt= 287 (Z): anal=   0.63027536,  fd=   0.63009623,  err=   0.00017913 (at   -1.38905572    0.41979632    0.74920457)
iface=   1, ipnt= 292 (Z): anal=  -0.36457901,  fd=  -0.36447111,  err=  -0.00010791 (at   -1.98991607    0.41058870   -0.62396712)
iface=   1, ipnt= 294 (Z): anal=  -0.85256799,  fd=  -0.85235170,  err=  -0.00021629 (at   -0.59463658    0.41067516   -0.88651922)
iface=   1, ipnt= 302 (Z): anal=   0.83830853,  fd=   0.83811989,  err=   0.00018864 (at   -0.21056052    0.39472121    0.91885018)
iface=   1, ipnt= 309 (Z): anal=  -0.83830853,  fd=  -0.83811989,  err=  -0.00018864 (at   -0.21056052    0.39472121   -0.91885018)
iface=   1, ipnt= 310 (Z): anal=   0.72185096,  fd=   0.72172550,  err=   0.00012546 (at    0.21056793    0.36899142    0.92500219)
...too many errors to list
iface=   2, ipnt= 277 (Z): anal=   0.74664218,  fd=   0.74643675,  err=   0.00020543 (at   -1.07910380   -0.41975494    0.81069069)
iface=   2, ipnt= 280 (Z): anal=  -0.80904159,  fd=  -0.80882574,  err=  -0.00021586 (at   -0.85947211   -0.41710767   -0.84903458)
iface=   2, ipnt= 281 (Z): anal=  -0.37530097,  fd=  -0.37519002,  err=  -0.00011094 (at   -1.96586948   -0.41112742   -0.62880376)
iface=   2, ipnt= 284 (Z): anal=   0.61157088,  fd=   0.61139639,  err=   0.00017449 (at   -1.43385114   -0.41948615    0.73988727)
iface=   2, ipnt= 285 (Z): anal=  -0.63027536,  fd=  -0.63009623,  err=  -0.00017913 (at   -1.38905572   -0.41979632   -0.74920457)
iface=   2, ipnt= 288 (Z): anal=   0.83830853,  fd=   0.83811989,  err=   0.00018864 (at   -0.21056052   -0.39472121    0.91885018)
iface=   2, ipnt= 289 (Z): anal=  -0.76664114,  fd=  -0.76649421,  err=  -0.00014693 (at    0.07088807   -0.37818149   -0.92406254)
iface=   2, ipnt= 292 (Z): anal=   0.36457901,  fd=   0.36447111,  err=   0.00010791 (at   -1.98991607   -0.41058870    0.62396712)
iface=   2, ipnt= 294 (Z): anal=   0.85256799,  fd=   0.85235170,  err=   0.00021629 (at   -0.59463658   -0.41067516    0.88651922)
iface=   2, ipnt= 296 (Z): anal=  -0.83830853,  fd=  -0.83811989,  err=  -0.00018864 (at   -0.21056052   -0.39472121   -0.91885018)
...too many errors to list
    d(Face)/d(width) check complete with      148 total errors (errmax=  5.5163e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4470e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface=   1, ipnt= 451 (Z): anal=  -0.55994996,  fd=  -0.55984316,  err=  -0.00010680 (at    2.49313103    0.21297075   -0.94373810)
iface=   1, ipnt= 454 (Z): anal=   0.55994996,  fd=   0.55984316,  err=   0.00010680 (at    2.49313103    0.21297075    0.94373810)
iface=   1, ipnt= 469 (Z): anal=  -0.54901424,  fd=  -0.54890449,  err=  -0.00010975 (at    2.93345268    0.19380197   -0.92714480)
iface=   1, ipnt= 491 (Z): anal=   0.55032040,  fd=   0.55021068,  err=   0.00010972 (at    2.90477164    0.19489832    0.92849693)
iface=   1, ipnt= 499 (Z): anal=  -0.53337485,  fd=  -0.53326581,  err=  -0.00010904 (at    3.20644513    0.18433873   -0.91240680)
iface=   1, ipnt= 510 (Z): anal=   0.49090469,  fd=   0.49080079,  err=   0.00010389 (at    3.71755003    0.16965770    0.87439871)
iface=   1, ipnt= 537 (Z): anal=  -0.52003191,  fd=  -0.51992417,  err=  -0.00010773 (at    3.38969394    0.17875334   -0.90047376)
iface=   1, ipnt= 539 (Z): anal=   0.54090799,  fd=   0.54079844,  err=   0.00010955 (at    3.08676877    0.18828703    0.91929197)
iface=   1, ipnt= 563 (Z): anal=   0.52919438,  fd=   0.52908570,  err=   0.00010868 (at    3.26707898    0.18243597    0.90865069)
iface=   1, ipnt= 583 (Z): anal=   0.46719615,  fd=   0.46709595,  err=   0.00010020 (at    3.93826325    0.16383527    0.85289263)
...too many errors to list
iface=   2, ipnt= 451 (Z): anal=   0.55994996,  fd=   0.55984316,  err=   0.00010680 (at    2.49313103   -0.21297075    0.94373810)
iface=   2, ipnt= 452 (Z): anal=  -0.55994996,  fd=  -0.55984316,  err=  -0.00010680 (at    2.49313103   -0.21297075   -0.94373810)
iface=   2, ipnt= 470 (Z): anal=  -0.51336649,  fd=  -0.51326618,  err=  -0.00010030 (at    2.92357492   -0.20561030   -0.91783177)
iface=   2, ipnt= 477 (Z): anal=   0.54901424,  fd=   0.54890449,  err=   0.00010975 (at    2.93345268   -0.19380197    0.92714480)
iface=   2, ipnt= 503 (Z): anal=   0.53337485,  fd=   0.53326581,  err=   0.00010904 (at    3.20644513   -0.18433873    0.91240680)
iface=   2, ipnt= 512 (Z): anal=   0.49090469,  fd=   0.49080079,  err=   0.00010389 (at    3.71755003   -0.16965770    0.87439871)
iface=   2, ipnt= 516 (Z): anal=  -0.53337485,  fd=  -0.53326581,  err=  -0.00010904 (at    3.20644513   -0.18433873   -0.91240680)
iface=   2, ipnt= 525 (Z): anal=  -0.50639837,  fd=  -0.50629231,  err=  -0.00010606 (at    3.55279655   -0.17412323   -0.88831090)
iface=   2, ipnt= 559 (Z): anal=  -0.48773593,  fd=  -0.48763251,  err=  -0.00010342 (at    3.74904573   -0.16881982   -0.87153916)
iface=   2, ipnt= 577 (Z): anal=   0.55723653,  fd=   0.55712757,  err=   0.00010896 (at    2.70849015   -0.20296618    0.93674504)
...too many errors to list
    d(Face)/d(width) check complete with      129 total errors (errmax=  5.6586e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.8171e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rnose" for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.3731e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4060e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rtail" for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6138e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.3919e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xbase" for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.3755e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.0020e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "ybase" for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.6801e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  6.6613e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "zbase" for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.6835e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.0417e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.262 sec

Sensitivity checks complete with      412 tnotal errors (max config err=  5.6586e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt= 109: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 109: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.7070e-06)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.2583e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.3818e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  1.1845e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.1845e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.1479e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.1479e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.0012e-06)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7921e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.1098e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6336e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.3698e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6068e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.1174e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4395e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7921e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7921e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.4000e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3869e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.6470e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4377e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.7956e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.8055e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7921e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.4797e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4797e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6352e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.5172e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.6645e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7921e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7918e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.589 sec

Sensitivity checks complete with        6 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rs.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.7065e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.7065e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6820e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.5588e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.7310e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  8.4601e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.3148e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.3178e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.4389e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.4403e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.7445e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.4954e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.2879e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.9764e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  3.1371e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5861e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.6044e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.7445e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.7445e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface=   1, ipnt= 292 (Z): anal=   0.55182472,  fd=   0.55171077,  err=   0.00011396 (at   -1.77660833    0.41495405    0.66774838)
iface=   1, ipnt= 301 (Z): anal=   0.76353187,  fd=   0.76337567,  err=   0.00015620 (at   -2.36293604    0.40112556    0.55370771)
iface=   1, ipnt= 308 (Z): anal=   0.87111305,  fd=   0.87094015,  err=   0.00017290 (at   -3.32050613    0.37319362    0.43068841)
iface=   1, ipnt= 311 (Z): anal=  -0.76353187,  fd=  -0.76337567,  err=  -0.00015620 (at   -2.36293604    0.40112556   -0.55370771)
iface=   1, ipnt= 315 (Z): anal=   0.83755828,  fd=   0.83738820,  err=   0.00017008 (at   -2.68105566    0.39204807    0.50287892)
iface=   1, ipnt= 325 (Z): anal=   0.81451600,  fd=   0.81435776,  err=   0.00015825 (at   -3.75691314    0.35881931    0.39838887)
iface=   1, ipnt= 326 (Z): anal=  -0.87209201,  fd=  -0.87191643,  err=  -0.00017558 (at   -2.96228907    0.38378254   -0.46622578)
iface=   1, ipnt= 334 (Z): anal=  -0.61583532,  fd=  -0.61572093,  err=  -0.00011439 (at   -4.50499175    0.32405515   -0.35286227)
iface=   1, ipnt= 343 (Z): anal=  -0.86052616,  fd=  -0.86035632,  err=  -0.00016984 (at   -3.44381281    0.36937970   -0.42063716)
iface=   1, ipnt= 352 (Z): anal=  -0.77504669,  fd=  -0.77489767,  err=  -0.00014902 (at   -3.94613519    0.35156671   -0.38646255)
...too many errors to list
iface=   2, ipnt= 293 (Z): anal=  -0.55182472,  fd=  -0.55171077,  err=  -0.00011396 (at   -1.77660833   -0.41495405   -0.66774838)
iface=   2, ipnt= 300 (Z): anal=  -0.76353187,  fd=  -0.76337567,  err=  -0.00015620 (at   -2.36293604   -0.40112556   -0.55370771)
iface=   2, ipnt= 314 (Z): anal=   0.76353187,  fd=   0.76337567,  err=   0.00015620 (at   -2.36293604   -0.40112556    0.55370771)
iface=   2, ipnt= 315 (Z): anal=  -0.87111305,  fd=  -0.87094015,  err=  -0.00017290 (at   -3.32050613   -0.37319362   -0.43068841)
iface=   2, ipnt= 324 (Z): anal=  -0.81451600,  fd=  -0.81435776,  err=  -0.00015825 (at   -3.75691314   -0.35881931   -0.39838887)
iface=   2, ipnt= 325 (Z): anal=   0.87209201,  fd=   0.87191643,  err=   0.00017558 (at   -2.96228907   -0.38378254    0.46622578)
iface=   2, ipnt= 332 (Z): anal=  -0.83755828,  fd=  -0.83738820,  err=  -0.00017008 (at   -2.68105566   -0.39204807   -0.50287892)
iface=   2, ipnt= 343 (Z): anal=   0.86052616,  fd=   0.86035632,  err=   0.00016984 (at   -3.44381281   -0.36937970    0.42063716)
iface=   2, ipnt= 347 (Z): anal=  -0.87388848,  fd=  -0.87371272,  err=  -0.00017576 (at   -2.99130472   -0.38293096   -0.46290945)
iface=   2, ipnt= 353 (Z): anal=  -0.72799933,  fd=  -0.72786090,  err=  -0.00013844 (at   -4.13476767   -0.34345104   -0.37514778)
...too many errors to list
    d(Face)/d(width) check complete with      128 total errors (errmax=  4.9623e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3498e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface=   1, ipnt= 279 (Z): anal=  -0.55312301,  fd=  -0.55296348,  err=  -0.00015953 (at   -1.56936960    0.41812332   -0.71140122)
iface=   1, ipnt= 285 (Z): anal=  -0.83914761,  fd=  -0.83892972,  err=  -0.00021789 (at   -0.70535544    0.41381057   -0.87218122)
iface=   1, ipnt= 292 (Z): anal=   0.46048627,  fd=   0.46035159,  err=   0.00013469 (at   -1.77660833    0.41495405    0.66774838)
iface=   1, ipnt= 297 (Z): anal=   0.83914761,  fd=   0.83892972,  err=   0.00021789 (at   -0.70535544    0.41381057    0.87218122)
iface=   1, ipnt= 298 (Z): anal=  -0.70026586,  fd=  -0.70007025,  err=  -0.00019561 (at   -1.21132792    0.42026581   -0.78526084)
iface=   1, ipnt= 303 (Z): anal=   0.70026586,  fd=   0.70007025,  err=   0.00019561 (at   -1.21132792    0.42026581    0.78526084)
iface=   1, ipnt= 306 (Z): anal=  -0.82987082,  fd=  -0.82968791,  err=  -0.00018291 (at   -0.16429103    0.39227032   -0.92075576)
iface=   1, ipnt= 307 (Z): anal=   0.82987082,  fd=   0.82968791,  err=   0.00018291 (at   -0.16429103    0.39227032    0.92075576)
iface=   1, ipnt= 327 (Z): anal=  -0.69176505,  fd=  -0.69165259,  err=  -0.00011246 (at    0.30916562    0.36326852   -0.92843370)
iface=   1, ipnt= 349 (Z): anal=   0.75219096,  fd=   0.75205138,  err=   0.00013958 (at    0.11882868    0.37523183    0.92468625)
...too many errors to list
iface=   2, ipnt= 279 (Z): anal=   0.55312301,  fd=   0.55296348,  err=   0.00015953 (at   -1.56936960   -0.41812332    0.71140122)
iface=   2, ipnt= 286 (Z): anal=   0.70026586,  fd=   0.70007025,  err=   0.00019561 (at   -1.21132792   -0.42026581    0.78526084)
iface=   2, ipnt= 292 (Z): anal=   0.83914761,  fd=   0.83892972,  err=   0.00021789 (at   -0.70535544   -0.41381057    0.87218122)
iface=   2, ipnt= 293 (Z): anal=  -0.46048627,  fd=  -0.46035159,  err=  -0.00013469 (at   -1.77660833   -0.41495405   -0.66774838)
iface=   2, ipnt= 297 (Z): anal=  -0.83914761,  fd=  -0.83892972,  err=  -0.00021789 (at   -0.70535544   -0.41381057   -0.87218122)
iface=   2, ipnt= 304 (Z): anal=  -0.70026586,  fd=  -0.70007025,  err=  -0.00019561 (at   -1.21132792   -0.42026581   -0.78526084)
iface=   2, ipnt= 308 (Z): anal=   0.72234044,  fd=   0.72221489,  err=   0.00012555 (at    0.21396652   -0.36925796    0.92621692)
iface=   2, ipnt= 312 (Z): anal=   0.82987082,  fd=   0.82968791,  err=   0.00018291 (at   -0.16429103   -0.39227032    0.92075576)
iface=   2, ipnt= 313 (Z): anal=  -0.82987082,  fd=  -0.82968791,  err=  -0.00018291 (at   -0.16429103   -0.39227032   -0.92075576)
iface=   2, ipnt= 327 (Z): anal=  -0.69176505,  fd=  -0.69165259,  err=  -0.00011246 (at    0.30916562   -0.36326852   -0.92843370)
...too many errors to list
    d(Face)/d(width) check complete with      129 total errors (errmax=  5.4789e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4874e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface=   1, ipnt= 430 (Z): anal=  -0.53298338,  fd=  -0.53288286,  err=  -0.00010053 (at    2.16718778    0.24479068   -0.98858394)
iface=   1, ipnt= 431 (Z): anal=   0.53298338,  fd=   0.53288286,  err=   0.00010053 (at    2.16718778    0.24479068    0.98858394)
iface=   1, ipnt= 451 (Z): anal=  -0.54716734,  fd=  -0.54706143,  err=  -0.00010591 (at    2.35673683    0.23261852   -0.98304118)
iface=   1, ipnt= 452 (Z): anal=   0.54716734,  fd=   0.54706143,  err=   0.00010591 (at    2.35673683    0.23261852    0.98304118)
iface=   1, ipnt= 464 (Z): anal=  -0.55315033,  fd=  -0.55304040,  err=  -0.00010992 (at    2.64025208    0.21441407   -0.96550124)
iface=   1, ipnt= 470 (Z): anal=   0.55315033,  fd=   0.55304040,  err=   0.00010992 (at    2.64025208    0.21441407    0.96550124)
iface=   1, ipnt= 494 (Z): anal=  -0.54109081,  fd=  -0.54098205,  err=  -0.00010876 (at    2.92261970    0.19629807   -0.93487622)
iface=   1, ipnt= 499 (Z): anal=   0.54109081,  fd=   0.54098205,  err=   0.00010876 (at    2.92261970    0.19629807    0.93487622)
iface=   1, ipnt= 501 (Z): anal=  -0.52372958,  fd=  -0.52362446,  err=  -0.00010512 (at    3.11013246    0.18428271   -0.90611600)
iface=   1, ipnt= 506 (Z): anal=   0.52372958,  fd=   0.52362446,  err=   0.00010512 (at    3.11013246    0.18428271    0.90611600)
...too many errors to list
iface=   2, ipnt= 432 (Z): anal=   0.53298338,  fd=   0.53288286,  err=   0.00010053 (at    2.16718778   -0.24479068    0.98858394)
iface=   2, ipnt= 433 (Z): anal=  -0.53298338,  fd=  -0.53288286,  err=  -0.00010053 (at    2.16718778   -0.24479068   -0.98858394)
iface=   2, ipnt= 458 (Z): anal=  -0.54716734,  fd=  -0.54706143,  err=  -0.00010591 (at    2.35673683   -0.23261852   -0.98304118)
iface=   2, ipnt= 462 (Z): anal=   0.54716734,  fd=   0.54706143,  err=   0.00010591 (at    2.35673683   -0.23261852    0.98304118)
iface=   2, ipnt= 472 (Z): anal=   0.55315033,  fd=   0.55304040,  err=   0.00010992 (at    2.64025208   -0.21441407    0.96550124)
iface=   2, ipnt= 473 (Z): anal=  -0.55315033,  fd=  -0.55304040,  err=  -0.00010992 (at    2.64025208   -0.21441407   -0.96550124)
iface=   2, ipnt= 489 (Z): anal=   0.54109081,  fd=   0.54098205,  err=   0.00010876 (at    2.92261970   -0.19629807    0.93487622)
iface=   2, ipnt= 494 (Z): anal=  -0.54109081,  fd=  -0.54098205,  err=  -0.00010876 (at    2.92261970   -0.19629807   -0.93487622)
iface=   2, ipnt= 496 (Z): anal=   0.52372958,  fd=   0.52362446,  err=   0.00010512 (at    3.11013246   -0.18428271    0.90611600)
iface=   2, ipnt= 501 (Z): anal=  -0.52372958,  fd=  -0.52362446,  err=  -0.00010512 (at    3.11013246   -0.18428271   -0.90611600)
...too many errors to list
    d(Face)/d(width) check complete with      164 total errors (errmax=  5.1664e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.6791e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.7445e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rnose" for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.3731e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4060e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rtail" for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  8.7445e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xbase" for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.3755e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  9.7368e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "ybase" for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  8.7440e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "zbase" for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  9.6905e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.0428e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.230 sec

Sensitivity checks complete with      421 tnotal errors (max config err=  5.4789e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1rs.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt= 119: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 119: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.7070e-06)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.2639e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.3818e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  1.1824e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.1824e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.0866e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.0875e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057704    0.00013157   -0.00177491, dist=   0.00187098 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057704   -0.00013157    0.00177491, dist=   0.00187098 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  1.8710e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.9766e-05)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.1191e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.9405e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.3725e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6486e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.0361e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4995e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.4128e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3869e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.6137e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4964e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.5127e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.6855e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.4797e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4797e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.6797e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.6872e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.460 sec

Sensitivity checks complete with        6 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1sr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.6635e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.8721e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.5455e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.5608e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  8.3818e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  6.3419e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.4972e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.4972e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.1655e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.7917e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.4932e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.0199e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.0180e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.9823e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5484e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.3778e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface=   1, ipnt= 290 (Z): anal=  -0.61223123,  fd=  -0.61210200,  err=  -0.00012923 (at   -2.09600130    0.42875861   -0.64749763)
iface=   1, ipnt= 297 (Z): anal=   0.73273722,  fd=   0.73258484,  err=   0.00015238 (at   -2.45134794    0.41626844    0.57331815)
iface=   1, ipnt= 306 (Z): anal=   0.60341050,  fd=   0.60328301,  err=   0.00012748 (at   -2.07226474    0.42935043    0.65240304)
iface=   1, ipnt= 309 (Z): anal=  -0.80665731,  fd=  -0.80649208,  err=  -0.00016523 (at   -2.73450295    0.40120234   -0.51473394)
iface=   1, ipnt= 331 (Z): anal=  -0.86163691,  fd=  -0.86146854,  err=  -0.00016837 (at   -3.29704880    0.35676519   -0.40672996)
iface=   1, ipnt= 333 (Z): anal=   0.85979905,  fd=   0.85963192,  err=   0.00016713 (at   -3.34369472    0.35223183    0.39843020)
iface=   1, ipnt= 340 (Z): anal=   0.83022672,  fd=   0.83007116,  err=   0.00015556 (at   -3.62292289    0.32273903    0.35061563)
iface=   1, ipnt= 361 (Z): anal=  -0.72189135,  fd=  -0.72174097,  err=  -0.00015037 (at   -2.41587815    0.41782866   -0.58073586)
iface=   1, ipnt= 423 (Z): anal=  -0.78393836,  fd=  -0.78379695,  err=  -0.00014141 (at   -3.85486439    0.29551018   -0.31306308)
iface=   1, ipnt= 424 (Z): anal=   0.48819846,  fd=   0.48809425,  err=   0.00010421 (at   -1.77515695    0.43431208    0.71246916)
...too many errors to list
iface=   2, ipnt= 290 (Z): anal=   0.61223123,  fd=   0.61210200,  err=   0.00012923 (at   -2.09600130   -0.42875861    0.64749763)
iface=   2, ipnt= 297 (Z): anal=  -0.73273722,  fd=  -0.73258484,  err=  -0.00015238 (at   -2.45134794   -0.41626844   -0.57331815)
iface=   2, ipnt= 306 (Z): anal=  -0.60341050,  fd=  -0.60328301,  err=  -0.00012748 (at   -2.07226474   -0.42935043   -0.65240304)
iface=   2, ipnt= 309 (Z): anal=   0.80665731,  fd=   0.80649208,  err=   0.00016523 (at   -2.73450295   -0.40120234    0.51473394)
iface=   2, ipnt= 330 (Z): anal=   0.86163691,  fd=   0.86146854,  err=   0.00016837 (at   -3.29704880   -0.35676519    0.40672996)
iface=   2, ipnt= 332 (Z): anal=  -0.85979905,  fd=  -0.85963192,  err=  -0.00016713 (at   -3.34369472   -0.35223183   -0.39843020)
iface=   2, ipnt= 339 (Z): anal=  -0.83022672,  fd=  -0.83007116,  err=  -0.00015556 (at   -3.62292289   -0.32273903   -0.35061563)
iface=   2, ipnt= 362 (Z): anal=   0.72189135,  fd=   0.72174097,  err=   0.00015037 (at   -2.41587815   -0.41782866    0.58073586)
iface=   2, ipnt= 424 (Z): anal=   0.78393836,  fd=   0.78379695,  err=   0.00014141 (at   -3.85486439   -0.29551018    0.31306308)
iface=   2, ipnt= 426 (Z): anal=  -0.48819846,  fd=  -0.48809425,  err=  -0.00010421 (at   -1.77515695   -0.43431208   -0.71246916)
...too many errors to list
    d(Face)/d(width) check complete with      115 total errors (errmax=  6.0194e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.6564e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface=   1, ipnt= 278 (Z): anal=  -0.74839690,  fd=  -0.74819124,  err=  -0.00020566 (at   -1.14363090    0.43080691   -0.82500329)
iface=   1, ipnt= 282 (Z): anal=  -0.61164895,  fd=  -0.61147490,  err=  -0.00017405 (at   -1.52512461    0.43511915   -0.76013243)
iface=   1, ipnt= 283 (Z): anal=   0.63067894,  fd=   0.63050013,  err=   0.00017880 (at   -1.47746364    0.43493852    0.76881412)
iface=   1, ipnt= 286 (Z): anal=  -0.85310819,  fd=  -0.85289181,  err=  -0.00021638 (at   -0.61888843    0.41482893   -0.89189846)
iface=   1, ipnt= 289 (Z): anal=   0.81058786,  fd=   0.81037172,  err=   0.00021613 (at   -0.90507853    0.42491898    0.85915043)
iface=   1, ipnt= 290 (Z): anal=  -0.36091520,  fd=  -0.36080900,  err=  -0.00010620 (at   -2.09600130    0.42875861   -0.64749763)
iface=   1, ipnt= 292 (Z): anal=  -0.83807515,  fd=  -0.83788657,  err=  -0.00018858 (at   -0.21395889    0.39530328   -0.91960397)
iface=   1, ipnt= 294 (Z): anal=   0.76664114,  fd=   0.76649421,  err=   0.00014693 (at    0.07088807    0.37818149    0.92406254)
iface=   1, ipnt= 306 (Z): anal=   0.37171721,  fd=   0.37160795,  err=   0.00010926 (at   -2.07226474    0.42935043    0.65240304)
iface=   1, ipnt= 307 (Z): anal=   0.83807515,  fd=   0.83788657,  err=   0.00018858 (at   -0.21395889    0.39530328    0.91960397)
...too many errors to list
iface=   2, ipnt= 278 (Z): anal=   0.74839690,  fd=   0.74819124,  err=   0.00020566 (at   -1.14363090   -0.43080691    0.82500329)
iface=   2, ipnt= 282 (Z): anal=   0.61164895,  fd=   0.61147490,  err=   0.00017405 (at   -1.52512461   -0.43511915    0.76013243)
iface=   2, ipnt= 283 (Z): anal=  -0.63067894,  fd=  -0.63050013,  err=  -0.00017880 (at   -1.47746364   -0.43493852   -0.76881412)
iface=   2, ipnt= 286 (Z): anal=   0.85310819,  fd=   0.85289181,  err=   0.00021638 (at   -0.61888843   -0.41482893    0.89189846)
iface=   2, ipnt= 289 (Z): anal=  -0.81058786,  fd=  -0.81037172,  err=  -0.00021613 (at   -0.90507853   -0.42491898   -0.85915043)
iface=   2, ipnt= 290 (Z): anal=   0.36091520,  fd=   0.36080900,  err=   0.00010620 (at   -2.09600130   -0.42875861    0.64749763)
iface=   2, ipnt= 292 (Z): anal=   0.83807515,  fd=   0.83788657,  err=   0.00018858 (at   -0.21395889   -0.39530328    0.91960397)
iface=   2, ipnt= 294 (Z): anal=  -0.76664114,  fd=  -0.76649421,  err=  -0.00014693 (at    0.07088807   -0.37818149   -0.92406254)
iface=   2, ipnt= 306 (Z): anal=  -0.37171721,  fd=  -0.37160795,  err=  -0.00010926 (at   -2.07226474   -0.42935043   -0.65240304)
iface=   2, ipnt= 307 (Z): anal=  -0.83807515,  fd=  -0.83788657,  err=  -0.00018858 (at   -0.21395889   -0.39530328   -0.91960397)
...too many errors to list
    d(Face)/d(width) check complete with      136 total errors (errmax=  7.2417e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4470e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface=   1, ipnt= 463 (Z): anal=  -0.55994996,  fd=  -0.55984316,  err=  -0.00010680 (at    2.49313103    0.21297075   -0.94373810)
iface=   1, ipnt= 473 (Z): anal=   0.55948896,  fd=   0.55938103,  err=   0.00010792 (at    2.58623560    0.20849638    0.94098159)
iface=   1, ipnt= 480 (Z): anal=  -0.53913070,  fd=  -0.53902124,  err=  -0.00010946 (at    3.11647369    0.18728086   -0.91764671)
iface=   1, ipnt= 481 (Z): anal=   0.55789696,  fd=   0.55779274,  err=   0.00010422 (at    2.33728856    0.22096902    0.94743955)
iface=   1, ipnt= 490 (Z): anal=   0.55609288,  fd=   0.55598367,  err=   0.00010921 (at    2.74990777    0.20118104    0.93515199)
iface=   1, ipnt= 504 (Z): anal=  -0.55846023,  fd=  -0.55835167,  err=  -0.00010855 (at    2.65379066    0.20539222   -0.93872685)
iface=   1, ipnt= 517 (Z): anal=   0.49703111,  fd=   0.49692633,  err=   0.00010478 (at    3.65464833    0.17134403    0.87991353)
iface=   1, ipnt= 527 (Z): anal=   0.54302701,  fd=   0.54291736,  err=   0.00010965 (at    3.04985343    0.18956385    0.92127958)
iface=   1, ipnt= 535 (Z): anal=  -0.52474574,  fd=  -0.52463750,  err=  -0.00010824 (at    3.32817819    0.18057550   -0.90467552)
iface=   1, ipnt= 549 (Z): anal=   0.53337485,  fd=   0.53326581,  err=   0.00010904 (at    3.20644513    0.18433873    0.91240680)
...too many errors to list
iface=   2, ipnt= 463 (Z): anal=  -0.55994996,  fd=  -0.55984316,  err=  -0.00010680 (at    2.49313103   -0.21297075   -0.94373810)
iface=   2, ipnt= 473 (Z): anal=   0.55948896,  fd=   0.55938103,  err=   0.00010792 (at    2.58623560   -0.20849638    0.94098159)
iface=   2, ipnt= 481 (Z): anal=  -0.53913070,  fd=  -0.53902124,  err=  -0.00010946 (at    3.11647369   -0.18728086   -0.91764671)
iface=   2, ipnt= 482 (Z): anal=   0.55789696,  fd=   0.55779274,  err=   0.00010422 (at    2.33728856   -0.22096902    0.94743955)
iface=   2, ipnt= 499 (Z): anal=   0.55032040,  fd=   0.55021068,  err=   0.00010972 (at    2.90477164   -0.19489832    0.92849693)
iface=   2, ipnt= 504 (Z): anal=  -0.55846023,  fd=  -0.55835167,  err=  -0.00010855 (at    2.65379066   -0.20539222   -0.93872685)
iface=   2, ipnt= 505 (Z): anal=   0.53728196,  fd=   0.53717262,  err=   0.00010934 (at    3.14632546   -0.18628776    0.91595139)
iface=   2, ipnt= 517 (Z): anal=  -0.49703111,  fd=  -0.49692633,  err=  -0.00010478 (at    3.65464833   -0.17134403   -0.87991353)
iface=   2, ipnt= 528 (Z): anal=   0.52474574,  fd=   0.52463750,  err=   0.00010824 (at    3.32817819   -0.18057550    0.90467552)
iface=   2, ipnt= 551 (Z): anal=   0.49851926,  fd=   0.49841427,  err=   0.00010499 (at    3.63894603   -0.17176818    0.88125036)
...too many errors to list
    d(Face)/d(width) check complete with      120 total errors (errmax=  4.6303e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.8171e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rnose" for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  1.6802e-09)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rtail" for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6138e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.3919e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xbase" for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.8607e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.0020e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "ybase" for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.6801e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  6.6613e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "zbase" for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.6835e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.0417e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.242 sec

Sensitivity checks complete with      371 tnotal errors (max config err=  7.2417e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1sr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt= 112: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 112: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
iedge=   1, ipnt=   0: anal=  -5.99436121    0.00000000    0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -5.99436121   -0.00000000   -0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  3.6619e-04)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.3084e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.3038e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.4099e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  9.4099e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.1479e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.1479e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.0012e-06)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.2130e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6336e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.4748e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  8.8395e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.1174e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.1573e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  6.2585e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.6888e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  7.4064e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4377e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.8746e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.8055e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6352e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.5172e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.6645e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.489 sec

Sensitivity checks complete with        8 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1ss.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.6602e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.8721e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.5281e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.5608e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  7.2622e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  6.3419e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.3148e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.3178e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.4389e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.4403e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.5756e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.0199e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.0207e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  3.1371e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5396e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.3778e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface=   1, ipnt= 299 (Z): anal=   0.53050894,  fd=   0.53039610,  err=   0.00011284 (at   -1.88219500    0.43303856    0.69116831)
iface=   1, ipnt= 424 (Z): anal=   0.71707723,  fd=   0.71721829,  err=  -0.00014106 (at   -2.23534260    0.27016378    0.65019936)
iface=   1, ipnt= 428 (Z): anal=   0.81246212,  fd=   0.81261994,  err=  -0.00015782 (at   -2.51928707    0.26259320    0.58755699)
iface=   1, ipnt= 432 (Z): anal=   0.89708115,  fd=   0.89719521,  err=  -0.00011406 (at   -2.89839489    0.25998076    0.50435643)
iface=   1, ipnt= 485 (Z): anal=   0.60126321,  fd=   0.60114996,  err=   0.00011325 (at   -2.12863038    0.47815889    0.62698661)
iface=   1, ipnt= 493 (Z): anal=   0.91772720,  fd=   0.91782840,  err=  -0.00010120 (at   -3.08653501    0.25308348    0.46576038)
iface=   1, ipnt= 507 (Z): anal=   0.63394962,  fd=   0.63424597,  err=  -0.00029635 (at   -1.98914663    0.22102231    0.71243222)
iface=   1, ipnt= 508 (Z): anal=   0.23707230,  fd=   0.23718624,  err=  -0.00011395 (at   -1.04821167    0.22032971    0.89346912)
iface=   1, ipnt= 512 (Z): anal=   0.39163166,  fd=   0.39181796,  err=  -0.00018631 (at   -1.42383410    0.22325908    0.82871932)
iface=   1, ipnt= 523 (Z): anal=   0.47417412,  fd=   0.47439845,  err=  -0.00022433 (at   -1.61446089    0.22342104    0.79149028)
...too many errors to list
iface=   2, ipnt= 295 (Z): anal=  -0.63820453,  fd=  -0.63807018,  err=  -0.00013435 (at   -2.16717867   -0.42680563   -0.63272661)
iface=   2, ipnt= 338 (Z): anal=  -0.86163691,  fd=  -0.86146854,  err=  -0.00016837 (at   -3.29704880   -0.35676519   -0.40672996)
iface=   2, ipnt= 449 (Z): anal=  -0.53516501,  fd=  -0.53505123,  err=  -0.00011378 (at   -1.89408298   -0.43286187   -0.68877589)
iface=   2, ipnt= 452 (Z): anal=  -0.87032397,  fd=  -0.87043567,  err=   0.00011170 (at   -2.75731153   -0.26637673   -0.53408919)
iface=   2, ipnt= 454 (Z): anal=  -0.88675287,  fd=  -0.88664341,  err=  -0.00010947 (at   -3.02779601   -0.31766376   -0.46830232)
iface=   2, ipnt= 459 (Z): anal=  -0.76726652,  fd=  -0.76741655,  err=   0.00015003 (at   -2.37743511   -0.26673319   -0.61883213)
iface=   2, ipnt= 470 (Z): anal=  -0.41474290,  fd=  -0.41493990,  err=   0.00019700 (at   -1.47746364   -0.22339661   -0.81850035)
iface=   2, ipnt= 513 (Z): anal=  -0.63638870,  fd=  -0.63668613,  err=   0.00029743 (at   -1.99508564   -0.22095448   -0.71113377)
iface=   2, ipnt= 516 (Z): anal=  -0.93007676,  fd=  -0.93047105,  err=   0.00039429 (at   -3.44853122   -0.17384505   -0.40299041)
iface=   2, ipnt= 526 (Z): anal=   0.57775783,  fd=   0.57764874,  err=   0.00010909 (at   -2.06336218   -0.48002932    0.64020214)
...too many errors to list
    d(Face)/d(width) check complete with       84 total errors (errmax=  6.3172e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.6564e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface=   1, ipnt= 281 (Z): anal=   0.74839690,  fd=   0.74819124,  err=   0.00020566 (at   -1.14363090    0.43080691    0.82500329)
iface=   1, ipnt= 295 (Z): anal=  -0.64923664,  fd=  -0.64905329,  err=  -0.00018336 (at   -1.42979347    0.43465341   -0.77734874)
iface=   1, ipnt= 298 (Z): anal=  -0.82479392,  fd=  -0.82457637,  err=  -0.00021755 (at   -0.83351680    0.42269818   -0.86823963)
iface=   1, ipnt= 299 (Z): anal=   0.45789890,  fd=   0.45776558,  err=   0.00013332 (at   -1.88219500    0.43303856    0.69116831)
iface=   1, ipnt= 300 (Z): anal=   0.84014122,  fd=   0.83992314,  err=   0.00021808 (at   -0.73811319    0.41942120    0.87944714)
iface=   1, ipnt= 303 (Z): anal=  -0.76679571,  fd=  -0.76664875,  err=  -0.00014696 (at    0.07128504    0.37821263   -0.92420443)
iface=   1, ipnt= 311 (Z): anal=   0.76679571,  fd=   0.76664875,  err=   0.00014696 (at    0.07128504    0.37821263    0.92420443)
iface=   1, ipnt= 323 (Z): anal=   0.83807515,  fd=   0.83788657,  err=   0.00018858 (at   -0.21395889    0.39530328    0.91960397)
iface=   1, ipnt= 333 (Z): anal=  -0.83807515,  fd=  -0.83788657,  err=  -0.00018858 (at   -0.21395889    0.39530328   -0.91960397)
iface=   1, ipnt= 351 (Z): anal=   0.61644852,  fd=   0.61627327,  err=   0.00017525 (at   -1.51321028    0.43508385    0.76231619)
...too many errors to list
iface=   2, ipnt= 280 (Z): anal=  -0.74839690,  fd=  -0.74819124,  err=  -0.00020566 (at   -1.14363090   -0.43080691   -0.82500329)
iface=   2, ipnt= 294 (Z): anal=   0.64923664,  fd=   0.64905329,  err=   0.00018336 (at   -1.42979347   -0.43465341    0.77734874)
iface=   2, ipnt= 298 (Z): anal=   0.82479392,  fd=   0.82457637,  err=   0.00021755 (at   -0.83351680   -0.42269818    0.86823963)
iface=   2, ipnt= 299 (Z): anal=  -0.57233271,  fd=  -0.57216872,  err=  -0.00016398 (at   -1.62041522   -0.43516281   -0.74236094)
iface=   2, ipnt= 300 (Z): anal=  -0.84014122,  fd=  -0.83992314,  err=  -0.00021808 (at   -0.73811319   -0.41942120   -0.87944714)
iface=   2, ipnt= 309 (Z): anal=   0.83807515,  fd=   0.83788657,  err=   0.00018858 (at   -0.21395889   -0.39530328    0.91960397)
iface=   2, ipnt= 317 (Z): anal=   0.72234044,  fd=   0.72221489,  err=   0.00012555 (at    0.21396652   -0.36925796    0.92621692)
iface=   2, ipnt= 332 (Z): anal=  -0.83807515,  fd=  -0.83788657,  err=  -0.00018858 (at   -0.21395889   -0.39530328   -0.91960397)
iface=   2, ipnt= 341 (Z): anal=  -0.72234044,  fd=  -0.72221489,  err=  -0.00012555 (at    0.21396652   -0.36925796   -0.92621692)
iface=   2, ipnt= 422 (Z): anal=   0.85813672,  fd=   0.85792370,  err=   0.00021302 (at   -0.52354143   -0.41076842    0.90053223)
...too many errors to list
    d(Face)/d(width) check complete with      140 total errors (errmax=  7.8039e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4874e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface=   1, ipnt= 421 (Z): anal=  -0.53298338,  fd=  -0.53288286,  err=  -0.00010053 (at    2.16718778    0.24479068   -0.98858394)
iface=   1, ipnt= 422 (Z): anal=   0.53298338,  fd=   0.53288286,  err=   0.00010053 (at    2.16718778    0.24479068    0.98858394)
iface=   1, ipnt= 425 (Z): anal=  -0.55288662,  fd=  -0.55277775,  err=  -0.00010887 (at    2.52224873    0.22199005   -0.97426971)
iface=   1, ipnt= 426 (Z): anal=   0.55288662,  fd=   0.55277775,  err=   0.00010887 (at    2.52224873    0.22199005    0.97426971)
iface=   1, ipnt= 451 (Z): anal=   0.54932432,  fd=   0.54921432,  err=   0.00011000 (at    2.78159184    0.20534333    0.95196598)
iface=   1, ipnt= 454 (Z): anal=  -0.54932432,  fd=  -0.54921432,  err=  -0.00011000 (at    2.78159184    0.20534333   -0.95196598)
iface=   1, ipnt= 455 (Z): anal=   0.54583909,  fd=   0.54573374,  err=   0.00010535 (at    2.33306502    0.23413870    0.98398322)
iface=   1, ipnt= 462 (Z): anal=  -0.54583909,  fd=  -0.54573374,  err=  -0.00010535 (at    2.33306502    0.23413870   -0.98398322)
iface=   1, ipnt= 480 (Z): anal=  -0.53323316,  fd=  -0.53312595,  err=  -0.00010720 (at    3.01645268    0.19028371   -0.92136861)
iface=   1, ipnt= 481 (Z): anal=   0.53323316,  fd=   0.53312595,  err=   0.00010720 (at    3.01645268    0.19028371    0.92136861)
...too many errors to list
iface=   2, ipnt= 425 (Z): anal=   0.53298338,  fd=   0.53288286,  err=   0.00010053 (at    2.16718778   -0.24479068    0.98858394)
iface=   2, ipnt= 427 (Z): anal=  -0.53298338,  fd=  -0.53288286,  err=  -0.00010053 (at    2.16718778   -0.24479068   -0.98858394)
iface=   2, ipnt= 431 (Z): anal=   0.55288662,  fd=   0.55277775,  err=   0.00010887 (at    2.52224873   -0.22199005    0.97426971)
iface=   2, ipnt= 434 (Z): anal=  -0.55288662,  fd=  -0.55277775,  err=  -0.00010887 (at    2.52224873   -0.22199005   -0.97426971)
iface=   2, ipnt= 457 (Z): anal=  -0.54932432,  fd=  -0.54921432,  err=  -0.00011000 (at    2.78159184   -0.20534333   -0.95196598)
iface=   2, ipnt= 458 (Z): anal=   0.54583909,  fd=   0.54573374,  err=   0.00010535 (at    2.33306502   -0.23413870    0.98398322)
iface=   2, ipnt= 461 (Z): anal=   0.54932432,  fd=   0.54921432,  err=   0.00011000 (at    2.78159184   -0.20534333    0.95196598)
iface=   2, ipnt= 474 (Z): anal=  -0.54583909,  fd=  -0.54573374,  err=  -0.00010535 (at    2.33306502   -0.23413870   -0.98398322)
iface=   2, ipnt= 490 (Z): anal=   0.53323316,  fd=   0.53312595,  err=   0.00010720 (at    3.01645268   -0.19028371    0.92136861)
iface=   2, ipnt= 491 (Z): anal=  -0.53323316,  fd=  -0.53312595,  err=  -0.00010720 (at    3.01645268   -0.19028371   -0.92136861)
...too many errors to list
    d(Face)/d(width) check complete with      160 total errors (errmax=  4.2960e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.6791e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rnose" for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "Rtail" for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  9.5516e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "xbase" for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.0000e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.4834e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "ybase" for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  8.8355e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "zbase" for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  9.5504e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.0428e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.219 sec

Sensitivity checks complete with      384 tnotal errors (max config err=  7.8039e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF1ss.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
iedge=   1, ipnt=   0: anal=  -5.99436121    0.00000000    0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -5.99436121   -0.00000000   -0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  3.6619e-04)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.3108e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.3038e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  9.3891e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  9.3891e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.0866e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.0875e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057704    0.00013157   -0.00177491, dist=   0.00187098 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057704   -0.00013157    0.00177491, dist=   0.00187098 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  1.8710e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.9766e-05)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.1821e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.9405e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.4707e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6486e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.0361e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4995e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  6.5606e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.6888e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  7.9287e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.4964e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.6150e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.6855e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  3.6800e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.6797e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.6872e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.741 sec

Sensitivity checks complete with        8 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  1.4036e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.4020e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  2.4268e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.4193e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  1.4074e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  6.9124e-09)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "height[1,1]" for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "height[2,1]" for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.2381e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  4.0771e-07)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.5447e-26)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "height[3,1]" for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.0643e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  4.4945e-10)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "height[4,1]" for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.4220e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.4222e-06)
    d(Node)/d(height) check complete with        0 total errors (errmax=  1.0606e-27)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "height[5,1]" for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "width[1,1]" for ibody=8
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "width[2,1]" for ibody=8
iface=   1, ipnt=  65 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  65 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000    0.09801627   -0.49758527)
iface=   1, ipnt=  66 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000    0.19509030   -0.49038610)
iface=   1, ipnt=  68 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000    0.38267602   -0.46193279)
iface=   1, ipnt=  84 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000    0.38267602    0.46193279)
iface=   1, ipnt=  86 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000    0.19509030    0.49038610)
iface=   1, ipnt=  87 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt=  87 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000    0.09801627    0.49758527)
iface=   1, ipnt= 212 (Z): anal=  -0.09698423,  fd=  -0.09708433,  err=   0.00010011 (at   -0.46875023    0.10075110   -0.94493213)
iface=   1, ipnt= 213 (Z): anal=  -0.12092939,  fd=  -0.12105351,  err=   0.00012412 (at   -0.56250023    0.10105947   -0.93246518)
...too many errors to list
iface=   2, ipnt=  65 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627    0.49758527)
iface=   2, ipnt=  65 (Z): anal=   0.96592416,  fd=   0.96659285,  err=  -0.00066869 (at   -3.00000000   -0.09801627    0.49758527)
iface=   2, ipnt=  66 (Z): anal=   0.94594233,  fd=   0.94636226,  err=  -0.00041993 (at   -3.00000000   -0.19509030    0.49038610)
iface=   2, ipnt=  68 (Z): anal=   0.86625069,  fd=   0.86607652,  err=   0.00017417 (at   -3.00000000   -0.38267602    0.46193279)
iface=   2, ipnt=  84 (Z): anal=  -0.86625069,  fd=  -0.86607652,  err=  -0.00017417 (at   -3.00000000   -0.38267602   -0.46193279)
iface=   2, ipnt=  86 (Z): anal=  -0.94594233,  fd=  -0.94636226,  err=   0.00041993 (at   -3.00000000   -0.19509030   -0.49038610)
iface=   2, ipnt=  87 (X): anal=  -0.15910899,  fd=  -0.15921914,  err=   0.00011015 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   2, ipnt=  87 (Z): anal=  -0.96592416,  fd=  -0.96659285,  err=   0.00066869 (at   -3.00000000   -0.09801627   -0.49758527)
iface=   2, ipnt= 212 (Z): anal=   0.09698423,  fd=   0.09708433,  err=  -0.00010011 (at   -0.46875023   -0.10075110    0.94493213)
iface=   2, ipnt= 213 (Z): anal=   0.12092939,  fd=   0.12105351,  err=  -0.00012412 (at   -0.56250023   -0.10105947    0.93246518)
...too many errors to list
    d(Face)/d(width) check complete with      316 total errors (errmax=  6.6869e-04)
iedge=   2, ipnt=   1 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000    0.09801627   -0.49758527)
iedge=   2, ipnt=   2 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000    0.19509030   -0.49038610)
iedge=   2, ipnt=   4 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000    0.38267602   -0.46193279)
iedge=   2, ipnt=  20 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000    0.38267602    0.46193279)
iedge=   2, ipnt=  22 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000    0.19509030    0.49038610)
iedge=   2, ipnt=  23 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000    0.09801627    0.49758527)
iedge=   5, ipnt=   1 (Z): anal=   0.99206933,  fd=   0.99275612,  err=  -0.00068678 (at   -3.00000000   -0.09801627    0.49758527)
iedge=   5, ipnt=   2 (Z): anal=   0.97075046,  fd=   0.97118140,  err=  -0.00043094 (at   -3.00000000   -0.19509030    0.49038610)
iedge=   5, ipnt=   4 (Z): anal=   0.88602223,  fd=   0.88584408,  err=   0.00017815 (at   -3.00000000   -0.38267602    0.46193279)
iedge=   5, ipnt=  20 (Z): anal=  -0.88602223,  fd=  -0.88584408,  err=  -0.00017815 (at   -3.00000000   -0.38267602   -0.46193279)
iedge=   5, ipnt=  22 (Z): anal=  -0.97075046,  fd=  -0.97118140,  err=   0.00043094 (at   -3.00000000   -0.19509030   -0.49038610)
iedge=   5, ipnt=  23 (Z): anal=  -0.99206933,  fd=  -0.99275612,  err=   0.00068678 (at   -3.00000000   -0.09801627   -0.49758527)
    d(Edge)/d(width) check complete with       12 total errors (errmax=  6.8678e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  2.8756e-11)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "width[3,1]" for ibody=8
iface=   1, ipnt= 183 (Z): anal=  -0.28656430,  fd=  -0.28666921,  err=   0.00010491 (at    2.24999993    0.06235908   -1.00687275)
iface=   1, ipnt= 184 (Z): anal=  -0.32678322,  fd=  -0.32691282,  err=   0.00012961 (at    2.15624992    0.06413278   -1.00936405)
iface=   1, ipnt= 185 (Z): anal=  -0.36737816,  fd=  -0.36753423,  err=   0.00015607 (at    2.06249991    0.06591466   -1.01193153)
iface=   1, ipnt= 186 (Z): anal=  -0.40816977,  fd=  -0.40835384,  err=   0.00018407 (at    1.96874990    0.06770021   -1.01452948)
iface=   1, ipnt= 187 (Z): anal=  -0.44897850,  fd=  -0.44919185,  err=   0.00021335 (at    1.87499989    0.06948488   -1.01711220)
iface=   1, ipnt= 188 (Z): anal=  -0.48962428,  fd=  -0.48986794,  err=   0.00024366 (at    1.78124988    0.07126415   -1.01963397)
iface=   1, ipnt= 189 (Z): anal=  -0.52992615,  fd=  -0.53020091,  err=   0.00027476 (at    1.68749987    0.07303349   -1.02204907)
iface=   1, ipnt= 190 (Z): anal=  -0.56970192,  fd=  -0.57000832,  err=   0.00030640 (at    1.59374986    0.07478835   -1.02431181)
iface=   1, ipnt= 191 (Z): anal=  -0.60876780,  fd=  -0.60910613,  err=   0.00033833 (at    1.49999985    0.07652422   -1.02637646)
iface=   1, ipnt= 192 (Z): anal=  -0.64693809,  fd=  -0.64730840,  err=   0.00037030 (at    1.40624984    0.07823655   -1.02819731)
...too many errors to list
iface=   2, ipnt= 183 (Z): anal=   0.28656430,  fd=   0.28666921,  err=  -0.00010491 (at    2.24999993   -0.06235908    1.00687275)
iface=   2, ipnt= 184 (Z): anal=   0.32678322,  fd=   0.32691282,  err=  -0.00012961 (at    2.15624992   -0.06413278    1.00936405)
iface=   2, ipnt= 185 (Z): anal=   0.36737816,  fd=   0.36753423,  err=  -0.00015607 (at    2.06249991   -0.06591466    1.01193153)
iface=   2, ipnt= 186 (Z): anal=   0.40816977,  fd=   0.40835384,  err=  -0.00018407 (at    1.96874990   -0.06770021    1.01452948)
iface=   2, ipnt= 187 (Z): anal=   0.44897850,  fd=   0.44919185,  err=  -0.00021335 (at    1.87499989   -0.06948488    1.01711220)
iface=   2, ipnt= 188 (Z): anal=   0.48962428,  fd=   0.48986794,  err=  -0.00024366 (at    1.78124988   -0.07126415    1.01963397)
iface=   2, ipnt= 189 (Z): anal=   0.52992615,  fd=   0.53020091,  err=  -0.00027476 (at    1.68749987   -0.07303349    1.02204907)
iface=   2, ipnt= 190 (Z): anal=   0.56970192,  fd=   0.57000832,  err=  -0.00030640 (at    1.59374986   -0.07478835    1.02431181)
iface=   2, ipnt= 191 (Z): anal=   0.60876780,  fd=   0.60910613,  err=  -0.00033833 (at    1.49999985   -0.07652422    1.02637646)
iface=   2, ipnt= 192 (Z): anal=   0.64693809,  fd=   0.64730840,  err=  -0.00037030 (at    1.40624984   -0.07823655    1.02819731)
...too many errors to list
    d(Face)/d(width) check complete with      444 total errors (errmax=  6.7727e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  5.3675e-09)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "width[4,1]" for ibody=8
iface=   1, ipnt= 153 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iface=   1, ipnt= 153 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000    0.04900814    0.99517053)
iface=   1, ipnt= 154 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515    0.98077221)
iface=   1, ipnt= 154 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000    0.09754515    0.98077221)
iface=   1, ipnt= 155 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000    0.19133801    0.92386559)
iface=   1, ipnt= 173 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000    0.19133801   -0.92386559)
iface=   1, ipnt= 174 (Y): anal=   0.33646473,  fd=   0.33661410,  err=  -0.00014936 (at    3.00000000    0.09754515   -0.98077221)
iface=   1, ipnt= 174 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000    0.09754515   -0.98077221)
iface=   1, ipnt= 175 (Y): anal=   0.18882442,  fd=   0.18895514,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iface=   1, ipnt= 175 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000    0.04900814   -0.99517053)
...too many errors to list
iface=   2, ipnt= 153 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iface=   2, ipnt= 153 (Z): anal=  -0.95722430,  fd=  -0.95788696,  err=   0.00066266 (at    3.00000000   -0.04900814   -0.99517053)
iface=   2, ipnt= 154 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515   -0.98077221)
iface=   2, ipnt= 154 (Z): anal=  -0.84645135,  fd=  -0.84682711,  err=   0.00037576 (at    3.00000000   -0.09754515   -0.98077221)
iface=   2, ipnt= 155 (Z): anal=  -0.54692626,  fd=  -0.54681629,  err=  -0.00010997 (at    3.00000000   -0.19133801   -0.92386559)
iface=   2, ipnt= 173 (Z): anal=   0.54692626,  fd=   0.54681629,  err=   0.00010997 (at    3.00000000   -0.19133801    0.92386559)
iface=   2, ipnt= 174 (Y): anal=  -0.33646473,  fd=  -0.33661410,  err=   0.00014936 (at    3.00000000   -0.09754515    0.98077221)
iface=   2, ipnt= 174 (Z): anal=   0.84645135,  fd=   0.84682711,  err=  -0.00037576 (at    3.00000000   -0.09754515    0.98077221)
iface=   2, ipnt= 175 (Y): anal=  -0.18882442,  fd=  -0.18895514,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iface=   2, ipnt= 175 (Z): anal=   0.95722430,  fd=   0.95788696,  err=  -0.00066266 (at    3.00000000   -0.04900814    0.99517053)
...too many errors to list
    d(Face)/d(width) check complete with      332 total errors (errmax=  6.6269e-04)
iedge=   4, ipnt=   1 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814   -0.99517053)
iedge=   4, ipnt=   1 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000    0.04900814   -0.99517053)
iedge=   4, ipnt=   2 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515   -0.98077221)
iedge=   4, ipnt=   2 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000    0.09754515   -0.98077221)
iedge=   4, ipnt=   3 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000    0.19133801   -0.92386559)
iedge=   4, ipnt=  21 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000    0.19133801    0.92386559)
iedge=   4, ipnt=  22 (Y): anal=   0.33651307,  fd=   0.33666245,  err=  -0.00014939 (at    3.00000000    0.09754515    0.98077221)
iedge=   4, ipnt=  22 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000    0.09754515    0.98077221)
iedge=   4, ipnt=  23 (Y): anal=   0.18882628,  fd=   0.18895700,  err=  -0.00013072 (at    3.00000000    0.04900814    0.99517053)
iedge=   4, ipnt=  23 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000    0.04900814    0.99517053)
iedge=   6, ipnt=   1 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814    0.99517053)
iedge=   6, ipnt=   1 (Z): anal=   0.95723374,  fd=   0.95789641,  err=  -0.00066267 (at    3.00000000   -0.04900814    0.99517053)
iedge=   6, ipnt=   2 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515    0.98077221)
iedge=   6, ipnt=   2 (Z): anal=   0.84657294,  fd=   0.84694876,  err=  -0.00037581 (at    3.00000000   -0.09754515    0.98077221)
iedge=   6, ipnt=   3 (Z): anal=   0.54783290,  fd=   0.54772275,  err=   0.00011015 (at    3.00000000   -0.19133801    0.92386559)
iedge=   6, ipnt=  21 (Z): anal=  -0.54783290,  fd=  -0.54772275,  err=  -0.00011015 (at    3.00000000   -0.19133801   -0.92386559)
iedge=   6, ipnt=  22 (Y): anal=  -0.33651307,  fd=  -0.33666245,  err=   0.00014939 (at    3.00000000   -0.09754515   -0.98077221)
iedge=   6, ipnt=  22 (Z): anal=  -0.84657294,  fd=  -0.84694876,  err=   0.00037581 (at    3.00000000   -0.09754515   -0.98077221)
iedge=   6, ipnt=  23 (Y): anal=  -0.18882628,  fd=  -0.18895700,  err=   0.00013072 (at    3.00000000   -0.04900814   -0.99517053)
iedge=   6, ipnt=  23 (Z): anal=  -0.95723374,  fd=  -0.95789641,  err=   0.00066267 (at    3.00000000   -0.04900814   -0.99517053)
    d(Edge)/d(width) check complete with       20 total errors (errmax=  6.6267e-04)
    d(Node)/d(width) check complete with        0 total errors (errmax=  8.2267e-11)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "width[5,1]" for ibody=8
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "Rnose" for ibody=8
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "Rtail" for ibody=8
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  4.4992e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "xbase" for ibody=8
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "ybase" for ibody=8
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  4.4980e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  1.9329e-10)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "zbase" for ibody=8
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  5.2518e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.6182e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.687 sec

Sensitivity checks complete with     1124 tnotal errors (max config err=  6.8678e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2bb.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
iface=   1, ipnt=  64: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   1, ipnt=  88: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  64: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  88: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -3.00000000    0.00000000    0.50000000)
iface=   3, ipnt=  24: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -3.00000000   -0.00000000   -0.50000000)
    d(Face)/d(xloc) check complete with        6 total errors (errmax=  3.0000e-03)
iedge=   1, ipnt=   0: anal=  -2.99991892   -0.00000000   -0.49951351, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00295918 (at   -3.00000000   -0.00000000   -0.50000000)
iedge=   3, ipnt=   0: anal=  -2.99991892    0.00000000    0.49951351, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00295918 (at   -3.00000000    0.00000000    0.50000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  2.9592e-03)
inode=   1:            anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -2.99700000   -0.00000000   -0.50000000, dist=   0.00300000 (at   -2.99700000   -0.00000000   -0.50000000)
inode=   3:            anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -2.99700000    0.00000000    0.50000000, dist=   0.00300000 (at   -2.99700000    0.00000000    0.50000000)
    d(Node)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  2.4577e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.4565e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
iface=   4, ipnt=   0: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00300000   -0.00000000   -1.00000000, dist=   0.00300000 (at    3.00000000   -0.00000000   -1.00000000)
iface=   4, ipnt=  24: anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00300000    0.00000000    1.00000000, dist=   0.00300000 (at    3.00000000    0.00000000    1.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.4962e-07)
inode=   2:            anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00300000   -0.00000000   -1.00000000, dist=   0.00300000 (at    3.00300000   -0.00000000   -1.00000000)
inode=   4:            anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00300000    0.00000000    1.00000000, dist=   0.00300000 (at    3.00300000    0.00000000    1.00000000)
    d(Node)/d(xloc) check complete with        2 total errors (errmax=  3.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.8354e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.0447e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  3.0616e-19)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  6.9920e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.2924e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.9135e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.9135e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  2.4493e-19)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
iface=   1, ipnt=  64: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50000000)
iface=   1, ipnt=  88: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  64: anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50000000)
iface=   2, ipnt=  88: anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50000000)
    d(Face)/d(width) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   1, ipnt=   0: anal=  -3.00016216   -0.00000000   -0.50097297, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00016440 (at   -3.00000000   -0.00000000   -0.50000000)
iedge=   3, ipnt=   0: anal=  -3.00016216    0.00000000    0.50097297, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00016440 (at   -3.00000000    0.00000000    0.50000000)
    d(Edge)/d(width) check complete with        2 total errors (errmax=  1.6440e-04)
inode=   1:            anal=  -3.00000000   -0.00000000   -0.50000000, ptrb=  -3.00000000   -0.00000000   -0.50100000, dist=   0.00100000 (at   -3.00000000   -0.00000000   -0.50100000)
inode=   3:            anal=  -3.00000000    0.00000000    0.50000000, ptrb=  -3.00000000    0.00000000    0.50100000, dist=   0.00100000 (at   -3.00000000    0.00000000    0.50100000)
    d(Node)/d(width) check complete with        2 total errors (errmax=  1.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(width) check complete with        0 total errors (errmax=  6.8283e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  5.4903e-09)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
iface=   1, ipnt=   0: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   2.99999967   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00000000)
iface=   1, ipnt= 152: anal=   3.00000000    0.00000000    1.00000000, ptrb=   2.99999967    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00000000)
iface=   2, ipnt=   0: anal=   3.00000000    0.00000000    1.00000000, ptrb=   2.99999967    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00000000)
iface=   2, ipnt= 152: anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   2.99999967   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00000000)
    d(Face)/d(width) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  6.7544e-07)
inode=   2:            anal=   3.00000000   -0.00000000   -1.00000000, ptrb=   3.00000000   -0.00000000   -1.00100000, dist=   0.00100000 (at    3.00000000   -0.00000000   -1.00100000)
inode=   4:            anal=   3.00000000    0.00000000    1.00000000, ptrb=   3.00000000    0.00000000    1.00100000, dist=   0.00100000 (at    3.00000000    0.00000000    1.00100000)
    d(Node)/d(width) check complete with        2 total errors (errmax=  1.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  3.3307e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  8.9606e-16)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.957 sec

Sensitivity checks complete with       28 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.9394e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.8518e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.1783e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.3779e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.0343e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.7021e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.2605e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.2605e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.0887e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.5438e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7318e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.0315e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.8152e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  9.6176e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  3.7074e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5590e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.1275e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7318e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7318e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface=   1, ipnt= 296 (Z): anal=  -0.53879897,  fd=  -0.53868704,  err=  -0.00011193 (at   -1.41943932    0.41062477   -0.68089724)
iface=   1, ipnt= 300 (Z): anal=   0.87512762,  fd=   0.87495049,  err=   0.00017713 (at   -2.81432124    0.38728090    0.47939880)
iface=   1, ipnt= 304 (Z): anal=  -0.81269018,  fd=  -0.81252343,  err=  -0.00016675 (at   -2.31320255    0.39854461   -0.53829879)
iface=   1, ipnt= 307 (Z): anal=  -0.87412949,  fd=  -0.87395474,  err=  -0.00017475 (at   -3.14225687    0.37902810   -0.45011287)
iface=   1, ipnt= 311 (Z): anal=  -0.86222404,  fd=  -0.86204858,  err=  -0.00017546 (at   -2.64259452    0.39136287   -0.49766730)
iface=   1, ipnt= 312 (Z): anal=   0.82506503,  fd=   0.82490348,  err=   0.00016155 (at   -3.57914314    0.36654882    0.41983035)
iface=   1, ipnt= 315 (Z): anal=   0.84109577,  fd=   0.84092384,  err=   0.00017193 (at   -2.47563866    0.39512488    0.51735642)
iface=   1, ipnt= 326 (Z): anal=  -0.80840253,  fd=  -0.80824504,  err=  -0.00015749 (at   -3.67427316    0.36344792   -0.41402788)
iface=   1, ipnt= 336 (Z): anal=   0.74729754,  fd=   0.74715429,  err=   0.00014324 (at   -3.96013902    0.35295754    0.39738767)
iface=   1, ipnt= 338 (Z): anal=  -0.73957205,  fd=  -0.73943055,  err=  -0.00014149 (at   -3.99181979    0.35166883   -0.39557799)
...too many errors to list
iface=   2, ipnt= 297 (Z): anal=   0.53879897,  fd=   0.53868704,  err=   0.00011193 (at   -1.41943932   -0.41062477    0.68089724)
iface=   2, ipnt= 300 (Z): anal=  -0.87512762,  fd=  -0.87495049,  err=  -0.00017713 (at   -2.81432124   -0.38728090   -0.47939880)
iface=   2, ipnt= 304 (Z): anal=   0.81269018,  fd=   0.81252343,  err=   0.00016675 (at   -2.31320255   -0.39854461    0.53829879)
iface=   2, ipnt= 307 (Z): anal=   0.87412949,  fd=   0.87395474,  err=   0.00017475 (at   -3.14225687   -0.37902810    0.45011287)
iface=   2, ipnt= 311 (Z): anal=   0.86222404,  fd=   0.86204858,  err=   0.00017546 (at   -2.64259452   -0.39136287    0.49766730)
iface=   2, ipnt= 312 (Z): anal=  -0.82506503,  fd=  -0.82490348,  err=  -0.00016155 (at   -3.57914314   -0.36654882   -0.41983035)
iface=   2, ipnt= 315 (Z): anal=  -0.84109577,  fd=  -0.84092384,  err=  -0.00017193 (at   -2.47563866   -0.39512488   -0.51735642)
iface=   2, ipnt= 327 (Z): anal=   0.80840253,  fd=   0.80824504,  err=   0.00015749 (at   -3.67427316   -0.36344792    0.41402788)
iface=   2, ipnt= 336 (Z): anal=  -0.74729754,  fd=  -0.74715429,  err=  -0.00014324 (at   -3.96013902   -0.35295754   -0.39738767)
iface=   2, ipnt= 346 (Z): anal=   0.68097378,  fd=   0.68084527,  err=   0.00012852 (at   -4.21220149   -0.34186221    0.38289716)
...too many errors to list
    d(Face)/d(width) check complete with      137 total errors (errmax=  5.1673e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3826e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface=   1, ipnt= 289 (Z): anal=   0.54336990,  fd=   0.54326050,  err=   0.00010940 (at   -1.23623829    0.41104158    0.71425733)
iface=   1, ipnt= 291 (Z): anal=  -0.71578649,  fd=  -0.71564259,  err=  -0.00014390 (at   -0.66755341    0.40563522   -0.81888325)
iface=   1, ipnt= 292 (Z): anal=   0.68323207,  fd=   0.68309469,  err=   0.00013738 (at   -0.79581244    0.40785851    0.79568785)
iface=   1, ipnt= 301 (Z): anal=  -0.61853244,  fd=  -0.61840800,  err=  -0.00012444 (at   -1.01323541    0.41023554   -0.75555680)
iface=   1, ipnt= 303 (Z): anal=   0.75752000,  fd=   0.75736774,  err=   0.00015226 (at   -0.45664028    0.40052962    0.85553294)
iface=   1, ipnt= 305 (Z): anal=  -0.76233703,  fd=  -0.76218370,  err=  -0.00015333 (at    0.16540461    0.37379606   -0.94336337)
iface=   1, ipnt= 314 (Z): anal=  -0.78325606,  fd=  -0.78309861,  err=  -0.00015744 (at   -0.20681802    0.39196533   -0.89524244)
iface=   1, ipnt= 320 (Z): anal=   0.76233703,  fd=   0.76218370,  err=   0.00015333 (at    0.16540461    0.37379606    0.94336337)
iface=   1, ipnt= 327 (Z): anal=  -0.51801649,  fd=  -0.51791205,  err=  -0.00010443 (at    0.99126919    0.31675055   -0.99649493)
iface=   1, ipnt= 331 (Z): anal=  -0.68597639,  fd=  -0.68583829,  err=  -0.00013810 (at    0.49858813    0.35270001   -0.97332411)
...too many errors to list
iface=   2, ipnt= 291 (Z): anal=   0.71578649,  fd=   0.71564259,  err=   0.00014390 (at   -0.66755341   -0.40563522    0.81888325)
iface=   2, ipnt= 294 (Z): anal=  -0.63240494,  fd=  -0.63227772,  err=  -0.00012722 (at   -0.96934162   -0.40988912   -0.76370128)
iface=   2, ipnt= 301 (Z): anal=   0.61853244,  fd=   0.61840800,  err=   0.00012444 (at   -1.01323541   -0.41023554    0.75555680)
iface=   2, ipnt= 303 (Z): anal=  -0.75752000,  fd=  -0.75736774,  err=  -0.00015226 (at   -0.45664028   -0.40052962   -0.85553294)
iface=   2, ipnt= 305 (Z): anal=   0.76233703,  fd=   0.76218370,  err=   0.00015333 (at    0.16540461   -0.37379606    0.94336337)
iface=   2, ipnt= 314 (Z): anal=   0.78325606,  fd=   0.78309861,  err=   0.00015744 (at   -0.20681802   -0.39196533    0.89524244)
iface=   2, ipnt= 320 (Z): anal=  -0.76233703,  fd=  -0.76218370,  err=  -0.00015333 (at    0.16540461   -0.37379606   -0.94336337)
iface=   2, ipnt= 330 (Z): anal=   0.68597639,  fd=   0.68583829,  err=   0.00013810 (at    0.49858813   -0.35270001    0.97332411)
iface=   2, ipnt= 331 (Z): anal=  -0.68597639,  fd=  -0.68583829,  err=  -0.00013810 (at    0.49858813   -0.35270001   -0.97332411)
iface=   2, ipnt= 359 (Z): anal=  -0.78499672,  fd=  -0.78483892,  err=  -0.00015780 (at   -0.14470246   -0.38938939   -0.90429666)
...too many errors to list
    d(Face)/d(width) check complete with      120 total errors (errmax=  4.6741e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.0107e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface=   1, ipnt= 423 (Z): anal=  -0.51462076,  fd=  -0.51451849,  err=  -0.00010227 (at    1.95036145    0.24701956   -0.98559262)
iface=   1, ipnt= 426 (Z): anal=  -0.54566395,  fd=  -0.54555519,  err=  -0.00010876 (at    2.39388215    0.22009533   -0.96373763)
iface=   1, ipnt= 427 (Z): anal=  -0.53308496,  fd=  -0.53297891,  err=  -0.00010605 (at    2.15504559    0.23402254   -0.97647289)
iface=   1, ipnt= 430 (Z): anal=   0.55015660,  fd=   0.55004658,  err=   0.00011002 (at    2.67088865    0.20574708    0.94665976)
iface=   1, ipnt= 433 (Z): anal=   0.53115937,  fd=   0.53105372,  err=   0.00010565 (at    2.12908169    0.23561900    0.97772811)
iface=   1, ipnt= 443 (Z): anal=   0.54733426,  fd=   0.54722510,  err=   0.00010915 (at    2.44826977    0.21712177    0.96056356)
iface=   1, ipnt= 454 (Z): anal=  -0.55001507,  fd=  -0.54990516,  err=  -0.00010991 (at    2.61445506    0.20850788   -0.95031409)
iface=   1, ipnt= 461 (Z): anal=  -0.54021517,  fd=  -0.54010632,  err=  -0.00010885 (at    3.10416302    0.18737608   -0.91618812)
iface=   1, ipnt= 463 (Z): anal=   0.54694757,  fd=   0.54683778,  err=   0.00010979 (at    2.90943194    0.19501355    0.93036788)
iface=   1, ipnt= 469 (Z): anal=   0.53954290,  fd=   0.53943415,  err=   0.00010875 (at    3.11938193    0.18681901    0.91504637)
...too many errors to list
iface=   2, ipnt= 420 (Z): anal=  -0.52698296,  fd=  -0.52687817,  err=  -0.00010479 (at    2.07748402   -0.23883760   -0.98014063)
iface=   2, ipnt= 425 (Z): anal=   0.51462076,  fd=   0.51451849,  err=   0.00010227 (at    1.95036145   -0.24701956    0.98559262)
iface=   2, ipnt= 429 (Z): anal=   0.54566395,  fd=   0.54555519,  err=   0.00010876 (at    2.39388215   -0.22009533    0.96373763)
iface=   2, ipnt= 433 (Z): anal=   0.53308496,  fd=   0.53297891,  err=   0.00010605 (at    2.15504559   -0.23402254    0.97647289)
iface=   2, ipnt= 435 (Z): anal=  -0.54802143,  fd=  -0.54791210,  err=  -0.00010932 (at    2.47564957   -0.21565339   -0.95893064)
iface=   2, ipnt= 439 (Z): anal=  -0.54111345,  fd=  -0.54100570,  err=  -0.00010775 (at    2.28656234   -0.22618104   -0.96971391)
iface=   2, ipnt= 448 (Z): anal=  -0.55009027,  fd=  -0.54998022,  err=  -0.00011005 (at    2.69930538   -0.20438879   -0.94478877)
iface=   2, ipnt= 458 (Z): anal=   0.55001507,  fd=   0.54990516,  err=   0.00010991 (at    2.61445506   -0.20850788    0.95031409)
iface=   2, ipnt= 465 (Z): anal=   0.54021517,  fd=   0.54010632,  err=   0.00010885 (at    3.10416302   -0.18737608    0.91618812)
iface=   2, ipnt= 468 (Z): anal=  -0.54694757,  fd=  -0.54683778,  err=  -0.00010979 (at    2.90943194   -0.19501355   -0.93036788)
...too many errors to list
    d(Face)/d(width) check complete with      133 total errors (errmax=  4.6380e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5679e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7318e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rnose" for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.3500e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.3720e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rtail" for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6086e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.4041e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xbase" for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.8971e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.0024e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "ybase" for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7318e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "zbase" for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7321e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.6167e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.928 sec

Sensitivity checks complete with      390 tnotal errors (max config err=  5.1673e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt= 109: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 109: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.3934e-06)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6639e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.1472e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.1139e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.7889e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.7675e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.7675e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.2734e-06)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7783e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.5767e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.8946e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.1010e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6870e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.0160e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.9751e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7783e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7783e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.5433e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3707e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.8550e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  9.9254e-09)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.9435e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5708e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7783e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.4590e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4590e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6365e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.5218e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.6645e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7775e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7781e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.242 sec

Sensitivity checks complete with        6 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rs.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.8389e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.7458e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.8882e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.1688e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.8374e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.8376e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6834e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.6933e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.5997e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.6085e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  5.0369e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.6207e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.5242e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  3.6908e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5780e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.9279e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface=   1, ipnt= 305 (Z): anal=  -0.82847294,  fd=  -0.82830324,  err=  -0.00016970 (at   -2.40483902    0.39588705   -0.52364778)
iface=   1, ipnt= 311 (Z): anal=  -0.85985015,  fd=  -0.85967970,  err=  -0.00017045 (at   -3.32383162    0.37442959   -0.43781102)
iface=   1, ipnt= 312 (Z): anal=   0.87710964,  fd=   0.87693227,  err=   0.00017737 (at   -2.84578382    0.38634263    0.47561713)
iface=   1, ipnt= 315 (Z): anal=  -0.53869499,  fd=  -0.53858310,  err=  -0.00011188 (at   -1.45082313    0.40801312   -0.66964021)
iface=   1, ipnt= 319 (Z): anal=   0.77709339,  fd=   0.77694339,  err=   0.00015000 (at   -3.82618754    0.35870853    0.40752256)
iface=   1, ipnt= 324 (Z): anal=   0.83757871,  fd=   0.83740737,  err=   0.00017134 (at   -2.45807022    0.39482588    0.51714837)
iface=   1, ipnt= 326 (Z): anal=  -0.87955828,  fd=  -0.87938117,  err=  -0.00017711 (at   -2.96180026    0.38359667   -0.46517355)
iface=   1, ipnt= 337 (Z): anal=  -0.76292361,  fd=  -0.76277689,  err=  -0.00014672 (at   -3.88948647    0.35635348   -0.40397741)
iface=   1, ipnt= 344 (Z): anal=   0.84471471,  fd=   0.84454828,  err=   0.00016643 (at   -3.44807933    0.37095149    0.42975780)
iface=   1, ipnt= 348 (Z): anal=  -0.62610547,  fd=  -0.62598883,  err=  -0.00011664 (at   -4.39016969    0.33340703   -0.37521353)
...too many errors to list
iface=   2, ipnt= 305 (Z): anal=   0.82847294,  fd=   0.82830324,  err=   0.00016970 (at   -2.40483902   -0.39588705    0.52364778)
iface=   2, ipnt= 311 (Z): anal=   0.85985015,  fd=   0.85967970,  err=   0.00017045 (at   -3.32383162   -0.37442959    0.43781102)
iface=   2, ipnt= 312 (Z): anal=  -0.87710964,  fd=  -0.87693227,  err=  -0.00017737 (at   -2.84578382   -0.38634263   -0.47561713)
iface=   2, ipnt= 316 (Z): anal=   0.53869499,  fd=   0.53858310,  err=   0.00011188 (at   -1.45082313   -0.40801312    0.66964021)
iface=   2, ipnt= 319 (Z): anal=  -0.77709339,  fd=  -0.77694339,  err=  -0.00015000 (at   -3.82618754   -0.35870853   -0.40752256)
iface=   2, ipnt= 325 (Z): anal=  -0.83757871,  fd=  -0.83740737,  err=  -0.00017134 (at   -2.45807022   -0.39482588   -0.51714837)
iface=   2, ipnt= 327 (Z): anal=   0.87955828,  fd=   0.87938117,  err=   0.00017711 (at   -2.96180026   -0.38359667    0.46517355)
iface=   2, ipnt= 338 (Z): anal=   0.76292361,  fd=   0.76277689,  err=   0.00014672 (at   -3.88948647   -0.35635348    0.40397741)
iface=   2, ipnt= 345 (Z): anal=  -0.84471471,  fd=  -0.84454828,  err=  -0.00016643 (at   -3.44807933   -0.37095149   -0.42975780)
iface=   2, ipnt= 349 (Z): anal=   0.62610547,  fd=   0.62598883,  err=   0.00011664 (at   -4.39016969   -0.33340703    0.37521353)
...too many errors to list
    d(Face)/d(width) check complete with      136 total errors (errmax=  4.4876e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3690e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface=   1, ipnt= 288 (Z): anal=   0.71803592,  fd=   0.71789154,  err=   0.00014439 (at   -0.67751613    0.40270183    0.81159559)
iface=   1, ipnt= 303 (Z): anal=  -0.60302897,  fd=  -0.60290759,  err=  -0.00012138 (at   -1.09210337    0.40768268   -0.73497051)
iface=   1, ipnt= 309 (Z): anal=  -0.71803592,  fd=  -0.71789154,  err=  -0.00014438 (at   -0.67751613    0.40270183   -0.81159559)
iface=   1, ipnt= 313 (Z): anal=  -0.77244892,  fd=  -0.77229363,  err=  -0.00015529 (at   -0.33026670    0.39430723   -0.87237991)
iface=   1, ipnt= 318 (Z): anal=   0.75403733,  fd=   0.75388568,  err=   0.00015166 (at    0.22513534    0.37282039    0.95421216)
iface=   1, ipnt= 325 (Z): anal=  -0.62513035,  fd=  -0.62500449,  err=  -0.00012586 (at    0.78074223    0.34319899   -1.01101936)
iface=   1, ipnt= 329 (Z): anal=   0.59666699,  fd=   0.59654683,  err=   0.00012016 (at    0.87506972    0.33757026    1.01799021)
iface=   1, ipnt= 331 (Z): anal=  -0.75403733,  fd=  -0.75388568,  err=  -0.00015166 (at    0.22513534    0.37282039   -0.95421216)
iface=   1, ipnt= 341 (Z): anal=   0.78004055,  fd=   0.77988371,  err=   0.00015683 (at   -0.04450034    0.38444591    0.91738632)
iface=   1, ipnt= 365 (Z): anal=   0.68886633,  fd=   0.68872770,  err=   0.00013863 (at    0.54690994    0.35646467    0.99033385)
...too many errors to list
iface=   2, ipnt= 288 (Z): anal=  -0.71803592,  fd=  -0.71789154,  err=  -0.00014439 (at   -0.67751613   -0.40270183   -0.81159559)
iface=   2, ipnt= 295 (Z): anal=   0.77244892,  fd=   0.77229363,  err=   0.00015529 (at   -0.33026670   -0.39430723    0.87237991)
iface=   2, ipnt= 303 (Z): anal=   0.60302897,  fd=   0.60290759,  err=   0.00012138 (at   -1.09210337   -0.40768268    0.73497051)
iface=   2, ipnt= 309 (Z): anal=   0.71803592,  fd=   0.71789154,  err=   0.00014439 (at   -0.67751613   -0.40270183    0.81159559)
iface=   2, ipnt= 318 (Z): anal=  -0.75403733,  fd=  -0.75388568,  err=  -0.00015166 (at    0.22513534   -0.37282039   -0.95421216)
iface=   2, ipnt= 323 (Z): anal=   0.75403733,  fd=   0.75388568,  err=   0.00015166 (at    0.22513534   -0.37282039    0.95421216)
iface=   2, ipnt= 326 (Z): anal=  -0.62513035,  fd=  -0.62500449,  err=  -0.00012586 (at    0.78074223   -0.34319899   -1.01101936)
iface=   2, ipnt= 331 (Z): anal=  -0.78004055,  fd=  -0.77988371,  err=  -0.00015683 (at   -0.04450034   -0.38444591   -0.91738632)
iface=   2, ipnt= 337 (Z): anal=   0.59666699,  fd=   0.59654683,  err=   0.00012016 (at    0.87506972   -0.33757026    1.01799021)
iface=   2, ipnt= 357 (Z): anal=   0.68886633,  fd=   0.68872770,  err=   0.00013863 (at    0.54690994   -0.35646467    0.99033385)
...too many errors to list
    d(Face)/d(width) check complete with      128 total errors (errmax=  5.4386e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.2097e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface=   1, ipnt= 356 (Z): anal=   0.50531897,  fd=   0.50521165,  err=   0.00010731 (at    2.12583013    0.25338009    1.02739151)
iface=   1, ipnt= 366 (Z): anal=  -0.50531897,  fd=  -0.50521165,  err=  -0.00010731 (at    2.12583013    0.25338009   -1.02739151)
iface=   1, ipnt= 368 (Z): anal=   0.53981911,  fd=   0.53970765,  err=   0.00011147 (at    2.65758673    0.21540173    0.97707836)
iface=   1, ipnt= 374 (Z): anal=  -0.53981911,  fd=  -0.53970765,  err=  -0.00011147 (at    2.65758673    0.21540173   -0.97707836)
iface=   1, ipnt= 433 (Z): anal=   0.47839685,  fd=   0.47829447,  err=   0.00010239 (at    1.93192182    0.26715855    1.03694492)
iface=   1, ipnt= 440 (Z): anal=   0.52841294,  fd=   0.52830199,  err=   0.00011096 (at    2.36799780    0.23606849    1.00904414)
iface=   1, ipnt= 441 (Z): anal=  -0.52841294,  fd=  -0.52830199,  err=  -0.00011096 (at    2.36799780    0.23606849   -1.00904414)
iface=   1, ipnt= 484 (Z): anal=  -0.53738912,  fd=  -0.53727967,  err=  -0.00010945 (at    2.84961257    0.20183245   -0.94940239)
iface=   1, ipnt= 498 (Z): anal=   0.53738912,  fd=   0.53727967,  err=   0.00010945 (at    2.84961257    0.20183245    0.94940239)
iface=   1, ipnt= 515 (Z): anal=  -0.51917946,  fd=  -0.51907647,  err=  -0.00010299 (at    3.13545296    0.18201371   -0.89784663)
...too many errors to list
iface=   2, ipnt= 360 (Z): anal=  -0.53981911,  fd=  -0.53970765,  err=  -0.00011147 (at    2.65758673   -0.21540173   -0.97707836)
iface=   2, ipnt= 367 (Z): anal=   0.50531897,  fd=   0.50521165,  err=   0.00010731 (at    2.12583013   -0.25338009    1.02739151)
iface=   2, ipnt= 368 (Z): anal=  -0.50531897,  fd=  -0.50521165,  err=  -0.00010731 (at    2.12583013   -0.25338009   -1.02739151)
iface=   2, ipnt= 373 (Z): anal=   0.53981911,  fd=   0.53970765,  err=   0.00011147 (at    2.65758673   -0.21540173    0.97707836)
iface=   2, ipnt= 434 (Z): anal=   0.47839685,  fd=   0.47829447,  err=   0.00010238 (at    1.93192182   -0.26715855    1.03694492)
iface=   2, ipnt= 442 (Z): anal=  -0.52841294,  fd=  -0.52830199,  err=  -0.00011096 (at    2.36799780   -0.23606849   -1.00904414)
iface=   2, ipnt= 444 (Z): anal=   0.52841294,  fd=   0.52830199,  err=   0.00011096 (at    2.36799780   -0.23606849    1.00904414)
iface=   2, ipnt= 492 (Z): anal=  -0.53738912,  fd=  -0.53727967,  err=  -0.00010945 (at    2.84961257   -0.20183245   -0.94940239)
iface=   2, ipnt= 499 (Z): anal=   0.53738912,  fd=   0.53727967,  err=   0.00010945 (at    2.84961257   -0.20183245    0.94940239)
iface=   2, ipnt= 514 (Z): anal=   0.51917946,  fd=   0.51907647,  err=   0.00010299 (at    3.13545296   -0.18201371    0.89784663)
...too many errors to list
    d(Face)/d(width) check complete with      156 total errors (errmax=  5.0234e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5530e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rnose" for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.3874e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4094e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rtail" for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xbase" for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.3833e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.0148e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "ybase" for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7495e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "zbase" for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7497e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.2369e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.919 sec

Sensitivity checks complete with      420 tnotal errors (max config err=  5.4386e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2rs.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.3553e-06)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4711e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.9599e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.9184e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.9184e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4116e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.4169e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057673    0.00013144   -0.00177469, dist=   0.00187068 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057673   -0.00013144    0.00177469, dist=   0.00187068 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  1.8707e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.9766e-05)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.5122e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.7712e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.0796e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4239e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.1199e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6777e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.9072e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.3600e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.5103e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.2121e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.4262e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5733e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  7.4967e-07)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  7.4967e-07)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  4.5322e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  3.6662e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  3.6730e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.339 sec

Sensitivity checks complete with        6 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2sr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.6762e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.5475e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.7074e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.1494e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.9126e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.5108e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  5.0699e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.0699e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.1735e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.4805e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.2543e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.4201e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.4579e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.4790e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.4240e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5710e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.2443e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.2543e-09)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  2.2543e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface=   1, ipnt= 293 (Z): anal=  -0.56617555,  fd=  -0.56605416,  err=  -0.00012139 (at   -1.68975079    0.43158808   -0.68434686)
iface=   1, ipnt= 301 (Z): anal=   0.47959131,  fd=   0.47948781,  err=   0.00010349 (at   -1.44832687    0.43135311    0.72410454)
iface=   1, ipnt= 317 (Z): anal=  -0.69167091,  fd=  -0.69152446,  err=  -0.00014645 (at   -2.07734580    0.42646297   -0.61887127)
iface=   1, ipnt= 332 (Z): anal=   0.77947807,  fd=   0.77933616,  err=   0.00014191 (at   -3.76891327    0.30749314    0.33821955)
iface=   1, ipnt= 364 (Z): anal=   0.83123451,  fd=   0.83107631,  err=   0.00015820 (at   -3.48883935    0.33862172    0.38239631)
iface=   1, ipnt= 365 (Z): anal=  -0.79596116,  fd=  -0.79583834,  err=  -0.00012282 (at   -3.47712232    0.39254886   -0.37298910)
iface=   1, ipnt= 372 (Z): anal=   0.68481225,  fd=   0.68470690,  err=   0.00010535 (at   -4.04420643    0.30557536    0.28913546)
iface=   1, ipnt= 428 (Z): anal=  -0.83956030,  fd=  -0.83967023,  err=   0.00010993 (at   -2.41635103    0.27703217   -0.58677832)
iface=   1, ipnt= 439 (Z): anal=  -0.90532668,  fd=  -0.90542879,  err=   0.00010210 (at   -2.80169336    0.26700657   -0.51780615)
iface=   1, ipnt= 450 (Z): anal=  -0.74555336,  fd=  -0.74542115,  err=  -0.00013221 (at   -3.90821460    0.29067883   -0.31656101)
...too many errors to list
iface=   2, ipnt= 288 (Z): anal=  -0.54921413,  fd=  -0.54909621,  err=  -0.00011792 (at   -1.64139016   -0.43174400   -0.69238967)
iface=   2, ipnt= 292 (Z): anal=   0.56617555,  fd=   0.56605416,  err=   0.00012139 (at   -1.68975079   -0.43158808    0.68434686)
iface=   2, ipnt= 317 (Z): anal=   0.69167091,  fd=   0.69152446,  err=   0.00014645 (at   -2.07734580   -0.42646297    0.61887127)
iface=   2, ipnt= 330 (Z): anal=  -0.77947807,  fd=  -0.77933616,  err=  -0.00014191 (at   -3.76891327   -0.30749314   -0.33821955)
iface=   2, ipnt= 364 (Z): anal=  -0.83123451,  fd=  -0.83107631,  err=  -0.00015820 (at   -3.48883935   -0.33862172   -0.38239631)
iface=   2, ipnt= 365 (Z): anal=   0.79596116,  fd=   0.79583834,  err=   0.00012282 (at   -3.47712232   -0.39254886    0.37298910)
iface=   2, ipnt= 369 (Z): anal=  -0.68481225,  fd=  -0.68470690,  err=  -0.00010535 (at   -4.04420643   -0.30557536   -0.28913546)
iface=   2, ipnt= 431 (Z): anal=   0.83956030,  fd=   0.83967023,  err=  -0.00010993 (at   -2.41635103   -0.27703217    0.58677832)
iface=   2, ipnt= 443 (Z): anal=   0.90532668,  fd=   0.90542879,  err=  -0.00010210 (at   -2.80169336   -0.26700657    0.51780615)
iface=   2, ipnt= 452 (Z): anal=   0.74555336,  fd=   0.74542115,  err=   0.00013221 (at   -3.90821460   -0.29067883    0.31656101)
...too many errors to list
    d(Face)/d(width) check complete with      124 total errors (errmax=  6.5141e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1146e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface=   1, ipnt= 289 (Z): anal=  -0.78113705,  fd=  -0.78098010,  err=  -0.00015695 (at   -0.31632809    0.39960417   -0.88844733)
iface=   1, ipnt= 294 (Z): anal=   0.67819974,  fd=   0.67806361,  err=   0.00013613 (at   -0.89870805    0.42189403    0.80961584)
iface=   1, ipnt= 300 (Z): anal=  -0.56534492,  fd=  -0.56523150,  err=  -0.00011342 (at   -1.28005035    0.42973308   -0.75113458)
iface=   1, ipnt= 301 (Z): anal=   0.50860543,  fd=   0.50850340,  err=   0.00010202 (at   -1.44832687    0.43135311    0.72410454)
iface=   1, ipnt= 309 (Z): anal=  -0.67819974,  fd=  -0.67806361,  err=  -0.00013613 (at   -0.89870805    0.42189403   -0.80961584)
iface=   1, ipnt= 312 (Z): anal=  -0.75924754,  fd=  -0.75909479,  err=  -0.00015274 (at    0.22097539    0.36899210   -0.94460933)
iface=   1, ipnt= 314 (Z): anal=   0.76027124,  fd=   0.76011854,  err=   0.00015270 (at   -0.50051014    0.40793432    0.86519134)
iface=   1, ipnt= 321 (Z): anal=   0.78690797,  fd=   0.78674976,  err=   0.00015820 (at   -0.04467817    0.38526288    0.91925020)
iface=   1, ipnt= 325 (Z): anal=  -0.66511061,  fd=  -0.66497666,  err=  -0.00013395 (at    0.61251545    0.34180364   -0.97231994)
iface=   1, ipnt= 330 (Z): anal=   0.73395914,  fd=   0.73381143,  err=   0.00014771 (at    0.35206451    0.36024998    0.95520672)
...too many errors to list
iface=   2, ipnt= 293 (Z): anal=  -0.67819974,  fd=  -0.67806361,  err=  -0.00013613 (at   -0.89870805   -0.42189403   -0.80961584)
iface=   2, ipnt= 300 (Z): anal=   0.56534492,  fd=   0.56523150,  err=   0.00011342 (at   -1.28005035   -0.42973308    0.75113458)
iface=   2, ipnt= 301 (Z): anal=   0.78113705,  fd=   0.78098010,  err=   0.00015695 (at   -0.31632809   -0.39960417    0.88844733)
iface=   2, ipnt= 303 (Z): anal=  -0.75924754,  fd=  -0.75909479,  err=  -0.00015274 (at    0.22097539   -0.36899210   -0.94460933)
iface=   2, ipnt= 304 (Z): anal=  -0.76027124,  fd=  -0.76011854,  err=  -0.00015270 (at   -0.50051014   -0.40793432   -0.86519134)
iface=   2, ipnt= 309 (Z): anal=   0.67819974,  fd=   0.67806361,  err=   0.00013613 (at   -0.89870805   -0.42189403    0.80961584)
iface=   2, ipnt= 315 (Z): anal=  -0.56925822,  fd=  -0.56914401,  err=  -0.00011421 (at   -1.26805904   -0.42957347   -0.75303561)
iface=   2, ipnt= 322 (Z): anal=   0.73395914,  fd=   0.73381143,  err=   0.00014771 (at    0.35206451   -0.36024998    0.95520672)
iface=   2, ipnt= 325 (Z): anal=   0.49799621,  fd=   0.49789578,  err=   0.00010043 (at    1.09211163   -0.30581472    0.98994517)
iface=   2, ipnt= 327 (Z): anal=  -0.57836562,  fd=  -0.57824905,  err=  -0.00011656 (at    0.87299785   -0.32240979   -0.98410234)
...too many errors to list
    d(Face)/d(width) check complete with      135 total errors (errmax=  4.1400e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  9.5078e-09)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface=   1, ipnt= 435 (Z): anal=  -0.50639576,  fd=  -0.50629510,  err=  -0.00010065 (at    1.87364150    0.24969439   -0.98385377)
iface=   1, ipnt= 436 (Z): anal=   0.50639576,  fd=   0.50629510,  err=   0.00010065 (at    1.87364150    0.24969439    0.98385377)
iface=   1, ipnt= 444 (Z): anal=   0.54097692,  fd=   0.54086922,  err=   0.00010770 (at    2.24810523    0.22676701    0.96897182)
iface=   1, ipnt= 454 (Z): anal=  -0.54790806,  fd=  -0.54779883,  err=  -0.00010923 (at    2.40484968    0.21817896   -0.96101778)
iface=   1, ipnt= 456 (Z): anal=  -0.53607389,  fd=  -0.53596722,  err=  -0.00010667 (at    2.17131175    0.23119851   -0.97252418)
iface=   1, ipnt= 466 (Z): anal=   0.54939590,  fd=   0.54928631,  err=   0.00010958 (at    2.45808094    0.21540458    0.95811704)
iface=   1, ipnt= 467 (Z): anal=  -0.54990542,  fd=  -0.54979522,  err=  -0.00011020 (at    2.81004002    0.19890718   -0.93674377)
iface=   1, ipnt= 469 (Z): anal=   0.55118858,  fd=   0.55107828,  err=   0.00011030 (at    2.71815882    0.20290337    0.94266028)
iface=   1, ipnt= 474 (Z): anal=  -0.55151215,  fd=  -0.55140193,  err=  -0.00011022 (at    2.62090563    0.20737241   -0.94867531)
iface=   1, ipnt= 502 (Z): anal=  -0.53842348,  fd=  -0.53831490,  err=  -0.00010858 (at    3.14046122    0.18631768   -0.91381825)
...too many errors to list
iface=   2, ipnt= 438 (Z): anal=   0.50639576,  fd=   0.50629510,  err=   0.00010065 (at    1.87364150   -0.24969439    0.98385377)
iface=   2, ipnt= 439 (Z): anal=  -0.50639576,  fd=  -0.50629510,  err=  -0.00010065 (at    1.87364150   -0.24969439   -0.98385377)
iface=   2, ipnt= 447 (Z): anal=  -0.54097692,  fd=  -0.54086922,  err=  -0.00010770 (at    2.24810523   -0.22676701   -0.96897182)
iface=   2, ipnt= 453 (Z): anal=   0.54790806,  fd=   0.54779883,  err=   0.00010923 (at    2.40484968   -0.21817896    0.96101778)
iface=   2, ipnt= 456 (Z): anal=   0.53607389,  fd=   0.53596722,  err=   0.00010667 (at    2.17131175   -0.23119851    0.97252418)
iface=   2, ipnt= 460 (Z): anal=   0.55146376,  fd=   0.55135348,  err=   0.00011029 (at    2.67626740   -0.20479822    0.94528362)
iface=   2, ipnt= 469 (Z): anal=   0.54661531,  fd=   0.54650553,  err=   0.00010979 (at    2.93986947   -0.19363346    0.92803031)
iface=   2, ipnt= 470 (Z): anal=  -0.54939590,  fd=  -0.54928631,  err=  -0.00010958 (at    2.45808094   -0.21540458   -0.95811704)
iface=   2, ipnt= 471 (Z): anal=  -0.55118858,  fd=  -0.55107828,  err=  -0.00011030 (at    2.71815882   -0.20290337   -0.94266028)
iface=   2, ipnt= 482 (Z): anal=  -0.54638182,  fd=  -0.54627206,  err=  -0.00010975 (at    2.94717363   -0.19334968   -0.92752859)
...too many errors to list
    d(Face)/d(width) check complete with      147 total errors (errmax=  4.8521e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5270e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  2.2543e-09)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rnose" for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  2.2543e-09)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rtail" for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6247e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.4159e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xbase" for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  1.7871e-09)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.0022e-09)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "ybase" for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.2539e-09)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "zbase" for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.2546e-09)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  3.6165e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.946 sec

Sensitivity checks complete with      406 tnotal errors (max config err=  6.5141e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2sr.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt= 113: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 113: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
iedge=   1, ipnt=   0: anal=  -5.99436121    0.00000000    0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -5.99436121   -0.00000000   -0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  3.6619e-04)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4421e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.9715e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.0105e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.5610e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6124e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.6124e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.2435e-06)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.5989e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.3983e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.2295e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.7431e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.1516e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.8797e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  6.6691e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1420e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.2473e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  9.6509e-09)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.0518e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5296e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6533e-07)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  2.5353e-07)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.6645e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  1.7773e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.3368e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  1.7769e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.408 sec

Sensitivity checks complete with        8 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2ss.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.5870e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.5285e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)

*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6146e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  2.1216e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.7639e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.7639e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.6958e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.7060e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.6120e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.6211e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  4.1891e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.4966e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.3660e-07)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  2.7249e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.5786e-06)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  1.2665e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface=   1, ipnt= 293 (Z): anal=   0.49693616,  fd=   0.49682909,  err=   0.00010707 (at   -1.52857925    0.42910741    0.70489291)
iface=   1, ipnt= 301 (Z): anal=  -0.67015676,  fd=  -0.67001451,  err=  -0.00014225 (at   -2.02721026    0.42621025   -0.62325888)
iface=   1, ipnt= 305 (Z): anal=  -0.53187382,  fd=  -0.53175950,  err=  -0.00011432 (at   -1.62371943    0.42941284   -0.68952678)
iface=   1, ipnt= 306 (Z): anal=   0.67015676,  fd=   0.67001451,  err=   0.00014225 (at   -2.02721026    0.42621025    0.62325888)
iface=   1, ipnt= 309 (Z): anal=  -0.83002874,  fd=  -0.82985795,  err=  -0.00017079 (at   -2.68808465    0.40282748   -0.51324725)
iface=   1, ipnt= 315 (Z): anal=   0.83002874,  fd=   0.82985795,  err=   0.00017079 (at   -2.68808465    0.40282748    0.51324725)
iface=   1, ipnt= 326 (Z): anal=   0.86033780,  fd=   0.86016740,  err=   0.00017040 (at   -3.15663927    0.37011421    0.43654913)
iface=   1, ipnt= 331 (Z): anal=  -0.85864253,  fd=  -0.85847331,  err=  -0.00016922 (at   -3.20331863    0.36606342   -0.42903802)
iface=   1, ipnt= 339 (Z): anal=   0.76379761,  fd=   0.76363764,  err=   0.00015997 (at   -2.35828986    0.41755445    0.56813853)
iface=   1, ipnt= 346 (Z): anal=  -0.76918647,  fd=  -0.76904761,  err=  -0.00013885 (at   -3.80769432    0.30257227   -0.33370041)
...too many errors to list
iface=   2, ipnt= 293 (Z): anal=  -0.49693616,  fd=  -0.49682909,  err=  -0.00010707 (at   -1.52857925   -0.42910741   -0.70489291)
iface=   2, ipnt= 299 (Z): anal=   0.67015676,  fd=   0.67001451,  err=   0.00014225 (at   -2.02721026   -0.42621025    0.62325888)
iface=   2, ipnt= 306 (Z): anal=   0.53187382,  fd=   0.53175950,  err=   0.00011432 (at   -1.62371943   -0.42941284    0.68952678)
iface=   2, ipnt= 307 (Z): anal=  -0.67015676,  fd=  -0.67001451,  err=  -0.00014225 (at   -2.02721026   -0.42621025   -0.62325888)
iface=   2, ipnt= 309 (Z): anal=   0.83002874,  fd=   0.82985795,  err=   0.00017079 (at   -2.68808465   -0.40282748    0.51324725)
iface=   2, ipnt= 315 (Z): anal=  -0.83002874,  fd=  -0.82985795,  err=  -0.00017079 (at   -2.68808465   -0.40282748   -0.51324725)
iface=   2, ipnt= 326 (Z): anal=  -0.86033780,  fd=  -0.86016740,  err=  -0.00017040 (at   -3.15663927   -0.37011421   -0.43654913)
iface=   2, ipnt= 330 (Z): anal=   0.85864253,  fd=   0.85847331,  err=   0.00016922 (at   -3.20331863   -0.36606342    0.42903802)
iface=   2, ipnt= 339 (Z): anal=  -0.76379761,  fd=  -0.76363764,  err=  -0.00015997 (at   -2.35828986   -0.41755445   -0.56813853)
iface=   2, ipnt= 346 (Z): anal=   0.76918647,  fd=   0.76904761,  err=   0.00013885 (at   -3.80769432   -0.30257227    0.33370041)
...too many errors to list
    d(Face)/d(width) check complete with      116 total errors (errmax=  5.4620e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1070e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface=   1, ipnt= 295 (Z): anal=  -0.66369589,  fd=  -0.66356263,  err=  -0.00013326 (at   -0.98033754    0.42050621   -0.79045532)
iface=   1, ipnt= 299 (Z): anal=   0.68205008,  fd=   0.68191313,  err=   0.00013695 (at   -0.90870465    0.41860882    0.80116894)
iface=   1, ipnt= 300 (Z): anal=  -0.75375092,  fd=  -0.75359949,  err=  -0.00015142 (at   -0.55023624    0.40683610   -0.85273713)
iface=   1, ipnt= 303 (Z): anal=   0.64367878,  fd=   0.64354918,  err=   0.00012960 (at    0.76538071    0.34057135    1.00028456)
iface=   1, ipnt= 310 (Z): anal=   0.76641326,  fd=   0.76625927,  err=   0.00015399 (at   -0.45457756    0.40311352    0.86585719)
iface=   1, ipnt= 317 (Z): anal=  -0.78216454,  fd=  -0.78200727,  err=  -0.00015727 (at    0.00000382    0.38267583   -0.92386604)
iface=   1, ipnt= 328 (Z): anal=   0.54063164,  fd=   0.54052271,  err=   0.00010893 (at    1.09967879    0.31991458    1.02189622)
iface=   1, ipnt= 330 (Z): anal=  -0.64367878,  fd=  -0.64354918,  err=  -0.00012960 (at    0.76538071    0.34057135   -1.00028456)
iface=   1, ipnt= 335 (Z): anal=   0.73475875,  fd=   0.73461092,  err=   0.00014783 (at    0.38282784    0.36264250    0.96610802)
iface=   1, ipnt= 340 (Z): anal=  -0.73475875,  fd=  -0.73461092,  err=  -0.00014783 (at    0.38282784    0.36264250   -0.96610802)
...too many errors to list
iface=   2, ipnt= 288 (Z): anal=  -0.68205008,  fd=  -0.68191313,  err=  -0.00013695 (at   -0.90870465   -0.41860882   -0.80116894)
iface=   2, ipnt= 295 (Z): anal=   0.66369589,  fd=   0.66356263,  err=   0.00013326 (at   -0.98033754   -0.42050621    0.79045532)
iface=   2, ipnt= 298 (Z): anal=   0.75375092,  fd=   0.75359949,  err=   0.00015142 (at   -0.55023624   -0.40683610    0.85273713)
iface=   2, ipnt= 301 (Z): anal=   0.64367878,  fd=   0.64354918,  err=   0.00012960 (at    0.76538071   -0.34057135    1.00028456)
iface=   2, ipnt= 310 (Z): anal=  -0.64367878,  fd=  -0.64354918,  err=  -0.00012960 (at    0.76538071   -0.34057135   -1.00028456)
iface=   2, ipnt= 311 (Z): anal=  -0.76641326,  fd=  -0.76625927,  err=  -0.00015399 (at   -0.45457756   -0.40311352   -0.86585719)
iface=   2, ipnt= 317 (Z): anal=  -0.73475875,  fd=  -0.73461092,  err=  -0.00014783 (at    0.38282784   -0.36264250   -0.96610802)
iface=   2, ipnt= 322 (Z): anal=   0.78216454,  fd=   0.78200727,  err=   0.00015727 (at    0.00000382   -0.38267583    0.92386604)
iface=   2, ipnt= 327 (Z): anal=   0.54063164,  fd=   0.54052271,  err=   0.00010893 (at    1.09967879   -0.31991458    1.02189622)
iface=   2, ipnt= 333 (Z): anal=   0.73475875,  fd=   0.73461092,  err=   0.00014783 (at    0.38282784   -0.36264250    0.96610802)
...too many errors to list
    d(Face)/d(width) check complete with      137 total errors (errmax=  4.1223e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1821e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface=   1, ipnt= 358 (Z): anal=   0.50878491,  fd=   0.50867684,  err=   0.00010807 (at    2.14559813    0.25002146    1.02304100)
iface=   1, ipnt= 367 (Z): anal=  -0.50878491,  fd=  -0.50867684,  err=  -0.00010807 (at    2.14559813    0.25002146   -1.02304100)
iface=   1, ipnt= 434 (Z): anal=  -0.53126272,  fd=  -0.53115115,  err=  -0.00011157 (at    2.38190052    0.23370639   -1.00598445)
iface=   1, ipnt= 435 (Z): anal=   0.53126272,  fd=   0.53115115,  err=   0.00011157 (at    2.38190052    0.23370639    1.00598445)
iface=   1, ipnt= 450 (Z): anal=  -0.54018035,  fd=  -0.54006812,  err=  -0.00011223 (at    2.57046881    0.22069076   -0.98694663)
iface=   1, ipnt= 451 (Z): anal=   0.54018035,  fd=   0.54006812,  err=   0.00011223 (at    2.57046881    0.22069076    0.98694663)
iface=   1, ipnt= 472 (Z): anal=  -0.53833182,  fd=  -0.53822218,  err=  -0.00010964 (at    2.85245241    0.20134996   -0.94877740)
iface=   1, ipnt= 478 (Z): anal=   0.53833182,  fd=   0.53822218,  err=   0.00010964 (at    2.85245241    0.20134996    0.94877740)
iface=   1, ipnt= 516 (Z): anal=  -0.51898178,  fd=  -0.51887883,  err=  -0.00010295 (at    3.13329669    0.18238006   -0.89832118)
iface=   1, ipnt= 520 (Z): anal=   0.51898178,  fd=   0.51887883,  err=   0.00010295 (at    3.13329669    0.18238006    0.89832118)
...too many errors to list
iface=   2, ipnt= 356 (Z): anal=  -0.50878491,  fd=  -0.50867684,  err=  -0.00010807 (at    2.14559813   -0.25002146   -1.02304100)
iface=   2, ipnt= 431 (Z): anal=   0.50281943,  fd=   0.50271241,  err=   0.00010702 (at    2.09826401   -0.25328242    1.02559520)
iface=   2, ipnt= 434 (Z): anal=   0.52376309,  fd=   0.52365257,  err=   0.00011052 (at    2.28745532   -0.24023122    1.01368084)
iface=   2, ipnt= 436 (Z): anal=  -0.53126272,  fd=  -0.53115115,  err=  -0.00011157 (at    2.38190052   -0.23370639   -1.00598445)
iface=   2, ipnt= 449 (Z): anal=   0.54018035,  fd=   0.54006812,  err=   0.00011223 (at    2.57046881   -0.22069076    0.98694663)
iface=   2, ipnt= 451 (Z): anal=  -0.54018035,  fd=  -0.54006812,  err=  -0.00011223 (at    2.57046881   -0.22069076   -0.98694663)
iface=   2, ipnt= 470 (Z): anal=   0.53833182,  fd=   0.53822218,  err=   0.00010964 (at    2.85245241   -0.20134996    0.94877740)
iface=   2, ipnt= 475 (Z): anal=  -0.53833182,  fd=  -0.53822218,  err=  -0.00010964 (at    2.85245241   -0.20134996   -0.94877740)
iface=   2, ipnt= 539 (Z): anal=   0.52720523,  fd=   0.52709964,  err=   0.00010560 (at    3.03981292   -0.18865359    0.91653541)
iface=   2, ipnt= 540 (Z): anal=  -0.52720523,  fd=  -0.52709964,  err=  -0.00010560 (at    3.03981292   -0.18865359   -0.91653541)
...too many errors to list
    d(Face)/d(width) check complete with      170 total errors (errmax=  5.0282e-04)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5344e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rnose" for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "Rtail" for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  8.3626e-10)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "xbase" for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  8.7607e-10)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  3.4111e-10)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "ybase" for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  8.1652e-10)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  4.4409e-16)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10

Comparing configuration sensitivities wrt "zbase" for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  8.3592e-10)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  5.2626e-10)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.077 sec

Sensitivity checks complete with      423 tnotal errors (max config err=  5.4620e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designF2ss.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "xloc[1,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[1,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
iface=   2, ipnt= 120: anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  6.0000e-03)
iedge=   1, ipnt=   0: anal=  -5.99436121    0.00000000    0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -5.99436121   -0.00000000   -0.00006020, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00036619 (at   -6.00000000    0.00000000    0.00000000)
    d(Edge)/d(xloc) check complete with        2 total errors (errmax=  3.6619e-04)
inode=   1:            anal=  -6.00000000    0.00000000    0.00000000, ptrb=  -5.99400000    0.00000000    0.00000000, dist=   0.00600000 (at   -5.99400000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)

*********************************************************
Starting tessellation sensitivity wrt "xloc[2,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[2,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4058e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  1.9547e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[3,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  3.8013e-08)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  3.8000e-08)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[4,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[4,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xloc) check complete with        0 total errors (errmax=  4.4164e-07)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  4.4219e-07)
    d(Node)/d(xloc) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "xloc[5,1]"
*********************************************************

Generating perturbed configuration with delta-xloc[5,1]=   0.00600000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
iface=   1, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057672    0.00013144   -0.00177469, dist=   0.00187067 (at    6.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00057672   -0.00013144    0.00177469, dist=   0.00187067 (at    6.00000000    0.00000000    0.00000000)
    d(Face)/d(xloc) check complete with        2 total errors (errmax=  1.8707e-03)
    d(Edge)/d(xloc) check complete with        0 total errors (errmax=  5.9766e-05)
inode=   2:            anal=   6.00000000    0.00000000    0.00000000, ptrb=   6.00600000    0.00000000    0.00000000, dist=   0.00600000 (at    6.00600000    0.00000000    0.00000000)
    d(Node)/d(xloc) check complete with        1 total errors (errmax=  6.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "height[1,1]"
*********************************************************

Generating perturbed configuration with delta-height[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[2,1]"
*********************************************************

Generating perturbed configuration with delta-height[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  3.5152e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.4563e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[3,1]"
*********************************************************

Generating perturbed configuration with delta-height[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.1819e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.7169e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[4,1]"
*********************************************************

Generating perturbed configuration with delta-height[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  1.1247e-08)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  9.6287e-09)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "height[5,1]"
*********************************************************

Generating perturbed configuration with delta-height[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(height) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(height) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "width[1,1]"
*********************************************************

Generating perturbed configuration with delta-width[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[2,1]"
*********************************************************

Generating perturbed configuration with delta-width[2,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.6698e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1266e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[3,1]"
*********************************************************

Generating perturbed configuration with delta-width[3,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  4.2403e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  1.1826e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[4,1]"
*********************************************************

Generating perturbed configuration with delta-width[4,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  5.4287e-07)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  3.5312e-08)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)

*********************************************************
Starting tessellation sensitivity wrt "width[5,1]"
*********************************************************

Generating perturbed configuration with delta-width[5,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(width) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(width) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rnose"
*********************************************************

Generating perturbed configuration with delta-Rnose[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rnose) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rnose) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Rtail"
*********************************************************

Generating perturbed configuration with delta-Rtail[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(Rtail) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Rtail) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "xbase"
*********************************************************

Generating perturbed configuration with delta-xbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(xbase) check complete with        0 total errors (errmax=  2.6674e-15)
    d(Edge)/d(xbase) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(xbase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "ybase"
*********************************************************

Generating perturbed configuration with delta-ybase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(ybase) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(ybase) check complete with        0 total errors (errmax=  6.5052e-19)
    d(Node)/d(ybase) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "zbase"
*********************************************************

Generating perturbed configuration with delta-zbase[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=10
Computing distances of perturbed points from perturbed configuration for ibody=10
    d(Face)/d(zbase) check complete with        0 total errors (errmax=  2.6789e-15)
    d(Edge)/d(zbase) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(zbase) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.217 sec

Sensitivity checks complete with        8 total errors (max tessel err=  6.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "area" for ibody=8
    d(Face)/d(area) check complete with        0 total errors (errmax=  3.8931e-09)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  3.9893e-09)
    d(Node)/d(area) check complete with        0 total errors (errmax=  4.2902e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "aspect" for ibody=8
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  4.0830e-08)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  5.2589e-08)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.6347e-08)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "taper" for ibody=8
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.1982e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  1.5651e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6765e-06)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "twist" for ibody=8
    d(Face)/d(twist) check complete with        0 total errors (errmax=  5.9336e-10)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "lesweep" for ibody=8
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.8041e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.7734e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.6058e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "dihedral" for ibody=8
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  7.1425e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  6.6641e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.2003e-11)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "thick_r" for ibody=8
iface=   1, ipnt=  41 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    5.66620905    7.07106781    0.64072577)
iface=   1, ipnt=  50 (X): anal=  -0.09337563,  fd=  -0.09307219,  err=  -0.00030344 (at    4.07920685    7.07106781    0.15441681)
iface=   1, ipnt=  50 (Y): anal=   0.05367312,  fd=   0.05349870,  err=   0.00017442 (at    4.07920685    7.07106781    0.15441681)
iface=   1, ipnt=  51 (X): anal=  -0.02685060,  fd=  -0.02700398,  err=   0.00015338 (at    4.07878763    7.07106781    0.13871143)
iface=   1, ipnt= 181 (X): anal=  -0.02685060,  fd=  -0.02700398,  err=   0.00015338 (at   -0.00369528    0.00000000    0.01528549)
iface=   1, ipnt= 182 (X): anal=  -0.09337563,  fd=  -0.09307219,  err=  -0.00030344 (at   -0.00327605    0.00000000    0.03099086)
iface=   1, ipnt= 182 (Y): anal=   0.05367312,  fd=   0.05349870,  err=   0.00017442 (at   -0.00327605    0.00000000    0.03099086)
iface=   1, ipnt= 191 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    1.58372615    0.00000000    0.51729982)
iface=   1, ipnt= 292 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    3.16349553    2.73624084    0.56506109)
iface=   1, ipnt= 301 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    3.95387858    4.10522443    0.58895678)
...too many errors to list
iface=   2, ipnt= 129 (X): anal=  -0.02107464,  fd=  -0.02120834,  err=   0.00013370 (at    4.08982250    7.07106781    0.11047353)
iface=   2, ipnt= 129 (Z): anal=  -0.01583591,  fd=  -0.01593637,  err=   0.00010046 (at    4.08982250    7.07106781    0.11047353)
iface=   2, ipnt= 130 (X): anal=  -0.06320723,  fd=  -0.06300799,  err=  -0.00019924 (at    4.10010390    7.07106781    0.09972159)
iface=   2, ipnt= 130 (Y): anal=   0.03781182,  fd=   0.03769263,  err=   0.00011919 (at    4.10010390    7.07106781    0.09972159)
iface=   2, ipnt= 130 (Z): anal=  -0.07557187,  fd=  -0.07533366,  err=  -0.00023821 (at    4.10010390    7.07106781    0.09972159)
iface=   2, ipnt= 198 (X): anal=  -0.06320723,  fd=  -0.06300799,  err=  -0.00019924 (at    0.01762099   -0.00000000   -0.02370436)
iface=   2, ipnt= 198 (Y): anal=   0.03781182,  fd=   0.03769263,  err=   0.00011919 (at    0.01762099   -0.00000000   -0.02370436)
iface=   2, ipnt= 198 (Z): anal=  -0.07557187,  fd=  -0.07533366,  err=  -0.00023821 (at    0.01762099   -0.00000000   -0.02370436)
iface=   2, ipnt= 199 (X): anal=  -0.02107464,  fd=  -0.02120834,  err=   0.00013370 (at    0.00733960   -0.00000000   -0.01295241)
iface=   2, ipnt= 199 (Z): anal=  -0.01583591,  fd=  -0.01593637,  err=   0.00010046 (at    0.00733960   -0.00000000   -0.01295241)
...too many errors to list
iface=   5, ipnt=   9 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    5.66620905   -7.07106781    0.64072577)
iface=   5, ipnt=  18 (X): anal=  -0.09337563,  fd=  -0.09307219,  err=  -0.00030344 (at    4.07920685   -7.07106781    0.15441681)
iface=   5, ipnt=  18 (Y): anal=  -0.05367312,  fd=  -0.05349870,  err=  -0.00017442 (at    4.07920685   -7.07106781    0.15441681)
iface=   5, ipnt=  19 (X): anal=  -0.02685060,  fd=  -0.02700398,  err=   0.00015338 (at    4.07878763   -7.07106781    0.13871143)
iface=   5, ipnt= 149 (X): anal=  -0.02685060,  fd=  -0.02700398,  err=   0.00015338 (at   -0.00369528    0.00000000    0.01528549)
iface=   5, ipnt= 150 (X): anal=  -0.09337563,  fd=  -0.09307219,  err=  -0.00030344 (at   -0.00327605    0.00000000    0.03099086)
iface=   5, ipnt= 150 (Y): anal=  -0.05367312,  fd=  -0.05349870,  err=  -0.00017442 (at   -0.00327605    0.00000000    0.03099086)
iface=   5, ipnt= 159 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    1.58372615    0.00000000    0.51729982)
iface=   5, ipnt= 239 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    5.33131788   -6.49101928    0.63060099)
iface=   5, ipnt= 293 (Z): anal=   1.79137264,  fd=   1.79150017,  err=  -0.00012753 (at    3.95686868   -4.11040343    0.58904718)
...too many errors to list
iface=   6, ipnt=   1 (X): anal=  -0.02107464,  fd=  -0.02120834,  err=   0.00013370 (at    4.08982250   -7.07106781    0.11047353)
iface=   6, ipnt=   1 (Z): anal=  -0.01583591,  fd=  -0.01593637,  err=   0.00010046 (at    4.08982250   -7.07106781    0.11047353)
iface=   6, ipnt=   2 (X): anal=  -0.06320723,  fd=  -0.06300799,  err=  -0.00019924 (at    4.10010390   -7.07106781    0.09972159)
iface=   6, ipnt=   2 (Y): anal=  -0.03781182,  fd=  -0.03769263,  err=  -0.00011919 (at    4.10010390   -7.07106781    0.09972159)
iface=   6, ipnt=   2 (Z): anal=  -0.07557187,  fd=  -0.07533366,  err=  -0.00023821 (at    4.10010390   -7.07106781    0.09972159)
iface=   6, ipnt=  70 (X): anal=  -0.06320723,  fd=  -0.06300799,  err=  -0.00019924 (at    0.01762099   -0.00000000   -0.02370436)
iface=   6, ipnt=  70 (Y): anal=  -0.03781182,  fd=  -0.03769263,  err=  -0.00011919 (at    0.01762099   -0.00000000   -0.02370436)
iface=   6, ipnt=  70 (Z): anal=  -0.07557187,  fd=  -0.07533366,  err=  -0.00023821 (at    0.01762099   -0.00000000   -0.02370436)
iface=   6, ipnt=  71 (X): anal=  -0.02107464,  fd=  -0.02120834,  err=   0.00013370 (at    0.00733960   -0.00000000   -0.01295241)
iface=   6, ipnt=  71 (Z): anal=  -0.01583591,  fd=  -0.01593637,  err=   0.00010046 (at    0.00733960   -0.00000000   -0.01295241)
...too many errors to list
    d(Face)/d(thick_r) check complete with     2322 total errors (errmax=  3.0420e-04)
iedge=   3, ipnt=   9 (Z): anal=   1.79527219,  fd=   1.79539999,  err=  -0.00012781 (at    1.58372615    0.00000000    0.51729982)
iedge=   3, ipnt=  18 (X): anal=  -0.12358685,  fd=  -0.12318524,  err=  -0.00040161 (at   -0.00327605    0.00000000    0.03099086)
iedge=   3, ipnt=  19 (X): anal=  -0.03576525,  fd=  -0.03596955,  err=   0.00020430 (at   -0.00369528    0.00000000    0.01528549)
iedge=   4, ipnt=   9 (Z): anal=   1.79527219,  fd=   1.79539999,  err=  -0.00012781 (at    5.66620905    7.07106781    0.64072577)
iedge=   4, ipnt=  18 (X): anal=  -0.12358685,  fd=  -0.12318524,  err=  -0.00040161 (at    4.07920685    7.07106781    0.15441681)
iedge=   4, ipnt=  19 (X): anal=  -0.03576525,  fd=  -0.03596955,  err=   0.00020430 (at    4.07878763    7.07106781    0.13871143)
iedge=   6, ipnt=   1 (X): anal=  -0.02577075,  fd=  -0.02593424,  err=   0.00016349 (at    0.00733960   -0.00000000   -0.01295241)
iedge=   6, ipnt=   1 (Z): anal=  -0.01936466,  fd=  -0.01948751,  err=   0.00012285 (at    0.00733960   -0.00000000   -0.01295241)
iedge=   6, ipnt=   2 (X): anal=  -0.07251766,  fd=  -0.07228907,  err=  -0.00022859 (at    0.01762099   -0.00000000   -0.02370436)
iedge=   6, ipnt=   2 (Z): anal=  -0.08670362,  fd=  -0.08643032,  err=  -0.00027330 (at    0.01762099   -0.00000000   -0.02370436)
iedge=   7, ipnt=   1 (X): anal=  -0.02577075,  fd=  -0.02593424,  err=   0.00016349 (at    4.08982250    7.07106781    0.11047353)
iedge=   7, ipnt=   1 (Z): anal=  -0.01936466,  fd=  -0.01948751,  err=   0.00012285 (at    4.08982250    7.07106781    0.11047353)
iedge=   7, ipnt=   2 (X): anal=  -0.07251766,  fd=  -0.07228907,  err=  -0.00022859 (at    4.10010390    7.07106781    0.09972159)
iedge=   7, ipnt=   2 (Z): anal=  -0.08670362,  fd=  -0.08643032,  err=  -0.00027330 (at    4.10010390    7.07106781    0.09972159)
iedge=  12, ipnt=   9 (Z): anal=   1.79527219,  fd=   1.79539999,  err=  -0.00012781 (at    5.66620905   -7.07106781    0.64072577)
iedge=  12, ipnt=  18 (X): anal=  -0.12358685,  fd=  -0.12318524,  err=  -0.00040161 (at    4.07920685   -7.07106781    0.15441681)
iedge=  12, ipnt=  19 (X): anal=  -0.03576525,  fd=  -0.03596955,  err=   0.00020430 (at    4.07878763   -7.07106781    0.13871143)
iedge=  14, ipnt=   1 (X): anal=  -0.02577075,  fd=  -0.02593424,  err=   0.00016349 (at    4.08982250   -7.07106781    0.11047353)
iedge=  14, ipnt=   1 (Z): anal=  -0.01936466,  fd=  -0.01948751,  err=   0.00012285 (at    4.08982250   -7.07106781    0.11047353)
iedge=  14, ipnt=   2 (X): anal=  -0.07251766,  fd=  -0.07228907,  err=  -0.00022859 (at    4.10010390   -7.07106781    0.09972159)
iedge=  14, ipnt=   2 (Z): anal=  -0.08670362,  fd=  -0.08643032,  err=  -0.00027330 (at    4.10010390   -7.07106781    0.09972159)
    d(Edge)/d(thick_r) check complete with       21 total errors (errmax=  4.0161e-04)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.3189e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "camber_r" for ibody=8
iface=   1, ipnt=  41 (Z): anal=   3.75043366,  fd=   3.75076301,  err=  -0.00032935 (at    5.66620905    7.07106781    0.64072577)
iface=   1, ipnt=  42 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    5.41532029    7.07106781    0.64512085)
iface=   1, ipnt= 190 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    1.33283738    0.00000000    0.52169490)
iface=   1, ipnt= 191 (Z): anal=   3.75043366,  fd=   3.75076301,  err=  -0.00032935 (at    1.58372615    0.00000000    0.51729982)
iface=   1, ipnt= 226 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    4.56214515    5.59332512    0.61932676)
iface=   1, ipnt= 233 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    3.98007239    4.58514553    0.60172892)
iface=   1, ipnt= 250 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    2.95945167    2.81737858    0.57087243)
iface=   1, ipnt= 261 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    1.89098934    0.96674755    0.53856954)
iface=   1, ipnt= 264 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    3.53355082    3.81174749    0.58822920)
iface=   1, ipnt= 269 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    2.20195972    1.50536405    0.54797113)
...too many errors to list
iface=   2, ipnt= 138 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    5.48162751    7.07106781    0.20084793)
iface=   2, ipnt= 190 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    1.39914460    0.00000000    0.07742198)
iface=   2, ipnt= 225 (Z): anal=   3.76514527,  fd=   3.76484024,  err=   0.00030503 (at    1.88456453    0.63529125    0.09427194)
iface=   2, ipnt= 228 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.02575888    2.81737858    0.12659951)
iface=   2, ipnt= 244 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    4.68426756    5.68999988    0.17674130)
iface=   2, ipnt= 256 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.35267646    3.38361643    0.13648323)
iface=   2, ipnt= 274 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    2.59119771    2.06469656    0.11346139)
iface=   2, ipnt= 278 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.71148843    4.00509700    0.14733121)
iface=   2, ipnt= 280 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    2.33205573    1.61584948    0.10562674)
iface=   2, ipnt= 287 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    4.43309918    5.25496348    0.16914771)
...too many errors to list
iface=   5, ipnt=   9 (Z): anal=   3.75043366,  fd=   3.75076301,  err=  -0.00032936 (at    5.66620905   -7.07106781    0.64072577)
iface=   5, ipnt=  10 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    5.41532029   -7.07106781    0.64512085)
iface=   5, ipnt= 158 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    1.33283738    0.00000000    0.52169490)
iface=   5, ipnt= 159 (Z): anal=   3.75043366,  fd=   3.75076301,  err=  -0.00032935 (at    1.58372615    0.00000000    0.51729982)
iface=   5, ipnt= 221 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    4.56214515   -5.59332512    0.61932676)
iface=   5, ipnt= 225 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    2.33352411   -1.73324025    0.55194872)
iface=   5, ipnt= 238 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    3.98007239   -4.58514553    0.60172892)
iface=   5, ipnt= 239 (Z): anal=   3.75043366,  fd=   3.75076301,  err=  -0.00032935 (at    5.33131788   -6.49101928    0.63060099)
iface=   5, ipnt= 248 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    1.89098934   -0.96674755    0.53856954)
iface=   5, ipnt= 256 (Z): anal=   3.72106396,  fd=   3.72121390,  err=  -0.00014994 (at    2.95945167   -2.81737858    0.57087243)
...too many errors to list
iface=   6, ipnt=  10 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    5.48162751   -7.07106781    0.20084793)
iface=   6, ipnt=  62 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    1.39914460    0.00000000    0.07742198)
iface=   6, ipnt= 228 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.02575888   -2.81737858    0.12659951)
iface=   6, ipnt= 235 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    1.67024698   -0.46956310    0.08561824)
iface=   6, ipnt= 237 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    4.68426756   -5.68999988    0.17674130)
iface=   6, ipnt= 244 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    5.14673633   -6.49101928    0.19072314)
iface=   6, ipnt= 252 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    2.59119771   -2.06469656    0.11346139)
iface=   6, ipnt= 257 (Z): anal=   3.75623407,  fd=   3.75572550,  err=   0.00050857 (at    2.06444072   -1.04961163    0.09891682)
iface=   6, ipnt= 261 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.35267646   -3.38361643    0.13648323)
iface=   6, ipnt= 275 (Z): anal=   3.73210668,  fd=   3.73227187,  err=  -0.00016519 (at    3.71148843   -4.00509700    0.14733121)
...too many errors to list
    d(Face)/d(camber_r) check complete with      165 total errors (errmax=  7.4709e-04)
iedge=   3, ipnt=   9 (Z): anal=   3.75859778,  fd=   3.75892785,  err=  -0.00033007 (at    1.58372615    0.00000000    0.51729982)
iedge=   3, ipnt=  10 (Z): anal=   3.72113176,  fd=   3.72128170,  err=  -0.00014994 (at    1.33283738    0.00000000    0.52169490)
iedge=   4, ipnt=   9 (Z): anal=   3.75859778,  fd=   3.75892785,  err=  -0.00033007 (at    5.66620905    7.07106781    0.64072577)
iedge=   4, ipnt=  10 (Z): anal=   3.72113176,  fd=   3.72128170,  err=  -0.00014994 (at    5.41532029    7.07106781    0.64512085)
iedge=   6, ipnt=  10 (Z): anal=   3.73317042,  fd=   3.73333565,  err=  -0.00016523 (at    1.39914460    0.00000000    0.07742198)
iedge=   7, ipnt=  10 (Z): anal=   3.73317042,  fd=   3.73333565,  err=  -0.00016523 (at    5.48162751    7.07106781    0.20084793)
iedge=  12, ipnt=   9 (Z): anal=   3.75859778,  fd=   3.75892785,  err=  -0.00033007 (at    5.66620905   -7.07106781    0.64072577)
iedge=  12, ipnt=  10 (Z): anal=   3.72113176,  fd=   3.72128170,  err=  -0.00014994 (at    5.41532029   -7.07106781    0.64512085)
iedge=  14, ipnt=  10 (Z): anal=   3.73317042,  fd=   3.73333565,  err=  -0.00016523 (at    5.48162751   -7.07106781    0.20084793)
    d(Edge)/d(camber_r) check complete with        9 total errors (errmax=  3.3007e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9076e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "thick_t" for ibody=8
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  5.9336e-10)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "camber_t" for ibody=8
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  5.9336e-10)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      4.933 sec

Sensitivity checks complete with     2517 tnotal errors (max config err=  7.4709e-04) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG0.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(area) check complete with        0 total errors (errmax=  8.8344e-07)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3205e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  1.3205e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  1.1946e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.4135e-06)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  1.4135e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(taper) check complete with        0 total errors (errmax=  1.4161e-06)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  1.6755e-06)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6755e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(twist) check complete with        0 total errors (errmax=  1.9118e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  2.1750e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.2869e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  1.9118e-08)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  2.1750e-08)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  3.4548e-07)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  3.9630e-07)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  8.7229e-19)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  1.1465e-06)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  1.1665e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  2.6073e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  1.9118e-08)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  2.1750e-08)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  1.9118e-08)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  2.1750e-08)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      4.698 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.6755e-06) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "area" for ibody=12
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3643e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.1185e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "aspect" for ibody=12
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1892e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0914e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.6347e-08)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "taper" for ibody=12
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6761e-06)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "twist" for ibody=12
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.8337e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.5623e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.6185e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "lesweep" for ibody=12
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.6598e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.8561e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dihedral" for ibody=12
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  9.0924e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    2.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    2.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12401 total errors (errmax=  8.8547e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012101 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at   -0.00365869    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074699 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    0.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    0.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.3189e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10509 total errors (errmax=  4.2499e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    2.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    2.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745433,  err=  -0.00779172 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    2.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    2.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12566 total errors (errmax=  9.5202e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010794,  err=  -0.00010794 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    0.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  4.9056e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12204 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    1.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.324 sec

Sensitivity checks complete with    47709 tnotal errors (max config err=  9.5202e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   3.77216660    0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   3.77206863    0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4606e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9107e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.500 sec

Sensitivity checks complete with       21 total errors (max tessel err=  2.4943e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "area" for ibody=17
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3643e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.1185e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "area" for ibody=19
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3638e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.4278e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "aspect" for ibody=17
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1892e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0914e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.6347e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "aspect" for ibody=19
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1898e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0915e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.7235e-08)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "taper" for ibody=17
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6761e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "taper" for ibody=19
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6765e-06)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "twist" for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.8337e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.5623e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.6185e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "twist" for ibody=19
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.3524e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.0239e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.0048e-09)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "lesweep" for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.6598e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.8561e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "lesweep" for ibody=19
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  3.3285e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  3.4593e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dihedral" for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  9.0924e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dihedral" for ibody=19
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.1322e-09)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    2.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    2.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12401 total errors (errmax=  8.8547e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012101 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at   -0.00365869    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074699 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    0.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    0.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.3189e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    5.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    5.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    7.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010216 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    5.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    5.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    8.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    5.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    5.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    7.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010216 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    5.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    5.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    8.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12595 total errors (errmax=  8.8558e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012100 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at    4.99634131    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074700 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    5.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    5.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.0201e-09)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10509 total errors (errmax=  4.2499e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    8.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    8.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    8.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    8.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    8.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    8.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10742 total errors (errmax=  4.2089e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    2.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    2.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745433,  err=  -0.00779172 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    2.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    2.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12566 total errors (errmax=  9.5202e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010794,  err=  -0.00010794 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    0.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  4.9056e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    7.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    5.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    7.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745434,  err=  -0.00779172 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    7.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    5.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    7.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12755 total errors (errmax=  9.5223e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010795,  err=  -0.00010795 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    5.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  3.9762e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12204 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    1.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    8.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    8.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    8.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    8.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    8.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    8.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12352 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    6.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 

*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dxwing" for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  8.9649e-10)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dxwing" for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  2.5561e-09)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  2.3148e-09)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.0280e-09)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      4.330 sec

Sensitivity checks complete with    96182 tnotal errors (max config err=  9.5223e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   8.77420487   -0.00047046    0.00461792, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    8.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   8.77417753    0.00056111    0.00462260, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    8.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   3.77216660    0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   8.77216660   -0.00000000    0.00392496, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77069973    0.00000000    0.00505943, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   3.77206863    0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   8.77206863   -0.00000000    0.00370284, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77011280    0.00000000    0.00521547, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4606e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4653e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9107e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9204e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "dxwing"
*********************************************************

Generating perturbed configuration with delta-dxwing[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  3.2330e-15)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  1.2562e-15)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  5.4026e-15)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  3.6621e-15)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.7764e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      5.021 sec

Sensitivity checks complete with       42 total errors (max tessel err=  2.4943e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "area" for ibody=12
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3643e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.1185e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "aspect" for ibody=12
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1892e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0914e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.6347e-08)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "taper" for ibody=12
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6761e-06)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "twist" for ibody=12
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.8337e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.5623e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.6185e-10)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "lesweep" for ibody=12
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.6598e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.8561e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dihedral" for ibody=12
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  9.0924e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    2.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    2.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12401 total errors (errmax=  8.8547e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012101 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at   -0.00365869    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074699 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    0.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    0.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.3189e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10509 total errors (errmax=  4.2499e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    2.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    2.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745433,  err=  -0.00779172 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    2.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    2.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12566 total errors (errmax=  9.5202e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010794,  err=  -0.00010794 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    0.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  4.9056e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12204 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    1.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      2.171 sec

Sensitivity checks complete with    47709 tnotal errors (max config err=  9.5202e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   3.77216660    0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   3.77206863    0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4606e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9107e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      2.308 sec

Sensitivity checks complete with       21 total errors (max tessel err=  2.4943e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "area" for ibody=17
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3643e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.1185e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "area" for ibody=19
    d(Face)/d(area) check complete with        0 total errors (errmax=  1.0237e-06)
    d(Edge)/d(area) check complete with        0 total errors (errmax=  1.3638e-06)
    d(Node)/d(area) check complete with        0 total errors (errmax=  2.4278e-09)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "aspect" for ibody=17
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1892e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0914e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.6347e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "aspect" for ibody=19
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  8.1898e-06)
    d(Edge)/d(aspect) check complete with        0 total errors (errmax=  1.0915e-05)
    d(Node)/d(aspect) check complete with        0 total errors (errmax=  5.7235e-08)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "taper" for ibody=17
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6761e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "taper" for ibody=19
    d(Face)/d(taper) check complete with        0 total errors (errmax=  5.4594e-05)
    d(Edge)/d(taper) check complete with        0 total errors (errmax=  7.2762e-05)
    d(Node)/d(taper) check complete with        0 total errors (errmax=  1.6765e-06)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "twist" for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  3.8337e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  8.5623e-09)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  3.6185e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "twist" for ibody=19
    d(Face)/d(twist) check complete with        0 total errors (errmax=  4.3524e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  1.0239e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  1.0048e-09)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "lesweep" for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  2.6598e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  2.8561e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "lesweep" for ibody=19
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  3.3285e-09)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  3.4593e-09)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  2.4940e-09)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dihedral" for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  9.0924e-10)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dihedral" for ibody=19
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.1322e-09)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  1.1481e-10)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  5.9758e-11)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    2.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    0.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    2.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010215 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    0.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12401 total errors (errmax=  8.8547e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012101 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at   -0.00365869    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074699 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    0.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    0.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.3189e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface=   1, ipnt=  10 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  17 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    5.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  17 (Y): anal=   0.13541406,  fd=   0.13552514,  err=  -0.00011107 (at    5.00651844    0.00000000    0.06077083)
iface=   1, ipnt=  18 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  18 (Y): anal=   0.05330872,  fd=   0.05318674,  err=   0.00012197 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=   0.01564402,  fd=   0.01610286,  err=  -0.00045884 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.16691543,  fd=   0.16575988,  err=   0.00115555 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.01525889,  fd=   0.01515326,  err=   0.00010564 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   1.42152051,  fd=   1.41167936,  err=   0.00984116 (at    7.31787598    1.07723299    0.43050798)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=   0.01247794,  fd=   0.01283844,  err=  -0.00036050 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010216 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   3 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    5.04320848   -0.00000000   -0.03874123)
iface=   2, ipnt=   4 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    5.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (Z): anal=  -0.96069998,  fd=  -0.96315968,  err=   0.00245969 (at    8.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   1.85629021,  fd=   1.85640790,  err=  -0.00011769 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  49 (X): anal=  -0.23673423,  fd=  -0.23692841,  err=   0.00019418 (at    5.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  49 (Y): anal=  -0.13541406,  fd=  -0.13552514,  err=   0.00011107 (at    5.00651844    0.00000000    0.06077083)
iface=   5, ipnt=  50 (X): anal=  -0.09247516,  fd=  -0.09226358,  err=  -0.00021159 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  50 (Y): anal=  -0.05330872,  fd=  -0.05318674,  err=  -0.00012197 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=  -0.02698677,  fd=  -0.02777830,  err=   0.00079153 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=  -0.01564402,  fd=  -0.01610286,  err=   0.00045884 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.16715687,  fd=   0.16586962,  err=   0.00128724 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.01344675,  fd=  -0.01334320,  err=  -0.00010355 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   1.39468085,  fd=   1.38394067,  err=   0.01074018 (at    7.36750357   -1.18771842    0.42349472)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02116166,  fd=  -0.02177304,  err=   0.00061138 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=  -0.01247794,  fd=  -0.01283844,  err=   0.00036050 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=  -0.01594107,  fd=  -0.01640162,  err=   0.00046055 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (Z): anal=  -0.07467573,  fd=  -0.07457357,  err=  -0.00010216 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 131 (Z): anal=  -0.27079992,  fd=  -0.27090050,  err=   0.00010058 (at    5.04320848   -0.00000000   -0.03874123)
iface=   6, ipnt= 132 (Z): anal=  -0.61948638,  fd=  -0.61932210,  err=  -0.00016428 (at    5.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 192 (Z): anal=  -1.36718651,  fd=  -1.36845326,  err=   0.00126674 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Z): anal=  -1.19342818,  fd=  -1.19530370,  err=   0.00187551 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (Z): anal=  -1.03840683,  fd=  -1.04070424,  err=   0.00229741 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (Z): anal=  -0.98661639,  fd=  -0.98902588,  err=   0.00240949 (at    8.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(thick_r) check complete with    12595 total errors (errmax=  8.8558e-02)
iedge=   2, ipnt=  10 (Z): anal=   1.86448478,  fd=   1.86460299,  err=  -0.00011821 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=  -0.29903029,  fd=  -0.29927556,  err=   0.00024528 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  17 (Z): anal=   0.14752408,  fd=   0.14764509,  err=  -0.00012100 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=  -0.12260803,  fd=  -0.12232750,  err=  -0.00028053 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.03596726,  fd=  -0.03702219,  err=   0.00105493 (at    4.99634131    0.00000000    0.01526638)
iedge=   2, ipnt=  19 (Z): anal=  -0.00356489,  fd=  -0.00366945,  err=   0.00010456 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=  -0.02585562,  fd=  -0.02660262,  err=   0.00074700 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=  -0.01947703,  fd=  -0.02003974,  err=   0.00056271 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (Z): anal=  -0.08572519,  fd=  -0.08560792,  err=  -0.00011727 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   3 (Z): anal=  -0.28611168,  fd=  -0.28621794,  err=   0.00010627 (at    5.04320848   -0.00000000   -0.03874123)
iedge=   5, ipnt=   4 (Z): anal=  -0.62459307,  fd=  -0.62442743,  err=  -0.00016563 (at    5.10074139   -0.00000000   -0.05298982)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  1.0549e-03)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.0201e-09)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    3.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10509 total errors (errmax=  4.2499e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface=   1, ipnt=  10 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt= 192 (X): anal=   0.36365423,  fd=   0.36271252,  err=   0.00094171 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   3.09702907,  fd=   3.08900911,  err=   0.00801996 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.36419024,  fd=   0.36252210,  err=   0.00166814 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   2.71617814,  fd=   2.70373696,  err=   0.01244118 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.35849171,  fd=   0.35613900,  err=   0.00235270 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   2.37905062,  fd=   2.36343743,  err=   0.01561319 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    8.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.01657052,  fd=  -0.01644783,  err=  -0.00012268 (at    8.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=  10 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.16093885,  fd=   0.16110121,  err=  -0.00016236 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=   0.12605835,  fd=   0.12627357,  err=  -0.00021521 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.09722037,  fd=   0.09745394,  err=  -0.00023357 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    8.01718216    2.65165043   -0.04519293)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   3.70493043,  fd=   3.70503877,  err=  -0.00010833 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.08761895,  fd=  -0.08772688,  err=   0.00010793 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt= 192 (X): anal=   0.36416989,  fd=   0.36312095,  err=   0.00104894 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   3.03846788,  fd=   3.02971601,  err=   0.00875188 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.36407065,  fd=   0.36237335,  err=   0.00169729 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   2.70152238,  fd=   2.68892792,  err=   0.01259446 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.35809619,  fd=   0.35571331,  err=   0.00238288 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   2.36439355,  fd=   2.34866019,  err=   0.01573336 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.35445343,  fd=   0.35182918,  err=   0.00262425 (at    8.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.01657052,  fd=   0.01644783,  err=   0.00012268 (at    8.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.04390199,  fd=   0.04375801,  err=   0.00014398 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.03307135,  fd=   0.03296289,  err=   0.00010846 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 138 (Z): anal=   3.71468086,  fd=   3.71440703,  err=   0.00027383 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.16093885,  fd=  -0.16110121,  err=   0.00016236 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   3.01887579,  fd=   3.02192127,  err=  -0.00304548 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=  -0.12605835,  fd=  -0.12627357,  err=   0.00021521 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   2.63274454,  fd=   2.63723926,  err=  -0.00449472 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.05277271,  fd=   0.05289950,  err=  -0.00012679 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.09722037,  fd=  -0.09745394,  err=   0.00023357 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   2.28863806,  fd=   2.29413656,  err=  -0.00549849 (at    8.01718216   -2.65165043   -0.04519293)
...too many errors to list
    d(Face)/d(camber_r) check complete with    10742 total errors (errmax=  4.2089e-02)
iedge=   2, ipnt=  10 (Z): anal=   3.72128581,  fd=   3.72139462,  err=  -0.00010881 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  18 (X): anal=  -0.11616943,  fd=  -0.11631253,  err=   0.00014310 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=  -0.06285106,  fd=  -0.06273477,  err=  -0.00011629 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.05364008,  fd=   0.05346416,  err=   0.00017592 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.04040705,  fd=   0.04027453,  err=   0.00013252 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=  10 (Z): anal=   3.73338864,  fd=   3.73311343,  err=   0.00027521 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_r) check complete with        6 total errors (errmax=  2.7521e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    2.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    2.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at   -0.00329159    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at   -0.00365869    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745433,  err=  -0.00779172 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    2.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    0.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    0.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    0.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    2.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12566 total errors (errmax=  9.5202e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    1.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010794,  err=  -0.00010794 (at    0.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at   -0.00329159    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at   -0.00365869    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    0.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    0.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    0.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  4.9056e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at    4.99670841    0.00000000    0.03099117)
iface=   1, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt=  19 (Y): anal=  -0.00000000,  fd=  -0.00021311,  err=   0.00021311 (at    4.99634131    0.00000000    0.01526638)
iface=   1, ipnt= 192 (X): anal=   0.01487247,  fd=   0.01571072,  err=  -0.00083825 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.12666003,  fd=   0.13379895,  err=  -0.00713892 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.02831311,  fd=   0.02979905,  err=  -0.00148594 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.21116282,  fd=   0.22224517,  err=  -0.01108234 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.04306335,  fd=   0.04515968,  err=  -0.00209633 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.28578037,  fd=   0.29969218,  err=  -0.01391181 (at    7.92581399    2.43067956    0.34459551)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Y): anal=  -0.00000000,  fd=  -0.00014889,  err=   0.00014889 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    5.00734803   -0.00000000   -0.01292202)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    5.01761478   -0.00000000   -0.02371210)
iface=   2, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    5.10074139   -0.00000000   -0.05298982)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=  -0.00763258,  fd=  -0.00733421,  err=  -0.00029837 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (Y): anal=  -0.01101018,  fd=  -0.01061401,  err=  -0.00039617 (at    7.73137253    1.98873782   -0.01044233)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00010999,  err=   0.00010999 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=   0.00017108,  err=  -0.00017108 (at    4.99670841    0.00000000    0.03099117)
iface=   5, ipnt=  51 (X): anal=   0.00000000,  fd=   0.00036762,  err=  -0.00036762 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt=  51 (Y): anal=   0.00000000,  fd=   0.00021311,  err=  -0.00021311 (at    4.99634131    0.00000000    0.01526638)
iface=   5, ipnt= 192 (X): anal=   0.01673900,  fd=   0.01767286,  err=  -0.00093386 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.13966262,  fd=   0.14745434,  err=  -0.00779172 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.02889511,  fd=   0.03040705,  err=  -0.00151194 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.21441109,  fd=   0.22563015,  err=  -0.01121907 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.04377295,  fd=   0.04589618,  err=  -0.00212323 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.28901863,  fd=   0.30303764,  err=  -0.01401901 (at    7.93822089   -2.45830092    0.34284220)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00025251,  err=  -0.00025251 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Y): anal=   0.00000000,  fd=   0.00014889,  err=  -0.00014889 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 129 (Z): anal=   0.00000000,  fd=   0.00019022,  err=  -0.00019022 (at    5.00734803   -0.00000000   -0.01292202)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=   0.00011628,  err=  -0.00011628 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=   0.00013787,  err=  -0.00013787 (at    5.01761478   -0.00000000   -0.02371210)
iface=   6, ipnt= 132 (Z): anal=   0.00000000,  fd=  -0.00011557,  err=   0.00011557 (at    5.10074139   -0.00000000   -0.05298982)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00014130,  err=   0.00014130 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=   0.00763258,  fd=   0.00733421,  err=   0.00029837 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=  -0.14317120,  fd=  -0.13757440,  err=  -0.00559679 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (Y): anal=   0.01101018,  fd=   0.01061401,  err=   0.00039617 (at    7.73137253   -1.98873782   -0.01044233)
...too many errors to list
    d(Face)/d(thick_t) check complete with    12755 total errors (errmax=  9.5223e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011047,  err=   0.00011047 (at    6.33283737    0.00000000    0.52169448)
iedge=   2, ipnt=  17 (X): anal=   0.00000000,  fd=   0.00010795,  err=  -0.00010795 (at    5.00651844    0.00000000    0.06077083)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=   0.00022683,  err=  -0.00022683 (at    4.99670841    0.00000000    0.03099117)
iedge=   2, ipnt=  19 (X): anal=   0.00000000,  fd=   0.00048995,  err=  -0.00048995 (at    4.99634131    0.00000000    0.01526638)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00030852,  err=  -0.00030852 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00023241,  err=  -0.00023241 (at    5.00734803   -0.00000000   -0.01292202)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00013349,  err=  -0.00013349 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00015827,  err=  -0.00015827 (at    5.01761478   -0.00000000   -0.02371210)
iedge=   5, ipnt=   4 (Z): anal=   0.00000000,  fd=  -0.00011653,  err=   0.00011653 (at    5.10074139   -0.00000000   -0.05298982)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00014201,  err=   0.00014201 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(thick_t) check complete with       10 total errors (errmax=  4.8995e-04)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  3.9762e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    2.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    2.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    2.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    3.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    3.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    1.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    2.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    2.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    2.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    3.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    3.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    1.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    2.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    2.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    3.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    3.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12204 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    1.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    1.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface=   1, ipnt=  10 (Z): anal=  -0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    6.33283737    0.00000000    0.52169448)
iface=   1, ipnt= 192 (X): anal=   0.03226961,  fd=   0.03354684,  err=  -0.00127724 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Y): anal=   0.00294999,  fd=   0.00306675,  err=  -0.00011676 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 192 (Z): anal=   0.27482124,  fd=   0.28569871,  err=  -0.01087747 (at    7.31787598    1.07723299    0.43050798)
iface=   1, ipnt= 193 (X): anal=   0.06147744,  fd=   0.06374156,  err=  -0.00226412 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 193 (Z): anal=   0.45850673,  fd=   0.47539283,  err=  -0.01688611 (at    7.64045533    1.79538831    0.38492177)
iface=   1, ipnt= 194 (X): anal=   0.09357280,  fd=   0.09676695,  err=  -0.00319416 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 194 (Z): anal=   0.62097510,  fd=   0.64217241,  err=  -0.02119732 (at    7.92581399    2.43067956    0.34459551)
iface=   1, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    8.03747607    2.67927179    0.32881567)
iface=   1, ipnt= 195 (Y): anal=  -0.00504718,  fd=  -0.00521375,  err=   0.00016657 (at    8.03747607    2.67927179    0.32881567)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    6.39914526    0.00000000    0.07740409)
iface=   2, ipnt= 192 (Y): anal=   0.01686231,  fd=   0.01640751,  err=   0.00045481 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    7.40983670    1.24296114    0.02865210)
iface=   2, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Y): anal=   0.02431022,  fd=   0.02370633,  err=   0.00060389 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    7.73137253    1.98873782   -0.01044233)
iface=   2, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Y): anal=   0.02883878,  fd=   0.02818288,  err=   0.00065590 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    8.01718216    2.65165043   -0.04519293)
iface=   2, ipnt= 195 (X): anal=   0.02284039,  fd=   0.02234678,  err=   0.00049360 (at    8.16008698    2.98310673   -0.06256823)
...too many errors to list
iface=   5, ipnt=  42 (Z): anal=   0.00000000,  fd=  -0.00011242,  err=   0.00011242 (at    6.33283737    0.00000000    0.52169448)
iface=   5, ipnt= 192 (X): anal=   0.03632343,  fd=   0.03774634,  err=  -0.00142291 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Y): anal=  -0.00292200,  fd=  -0.00303646,  err=   0.00011446 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 192 (Z): anal=   0.30306615,  fd=   0.31493830,  err=  -0.01187215 (at    7.36750357   -1.18771842    0.42349472)
iface=   5, ipnt= 193 (X): anal=   0.06274304,  fd=   0.06504677,  err=  -0.00230373 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 193 (Z): anal=   0.46557371,  fd=   0.48266814,  err=  -0.01709443 (at    7.65286223   -1.82300967    0.38316846)
iface=   5, ipnt= 194 (X): anal=   0.09511784,  fd=   0.09835299,  err=  -0.00323515 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 194 (Z): anal=   0.62803238,  fd=   0.64939303,  err=  -0.02136065 (at    7.93822089   -2.45830092    0.34284220)
iface=   5, ipnt= 195 (X): anal=   0.10796229,  fd=   0.11152537,  err=  -0.00356308 (at    8.03747607   -2.67927179    0.32881567)
iface=   5, ipnt= 195 (Y): anal=   0.00504718,  fd=   0.00521375,  err=  -0.00016657 (at    8.03747607   -2.67927179    0.32881567)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00017078,  err=  -0.00017078 (at    6.39914526    0.00000000    0.07740409)
iface=   6, ipnt= 192 (Y): anal=  -0.01686231,  fd=  -0.01640751,  err=  -0.00045481 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 192 (Z): anal=   0.31630169,  fd=   0.30777048,  err=   0.00853121 (at    7.40983670   -1.24296114    0.02865210)
iface=   6, ipnt= 193 (X): anal=   0.00534655,  fd=   0.00521373,  err=   0.00013281 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Y): anal=  -0.02431022,  fd=  -0.02370633,  err=  -0.00060389 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 193 (Z): anal=   0.50772194,  fd=   0.49510957,  err=   0.01261236 (at    7.73137253   -1.98873782   -0.01044233)
iface=   6, ipnt= 194 (X): anal=   0.01565413,  fd=   0.01529810,  err=   0.00035603 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Y): anal=  -0.02883878,  fd=  -0.02818288,  err=  -0.00065590 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 194 (Z): anal=   0.67888578,  fd=   0.66344536,  err=   0.01544043 (at    8.01718216   -2.65165043   -0.04519293)
iface=   6, ipnt= 195 (X): anal=   0.02028259,  fd=   0.01983647,  err=   0.00044612 (at    8.11245204   -2.87262130   -0.05677647)
...too many errors to list
    d(Face)/d(camber_t) check complete with    12352 total errors (errmax=  2.9509e-02)
iedge=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011291,  err=   0.00011291 (at    6.33283737    0.00000000    0.52169448)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00017164,  err=  -0.00017164 (at    6.39914526    0.00000000    0.07740409)
    d(Edge)/d(camber_t) check complete with        2 total errors (errmax=  1.7164e-04)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 

*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dxwing" for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  8.9649e-10)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dxwing" for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  2.5561e-09)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  2.3148e-09)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.0280e-09)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      4.343 sec

Sensitivity checks complete with    96182 tnotal errors (max config err=  9.5223e-02) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77275430    0.00000002    0.00525749, dist=   0.00072623 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77278144    0.00000000    0.00524617, dist=   0.00072683 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with        4 total errors (errmax=  1.8071e-03)
iedge=   1, ipnt=   0: anal=   8.77420487   -0.00047046    0.00461792, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    8.77246052    0.00000000    0.00459131)
iedge=  10, ipnt=   0: anal=   8.77417753    0.00056111    0.00462260, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        2 total errors (errmax=  5.8665e-04)
inode=   1:            anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    8.77434628    0.00000000    0.00459361)
    d(Node)/d(area) check complete with        1 total errors (errmax=  1.8715e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   3.77216660    0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77060545   -0.00009856    0.00458393, dist=   0.00184080 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with        4 total errors (errmax=  1.8705e-03)
iedge=   2, ipnt=   0: anal=   8.77216660   -0.00000000    0.00392496, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77069973    0.00000000    0.00505943, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(aspect) check complete with        2 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77057570    0.00000000    0.00458902)
    d(Node)/d(aspect) check complete with        1 total errors (errmax=  1.8705e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   3.77206863    0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    8.77246052    0.00000000    0.00459131)
iface=   5, ipnt=  32: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76998692   -0.00013134    0.00458146, dist=   0.00245457 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        4 total errors (errmax=  2.4943e-03)
iedge=   2, ipnt=   0: anal=   8.77206863   -0.00000000    0.00370284, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77011280    0.00000000    0.00521547, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.76994722    0.00000000    0.00458826)
    d(Node)/d(taper) check complete with        1 total errors (errmax=  2.4943e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
    d(Node)/d(twist) check complete with        0 total errors (errmax=  6.4619e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  1.4295e-06)
    d(Edge)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
    d(Node)/d(lesweep) check complete with        0 total errors (errmax=  1.4932e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Edge)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
    d(Node)/d(dihedral) check complete with        0 total errors (errmax=  3.7622e-11)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4606e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4653e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3114e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9107e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9204e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  4.9247e-07)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.9973e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0050e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "dxwing"
*********************************************************

Generating perturbed configuration with delta-dxwing[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  3.2330e-15)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  1.2562e-15)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  5.4026e-15)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  3.6621e-15)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.7764e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      4.713 sec

Sensitivity checks complete with       42 total errors (max tessel err=  2.4943e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "area" for ibody=12
    d(Face)/d(area) check complete with        0 total errors (errmax=  6.7855e-07)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.01300070,  err=   0.01300070 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00705266,  err=   0.00705266 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01125661,  err=  -0.01125661 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471634,  err=  -0.07471634 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848296,  err=  -0.08848296 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580092,  err=  -0.05580092 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.07012462,  err=  -0.07012462 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.04152361,  err=  -0.04152361 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.01300070,  err=  -0.01300070 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00705266,  err=  -0.00705266 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01125661,  err=   0.01125661 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471634,  err=  -0.07471634 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.08848296,  err=   0.08848296 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580093,  err=  -0.05580093 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.07012462,  err=   0.07012462 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.04152361,  err=   0.04152361 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(area) check complete with       72 total errors (errmax=  8.8483e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07382668,  err=  -0.07382668 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848301,  err=  -0.08848301 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00456248,  err=   0.00456248 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(area) check complete with        3 total errors (errmax=  8.8483e-02)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "aspect" for ibody=12
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  5.4285e-06)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00107660,  err=  -0.00107660 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.04523992,  err=  -0.04523992 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.17552412,  err=  -0.17552412 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623881,  err=  -0.70623881 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.57359990,  err=  -0.57359990 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.37268682,  err=  -0.37268682 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00107660,  err=   0.00107660 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.04523992,  err=   0.04523992 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.17552412,  err=   0.17552412 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70623881,  err=   0.70623881 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.57359990,  err=   0.57359990 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.37268682,  err=   0.37268682 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(aspect) check complete with       72 total errors (errmax=  7.0624e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.22626758,  err=  -0.22626758 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623919,  err=  -0.70623919 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.06129524,  err=  -0.06129524 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(aspect) check complete with        3 total errors (errmax=  7.0624e-01)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "taper" for ibody=12
    d(Face)/d(taper) check complete with        0 total errors (errmax=  3.6189e-05)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70054760,  err=   0.70054760 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.67844399,  err=   0.67844399 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.57082126,  err=   0.57082126 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.08684542,  err=   0.08684542 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.27290073,  err=   0.27290073 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70054760,  err=  -0.70054760 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.67844399,  err=  -0.67844399 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.57082126,  err=  -0.57082126 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00860467,  err=   0.00860467 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.08684542,  err=  -0.08684542 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.27290073,  err=  -0.27290073 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(taper) check complete with       72 total errors (errmax=  2.4737e+00)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43637665,  err=  -2.43637665 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65185199,  err=   0.65185199 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(taper) check complete with        3 total errors (errmax=  2.4364e+00)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "twist" for ibody=12
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.2742e-08)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00082759,  err=  -0.00082759 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981341,  err=   0.00981341 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00551389,  err=   0.00551389 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01219092,  err=   0.01219092 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01074022,  err=  -0.01074022 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01541648,  err=  -0.01541648 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.01300793,  err=  -0.01300793 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at    5.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00082759,  err=   0.00082759 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981341,  err=   0.00981341 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00551389,  err=  -0.00551389 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01219092,  err=  -0.01219092 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01074022,  err=   0.01074022 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01541648,  err=   0.01541648 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.01300793,  err=   0.01300793 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at    5.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(twist) check complete with       60 total errors (errmax=  3.1850e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00852665,  err=   0.00852665 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03182295,  err=   0.03182295 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(twist) check complete with        2 total errors (errmax=  3.1823e-02)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "lesweep" for ibody=12
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  4.3262e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.04537574,  err=   0.04537574 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03582339,  err=   0.03582339 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02047863,  err=   0.02047863 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01988661,  err=   0.01988661 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.03754600,  err=   0.03754600 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216685,  err=  -0.14216685 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.05152749,  err=   0.05152749 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.04537574,  err=  -0.04537574 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03582339,  err=  -0.03582339 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02047863,  err=  -0.02047863 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01988661,  err=  -0.01988661 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.03754600,  err=  -0.03754600 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216685,  err=  -0.14216685 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.05152749,  err=  -0.05152749 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(lesweep) check complete with       68 total errors (errmax=  1.6466e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.16471280,  err=  -0.16471280 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(lesweep) check complete with        1 total errors (errmax=  1.6471e-01)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "dihedral" for ibody=12
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7598e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00583289,  err=  -0.00583289 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.02854738,  err=  -0.02854738 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05141646,  err=  -0.05141646 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03770969,  err=   0.03770969 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05231042,  err=   0.05231042 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.04011624,  err=   0.04011624 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00583289,  err=   0.00583289 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.02854738,  err=   0.02854738 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05141646,  err=   0.05141646 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03770969,  err=  -0.03770969 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05231042,  err=  -0.05231042 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.04011624,  err=  -0.04011624 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(dihedral) check complete with       68 total errors (errmax=  1.2315e-01)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12358291,  err=  -0.12358291 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-01)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface=   1, ipnt=  17 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Y): anal=   0.13551323,  fd=   0.13533839,  err=   0.00017484 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  18 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=   0.05370793,  fd=   0.05337266,  err=   0.00033528 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  19 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at   -0.00369714    0.00000000    0.01528693)
iface=   1, ipnt=  19 (Y): anal=   0.01556815,  fd=   0.01572943,  err=  -0.00016128 (at   -0.00369714    0.00000000    0.01528693)
iface=   1, ipnt= 204 (X): anal=   0.16684485,  fd=   0.16569177,  err=   0.00115308 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.01529061,  fd=   0.01518494,  err=   0.00010567 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   1.42152544,  fd=   1.41170116,  err=   0.00982428 (at    2.31787578    1.07723299    0.43050674)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Y): anal=   0.01242582,  fd=   0.01265164,  err=  -0.00022582 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Y): anal=   0.03771462,  fd=   0.03742061,  err=   0.00029401 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   3 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    0.04320575   -0.00000000   -0.03874276)
iface=   2, ipnt=  10 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    2.73137259    1.98873782   -0.01044292)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   0.00001125,  fd=  -0.00010730,  err=   0.00011855 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00000876,  fd=  -0.00026124,  err=   0.00027001 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.00000131,  fd=  -0.00014231,  err=   0.00014363 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   0.00000441,  fd=  -0.00047742,  err=   0.00048182 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=  -0.00000055,  fd=  -0.00021317,  err=   0.00021262 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=  -0.00000197,  fd=  -0.00076733,  err=   0.00076536 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=  -0.00000266,  fd=  -0.00029296,  err=   0.00029030 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=  -0.00001037,  fd=  -0.00114318,  err=   0.00113281 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=  -0.00000482,  fd=  -0.00037730,  err=   0.00037249 (at    5.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  66 (Y): anal=  -0.00002065,  fd=  -0.00161762,  err=   0.00159698 (at    5.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  49 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Y): anal=  -0.13551323,  fd=  -0.13533839,  err=  -0.00017484 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  50 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.05370793,  fd=  -0.05337266,  err=  -0.00033528 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  51 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at   -0.00369714    0.00000000    0.01528693)
iface=   5, ipnt=  51 (Y): anal=  -0.01556815,  fd=  -0.01572943,  err=   0.00016128 (at   -0.00369714    0.00000000    0.01528693)
iface=   5, ipnt= 204 (X): anal=   0.16708829,  fd=   0.16580355,  err=   0.00128474 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.01347757,  fd=  -0.01337394,  err=  -0.00010363 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   1.39468583,  fd=   1.38396211,  err=   0.01072372 (at    2.36750338   -1.18771842    0.42349350)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Y): anal=  -0.01242582,  fd=  -0.01265164,  err=   0.00022582 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Y): anal=  -0.03771462,  fd=  -0.03742061,  err=  -0.00029401 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 131 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    0.04320575   -0.00000000   -0.03874276)
iface=   6, ipnt= 138 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    2.73137259   -1.98873782   -0.01044292)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=   0.00309417,  fd=   0.00478426,  err=  -0.00169009 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.01155912,  fd=   0.01787292,  err=  -0.00631380 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.01044277,  fd=   0.01614680,  err=  -0.00570403 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=  -0.00560747,  fd=  -0.00547046,  err=  -0.00013702 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=   0.00929008,  fd=   0.00906308,  err=   0.00022700 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=  -0.01068540,  fd=  -0.01042430,  err=  -0.00026110 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=   0.00097764,  fd=   0.00116027,  err=  -0.00018263 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.01057940,  fd=   0.01255576,  err=  -0.00197636 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.01076565,  fd=  -0.01277681,  err=   0.00201115 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.00402113,  fd=  -0.00390306,  err=  -0.00011807 (at    5.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_r) check complete with    13852 total errors (errmax=  8.8710e-02)
iedge=   2, ipnt=  17 (X): anal=  -0.29919256,  fd=  -0.29880654,  err=  -0.00038602 (at    0.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  17 (Z): anal=   0.14797341,  fd=   0.14778249,  err=   0.00019092 (at    0.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  18 (X): anal=  -0.12349369,  fd=  -0.12272277,  err=  -0.00077092 (at   -0.00327219    0.00000000    0.03098919)
iedge=   2, ipnt=  18 (Z): anal=   0.01797595,  fd=   0.01786373,  err=   0.00011222 (at   -0.00327219    0.00000000    0.03098919)
iedge=   2, ipnt=  19 (X): anal=  -0.03578710,  fd=  -0.03615783,  err=   0.00037073 (at   -0.00369714    0.00000000    0.01528693)
iedge=   5, ipnt=   1 (X): anal=  -0.02575487,  fd=  -0.02622293,  err=   0.00046806 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=  -0.01935237,  fd=  -0.01970408,  err=   0.00035171 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=  -0.07246479,  fd=  -0.07189989,  err=  -0.00056490 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=  -0.08657272,  fd=  -0.08589784,  err=  -0.00067488 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   3 (Z): anal=  -0.28614142,  fd=  -0.28600370,  err=  -0.00013772 (at    0.04320575   -0.00000000   -0.03874276)
iedge=   5, ipnt=  10 (Z): anal=  -1.85099094,  fd=  -1.85087984,  err=  -0.00011111 (at    1.39914476    0.00000000    0.07741770)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  7.7092e-04)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  2.2204e-10)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface=   1, ipnt=   9 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    1.58372538    0.00000000    0.51730414)
iface=   1, ipnt=  10 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    1.33283756    0.00000000    0.52170653)
iface=   1, ipnt=  18 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.36350251,  fd=   0.36256128,  err=   0.00094124 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   3.09705740,  fd=   3.08903803,  err=   0.00801937 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.36406652,  fd=   0.36239904,  err=   0.00166748 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   2.71620498,  fd=   2.70376435,  err=   0.01244063 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.35839151,  fd=   0.35603956,  err=   0.00235195 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   2.37907524,  fd=   2.36346254,  err=   0.01561270 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt= 202 (Y): anal=   0.16096069,  fd=   0.16112229,  err=  -0.00016160 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=   0.12607596,  fd=   0.12629058,  err=  -0.00021462 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.09723440,  fd=   0.09746753,  err=  -0.00023313 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    3.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Y): anal=   0.08814185,  fd=   0.08837517,  err=  -0.00023332 (at    3.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    3.11245209    2.87262130   -0.05677696)
...too many errors to list
iface=   4, ipnt=  57 (Y): anal=   0.00125547,  fd=   0.00112701,  err=   0.00012846 (at    5.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  61 (Y): anal=   0.00199639,  fd=   0.00212393,  err=  -0.00012755 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00196486,  fd=   0.00215256,  err=  -0.00018770 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (Y): anal=   0.00181868,  fd=   0.00202896,  err=  -0.00021028 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (Y): anal=   0.00154565,  fd=   0.00171819,  err=  -0.00017254 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  66 (Y): anal=   0.00057529,  fd=   0.00039238,  err=   0.00018290 (at    5.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  67 (X): anal=  -0.00002910,  fd=  -0.00014406,  err=   0.00011497 (at    5.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  67 (Y): anal=  -0.00013953,  fd=  -0.00069085,  err=   0.00055132 (at    5.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  68 (X): anal=  -0.00018432,  fd=  -0.00038065,  err=   0.00019633 (at    5.10251863    7.38039246   -0.13133143)
iface=   4, ipnt=  68 (Y): anal=  -0.00101325,  fd=  -0.00209254,  err=   0.00107928 (at    5.10251863    7.38039246   -0.13133143)
...too many errors to list
iface=   5, ipnt=  41 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    1.58372538    0.00000000    0.51730414)
iface=   5, ipnt=  42 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    1.33283756    0.00000000    0.52170653)
iface=   5, ipnt=  50 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.36402257,  fd=   0.36297413,  err=   0.00104844 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   3.03849605,  fd=   3.02974476,  err=   0.00875129 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.36394798,  fd=   0.36225135,  err=   0.00169663 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   2.70154914,  fd=   2.68895523,  err=   0.01259392 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.35799698,  fd=   0.35561486,  err=   0.00238212 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   2.36441805,  fd=   2.34868517,  err=   0.01573287 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 202 (Y): anal=  -0.16096069,  fd=  -0.16112229,  err=   0.00016160 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=  -0.12607596,  fd=  -0.12629058,  err=   0.00021462 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.09723440,  fd=  -0.09746753,  err=   0.00023313 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    3.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Y): anal=  -0.08814185,  fd=  -0.08837517,  err=   0.00023332 (at    3.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    3.11245209   -2.87262130   -0.05677696)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.01886168,  fd=  -0.01765926,  err=  -0.00120243 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.07046295,  fd=  -0.06597095,  err=  -0.00449200 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.06365780,  fd=  -0.05959963,  err=  -0.00405817 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  58 (X): anal=   0.00383387,  fd=   0.00395198,  err=  -0.00011811 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.04148788,  fd=   0.04276596,  err=  -0.00127808 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.04221828,  fd=  -0.04351886,  err=   0.00130058 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.02770532,  fd=  -0.02789264,  err=   0.00018733 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Y): anal=   0.03792089,  fd=   0.03817728,  err=  -0.00025640 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Z): anal=  -0.04384398,  fd=  -0.04414042,  err=   0.00029644 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=  -0.01515306,  fd=  -0.01533934,  err=   0.00018628 (at    5.60742001   -7.19478312   -0.32026072)
...too many errors to list
    d(Face)/d(camber_r) check complete with    12086 total errors (errmax=  4.2779e-02)
iedge=   2, ipnt=   9 (Z): anal=   3.75909378,  fd=   3.75892497,  err=   0.00016881 (at    1.58372538    0.00000000    0.51730414)
iedge=   2, ipnt=  10 (Z): anal=   3.72128671,  fd=   3.72149822,  err=  -0.00021151 (at    1.33283756    0.00000000    0.52170653)
iedge=   2, ipnt=  18 (X): anal=  -0.11594716,  fd=  -0.11608667,  err=   0.00013951 (at   -0.00327219    0.00000000    0.03098919)
    d(Edge)/d(camber_r) check complete with        3 total errors (errmax=  2.1151e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=  -0.00000000,  fd=   0.00011712,  err=  -0.00011712 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.01486610,  fd=   0.01570256,  err=  -0.00083646 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.12665979,  fd=   0.13378649,  err=  -0.00712671 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.02830321,  fd=   0.02978733,  err=  -0.00148412 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.21116283,  fd=   0.22223548,  err=  -0.01107265 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.04305094,  fd=   0.04514552,  err=  -0.00209458 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.28578086,  fd=   0.29968508,  err=  -0.01390422 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00231616,  fd=  -0.00242515,  err=   0.00010899 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Y): anal=  -0.00763357,  fd=  -0.00733543,  err=  -0.00029814 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=  -0.01101165,  fd=  -0.01061562,  err=  -0.00039603 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=  -0.01307046,  fd=  -0.01264027,  err=  -0.00043020 (at    3.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   1.05224118,  fd=   1.05239112,  err=  -0.00014994 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (X): anal=   0.36494976,  fd=   0.36505341,  err=  -0.00010366 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  62 (Y): anal=   1.15004101,  fd=   1.15036766,  err=  -0.00032665 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.37067146,  fd=   0.37084358,  err=  -0.00017212 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   1.24349105,  fd=   1.24406846,  err=  -0.00057741 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=   0.37002996,  fd=   0.37028490,  err=  -0.00025494 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=   1.33197344,  fd=   1.33289113,  err=  -0.00091769 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=   0.36253950,  fd=   0.36288913,  err=  -0.00034963 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=   1.41470997,  fd=   1.41607432,  err=  -0.00136435 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=   0.34770585,  fd=   0.34815724,  err=  -0.00045139 (at    5.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.00000000,  fd=  -0.00011712,  err=   0.00011712 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.01673205,  fd=   0.01766411,  err=  -0.00093206 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.13966239,  fd=   0.14744229,  err=  -0.00777990 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.02888509,  fd=   0.03039521,  err=  -0.00151012 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.21441111,  fd=   0.22562057,  err=  -0.01120947 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.04376044,  fd=   0.04588193,  err=  -0.00212148 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.28901915,  fd=   0.30303065,  err=  -0.01401150 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00231616,  fd=   0.00242515,  err=  -0.00010899 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Y): anal=   0.00763357,  fd=   0.00733543,  err=   0.00029814 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=   0.01101165,  fd=   0.01061562,  err=   0.00039603 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=   0.01307046,  fd=   0.01264027,  err=   0.00043020 (at    3.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.25425628,  fd=  -0.25667724,  err=   0.00242096 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.94984346,  fd=  -0.95888760,  err=   0.00904414 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.85810972,  fd=  -0.86628040,  err=   0.00817067 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=   0.47070529,  fd=   0.47045554,  err=   0.00024976 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=  -0.77983252,  fd=  -0.77941875,  err=  -0.00041378 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=   0.89695901,  fd=   0.89648308,  err=   0.00047592 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=  -0.07073043,  fd=  -0.07095961,  err=   0.00022919 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=  -0.76540249,  fd=  -0.76788261,  err=   0.00248012 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=   0.77887748,  fd=   0.78140126,  err=  -0.00252378 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=   0.42507559,  fd=   0.42485799,  err=   0.00021760 (at    5.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_t) check complete with    14117 total errors (errmax=  9.5130e-02)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00026931,  err=   0.00026931 (at   -0.00327219    0.00000000    0.03098919)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00014982,  err=  -0.00014982 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00011258,  err=  -0.00011258 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00016347,  err=   0.00016347 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00019530,  err=   0.00019530 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011773,  err=   0.00011773 (at    1.39914476    0.00000000    0.07741770)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00050946,  err=   0.00050946 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00357871,  err=  -0.00357871 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01035683,  err=  -0.01035683 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786516,  err=  -0.03786516 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03307516,  err=  -0.03307516 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181837,  err=  -0.00181837 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02420725,  err=  -0.02420725 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00050946,  err=  -0.00050946 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00357871,  err=   0.00357871 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01035683,  err=   0.01035683 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.03786516,  err=   0.03786516 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03307516,  err=   0.03307516 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181837,  err=  -0.00181837 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02420725,  err=   0.02420725 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(thick_t) check complete with       78 total errors (errmax=  3.7865e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01142003,  err=  -0.01142003 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786517,  err=  -0.03786517 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00195245,  err=   0.00195245 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(thick_t) check complete with        3 total errors (errmax=  3.7865e-02)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface=   1, ipnt= 204 (X): anal=   0.03225597,  fd=   0.03352970,  err=  -0.00127372 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.00295612,  fd=   0.00307285,  err=  -0.00011673 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.27482232,  fd=   0.28567449,  err=  -0.01085216 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.06145628,  fd=   0.06371635,  err=  -0.00226007 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.45850922,  fd=   0.47537104,  err=  -0.01686182 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.09354630,  fd=   0.09673601,  err=  -0.00318971 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.62097923,  fd=   0.64215319,  err=  -0.02117396 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00503435,  fd=  -0.00520033,  err=   0.00016598 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt=  64 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    4.80133583    7.07106781   -0.25534446)
iface=   2, ipnt=  65 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    4.68081664    7.07106781   -0.23008922)
iface=   2, ipnt= 202 (Y): anal=   0.01686420,  fd=   0.01641001,  err=   0.00045419 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Y): anal=   0.02431306,  fd=   0.02370982,  err=   0.00060323 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.02884231,  fd=   0.02818707,  err=   0.00065524 (at    3.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  46 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    4.80133583    7.07106781   -0.25534446)
iface=   4, ipnt=  47 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    4.68081664    7.07106781   -0.23008922)
iface=   4, ipnt=  70 (Y): anal=   0.00190262,  fd=   0.00170683,  err=   0.00019579 (at    4.99739948    7.39765065   -0.09938872)
iface=   4, ipnt=  81 (X): anal=   0.29219874,  fd=   0.29200363,  err=   0.00019511 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Y): anal=   0.37982515,  fd=   0.37957153,  err=   0.00025362 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Z): anal=   1.45025063,  fd=   1.44928227,  err=   0.00096837 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  82 (X): anal=   0.27424294,  fd=   0.27494955,  err=  -0.00070660 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Y): anal=  -0.89427241,  fd=  -0.89657655,  err=   0.00230415 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Z): anal=   0.76905937,  fd=   0.77104089,  err=  -0.00198153 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  83 (X): anal=   0.28665441,  fd=   0.28619219,  err=   0.00046222 (at    4.19267923    7.16480531    0.01232203)
...too many errors to list
iface=   5, ipnt= 204 (X): anal=   0.03630855,  fd=   0.03772786,  err=  -0.00141931 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.00292870,  fd=  -0.00304318,  err=   0.00011448 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.30306741,  fd=   0.31491441,  err=  -0.01184700 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.06272162,  fd=   0.06502129,  err=  -0.00229967 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.46557626,  fd=   0.48264644,  err=  -0.01707018 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.09509114,  fd=   0.09832183,  err=  -0.00323069 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.62803659,  fd=   0.64937393,  err=  -0.02133734 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00503435,  fd=   0.00520033,  err=  -0.00016598 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 192 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    4.80133583   -7.07106781   -0.25534446)
iface=   6, ipnt= 193 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    4.68081664   -7.07106781   -0.23008922)
iface=   6, ipnt= 202 (Y): anal=  -0.01686420,  fd=  -0.01641001,  err=  -0.00045419 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Y): anal=  -0.02431306,  fd=  -0.02370982,  err=  -0.00060323 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.02884231,  fd=  -0.02818707,  err=  -0.00065524 (at    3.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  22 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    4.80133583   -7.07106781   -0.25534446)
iface=   8, ipnt=  23 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    4.68081664   -7.07106781   -0.23008922)
iface=   8, ipnt=  56 (X): anal=   0.25063708,  fd=   0.25136859,  err=  -0.00073151 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.93632293,  fd=   0.93905571,  err=  -0.00273277 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.84589498,  fd=   0.84836382,  err=  -0.00246885 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  59 (Z): anal=   0.84605921,  fd=   0.84615967,  err=  -0.00010047 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=   0.45926975,  fd=   0.45954739,  err=  -0.00027764 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  60 (Z): anal=   0.59808449,  fd=   0.59844604,  err=  -0.00036155 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  61 (Y): anal=  -0.15212425,  fd=  -0.15222482,  err=   0.00010057 (at    4.21515809   -7.19915276    0.15214999)
iface=   8, ipnt=  62 (X): anal=   0.05525016,  fd=   0.05537833,  err=  -0.00012817 (at    4.77823258   -7.40443810   -0.06735572)
...too many errors to list
    d(Face)/d(camber_t) check complete with    13366 total errors (errmax=  2.7992e-02)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018646,  err=  -0.00018646 (at    1.39914476    0.00000000    0.07741770)
iedge=   7, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    4.68081664    7.07106781   -0.23008922)
iedge=   7, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    4.80133583    7.07106781   -0.25534446)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00367716,  err=   0.00367716 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00329393,  err=   0.00329393 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00212749,  err=   0.00212749 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00055882,  err=  -0.00055882 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00203749,  err=  -0.00203749 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at    5.90377736    7.07396588   -0.36829084)
iedge=  11, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00322398,  err=  -0.00322398 (at    5.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  17, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    4.68081664   -7.07106781   -0.23008922)
iedge=  17, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    4.80133583   -7.07106781   -0.25534446)
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00367716,  err=  -0.00367716 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00329393,  err=  -0.00329393 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00212749,  err=  -0.00212749 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00055882,  err=   0.00055882 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00203749,  err=   0.00203749 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at    5.90377736   -7.07396588   -0.36829084)
iedge=  20, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00322398,  err=   0.00322398 (at    5.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(camber_t) check complete with       63 total errors (errmax=  1.1641e-02)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 

*********************************************************
Starting configuration sensitivity wrt "tiprad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "tiprad" for ibody=12
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  4.2618e-09)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00051767,  err=  -0.00051767 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109058,  err=  -0.00109058 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00208329,  err=  -0.00208329 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00323164,  err=  -0.00323164 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at    5.90629014    7.07849533   -0.36424482)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00318152,  err=  -0.00318152 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00206599,  err=  -0.00206599 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00051767,  err=   0.00051767 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109058,  err=  -0.00109058 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00208329,  err=   0.00208329 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at    5.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00323164,  err=   0.00323164 (at    5.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at    5.90629014   -7.07849533   -0.36424482)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00378652,  err=   0.00378652 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00318152,  err=   0.00318152 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00206599,  err=   0.00206599 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(tiprad) check complete with       52 total errors (errmax=  3.7865e-03)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00114200,  err=  -0.00114200 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00019525,  err=   0.00019525 (at    5.90613412    7.07864085   -0.36499841)
    d(Node)/d(tiprad) check complete with        3 total errors (errmax=  3.7865e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      6.298 sec

Sensitivity checks complete with    54059 tnotal errors (max config err=  2.4737e+00) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=12
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=0, dot=-1.26130e-13
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90917058    7.08222659   -0.36492430
                       5.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000090    0.00000076    0.00000006
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=73, dot=-3.74165e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90884325    7.08203457   -0.36591987
                       5.90613412    7.07864085   -0.36499841
                       5.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000260    0.00000222    0.00000052
ERROR:: tessel error: wrong Face area for ibody=12, iface=4, itri=150, dot=-2.40063e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90884325    7.08203457   -0.36591987
                       5.90357808    7.08511068   -0.36379216
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00001006   -0.00000091    0.00002620
ERROR:: tessel error: wrong Face area for ibody=12, iface=4, itri=1063, dot=-2.36358e-12
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90062856    7.08157006   -0.36360759
                       5.90629014    7.07849533   -0.36424482
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90357808    7.08511068   -0.36379216
                       5.90917058    7.08222659   -0.36492430
          area_orig=   0.00000241    0.00000437    0.00000034
          area_ptrb=  -0.00000385    0.00000385   -0.00002881
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275419    0.00000005    0.00525742, dist=   0.00072613 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90843321    7.08252163   -0.36439524, dist=   0.00455084 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79610583    7.13990012   -0.32646534, ptrb=   5.79601479    7.13974259   -0.32650915, dist=   0.00018714 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=   5.79398444    7.12982591   -0.31183916, ptrb=   5.79393085    7.12977398   -0.31191421, dist=   0.00010583 (at    5.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=   5.74478449    7.16357233   -0.30735078, ptrb=   5.74470128    7.16343128   -0.30740397, dist=   0.00017219 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83632864    7.11928932   -0.33784072, ptrb=   5.83623167    7.11914238   -0.33790912, dist=   0.00018887 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.77233983    7.14906026   -0.31325736, ptrb=   5.77224522    7.14891959   -0.31333877, dist=   0.00018806 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=   5.87284933    7.09961915   -0.34898573, ptrb=   5.87279458    7.09955176   -0.34904123, dist=   0.00010305 (at    5.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=   5.81236712    7.13241426   -0.33518312, ptrb=   5.81231206    7.13230676   -0.33518853, dist=   0.00012090 (at    5.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=   5.89066117    7.09182392   -0.35758391, ptrb=   5.89060663    7.09174192   -0.35761743, dist=   0.00010404 (at    5.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=   5.79288305    7.14045735   -0.32260440, ptrb=   5.79278399    7.14030172   -0.32267498, dist=   0.00019752 (at    5.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278113    0.00000000    0.00524619, dist=   0.00072671 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with       88 total errors (errmax=  4.6119e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=   5.90893498    7.08218016   -0.36574892, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00058790 (at    5.90613412    7.07864085   -0.36499841)
iedge=  13, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        3 total errors (errmax=  5.8790e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at    5.90908644    7.08217928   -0.36518087)
    d(Node)/d(area) check complete with        2 total errors (errmax=  4.6119e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=12
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=0, dot=-1.07723e-13
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90734856    7.08221889   -0.36443678
                       5.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000085    0.00000025    0.00000023
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=73, dot=-3.23000e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90702173    7.08202660   -0.36543017
                       5.90613412    7.07864085   -0.36499841
                       5.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000255    0.00000076    0.00000069
ERROR:: tessel error: wrong Face area for ibody=12, iface=4, itri=150, dot=-1.27083e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90702173    7.08202660   -0.36543017
                       5.90176259    7.08509942   -0.36330437
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000852    0.00000038    0.00002053
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79440947    7.13983340   -0.32601660, ptrb=   5.79431832    7.13967564   -0.32606041, dist=   0.00018739 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=   5.79228904    7.12977350   -0.31140441, ptrb=   5.79223558    7.12972168   -0.31147928, dist=   0.00010559 (at    5.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=   5.74314417    7.16348119   -0.30691995, ptrb=   5.74306086    7.16333997   -0.30697316, dist=   0.00017238 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83458794    7.11924519   -0.33738134, ptrb=   5.83449085    7.11909805   -0.33744976, dist=   0.00018909 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.77066938    7.14898583   -0.31282170, ptrb=   5.77057467    7.14884500   -0.31290315, dist=   0.00018825 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=   5.87106796    7.09959538   -0.34851456, ptrb=   5.87101326    7.09952804   -0.34856998, dist=   0.00010295 (at    5.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=   5.81065292    7.13235367   -0.33472471, ptrb=   5.81059785    7.13224615   -0.33473009, dist=   0.00012093 (at    5.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=   5.88885999    7.09180715   -0.35710414, ptrb=   5.88880547    7.09172517   -0.35713761, dist=   0.00010398 (at    5.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=   5.79119021    7.14039122   -0.32215978, ptrb=   5.79109102    7.14023537   -0.32223040, dist=   0.00019778 (at    5.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060547   -0.00009862    0.00458393, dist=   0.00184078 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with       88 total errors (errmax=  3.7198e-03)
iedge=   2, ipnt=   0: anal=   3.77216660   -0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=   5.90711304    7.08217204   -0.36526073, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00058871 (at    5.90613412    7.07864085   -0.36499841)
    d(Edge)/d(aspect) check complete with        3 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90726562    7.08217116   -0.36469214)
    d(Node)/d(aspect) check complete with        2 total errors (errmax=  3.7198e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=0, dot=-5.37128e-14
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90872652    7.07850407   -0.36489645
                       5.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000191   -0.00000003
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=73, dot=-5.37696e-14
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90832627    7.07850376   -0.36638983
                       5.90613412    7.07864085   -0.36499841
                       5.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000192   -0.00000003
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90664294    7.07967610   -0.36516705, dist=   0.00116580 (at    5.90613412    7.07864085   -0.36499841)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998696   -0.00013146    0.00458145, dist=   0.00245454 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        6 total errors (errmax=  2.5204e-03)
iedge=   2, ipnt=   0: anal=   3.77206863   -0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at    5.90856888    7.07864944   -0.36564983)
    d(Node)/d(taper) check complete with        2 total errors (errmax=  2.5204e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79353876    7.13396560   -0.32213833, ptrb=   5.79347694    7.13387610   -0.32219195, dist=   0.00012127 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 199: anal=   5.74218304    7.15702020   -0.30241473, ptrb=   5.74212699    7.15693854   -0.30246756, dist=   0.00011226 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83341364    7.11293503   -0.33425540, ptrb=   5.83335209    7.11286042   -0.33432254, dist=   0.00011773 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.76937995    7.14158453   -0.30846832, ptrb=   5.76931888    7.14150861   -0.30853843, dist=   0.00012004 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 267: anal=   5.79007521    7.13363313   -0.31806437, ptrb=   5.79001078    7.13354933   -0.31813219, dist=   0.00012559 (at    5.79009848    7.13512018   -0.31982232)
iface=   4, ipnt= 285: anal=   5.71212279    7.16781647   -0.28794605, ptrb=   5.71207043    7.16774534   -0.28800387, dist=   0.00010556 (at    5.71217479    7.16958703   -0.29002837)
iface=   4, ipnt= 333: anal=   5.78544410    7.12988709   -0.31074080, ptrb=   5.78539301    7.12983482   -0.31081002, dist=   0.00010067 (at    5.78573145    7.13200866   -0.31231272)
iface=   4, ipnt= 357: anal=   5.74805025    7.14671338   -0.29616283, ptrb=   5.74799822    7.14665625   -0.29623191, dist=   0.00010365 (at    5.74832030    7.14897498   -0.29802438)
iface=   4, ipnt= 375: anal=   5.79496790    7.13016297   -0.31854447, ptrb=   5.79490487    7.13008610   -0.31861621, dist=   0.00012258 (at    5.79505801    7.13180786   -0.32024595)
iface=   4, ipnt= 444: anal=   5.85859705    7.10256808   -0.34637477, ptrb=   5.85853939    7.10248744   -0.34642187, dist=   0.00010975 (at    5.85855275    7.10322656   -0.34732949)
...too many errors to list
    d(Face)/d(twist) check complete with       31 total errors (errmax=  4.9418e-04)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  6.0453e-05)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at    5.90600615    7.07864086   -0.36547574)
    d(Node)/d(twist) check complete with        1 total errors (errmax=  4.9418e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=12
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=5, dot=-4.66533e-12
               orig=   5.90609019    7.07849521   -0.36499091
                       5.90629014    7.07849533   -0.36424482
                       5.90472417    7.07396593   -0.36475736
               ptrb=   5.91109414    7.07870154   -0.36500154
                       5.91107330    7.07891154   -0.36532651
                       5.90995976    7.07495077   -0.36480814
          area_orig=   0.00000338   -0.00000107   -0.00000091
          area_ptrb=  -0.00000118    0.00000037    0.00000032
ERROR:: tessel error: wrong Face area for ibody=12, iface=3, itri=73, dot=-1.00437e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.91083160    7.07849389   -0.36573693
                       5.90613412    7.07864085   -0.36499841
                       5.91109414    7.07870154   -0.36500154
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000005    0.00000365   -0.00000101
ERROR:: tessel error: wrong Face area for ibody=12, iface=4, itri=150, dot=-4.36936e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.91083160    7.07849389   -0.36573693
                       5.90557009    7.08156768   -0.36361351
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000196   -0.00000609    0.00001367
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   3, ipnt=  36: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91118589    7.07858160   -0.36452377, dist=   0.00024031 (at    5.90635241    7.07806438   -0.36350517)
iface=   3, ipnt=  37: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at    5.90629014    7.07849533   -0.36424482)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  27: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91116514    7.07857933   -0.36443055, dist=   0.00021880 (at    5.90635241    7.07806438   -0.36350517)
iface=   4, ipnt=  28: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91095163    7.07864668   -0.36525159, dist=   0.00030094 (at    5.90629014    7.07849533   -0.36424482)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90636644    7.07954310   -0.36614457, dist=   0.00147706 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  56: anal=   5.56136888    7.24122965   -0.27037627, ptrb=   5.56129337    7.24100841   -0.27033090, dist=   0.00023812 (at    5.55755135    7.24126070   -0.26588579)
iface=   4, ipnt=  57: anal=   5.66112780    7.19955555   -0.29847537, ptrb=   5.66104011    7.19931863   -0.29841915, dist=   0.00025881 (at    5.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  60: anal=   5.51147133    7.26070466   -0.25602548, ptrb=   5.51140503    7.26050172   -0.25598703, dist=   0.00021693 (at    5.50765548    7.26073951   -0.25149908)
iface=   4, ipnt=  61: anal=   5.46152224    7.27926465   -0.24149123, ptrb=   5.46146544    7.27908229   -0.24145939, dist=   0.00019364 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62: anal=   5.41148677    7.29689025   -0.22677869, ptrb=   5.41143908    7.29672880   -0.22675279, dist=   0.00017034 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63: anal=   5.36132482    7.31355012   -0.21188826, ptrb=   5.36128547    7.31340877   -0.21186749, dist=   0.00014819 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64: anal=   5.31099009    7.32920023   -0.19681673, ptrb=   5.31095820    7.32907758   -0.19680029, dist=   0.00012779 (at    5.30702511    7.32925043   -0.19273917)
...too many errors to list
    d(Face)/d(lesweep) check complete with      266 total errors (errmax=  4.9429e-03)
iedge=   9, ipnt=   3: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91120091    7.07856013   -0.36444236, dist=   0.00022285 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   5: anal=   5.91074447    7.07863938   -0.36623376, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00127939 (at    5.90613412    7.07864085   -0.36499841)
    d(Edge)/d(lesweep) check complete with        3 total errors (errmax=  1.2794e-03)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at    5.91107699    7.07863939   -0.36499834)
    d(Node)/d(lesweep) check complete with        1 total errors (errmax=  4.9429e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412    7.07864085   -0.36499841)
    d(Face)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-04)
iedge=   9, ipnt=   5: anal=   5.90610322    7.07864085   -0.36499014, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00011937 (at    5.90613412    7.07864085   -0.36499841)
    d(Edge)/d(dihedral) check complete with        1 total errors (errmax=  1.1937e-04)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412    7.07864085   -0.36487483)
    d(Node)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4678e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3320e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.8950e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  1.0699e-06)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  3.9598e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.8613e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0083e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "tiprad"
*********************************************************

Generating perturbed configuration with delta-tiprad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=12
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
    d(Edge)/d(tiprad) check complete with        0 total errors (errmax=  2.1399e-07)
    d(Node)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      6.464 sec

Sensitivity checks complete with      501 total errors (max tessel err=  4.9429e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designG6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "area" for ibody=17
    d(Face)/d(area) check complete with        0 total errors (errmax=  6.7855e-07)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.01300070,  err=   0.01300070 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00705266,  err=   0.00705266 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01125661,  err=  -0.01125661 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471634,  err=  -0.07471634 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848296,  err=  -0.08848296 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580092,  err=  -0.05580092 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.07012462,  err=  -0.07012462 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.04152361,  err=  -0.04152361 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.01300070,  err=  -0.01300070 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00705266,  err=  -0.00705266 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01125661,  err=   0.01125661 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471634,  err=  -0.07471634 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.08848296,  err=   0.08848296 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580093,  err=  -0.05580093 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.07012462,  err=   0.07012462 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.04152361,  err=   0.04152361 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(area) check complete with       72 total errors (errmax=  8.8483e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07382668,  err=  -0.07382668 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848301,  err=  -0.08848301 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00456248,  err=   0.00456248 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07382668,  err=  -0.07382668 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.08848301,  err=   0.08848301 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00456248,  err=   0.00456248 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(area) check complete with        6 total errors (errmax=  8.8483e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "area" for ibody=19
    d(Face)/d(area) check complete with        0 total errors (errmax=  6.7774e-07)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.01300070,  err=   0.01300070 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00705266,  err=   0.00705266 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01125661,  err=  -0.01125661 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471633,  err=  -0.07471633 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848296,  err=  -0.08848296 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580093,  err=  -0.05580093 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.07012462,  err=  -0.07012462 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.04152361,  err=  -0.04152361 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.04323515,  err=  -0.04323515 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.01300070,  err=  -0.01300070 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00072916,  err=  -0.00072916 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05037827,  err=  -0.05037827 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00705266,  err=  -0.00705266 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02038582,  err=  -0.02038582 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.06099160,  err=  -0.06099160 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01125661,  err=   0.01125661 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.03844256,  err=  -0.03844256 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.07471633,  err=  -0.07471633 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07002171,  err=  -0.07002171 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.08848296,  err=   0.08848296 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.01876271,  err=   0.01876271 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.05580093,  err=  -0.05580093 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.07012462,  err=   0.07012462 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.05022494,  err=   0.05022494 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.04431952,  err=  -0.04431952 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.04152361,  err=   0.04152361 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.05940674,  err=   0.05940674 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.03669765,  err=  -0.03669765 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(area) check complete with       72 total errors (errmax=  8.8483e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.07382668,  err=  -0.07382668 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.08848301,  err=  -0.08848301 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00456248,  err=   0.00456248 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(area) check complete with        3 total errors (errmax=  8.8483e-02)
 

*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "aspect" for ibody=17
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  5.4285e-06)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00107660,  err=  -0.00107660 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.04523992,  err=  -0.04523992 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.17552412,  err=  -0.17552412 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623881,  err=  -0.70623881 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.57359990,  err=  -0.57359990 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.37268682,  err=  -0.37268682 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00107660,  err=   0.00107660 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.04523992,  err=   0.04523992 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.17552412,  err=   0.17552412 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70623881,  err=   0.70623881 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.57359990,  err=   0.57359990 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.37268682,  err=   0.37268682 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(aspect) check complete with       72 total errors (errmax=  7.0624e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.22626758,  err=  -0.22626758 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623919,  err=  -0.70623919 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.06129524,  err=  -0.06129524 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.22626758,  err=  -0.22626758 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70623919,  err=   0.70623919 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.06129524,  err=  -0.06129524 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(aspect) check complete with        6 total errors (errmax=  7.0624e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "aspect" for ibody=19
    d(Face)/d(aspect) check complete with        0 total errors (errmax=  5.4289e-06)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00107660,  err=  -0.00107660 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.04523992,  err=  -0.04523992 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.17552412,  err=  -0.17552412 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623881,  err=  -0.70623881 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.57359990,  err=  -0.57359990 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.37268682,  err=  -0.37268682 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01309232,  err=  -0.01309232 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00107660,  err=   0.00107660 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.09724529,  err=  -0.09724529 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.06364936,  err=  -0.06364936 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.04523992,  err=   0.04523992 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.23338265,  err=  -0.23338265 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.13786557,  err=  -0.13786557 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.17552412,  err=   0.17552412 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.35652567,  err=  -0.35652567 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.23219611,  err=  -0.23219611 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.19578580,  err=  -0.19578580 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70623881,  err=   0.70623881 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.05246344,  err=   0.05246344 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.09604133,  err=  -0.09604133 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.57359990,  err=   0.57359990 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.26855163,  err=   0.26855163 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.01668236,  err=  -0.01668236 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.37268682,  err=   0.37268682 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32813784,  err=   0.32813784 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.03440092,  err=   0.03440092 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(aspect) check complete with       72 total errors (errmax=  7.0624e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.22626758,  err=  -0.22626758 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70623919,  err=  -0.70623919 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.06129524,  err=  -0.06129524 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(aspect) check complete with        3 total errors (errmax=  7.0624e-01)
 

*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "taper" for ibody=17
    d(Face)/d(taper) check complete with        0 total errors (errmax=  3.6189e-05)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70054760,  err=   0.70054760 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.67844399,  err=   0.67844399 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.57082126,  err=   0.57082126 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.08684542,  err=   0.08684542 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.27290073,  err=   0.27290073 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70054760,  err=  -0.70054760 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.67844399,  err=  -0.67844399 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.57082126,  err=  -0.57082126 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00860467,  err=   0.00860467 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.08684542,  err=  -0.08684542 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.27290073,  err=  -0.27290073 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(taper) check complete with       72 total errors (errmax=  2.4737e+00)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43637665,  err=  -2.43637665 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65185199,  err=   0.65185199 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43637665,  err=  -2.43637665 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00860467,  err=   0.00860467 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65185199,  err=   0.65185199 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(taper) check complete with        6 total errors (errmax=  2.4364e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "taper" for ibody=19
    d(Face)/d(taper) check complete with        0 total errors (errmax=  3.6188e-05)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.70054760,  err=   0.70054760 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.67844399,  err=   0.67844399 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.57082126,  err=   0.57082126 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.08684542,  err=   0.08684542 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.27290073,  err=   0.27290073 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   2.21859108,  err=  -2.21859108 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.70054760,  err=  -0.70054760 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.60941306,  err=   0.60941306 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   2.26538245,  err=  -2.26538245 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.67844399,  err=  -0.67844399 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.46863235,  err=   0.46863235 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   2.33911140,  err=  -2.33911140 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.57082126,  err=  -0.57082126 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.32679568,  err=   0.32679568 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   2.44371576,  err=  -2.44371576 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43613207,  err=  -2.43613207 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00860467,  err=   0.00860467 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65276479,  err=   0.65276479 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   2.34240648,  err=  -2.34240648 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.08684542,  err=  -0.08684542 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.88980147,  err=   0.88980147 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   2.25879433,  err=  -2.25879433 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.27290073,  err=  -0.27290073 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.98166918,  err=   0.98166918 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   2.19154812,  err=  -2.19154812 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(taper) check complete with       72 total errors (errmax=  2.4737e+00)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   2.43637665,  err=  -2.43637665 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00860467,  err=  -0.00860467 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.65185199,  err=   0.65185199 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(taper) check complete with        3 total errors (errmax=  2.4364e+00)
 

*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "twist" for ibody=17
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.2742e-08)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00082759,  err=  -0.00082759 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981341,  err=   0.00981341 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00551389,  err=   0.00551389 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01219092,  err=   0.01219092 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01074022,  err=  -0.01074022 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01541648,  err=  -0.01541648 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.01300793,  err=  -0.01300793 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at    5.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00082759,  err=   0.00082759 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981341,  err=   0.00981341 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00551389,  err=  -0.00551389 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01219092,  err=  -0.01219092 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01074022,  err=   0.01074022 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01541648,  err=   0.01541648 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.01300793,  err=   0.01300793 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at    5.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(twist) check complete with       60 total errors (errmax=  3.1850e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00852665,  err=   0.00852665 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03182295,  err=   0.03182295 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00852665,  err=   0.00852665 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03182295,  err=   0.03182295 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(twist) check complete with        4 total errors (errmax=  3.1823e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "twist" for ibody=19
    d(Face)/d(twist) check complete with        0 total errors (errmax=  2.3557e-08)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00082759,  err=  -0.00082759 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981340,  err=   0.00981340 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00551389,  err=   0.00551389 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01219092,  err=   0.01219092 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01074022,  err=  -0.01074022 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01541648,  err=  -0.01541648 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.01300793,  err=  -0.01300793 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at   10.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00820147,  err=   0.00820147 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00082759,  err=   0.00082759 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03184950,  err=   0.03184950 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00981340,  err=   0.00981340 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00551389,  err=  -0.00551389 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.03038028,  err=   0.03038028 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.01050391,  err=   0.01050391 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01219092,  err=  -0.01219092 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02503964,  err=   0.02503964 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00811009,  err=   0.00811009 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00200450,  err=  -0.00200450 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01074023,  err=   0.01074023 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00510983,  err=   0.00510983 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00113411,  err=  -0.00113411 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01541648,  err=   0.01541648 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.01381259,  err=   0.01381259 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00288808,  err=   0.00288808 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.01300793,  err=   0.01300793 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=  -0.02590168,  err=   0.02590168 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.00607555,  err=   0.00607555 (at   10.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(twist) check complete with       60 total errors (errmax=  3.1850e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.00852664,  err=   0.00852664 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.03182295,  err=   0.03182295 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(twist) check complete with        2 total errors (errmax=  3.1823e-02)
 

*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "lesweep" for ibody=17
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  4.3262e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.04537574,  err=   0.04537574 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03582339,  err=   0.03582339 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02047863,  err=   0.02047863 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01988661,  err=   0.01988661 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.03754600,  err=   0.03754600 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216685,  err=  -0.14216685 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.05152749,  err=   0.05152749 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.04537574,  err=  -0.04537574 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03582339,  err=  -0.03582339 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02047863,  err=  -0.02047863 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01988661,  err=  -0.01988661 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.03754600,  err=  -0.03754600 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216685,  err=  -0.14216685 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.05152749,  err=  -0.05152749 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(lesweep) check complete with       68 total errors (errmax=  1.6466e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.16471280,  err=  -0.16471280 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.16471280,  err=  -0.16471280 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(lesweep) check complete with        2 total errors (errmax=  1.6471e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "lesweep" for ibody=19
    d(Face)/d(lesweep) check complete with        0 total errors (errmax=  5.7914e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.04537574,  err=   0.04537574 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03582339,  err=   0.03582339 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02047863,  err=   0.02047863 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.01988661,  err=   0.01988661 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.03754600,  err=   0.03754600 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216684,  err=  -0.14216684 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.05152749,  err=   0.05152749 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15086731,  err=  -0.15086731 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.04537574,  err=  -0.04537574 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00234464,  err=  -0.00234464 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.15582187,  err=  -0.15582187 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03582339,  err=  -0.03582339 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00933910,  err=  -0.00933910 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.16126622,  err=  -0.16126622 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02047863,  err=  -0.02047863 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.01138132,  err=  -0.01138132 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.16466034,  err=  -0.16466034 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.15367834,  err=  -0.15367834 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.04117831,  err=   0.04117831 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.14523157,  err=  -0.14523157 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.01988661,  err=  -0.01988661 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.04933748,  err=   0.04933748 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.14113855,  err=  -0.14113855 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.03754600,  err=  -0.03754600 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.04378792,  err=   0.04378792 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=   0.14216684,  err=  -0.14216684 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.05152749,  err=  -0.05152749 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(lesweep) check complete with       68 total errors (errmax=  1.6466e-01)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.16471280,  err=  -0.16471280 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(lesweep) check complete with        1 total errors (errmax=  1.6471e-01)
 

*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dihedral" for ibody=17
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  3.7598e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00583289,  err=  -0.00583289 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.02854738,  err=  -0.02854738 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05141646,  err=  -0.05141646 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03770969,  err=   0.03770969 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05231042,  err=   0.05231042 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.04011624,  err=   0.04011624 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00583289,  err=   0.00583289 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.02854738,  err=   0.02854738 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05141646,  err=   0.05141646 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03770969,  err=  -0.03770969 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05231042,  err=  -0.05231042 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.04011624,  err=  -0.04011624 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(dihedral) check complete with       68 total errors (errmax=  1.2315e-01)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12358291,  err=  -0.12358291 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12358291,  err=  -0.12358291 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(dihedral) check complete with        2 total errors (errmax=  1.2358e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dihedral" for ibody=19
    d(Face)/d(dihedral) check complete with        0 total errors (errmax=  6.0127e-09)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00583289,  err=  -0.00583289 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.02854738,  err=  -0.02854738 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05141646,  err=  -0.05141646 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03770969,  err=   0.03770969 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05231042,  err=   0.05231042 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.04011624,  err=   0.04011624 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00175902,  err=  -0.00175902 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00583289,  err=   0.00583289 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12314962,  err=  -0.12314962 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00700940,  err=  -0.00700940 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.02854738,  err=   0.02854738 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.11605676,  err=  -0.11605676 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00854958,  err=  -0.00854958 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.05141646,  err=   0.05141646 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.09492765,  err=  -0.09492765 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00150568,  err=   0.00150568 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=  -0.03089418,  err=   0.03089418 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.00827814,  err=  -0.00827814 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.03702799,  err=   0.03702799 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03770969,  err=  -0.03770969 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.02978026,  err=  -0.02978026 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.03286853,  err=   0.03286853 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.05231042,  err=  -0.05231042 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.06248299,  err=  -0.06248299 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.01752838,  err=   0.01752838 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.04011624,  err=  -0.04011624 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(dihedral) check complete with       68 total errors (errmax=  1.2315e-01)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.12358291,  err=  -0.12358291 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-01)
 

*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface=   1, ipnt=  17 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Y): anal=   0.13551323,  fd=   0.13533839,  err=   0.00017484 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    0.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  18 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=   0.05370793,  fd=   0.05337266,  err=   0.00033528 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  19 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at   -0.00369714    0.00000000    0.01528693)
iface=   1, ipnt=  19 (Y): anal=   0.01556815,  fd=   0.01572943,  err=  -0.00016128 (at   -0.00369714    0.00000000    0.01528693)
iface=   1, ipnt= 204 (X): anal=   0.16684485,  fd=   0.16569177,  err=   0.00115308 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.01529061,  fd=   0.01518494,  err=   0.00010567 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   1.42152544,  fd=   1.41170116,  err=   0.00982428 (at    2.31787578    1.07723299    0.43050674)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Y): anal=   0.01242582,  fd=   0.01265164,  err=  -0.00022582 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Y): anal=   0.03771462,  fd=   0.03742061,  err=   0.00029401 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   3 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    0.04320575   -0.00000000   -0.03874276)
iface=   2, ipnt=  10 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    2.73137259    1.98873782   -0.01044292)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   0.00001125,  fd=  -0.00010730,  err=   0.00011855 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00000876,  fd=  -0.00026124,  err=   0.00027001 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.00000131,  fd=  -0.00014231,  err=   0.00014363 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   0.00000441,  fd=  -0.00047742,  err=   0.00048182 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=  -0.00000055,  fd=  -0.00021317,  err=   0.00021262 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=  -0.00000197,  fd=  -0.00076733,  err=   0.00076536 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=  -0.00000266,  fd=  -0.00029296,  err=   0.00029030 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=  -0.00001037,  fd=  -0.00114318,  err=   0.00113281 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=  -0.00000482,  fd=  -0.00037730,  err=   0.00037249 (at    5.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  66 (Y): anal=  -0.00002065,  fd=  -0.00161762,  err=   0.00159698 (at    5.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  49 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Y): anal=  -0.13551323,  fd=  -0.13533839,  err=  -0.00017484 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    0.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  50 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.05370793,  fd=  -0.05337266,  err=  -0.00033528 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  51 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at   -0.00369714    0.00000000    0.01528693)
iface=   5, ipnt=  51 (Y): anal=  -0.01556815,  fd=  -0.01572943,  err=   0.00016128 (at   -0.00369714    0.00000000    0.01528693)
iface=   5, ipnt= 204 (X): anal=   0.16708829,  fd=   0.16580355,  err=   0.00128474 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.01347757,  fd=  -0.01337394,  err=  -0.00010363 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   1.39468583,  fd=   1.38396211,  err=   0.01072372 (at    2.36750338   -1.18771842    0.42349350)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Y): anal=  -0.01242582,  fd=  -0.01265164,  err=   0.00022582 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Y): anal=  -0.03771462,  fd=  -0.03742061,  err=  -0.00029401 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 131 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    0.04320575   -0.00000000   -0.03874276)
iface=   6, ipnt= 138 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    2.73137259   -1.98873782   -0.01044292)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=   0.00309417,  fd=   0.00478426,  err=  -0.00169009 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.01155912,  fd=   0.01787292,  err=  -0.00631380 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.01044277,  fd=   0.01614680,  err=  -0.00570403 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=  -0.00560747,  fd=  -0.00547046,  err=  -0.00013702 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=   0.00929008,  fd=   0.00906308,  err=   0.00022700 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=  -0.01068540,  fd=  -0.01042430,  err=  -0.00026110 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=   0.00097764,  fd=   0.00116027,  err=  -0.00018263 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.01057940,  fd=   0.01255576,  err=  -0.00197636 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.01076565,  fd=  -0.01277681,  err=   0.00201115 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.00402113,  fd=  -0.00390306,  err=  -0.00011807 (at    5.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_r) check complete with    13852 total errors (errmax=  8.8710e-02)
iedge=   2, ipnt=  17 (X): anal=  -0.29919256,  fd=  -0.29880654,  err=  -0.00038602 (at    0.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  17 (Z): anal=   0.14797341,  fd=   0.14778249,  err=   0.00019092 (at    0.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  18 (X): anal=  -0.12349369,  fd=  -0.12272277,  err=  -0.00077092 (at   -0.00327219    0.00000000    0.03098919)
iedge=   2, ipnt=  18 (Z): anal=   0.01797595,  fd=   0.01786373,  err=   0.00011222 (at   -0.00327219    0.00000000    0.03098919)
iedge=   2, ipnt=  19 (X): anal=  -0.03578710,  fd=  -0.03615783,  err=   0.00037073 (at   -0.00369714    0.00000000    0.01528693)
iedge=   5, ipnt=   1 (X): anal=  -0.02575487,  fd=  -0.02622293,  err=   0.00046806 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=  -0.01935237,  fd=  -0.01970408,  err=   0.00035171 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=  -0.07246479,  fd=  -0.07189989,  err=  -0.00056490 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=  -0.08657272,  fd=  -0.08589784,  err=  -0.00067488 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   3 (Z): anal=  -0.28614142,  fd=  -0.28600370,  err=  -0.00013772 (at    0.04320575   -0.00000000   -0.03874276)
iedge=   5, ipnt=  10 (Z): anal=  -1.85099094,  fd=  -1.85087984,  err=  -0.00011111 (at    1.39914476    0.00000000    0.07741770)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  7.7092e-04)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  2.2204e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface=   1, ipnt=  17 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    5.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Y): anal=   0.13551323,  fd=   0.13533839,  err=   0.00017484 (at    5.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  17 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    5.00651424    0.00000000    0.06076412)
iface=   1, ipnt=  18 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at    4.99672781    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=   0.05370793,  fd=   0.05337266,  err=   0.00033528 (at    4.99672781    0.00000000    0.03098919)
iface=   1, ipnt=  19 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at    4.99630286    0.00000000    0.01528693)
iface=   1, ipnt=  19 (Y): anal=   0.01556815,  fd=   0.01572943,  err=  -0.00016128 (at    4.99630286    0.00000000    0.01528693)
iface=   1, ipnt= 204 (X): anal=   0.16684485,  fd=   0.16569177,  err=   0.00115308 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.01529061,  fd=   0.01518494,  err=   0.00010567 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   1.42152544,  fd=   1.41170116,  err=   0.00982428 (at    7.31787578    1.07723299    0.43050674)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    5.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Y): anal=   0.01242582,  fd=   0.01265164,  err=  -0.00022582 (at    5.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   1 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    5.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    5.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Y): anal=   0.03771462,  fd=   0.03742061,  err=   0.00029401 (at    5.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    5.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   3 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    5.04320575   -0.00000000   -0.03874276)
iface=   2, ipnt=  10 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    6.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    7.73137259    1.98873782   -0.01044292)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   0.00001125,  fd=  -0.00010730,  err=   0.00011855 (at   10.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00000876,  fd=  -0.00026124,  err=   0.00027001 (at   10.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.00000131,  fd=  -0.00014231,  err=   0.00014363 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   0.00000441,  fd=  -0.00047742,  err=   0.00048182 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=  -0.00000055,  fd=  -0.00021317,  err=   0.00021262 (at   10.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=  -0.00000197,  fd=  -0.00076733,  err=   0.00076536 (at   10.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=  -0.00000266,  fd=  -0.00029296,  err=   0.00029030 (at   10.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=  -0.00001037,  fd=  -0.00114318,  err=   0.00113281 (at   10.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=  -0.00000482,  fd=  -0.00037730,  err=   0.00037249 (at   10.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  66 (Y): anal=  -0.00002065,  fd=  -0.00161762,  err=   0.00159698 (at   10.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  49 (X): anal=  -0.23691351,  fd=  -0.23660785,  err=  -0.00030567 (at    5.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Y): anal=  -0.13551323,  fd=  -0.13533839,  err=  -0.00017484 (at    5.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  49 (Z): anal=   0.11717170,  fd=   0.11702052,  err=   0.00015118 (at    5.00651424    0.00000000    0.06076412)
iface=   5, ipnt=  50 (X): anal=  -0.09317901,  fd=  -0.09259733,  err=  -0.00058168 (at    4.99672781    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.05370793,  fd=  -0.05337266,  err=  -0.00033528 (at    4.99672781    0.00000000    0.03098919)
iface=   5, ipnt=  51 (X): anal=  -0.02685051,  fd=  -0.02712866,  err=   0.00027815 (at    4.99630286    0.00000000    0.01528693)
iface=   5, ipnt=  51 (Y): anal=  -0.01556815,  fd=  -0.01572943,  err=   0.00016128 (at    4.99630286    0.00000000    0.01528693)
iface=   5, ipnt= 204 (X): anal=   0.16708829,  fd=   0.16580355,  err=   0.00128474 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.01347757,  fd=  -0.01337394,  err=  -0.00010363 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   1.39468583,  fd=   1.38396211,  err=   0.01072372 (at    7.36750338   -1.18771842    0.42349350)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=  -0.02107164,  fd=  -0.02145459,  err=   0.00038295 (at    5.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Y): anal=  -0.01242582,  fd=  -0.01265164,  err=   0.00022582 (at    5.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 129 (Z): anal=  -0.01583336,  fd=  -0.01612112,  err=   0.00028775 (at    5.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=  -0.06319131,  fd=  -0.06269870,  err=  -0.00049261 (at    5.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Y): anal=  -0.03771462,  fd=  -0.03742061,  err=  -0.00029401 (at    5.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=  -0.07549381,  fd=  -0.07490530,  err=  -0.00058851 (at    5.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 131 (Z): anal=  -0.27082116,  fd=  -0.27069082,  err=  -0.00013035 (at    5.04320575   -0.00000000   -0.03874276)
iface=   6, ipnt= 138 (Z): anal=  -1.84170251,  fd=  -1.84159196,  err=  -0.00011055 (at    6.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Z): anal=  -1.36718526,  fd=  -1.36845730,  err=   0.00127203 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Z): anal=  -1.19342758,  fd=  -1.19530799,  err=   0.00188041 (at    7.73137259   -1.98873782   -0.01044292)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=   0.00309417,  fd=   0.00478426,  err=  -0.00169009 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.01155912,  fd=   0.01787292,  err=  -0.00631380 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.01044277,  fd=   0.01614680,  err=  -0.00570403 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=  -0.00560747,  fd=  -0.00547046,  err=  -0.00013702 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=   0.00929008,  fd=   0.00906308,  err=   0.00022700 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=  -0.01068540,  fd=  -0.01042430,  err=  -0.00026110 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=   0.00097764,  fd=   0.00116027,  err=  -0.00018263 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.01057940,  fd=   0.01255576,  err=  -0.00197636 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.01076565,  fd=  -0.01277681,  err=   0.00201115 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.00402113,  fd=  -0.00390306,  err=  -0.00011807 (at   10.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_r) check complete with    13676 total errors (errmax=  8.8601e-02)
iedge=   2, ipnt=  17 (X): anal=  -0.29919256,  fd=  -0.29880654,  err=  -0.00038602 (at    5.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  17 (Z): anal=   0.14797341,  fd=   0.14778249,  err=   0.00019092 (at    5.00651424    0.00000000    0.06076412)
iedge=   2, ipnt=  18 (X): anal=  -0.12349369,  fd=  -0.12272277,  err=  -0.00077092 (at    4.99672781    0.00000000    0.03098919)
iedge=   2, ipnt=  18 (Z): anal=   0.01797595,  fd=   0.01786373,  err=   0.00011222 (at    4.99672781    0.00000000    0.03098919)
iedge=   2, ipnt=  19 (X): anal=  -0.03578710,  fd=  -0.03615783,  err=   0.00037073 (at    4.99630286    0.00000000    0.01528693)
iedge=   5, ipnt=   1 (X): anal=  -0.02575487,  fd=  -0.02622293,  err=   0.00046806 (at    5.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=  -0.01935237,  fd=  -0.01970408,  err=   0.00035171 (at    5.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=  -0.07246479,  fd=  -0.07189989,  err=  -0.00056490 (at    5.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=  -0.08657272,  fd=  -0.08589784,  err=  -0.00067488 (at    5.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   3 (Z): anal=  -0.28614142,  fd=  -0.28600370,  err=  -0.00013772 (at    5.04320575   -0.00000000   -0.03874276)
iedge=   5, ipnt=  10 (Z): anal=  -1.85099094,  fd=  -1.85087984,  err=  -0.00011111 (at    6.39914476    0.00000000    0.07741770)
    d(Edge)/d(thick_r) check complete with       11 total errors (errmax=  7.7092e-04)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  1.0201e-09)
 

*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface=   1, ipnt=   9 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    1.58372538    0.00000000    0.51730414)
iface=   1, ipnt=  10 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    1.33283756    0.00000000    0.52170653)
iface=   1, ipnt=  18 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.36350251,  fd=   0.36256128,  err=   0.00094124 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   3.09705740,  fd=   3.08903803,  err=   0.00801937 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.36406652,  fd=   0.36239904,  err=   0.00166748 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   2.71620498,  fd=   2.70376435,  err=   0.01244063 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.35839151,  fd=   0.35603956,  err=   0.00235195 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   2.37907524,  fd=   2.36346254,  err=   0.01561270 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt= 202 (Y): anal=   0.16096069,  fd=   0.16112229,  err=  -0.00016160 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=   0.12607596,  fd=   0.12629058,  err=  -0.00021462 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.09723440,  fd=   0.09746753,  err=  -0.00023313 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    3.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Y): anal=   0.08814185,  fd=   0.08837517,  err=  -0.00023332 (at    3.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    3.11245209    2.87262130   -0.05677696)
...too many errors to list
iface=   4, ipnt=  57 (Y): anal=   0.00125547,  fd=   0.00112701,  err=   0.00012846 (at    5.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  61 (Y): anal=   0.00199639,  fd=   0.00212393,  err=  -0.00012755 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00196486,  fd=   0.00215256,  err=  -0.00018770 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (Y): anal=   0.00181868,  fd=   0.00202896,  err=  -0.00021028 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (Y): anal=   0.00154565,  fd=   0.00171819,  err=  -0.00017254 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  66 (Y): anal=   0.00057529,  fd=   0.00039238,  err=   0.00018290 (at    5.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  67 (X): anal=  -0.00002910,  fd=  -0.00014406,  err=   0.00011497 (at    5.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  67 (Y): anal=  -0.00013953,  fd=  -0.00069085,  err=   0.00055132 (at    5.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  68 (X): anal=  -0.00018432,  fd=  -0.00038065,  err=   0.00019633 (at    5.10251863    7.38039246   -0.13133143)
iface=   4, ipnt=  68 (Y): anal=  -0.00101325,  fd=  -0.00209254,  err=   0.00107928 (at    5.10251863    7.38039246   -0.13133143)
...too many errors to list
iface=   5, ipnt=  41 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    1.58372538    0.00000000    0.51730414)
iface=   5, ipnt=  42 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    1.33283756    0.00000000    0.52170653)
iface=   5, ipnt=  50 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.36402257,  fd=   0.36297413,  err=   0.00104844 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   3.03849605,  fd=   3.02974476,  err=   0.00875129 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.36394798,  fd=   0.36225135,  err=   0.00169663 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   2.70154914,  fd=   2.68895523,  err=   0.01259392 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.35799698,  fd=   0.35561486,  err=   0.00238212 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   2.36441805,  fd=   2.34868517,  err=   0.01573287 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 202 (Y): anal=  -0.16096069,  fd=  -0.16112229,  err=   0.00016160 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=  -0.12607596,  fd=  -0.12629058,  err=   0.00021462 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.09723440,  fd=  -0.09746753,  err=   0.00023313 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    3.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Y): anal=  -0.08814185,  fd=  -0.08837517,  err=   0.00023332 (at    3.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    3.11245209   -2.87262130   -0.05677696)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.01886168,  fd=  -0.01765926,  err=  -0.00120243 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.07046295,  fd=  -0.06597095,  err=  -0.00449200 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.06365780,  fd=  -0.05959963,  err=  -0.00405817 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  58 (X): anal=   0.00383387,  fd=   0.00395198,  err=  -0.00011811 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.04148788,  fd=   0.04276596,  err=  -0.00127808 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.04221828,  fd=  -0.04351886,  err=   0.00130058 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.02770532,  fd=  -0.02789264,  err=   0.00018733 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Y): anal=   0.03792089,  fd=   0.03817728,  err=  -0.00025640 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Z): anal=  -0.04384398,  fd=  -0.04414042,  err=   0.00029644 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=  -0.01515306,  fd=  -0.01533934,  err=   0.00018628 (at    5.60742001   -7.19478312   -0.32026072)
...too many errors to list
    d(Face)/d(camber_r) check complete with    12086 total errors (errmax=  4.2779e-02)
iedge=   2, ipnt=   9 (Z): anal=   3.75909378,  fd=   3.75892497,  err=   0.00016881 (at    1.58372538    0.00000000    0.51730414)
iedge=   2, ipnt=  10 (Z): anal=   3.72128671,  fd=   3.72149822,  err=  -0.00021151 (at    1.33283756    0.00000000    0.52170653)
iedge=   2, ipnt=  18 (X): anal=  -0.11594716,  fd=  -0.11608667,  err=   0.00013951 (at   -0.00327219    0.00000000    0.03098919)
    d(Edge)/d(camber_r) check complete with        3 total errors (errmax=  2.1151e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface=   1, ipnt=   9 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    6.58372538    0.00000000    0.51730414)
iface=   1, ipnt=  10 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    6.33283756    0.00000000    0.52170653)
iface=   1, ipnt=  18 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at    4.99672781    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.36350251,  fd=   0.36256128,  err=   0.00094124 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   3.09705740,  fd=   3.08903803,  err=   0.00801937 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.36406652,  fd=   0.36239904,  err=   0.00166748 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   2.71620498,  fd=   2.70376435,  err=   0.01244063 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.35839151,  fd=   0.35603956,  err=   0.00235195 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   2.37907524,  fd=   2.36346254,  err=   0.01561270 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    8.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt= 202 (Y): anal=   0.16096069,  fd=   0.16112229,  err=  -0.00016160 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=   0.12607596,  fd=   0.12629058,  err=  -0.00021462 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    8.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.09723440,  fd=   0.09746753,  err=  -0.00023313 (at    8.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    8.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    8.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Y): anal=   0.08814185,  fd=   0.08837517,  err=  -0.00023332 (at    8.11245209    2.87262130   -0.05677696)
iface=   2, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    8.11245209    2.87262130   -0.05677696)
...too many errors to list
iface=   4, ipnt=  57 (Y): anal=   0.00125547,  fd=   0.00112701,  err=   0.00012846 (at   10.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  61 (Y): anal=   0.00199639,  fd=   0.00212393,  err=  -0.00012755 (at   10.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (Y): anal=   0.00196486,  fd=   0.00215256,  err=  -0.00018770 (at   10.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (Y): anal=   0.00181868,  fd=   0.00202896,  err=  -0.00021028 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (Y): anal=   0.00154565,  fd=   0.00171819,  err=  -0.00017254 (at   10.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  66 (Y): anal=   0.00057529,  fd=   0.00039238,  err=   0.00018290 (at   10.20549784    7.35728445   -0.16242063)
iface=   4, ipnt=  67 (X): anal=  -0.00002910,  fd=  -0.00014406,  err=   0.00011497 (at   10.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  67 (Y): anal=  -0.00013953,  fd=  -0.00069085,  err=   0.00055132 (at   10.15422833    7.36950463   -0.14697826)
iface=   4, ipnt=  68 (X): anal=  -0.00018432,  fd=  -0.00038065,  err=   0.00019633 (at   10.10251863    7.38039246   -0.13133143)
iface=   4, ipnt=  68 (Y): anal=  -0.00101325,  fd=  -0.00209254,  err=   0.00107928 (at   10.10251863    7.38039246   -0.13133143)
...too many errors to list
iface=   5, ipnt=  41 (Z): anal=   3.75415202,  fd=   3.75398343,  err=   0.00016859 (at    6.58372538    0.00000000    0.51730414)
iface=   5, ipnt=  42 (Z): anal=   3.70493686,  fd=   3.70514744,  err=  -0.00021058 (at    6.33283756    0.00000000    0.52170653)
iface=   5, ipnt=  50 (X): anal=  -0.08748497,  fd=  -0.08759024,  err=   0.00010526 (at    4.99672781    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.36402257,  fd=   0.36297413,  err=   0.00104844 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   3.03849605,  fd=   3.02974476,  err=   0.00875129 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.36394798,  fd=   0.36225135,  err=   0.00169663 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   2.70154914,  fd=   2.68895523,  err=   0.01259392 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.35799698,  fd=   0.35561486,  err=   0.00238212 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   2.36441805,  fd=   2.34868517,  err=   0.01573287 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.35436205,  fd=   0.35173858,  err=   0.00262347 (at    8.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 202 (Y): anal=  -0.16096069,  fd=  -0.16112229,  err=   0.00016160 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   3.01887771,  fd=   3.02190855,  err=  -0.00303084 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=  -0.12607596,  fd=  -0.12629058,  err=   0.00021462 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   2.63274783,  fd=   2.63722966,  err=  -0.00448183 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.05274004,  fd=   0.05286649,  err=  -0.00012645 (at    8.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.09723440,  fd=  -0.09746753,  err=   0.00023313 (at    8.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Z): anal=   2.28864214,  fd=   2.29412932,  err=  -0.00548719 (at    8.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 205 (X): anal=   0.05986303,  fd=   0.06002149,  err=  -0.00015846 (at    8.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Y): anal=  -0.08814185,  fd=  -0.08837517,  err=   0.00023332 (at    8.11245209   -2.87262130   -0.05677696)
iface=   6, ipnt= 205 (Z): anal=   2.17377338,  fd=   2.17952756,  err=  -0.00575418 (at    8.11245209   -2.87262130   -0.05677696)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.01886168,  fd=  -0.01765926,  err=  -0.00120243 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.07046295,  fd=  -0.06597095,  err=  -0.00449200 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.06365780,  fd=  -0.05959963,  err=  -0.00405817 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  58 (X): anal=   0.00383387,  fd=   0.00395198,  err=  -0.00011811 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=   0.04148788,  fd=   0.04276596,  err=  -0.00127808 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=  -0.04221828,  fd=  -0.04351886,  err=   0.00130058 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=  -0.02770532,  fd=  -0.02789264,  err=   0.00018733 (at   10.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Y): anal=   0.03792089,  fd=   0.03817728,  err=  -0.00025640 (at   10.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  59 (Z): anal=  -0.04384398,  fd=  -0.04414042,  err=   0.00029644 (at   10.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=  -0.01515306,  fd=  -0.01533934,  err=   0.00018628 (at   10.60742001   -7.19478312   -0.32026072)
...too many errors to list
    d(Face)/d(camber_r) check complete with    11984 total errors (errmax=  4.2764e-02)
iedge=   2, ipnt=   9 (Z): anal=   3.75909378,  fd=   3.75892497,  err=   0.00016881 (at    6.58372538    0.00000000    0.51730414)
iedge=   2, ipnt=  10 (Z): anal=   3.72128671,  fd=   3.72149822,  err=  -0.00021151 (at    6.33283756    0.00000000    0.52170653)
iedge=   2, ipnt=  18 (X): anal=  -0.11594716,  fd=  -0.11608667,  err=   0.00013951 (at    4.99672781    0.00000000    0.03098919)
    d(Edge)/d(camber_r) check complete with        3 total errors (errmax=  2.1151e-04)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.9071e-08)
 

*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=  -0.00000000,  fd=   0.00011712,  err=  -0.00011712 (at   -0.00327219    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.01486610,  fd=   0.01570256,  err=  -0.00083646 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.12665979,  fd=   0.13378649,  err=  -0.00712671 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.02830321,  fd=   0.02978733,  err=  -0.00148412 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.21116283,  fd=   0.22223548,  err=  -0.01107265 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.04305094,  fd=   0.04514552,  err=  -0.00209458 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.28578086,  fd=   0.29968508,  err=  -0.01390422 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00231616,  fd=  -0.00242515,  err=   0.00010899 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    0.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    0.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Y): anal=  -0.00763357,  fd=  -0.00733543,  err=  -0.00029814 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=  -0.01101165,  fd=  -0.01061562,  err=  -0.00039603 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=  -0.01307046,  fd=  -0.01264027,  err=  -0.00043020 (at    3.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   1.05224118,  fd=   1.05239112,  err=  -0.00014994 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (X): anal=   0.36494976,  fd=   0.36505341,  err=  -0.00010366 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  62 (Y): anal=   1.15004101,  fd=   1.15036766,  err=  -0.00032665 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.37067146,  fd=   0.37084358,  err=  -0.00017212 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   1.24349105,  fd=   1.24406846,  err=  -0.00057741 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=   0.37002996,  fd=   0.37028490,  err=  -0.00025494 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=   1.33197344,  fd=   1.33289113,  err=  -0.00091769 (at    5.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=   0.36253950,  fd=   0.36288913,  err=  -0.00034963 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=   1.41470997,  fd=   1.41607432,  err=  -0.00136435 (at    5.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=   0.34770585,  fd=   0.34815724,  err=  -0.00045139 (at    5.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.00000000,  fd=  -0.00011712,  err=   0.00011712 (at   -0.00327219    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.01673205,  fd=   0.01766411,  err=  -0.00093206 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.13966239,  fd=   0.14744229,  err=  -0.00777990 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.02888509,  fd=   0.03039521,  err=  -0.00151012 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.21441111,  fd=   0.22562057,  err=  -0.01120947 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.04376044,  fd=   0.04588193,  err=  -0.00212148 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.28901915,  fd=   0.30303065,  err=  -0.01401150 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00231616,  fd=   0.00242515,  err=  -0.00010899 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    0.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    0.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Y): anal=   0.00763357,  fd=   0.00733543,  err=   0.00029814 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=   0.01101165,  fd=   0.01061562,  err=   0.00039603 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=   0.01307046,  fd=   0.01264027,  err=   0.00043020 (at    3.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.25425628,  fd=  -0.25667724,  err=   0.00242096 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.94984346,  fd=  -0.95888760,  err=   0.00904414 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.85810972,  fd=  -0.86628040,  err=   0.00817067 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=   0.47070529,  fd=   0.47045554,  err=   0.00024976 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=  -0.77983252,  fd=  -0.77941875,  err=  -0.00041378 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=   0.89695901,  fd=   0.89648308,  err=   0.00047592 (at    5.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=  -0.07073043,  fd=  -0.07095961,  err=   0.00022919 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=  -0.76540249,  fd=  -0.76788261,  err=   0.00248012 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=   0.77887748,  fd=   0.78140126,  err=  -0.00252378 (at    4.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=   0.42507559,  fd=   0.42485799,  err=   0.00021760 (at    5.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_t) check complete with    14117 total errors (errmax=  9.5130e-02)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00026931,  err=   0.00026931 (at   -0.00327219    0.00000000    0.03098919)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00014982,  err=  -0.00014982 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00011258,  err=  -0.00011258 (at    0.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00016347,  err=   0.00016347 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00019530,  err=   0.00019530 (at    0.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011773,  err=   0.00011773 (at    1.39914476    0.00000000    0.07741770)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00050946,  err=   0.00050946 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00357871,  err=  -0.00357871 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01035683,  err=  -0.01035683 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786516,  err=  -0.03786516 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03307516,  err=  -0.03307516 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181837,  err=  -0.00181837 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02420725,  err=  -0.02420725 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00050946,  err=  -0.00050946 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00357871,  err=   0.00357871 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01035683,  err=   0.01035683 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.03786516,  err=   0.03786516 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03307516,  err=   0.03307516 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181837,  err=  -0.00181837 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02420725,  err=   0.02420725 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(thick_t) check complete with       78 total errors (errmax=  3.7865e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01142003,  err=  -0.01142003 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786517,  err=  -0.03786517 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00195245,  err=   0.00195245 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01142003,  err=  -0.01142003 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.03786517,  err=   0.03786517 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00195245,  err=   0.00195245 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(thick_t) check complete with        6 total errors (errmax=  3.7865e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface=   1, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at    4.99672781    0.00000000    0.03098919)
iface=   1, ipnt=  18 (Y): anal=  -0.00000000,  fd=   0.00011712,  err=  -0.00011712 (at    4.99672781    0.00000000    0.03098919)
iface=   1, ipnt= 204 (X): anal=   0.01486610,  fd=   0.01570256,  err=  -0.00083646 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.12665979,  fd=   0.13378649,  err=  -0.00712671 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.02830321,  fd=   0.02978733,  err=  -0.00148412 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.21116283,  fd=   0.22223548,  err=  -0.01107265 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.04305094,  fd=   0.04514552,  err=  -0.00209458 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.28578086,  fd=   0.29968508,  err=  -0.01390422 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    8.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00231616,  fd=  -0.00242515,  err=   0.00010899 (at    8.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    5.00734080   -0.00000000   -0.01294936)
iface=   2, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    5.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    5.01761705   -0.00000000   -0.02370720)
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    6.39914476    0.00000000    0.07741770)
iface=   2, ipnt= 202 (Y): anal=  -0.00763357,  fd=  -0.00733543,  err=  -0.00029814 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (Y): anal=  -0.01101165,  fd=  -0.01061562,  err=  -0.00039603 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    8.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=  -0.01307046,  fd=  -0.01264027,  err=  -0.00043020 (at    8.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  61 (Y): anal=   1.05224118,  fd=   1.05239112,  err=  -0.00014994 (at   10.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62 (X): anal=   0.36494976,  fd=   0.36505341,  err=  -0.00010366 (at   10.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  62 (Y): anal=   1.15004101,  fd=   1.15036766,  err=  -0.00032665 (at   10.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63 (X): anal=   0.37067146,  fd=   0.37084358,  err=  -0.00017212 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  63 (Y): anal=   1.24349105,  fd=   1.24406846,  err=  -0.00057741 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64 (X): anal=   0.37002996,  fd=   0.37028490,  err=  -0.00025494 (at   10.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  64 (Y): anal=   1.33197344,  fd=   1.33289113,  err=  -0.00091769 (at   10.30702511    7.32925043   -0.19273917)
iface=   4, ipnt=  65 (X): anal=   0.36253950,  fd=   0.36288913,  err=  -0.00034963 (at   10.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  65 (Y): anal=   1.41470997,  fd=   1.41607432,  err=  -0.00136435 (at   10.25640701    7.34383711   -0.17767001)
iface=   4, ipnt=  66 (X): anal=   0.34770585,  fd=   0.34815724,  err=  -0.00045139 (at   10.20549784    7.35728445   -0.16242063)
...too many errors to list
iface=   5, ipnt=  50 (X): anal=  -0.00000000,  fd=  -0.00020320,  err=   0.00020320 (at    4.99672781    0.00000000    0.03098919)
iface=   5, ipnt=  50 (Y): anal=  -0.00000000,  fd=  -0.00011712,  err=   0.00011712 (at    4.99672781    0.00000000    0.03098919)
iface=   5, ipnt= 204 (X): anal=   0.01673205,  fd=   0.01766411,  err=  -0.00093206 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.13966239,  fd=   0.14744229,  err=  -0.00777990 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.02888509,  fd=   0.03039521,  err=  -0.00151012 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.21441111,  fd=   0.22562057,  err=  -0.01120947 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.04376044,  fd=   0.04588193,  err=  -0.00212148 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.28901915,  fd=   0.30303065,  err=  -0.01401150 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.04965724,  fd=   0.05199400,  err=  -0.00233675 (at    8.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00231616,  fd=   0.00242515,  err=  -0.00010899 (at    8.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 129 (X): anal=   0.00000000,  fd=   0.00012258,  err=  -0.00012258 (at    5.00734080   -0.00000000   -0.01294936)
iface=   6, ipnt= 130 (X): anal=   0.00000000,  fd=  -0.00014255,  err=   0.00014255 (at    5.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 130 (Z): anal=   0.00000000,  fd=  -0.00017031,  err=   0.00017031 (at    5.01761705   -0.00000000   -0.02370720)
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=  -0.00011714,  err=   0.00011714 (at    6.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 202 (Y): anal=   0.00763357,  fd=   0.00733543,  err=   0.00029814 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=  -0.14317042,  fd=  -0.13757871,  err=  -0.00559171 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (Y): anal=   0.01101165,  fd=   0.01061562,  err=   0.00039603 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=  -0.22994787,  fd=  -0.22167789,  err=  -0.00826998 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=  -0.00708943,  fd=  -0.00685609,  err=  -0.00023334 (at    8.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=   0.01307046,  fd=   0.01264027,  err=   0.00043020 (at    8.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  56 (X): anal=  -0.25425628,  fd=  -0.25667724,  err=   0.00242096 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=  -0.94984346,  fd=  -0.95888760,  err=   0.00904414 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=  -0.85810972,  fd=  -0.86628040,  err=   0.00817067 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  57 (X): anal=   0.47070529,  fd=   0.47045554,  err=   0.00024975 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Y): anal=  -0.77983252,  fd=  -0.77941875,  err=  -0.00041378 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  57 (Z): anal=   0.89695901,  fd=   0.89648308,  err=   0.00047592 (at   10.14143309   -7.33250184   -0.06017411)
iface=   8, ipnt=  58 (X): anal=  -0.07073043,  fd=  -0.07095961,  err=   0.00022919 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Y): anal=  -0.76540249,  fd=  -0.76788261,  err=   0.00248012 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  58 (Z): anal=   0.77887748,  fd=   0.78140126,  err=  -0.00252378 (at    9.48969821   -7.32112102    0.13028865)
iface=   8, ipnt=  59 (X): anal=   0.42507559,  fd=   0.42485799,  err=   0.00021760 (at   10.37851153   -7.27624463   -0.14924195)
...too many errors to list
    d(Face)/d(thick_t) check complete with    13933 total errors (errmax=  9.5154e-02)
iedge=   2, ipnt=  18 (X): anal=   0.00000000,  fd=  -0.00026931,  err=   0.00026931 (at    4.99672781    0.00000000    0.03098919)
iedge=   5, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00014982,  err=  -0.00014982 (at    5.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00011258,  err=  -0.00011258 (at    5.00734080   -0.00000000   -0.01294936)
iedge=   5, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00016347,  err=   0.00016347 (at    5.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00019530,  err=   0.00019530 (at    5.01761705   -0.00000000   -0.02370720)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=  -0.00011773,  err=   0.00011773 (at    6.39914476    0.00000000    0.07741770)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00050946,  err=   0.00050946 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00357871,  err=  -0.00357871 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.01035683,  err=  -0.01035683 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786516,  err=  -0.03786516 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.03307517,  err=  -0.03307517 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181836,  err=  -0.00181836 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.02420725,  err=  -0.02420725 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00497072,  err=  -0.00497072 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00050946,  err=  -0.00050946 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=   0.01915068,  err=  -0.01915068 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00642665,  err=  -0.00642665 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00357871,  err=   0.00357871 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.01977193,  err=  -0.01977193 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00897039,  err=  -0.00897039 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.01035683,  err=   0.01035683 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.02128646,  err=  -0.02128646 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.01277819,  err=  -0.01277819 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01114310,  err=  -0.01114310 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.03786516,  err=   0.03786516 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00298594,  err=   0.00298594 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00621178,  err=  -0.00621178 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.03307517,  err=   0.03307517 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.01575134,  err=   0.01575134 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00181836,  err=  -0.00181836 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.02420725,  err=   0.02420725 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.02170901,  err=   0.02170901 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00241960,  err=   0.00241960 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(thick_t) check complete with       78 total errors (errmax=  3.7865e-02)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01142003,  err=  -0.01142003 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.03786517,  err=  -0.03786517 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00195245,  err=   0.00195245 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(thick_t) check complete with        3 total errors (errmax=  3.7865e-02)
 

*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface=   1, ipnt= 204 (X): anal=   0.03225597,  fd=   0.03352970,  err=  -0.00127372 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.00295612,  fd=   0.00307285,  err=  -0.00011673 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.27482232,  fd=   0.28567449,  err=  -0.01085216 (at    2.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.06145628,  fd=   0.06371635,  err=  -0.00226007 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.45850922,  fd=   0.47537104,  err=  -0.01686182 (at    2.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.09354630,  fd=   0.09673601,  err=  -0.00318971 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.62097923,  fd=   0.64215319,  err=  -0.02117396 (at    2.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00503435,  fd=  -0.00520033,  err=   0.00016598 (at    3.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    3.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    1.39914476    0.00000000    0.07741770)
iface=   2, ipnt=  64 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    4.80133583    7.07106781   -0.25534446)
iface=   2, ipnt=  65 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    4.68081664    7.07106781   -0.23008922)
iface=   2, ipnt= 202 (Y): anal=   0.01686420,  fd=   0.01641001,  err=   0.00045419 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    2.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Y): anal=   0.02431306,  fd=   0.02370982,  err=   0.00060323 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    2.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    3.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.02884231,  fd=   0.02818707,  err=   0.00065524 (at    3.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  46 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    4.80133583    7.07106781   -0.25534446)
iface=   4, ipnt=  47 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    4.68081664    7.07106781   -0.23008922)
iface=   4, ipnt=  70 (Y): anal=   0.00190262,  fd=   0.00170683,  err=   0.00019579 (at    4.99739948    7.39765065   -0.09938872)
iface=   4, ipnt=  81 (X): anal=   0.29219874,  fd=   0.29200363,  err=   0.00019511 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Y): anal=   0.37982515,  fd=   0.37957153,  err=   0.00025362 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Z): anal=   1.45025063,  fd=   1.44928227,  err=   0.00096837 (at    4.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  82 (X): anal=   0.27424294,  fd=   0.27494955,  err=  -0.00070660 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Y): anal=  -0.89427241,  fd=  -0.89657655,  err=   0.00230415 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Z): anal=   0.76905937,  fd=   0.77104089,  err=  -0.00198153 (at    4.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  83 (X): anal=   0.28665441,  fd=   0.28619219,  err=   0.00046222 (at    4.19267923    7.16480531    0.01232203)
...too many errors to list
iface=   5, ipnt= 204 (X): anal=   0.03630855,  fd=   0.03772786,  err=  -0.00141931 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.00292870,  fd=  -0.00304318,  err=   0.00011448 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.30306741,  fd=   0.31491441,  err=  -0.01184700 (at    2.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.06272162,  fd=   0.06502129,  err=  -0.00229967 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.46557626,  fd=   0.48264644,  err=  -0.01707018 (at    2.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.09509114,  fd=   0.09832183,  err=  -0.00323069 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.62803659,  fd=   0.64937393,  err=  -0.02133734 (at    2.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00503435,  fd=   0.00520033,  err=  -0.00016598 (at    3.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    3.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    1.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 192 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    4.80133583   -7.07106781   -0.25534446)
iface=   6, ipnt= 193 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    4.68081664   -7.07106781   -0.23008922)
iface=   6, ipnt= 202 (Y): anal=  -0.01686420,  fd=  -0.01641001,  err=  -0.00045419 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    2.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Y): anal=  -0.02431306,  fd=  -0.02370982,  err=  -0.00060323 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    2.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    3.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.02884231,  fd=  -0.02818707,  err=  -0.00065524 (at    3.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  22 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    4.80133583   -7.07106781   -0.25534446)
iface=   8, ipnt=  23 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    4.68081664   -7.07106781   -0.23008922)
iface=   8, ipnt=  56 (X): anal=   0.25063708,  fd=   0.25136859,  err=  -0.00073151 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.93632293,  fd=   0.93905571,  err=  -0.00273277 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.84589498,  fd=   0.84836382,  err=  -0.00246885 (at    4.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  59 (Z): anal=   0.84605921,  fd=   0.84615967,  err=  -0.00010047 (at    5.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=   0.45926975,  fd=   0.45954739,  err=  -0.00027764 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  60 (Z): anal=   0.59808449,  fd=   0.59844604,  err=  -0.00036155 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  61 (Y): anal=  -0.15212425,  fd=  -0.15222482,  err=   0.00010057 (at    4.21515809   -7.19915276    0.15214999)
iface=   8, ipnt=  62 (X): anal=   0.05525016,  fd=   0.05537833,  err=  -0.00012817 (at    4.77823258   -7.40443810   -0.06735572)
...too many errors to list
    d(Face)/d(camber_t) check complete with    13366 total errors (errmax=  2.7992e-02)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018646,  err=  -0.00018646 (at    1.39914476    0.00000000    0.07741770)
iedge=   7, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    4.68081664    7.07106781   -0.23008922)
iedge=   7, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    4.80133583    7.07106781   -0.25534446)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00367716,  err=   0.00367716 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at    5.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00329393,  err=   0.00329393 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00212749,  err=   0.00212749 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at    5.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00055882,  err=  -0.00055882 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00203749,  err=  -0.00203749 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at    5.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at    5.90377736    7.07396588   -0.36829084)
iedge=  11, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00322398,  err=  -0.00322398 (at    5.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  17, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    4.68081664   -7.07106781   -0.23008922)
iedge=  17, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    4.80133583   -7.07106781   -0.25534446)
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00367716,  err=  -0.00367716 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at    5.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00329393,  err=  -0.00329393 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00212749,  err=  -0.00212749 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at    5.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00055882,  err=   0.00055882 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00203749,  err=   0.00203749 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at    5.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at    5.90377736   -7.07396588   -0.36829084)
iedge=  20, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00322398,  err=   0.00322398 (at    5.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(camber_t) check complete with       63 total errors (errmax=  1.1641e-02)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface=   1, ipnt= 204 (X): anal=   0.03225597,  fd=   0.03352970,  err=  -0.00127372 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Y): anal=   0.00295612,  fd=   0.00307285,  err=  -0.00011673 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 204 (Z): anal=   0.27482232,  fd=   0.28567449,  err=  -0.01085216 (at    7.31787578    1.07723299    0.43050674)
iface=   1, ipnt= 205 (X): anal=   0.06145628,  fd=   0.06371635,  err=  -0.00226007 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 205 (Z): anal=   0.45850922,  fd=   0.47537103,  err=  -0.01686182 (at    7.64045516    1.79538831    0.38492068)
iface=   1, ipnt= 206 (X): anal=   0.09354630,  fd=   0.09673601,  err=  -0.00318971 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 206 (Z): anal=   0.62097923,  fd=   0.64215319,  err=  -0.02117396 (at    7.92581384    2.43067956    0.34459455)
iface=   1, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    8.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Y): anal=  -0.00503435,  fd=  -0.00520033,  err=   0.00016598 (at    8.03747593    2.67927179    0.32881476)
iface=   1, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    8.03747593    2.67927179    0.32881476)
...too many errors to list
iface=   2, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    6.39914476    0.00000000    0.07741770)
iface=   2, ipnt=  64 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    9.80133583    7.07106781   -0.25534446)
iface=   2, ipnt=  65 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    9.68081664    7.07106781   -0.23008922)
iface=   2, ipnt= 202 (Y): anal=   0.01686420,  fd=   0.01641001,  err=   0.00045419 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    7.40983677    1.24296114    0.02865142)
iface=   2, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Y): anal=   0.02431306,  fd=   0.02370982,  err=   0.00060323 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    7.73137259    1.98873782   -0.01044292)
iface=   2, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    8.01718222    2.65165043   -0.04519345)
iface=   2, ipnt= 204 (Y): anal=   0.02884231,  fd=   0.02818707,  err=   0.00065524 (at    8.01718222    2.65165043   -0.04519345)
...too many errors to list
iface=   4, ipnt=  46 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    9.80133583    7.07106781   -0.25534446)
iface=   4, ipnt=  47 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    9.68081664    7.07106781   -0.23008922)
iface=   4, ipnt=  70 (Y): anal=   0.00190262,  fd=   0.00170683,  err=   0.00019579 (at    9.99739948    7.39765065   -0.09938872)
iface=   4, ipnt=  81 (X): anal=   0.29219874,  fd=   0.29200363,  err=   0.00019511 (at    9.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Y): anal=   0.37982515,  fd=   0.37957153,  err=   0.00025362 (at    9.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  81 (Z): anal=   1.45025063,  fd=   1.44928227,  err=   0.00096837 (at    9.61741137    7.23434466    0.16182210)
iface=   4, ipnt=  82 (X): anal=   0.27424294,  fd=   0.27494955,  err=  -0.00070660 (at    9.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Y): anal=  -0.89427241,  fd=  -0.89657655,  err=   0.00230415 (at    9.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  82 (Z): anal=   0.76905937,  fd=   0.77104089,  err=  -0.00198153 (at    9.70986052    7.36353836   -0.11502522)
iface=   4, ipnt=  83 (X): anal=   0.28665441,  fd=   0.28619219,  err=   0.00046222 (at    9.19267923    7.16480531    0.01232203)
...too many errors to list
iface=   5, ipnt= 204 (X): anal=   0.03630855,  fd=   0.03772786,  err=  -0.00141931 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Y): anal=  -0.00292870,  fd=  -0.00304318,  err=   0.00011448 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 204 (Z): anal=   0.30306741,  fd=   0.31491441,  err=  -0.01184700 (at    7.36750338   -1.18771842    0.42349350)
iface=   5, ipnt= 205 (X): anal=   0.06272162,  fd=   0.06502129,  err=  -0.00229967 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 205 (Z): anal=   0.46557626,  fd=   0.48264644,  err=  -0.01707018 (at    7.65286206   -1.82300967    0.38316737)
iface=   5, ipnt= 206 (X): anal=   0.09509114,  fd=   0.09832183,  err=  -0.00323069 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 206 (Z): anal=   0.62803659,  fd=   0.64937393,  err=  -0.02133734 (at    7.93822073   -2.45830092    0.34284124)
iface=   5, ipnt= 207 (X): anal=   0.10793410,  fd=   0.11149260,  err=  -0.00355850 (at    8.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Y): anal=   0.00503435,  fd=   0.00520033,  err=  -0.00016598 (at    8.03747593   -2.67927179    0.32881476)
iface=   5, ipnt= 207 (Z): anal=   0.68446071,  fd=   0.70702682,  err=  -0.02256611 (at    8.03747593   -2.67927179    0.32881476)
...too many errors to list
iface=   6, ipnt= 138 (Z): anal=  -0.00000000,  fd=   0.00018552,  err=  -0.00018552 (at    6.39914476    0.00000000    0.07741770)
iface=   6, ipnt= 192 (Z): anal=   1.84387612,  fd=   1.84399380,  err=  -0.00011768 (at    9.80133583   -7.07106781   -0.25534446)
iface=   6, ipnt= 193 (Z): anal=   1.80325060,  fd=   1.80336306,  err=  -0.00011246 (at    9.68081664   -7.07106781   -0.23008922)
iface=   6, ipnt= 202 (Y): anal=  -0.01686420,  fd=  -0.01641001,  err=  -0.00045419 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 202 (Z): anal=   0.31629437,  fd=   0.30777586,  err=   0.00851851 (at    7.40983677   -1.24296114    0.02865142)
iface=   6, ipnt= 203 (X): anal=   0.00533849,  fd=   0.00520604,  err=   0.00013245 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Y): anal=  -0.02431306,  fd=  -0.02370982,  err=  -0.00060323 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 203 (Z): anal=   0.50771096,  fd=   0.49511410,  err=   0.01259686 (at    7.73137259   -1.98873782   -0.01044292)
iface=   6, ipnt= 204 (X): anal=   0.01564410,  fd=   0.01528870,  err=   0.00035540 (at    8.01718222   -2.65165043   -0.04519345)
iface=   6, ipnt= 204 (Y): anal=  -0.02884231,  fd=  -0.02818707,  err=  -0.00065524 (at    8.01718222   -2.65165043   -0.04519345)
...too many errors to list
iface=   8, ipnt=  22 (Z): anal=   1.84387500,  fd=   1.84399380,  err=  -0.00011879 (at    9.80133583   -7.07106781   -0.25534446)
iface=   8, ipnt=  23 (Z): anal=   1.80325071,  fd=   1.80336308,  err=  -0.00011237 (at    9.68081664   -7.07106781   -0.23008922)
iface=   8, ipnt=  56 (X): anal=   0.25063708,  fd=   0.25136859,  err=  -0.00073151 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Y): anal=   0.93632293,  fd=   0.93905571,  err=  -0.00273277 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  56 (Z): anal=   0.84589498,  fd=   0.84836382,  err=  -0.00246885 (at    9.76741485   -7.36484748   -0.13227693)
iface=   8, ipnt=  59 (Z): anal=   0.84605921,  fd=   0.84615967,  err=  -0.00010047 (at   10.37851153   -7.27624463   -0.14924195)
iface=   8, ipnt=  60 (Y): anal=   0.45926975,  fd=   0.45954739,  err=  -0.00027764 (at   10.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  60 (Z): anal=   0.59808449,  fd=   0.59844604,  err=  -0.00036155 (at   10.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  61 (Y): anal=  -0.15212425,  fd=  -0.15222482,  err=   0.00010057 (at    9.21515809   -7.19915276    0.15214999)
iface=   8, ipnt=  62 (X): anal=   0.05525016,  fd=   0.05537833,  err=  -0.00012817 (at    9.77823258   -7.40443810   -0.06735572)
...too many errors to list
    d(Face)/d(camber_t) check complete with    13212 total errors (errmax=  2.7992e-02)
iedge=   5, ipnt=  10 (Z): anal=   0.00000000,  fd=   0.00018646,  err=  -0.00018646 (at    6.39914476    0.00000000    0.07741770)
iedge=   7, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    9.68081664    7.07106781   -0.23008922)
iedge=   7, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    9.80133583    7.07106781   -0.25534446)
iedge=   9, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00367716,  err=   0.00367716 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at   10.90487498    7.07106781   -0.36078305)
iedge=   9, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00329394,  err=   0.00329394 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00212749,  err=   0.00212749 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at   10.90635241    7.07806438   -0.36350517)
...too many errors to list
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00055882,  err=  -0.00055882 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00203749,  err=  -0.00203749 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at   10.90474052    7.07642274   -0.36758834)
iedge=  11, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at   10.90377736    7.07396588   -0.36829084)
iedge=  11, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00322398,  err=  -0.00322398 (at   10.90377736    7.07396588   -0.36829084)
...too many errors to list
iedge=  17, ipnt=   9 (Z): anal=   1.80995702,  fd=   1.81006990,  err=  -0.00011288 (at    9.68081664   -7.07106781   -0.23008922)
iedge=  17, ipnt=  10 (Z): anal=   1.84638445,  fd=   1.84650229,  err=  -0.00011784 (at    9.80133583   -7.07106781   -0.25534446)
iedge=  18, ipnt=   0 (X): anal=   0.00000000,  fd=   0.01164065,  err=  -0.01164065 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00367716,  err=  -0.00367716 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00322625,  err=   0.00322625 (at   10.90487498   -7.07106781   -0.36078305)
iedge=  18, ipnt=   1 (X): anal=   0.00000000,  fd=   0.01097415,  err=  -0.01097415 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00329394,  err=  -0.00329394 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00229841,  err=   0.00229841 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00866620,  err=  -0.00866620 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00212749,  err=  -0.00212749 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00123347,  err=   0.00123347 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00489670,  err=  -0.00489670 (at   10.90635241   -7.07806438   -0.36350517)
...too many errors to list
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=  -0.00239433,  err=   0.00239433 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00090632,  err=  -0.00090632 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=  -0.00453139,  err=   0.00453139 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00055882,  err=   0.00055882 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00195962,  err=  -0.00195962 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00813008,  err=   0.00813008 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00203749,  err=   0.00203749 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00334022,  err=  -0.00334022 (at   10.90474052   -7.07642274   -0.36758834)
iedge=  20, ipnt=   4 (X): anal=   0.00000000,  fd=  -0.01062994,  err=   0.01062994 (at   10.90377736   -7.07396588   -0.36829084)
iedge=  20, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00322398,  err=   0.00322398 (at   10.90377736   -7.07396588   -0.36829084)
...too many errors to list
    d(Edge)/d(camber_t) check complete with       63 total errors (errmax=  1.1641e-02)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1285e-08)
 

*********************************************************
Starting configuration sensitivity wrt "tiprad"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "tiprad" for ibody=17
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  4.2618e-09)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at    5.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00051767,  err=  -0.00051767 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at    5.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109058,  err=  -0.00109058 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00208329,  err=  -0.00208329 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00323164,  err=  -0.00323164 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at    5.90629014    7.07849533   -0.36424482)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at    5.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00318152,  err=  -0.00318152 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at    5.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00206599,  err=  -0.00206599 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at    5.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at    5.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at    5.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00051767,  err=   0.00051767 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at    5.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109058,  err=  -0.00109058 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00208329,  err=   0.00208329 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at    5.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at    5.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00323164,  err=   0.00323164 (at    5.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at    5.90629014   -7.07849533   -0.36424482)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00378652,  err=   0.00378652 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00318152,  err=   0.00318152 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00206599,  err=   0.00206599 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at    5.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at    5.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(tiprad) check complete with       52 total errors (errmax=  3.7865e-03)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00114200,  err=  -0.00114200 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at    5.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00019525,  err=   0.00019525 (at    5.90613412    7.07864085   -0.36499841)
inode=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00114200,  err=  -0.00114200 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00378652,  err=   0.00378652 (at    5.90613412   -7.07864085   -0.36499841)
inode=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00019525,  err=   0.00019525 (at    5.90613412   -7.07864085   -0.36499841)
    d(Node)/d(tiprad) check complete with        6 total errors (errmax=  3.7865e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "tiprad" for ibody=19
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  4.5755e-09)
iedge=   9, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at   10.90567096    7.07396589   -0.36122388)
iedge=   9, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00051767,  err=  -0.00051767 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at   10.90618976    7.07642276   -0.36217974)
iedge=   9, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109057,  err=  -0.00109057 (at   10.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Y): anal=   0.00000000,  fd=   0.00208329,  err=  -0.00208329 (at   10.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at   10.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at   10.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Y): anal=   0.00000000,  fd=   0.00323164,  err=  -0.00323164 (at   10.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at   10.90629014    7.07849533   -0.36424482)
...too many errors to list
iedge=  11, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at   10.90613412    7.07864085   -0.36499841)
iedge=  11, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Y): anal=   0.00000000,  fd=   0.00318152,  err=  -0.00318152 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at   10.90589031    7.07849532   -0.36573701)
iedge=  11, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Y): anal=   0.00000000,  fd=   0.00206599,  err=  -0.00206599 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at   10.90556810    7.07806437   -0.36643221)
iedge=  11, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at   10.90474052    7.07642274   -0.36758834)
...too many errors to list
iedge=  18, ipnt=   1 (Z): anal=   0.00000000,  fd=   0.00028942,  err=  -0.00028942 (at   10.90567096   -7.07396589   -0.36122388)
iedge=  18, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00044837,  err=  -0.00044837 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00051767,  err=   0.00051767 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   2 (Z): anal=   0.00000000,  fd=   0.00106397,  err=  -0.00106397 (at   10.90618976   -7.07642276   -0.36217974)
iedge=  18, ipnt=   3 (X): anal=   0.00000000,  fd=   0.00109057,  err=  -0.00109057 (at   10.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Y): anal=   0.00000000,  fd=  -0.00208329,  err=   0.00208329 (at   10.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   3 (Z): anal=   0.00000000,  fd=   0.00161775,  err=  -0.00161775 (at   10.90635241   -7.07806438   -0.36350517)
iedge=  18, ipnt=   4 (X): anal=   0.00000000,  fd=   0.00130259,  err=  -0.00130259 (at   10.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Y): anal=   0.00000000,  fd=  -0.00323164,  err=   0.00323164 (at   10.90629014   -7.07849533   -0.36424482)
iedge=  18, ipnt=   4 (Z): anal=   0.00000000,  fd=   0.00105723,  err=  -0.00105723 (at   10.90629014   -7.07849533   -0.36424482)
...too many errors to list
iedge=  20, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00111431,  err=  -0.00111431 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Y): anal=   0.00000000,  fd=  -0.00378652,  err=   0.00378652 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00029859,  err=   0.00029859 (at   10.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1 (X): anal=   0.00000000,  fd=   0.00059751,  err=  -0.00059751 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Y): anal=   0.00000000,  fd=  -0.00318152,  err=   0.00318152 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   1 (Z): anal=   0.00000000,  fd=  -0.00151513,  err=   0.00151513 (at   10.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2 (X): anal=   0.00000000,  fd=   0.00015519,  err=  -0.00015519 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Y): anal=   0.00000000,  fd=  -0.00206599,  err=   0.00206599 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   2 (Z): anal=   0.00000000,  fd=  -0.00185278,  err=   0.00185278 (at   10.90556810   -7.07806437   -0.36643221)
iedge=  20, ipnt=   3 (X): anal=   0.00000000,  fd=  -0.00012094,  err=   0.00012094 (at   10.90474052   -7.07642274   -0.36758834)
...too many errors to list
    d(Edge)/d(tiprad) check complete with       52 total errors (errmax=  3.7865e-03)
inode=   7, ipnt=   0 (X): anal=   0.00000000,  fd=   0.00114200,  err=  -0.00114200 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Y): anal=   0.00000000,  fd=   0.00378652,  err=  -0.00378652 (at   10.90613412    7.07864085   -0.36499841)
inode=   7, ipnt=   0 (Z): anal=   0.00000000,  fd=  -0.00019525,  err=   0.00019525 (at   10.90613412    7.07864085   -0.36499841)
    d(Node)/d(tiprad) check complete with        3 total errors (errmax=  3.7865e-03)
 

*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17

Comparing configuration sensitivities wrt "dxwing" for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  4.2125e-09)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19

Comparing configuration sensitivities wrt "dxwing" for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  4.6332e-09)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  2.7531e-09)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.0280e-09)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->     12.186 sec

Sensitivity checks complete with   107521 tnotal errors (max config err=  2.4737e+00) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designG6.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "area"
*********************************************************

Generating perturbed configuration with delta-area[1,1]=   0.04000000
Computing analytic sensitivities (if possible) for ibody=17
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=0, dot=-1.26130e-13
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90917058    7.08222659   -0.36492430
                       5.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000090    0.00000076    0.00000006
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=73, dot=-3.74165e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90884325    7.08203457   -0.36591987
                       5.90613412    7.07864085   -0.36499841
                       5.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000260    0.00000222    0.00000052
ERROR:: tessel error: wrong Face area for ibody=17, iface=4, itri=150, dot=-2.40063e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90884325    7.08203457   -0.36591987
                       5.90357808    7.08511068   -0.36379216
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00001006   -0.00000091    0.00002620
ERROR:: tessel error: wrong Face area for ibody=17, iface=4, itri=1063, dot=-2.36358e-12
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90062856    7.08157006   -0.36360759
                       5.90629014    7.07849533   -0.36424482
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90357808    7.08511068   -0.36379216
                       5.90917058    7.08222659   -0.36492430
          area_orig=   0.00000241    0.00000437    0.00000034
          area_ptrb=  -0.00000385    0.00000385   -0.00002881
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=0, dot=-5.90722e-13
               orig=   5.90613412   -7.07864085   -0.36499841
                       5.90589031   -7.07849532   -0.36573701
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90613412   -7.07864085   -0.36499841
                       5.90865473   -7.08184255   -0.36639743
                       5.90901030   -7.08192526   -0.36516777
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=  -0.00000405   -0.00000360    0.00000093
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=73, dot=-3.53907e-13
               orig=   5.90629014   -7.07849533   -0.36424482
                       5.90613412   -7.07864085   -0.36499841
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90924329   -7.08203457   -0.36442694
                       5.90613412   -7.07864085   -0.36499841
                       5.90901030   -7.08192526   -0.36516777
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=  -0.00000245   -0.00000217    0.00000045
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77275419    0.00000005    0.00525742, dist=   0.00072613 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90843321    7.08252163   -0.36439524, dist=   0.00455084 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79610583    7.13990012   -0.32646534, ptrb=   5.79601479    7.13974259   -0.32650915, dist=   0.00018714 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=   5.79398444    7.12982591   -0.31183916, ptrb=   5.79393085    7.12977398   -0.31191421, dist=   0.00010583 (at    5.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=   5.74478449    7.16357233   -0.30735078, ptrb=   5.74470128    7.16343128   -0.30740397, dist=   0.00017219 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83632864    7.11928932   -0.33784072, ptrb=   5.83623167    7.11914238   -0.33790912, dist=   0.00018887 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.77233983    7.14906026   -0.31325736, ptrb=   5.77224522    7.14891959   -0.31333877, dist=   0.00018806 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=   5.87284933    7.09961915   -0.34898573, ptrb=   5.87279458    7.09955176   -0.34904123, dist=   0.00010305 (at    5.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=   5.81236712    7.13241426   -0.33518312, ptrb=   5.81231206    7.13230676   -0.33518853, dist=   0.00012090 (at    5.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=   5.89066117    7.09182392   -0.35758391, ptrb=   5.89060663    7.09174192   -0.35761743, dist=   0.00010404 (at    5.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=   5.79288305    7.14045735   -0.32260440, ptrb=   5.79278399    7.14030172   -0.32267498, dist=   0.00019752 (at    5.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77278113    0.00000000    0.00524619, dist=   0.00072671 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90908644   -7.08217928   -0.36518087, dist=   0.00461195 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=   5: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90843321   -7.08252163   -0.36439524, dist=   0.00455084 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=  60: anal=   5.60817385   -7.19490386   -0.32329110, ptrb=   5.60816617   -7.19483032   -0.32318517, dist=   0.00012918 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  76: anal=   5.67729950   -7.19034911   -0.31486686, ptrb=   5.67724752   -7.19016754   -0.31475630, dist=   0.00021884 (at    5.67588950   -7.18802404   -0.31111034)
iface=   8, ipnt=  88: anal=   5.86379554   -7.10477126   -0.35645543, ptrb=   5.86373390   -7.10459663   -0.35634252, dist=   0.00021689 (at    5.86151363   -7.10168057   -0.35441580)
iface=   8, ipnt= 107: anal=   5.50608194   -7.25703755   -0.27643790, ptrb=   5.50605927   -7.25693428   -0.27637455, dist=   0.00012326 (at    5.50481443   -7.25486554   -0.27292711)
iface=   8, ipnt= 120: anal=   5.79827265   -7.12746562   -0.35109025, ptrb=   5.79825283   -7.12736426   -0.35095156, dist=   0.00017292 (at    5.79673916   -7.12616471   -0.34865197)
iface=   8, ipnt= 135: anal=   5.75510613   -7.15192648   -0.33804392, ptrb=   5.75506155   -7.15174983   -0.33788095, dist=   0.00024444 (at    5.75374436   -7.15026195   -0.33468313)
iface=   8, ipnt= 137: anal=   5.81494471   -7.13012448   -0.34252909, ptrb=   5.81486189   -7.12991187   -0.34244410, dist=   0.00024349 (at    5.81280887   -7.12676218   -0.33974457)
iface=   8, ipnt= 141: anal=   5.83997375   -7.11240037   -0.35574484, ptrb=   5.83994559   -7.11228665   -0.35561405, dist=   0.00017559 (at    5.83805116   -7.11030301   -0.35363468)
iface=   8, ipnt= 145: anal=   5.87334279   -7.09636787   -0.36209863, ptrb=   5.87332936   -7.09630895   -0.36201771, dist=   0.00010100 (at    5.87104997   -7.09388439   -0.36079653)
...too many errors to list
    d(Face)/d(area) check complete with      253 total errors (errmax=  4.6119e-03)
iedge=   1, ipnt=   0: anal=   3.77420487   -0.00047046    0.00461792, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    3.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=   5.90893498    7.08218016   -0.36574892, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00058790 (at    5.90613412    7.07864085   -0.36499841)
iedge=  13, ipnt=   0: anal=   3.77417753    0.00056111    0.00462260, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        3 total errors (errmax=  5.8790e-04)
inode=   1:            anal=   3.77247546    0.00004956    0.00458875, ptrb=   3.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    3.77434628    0.00000000    0.00459361)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at    5.90908644    7.08217928   -0.36518087)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90908644   -7.08217928   -0.36518087, dist=   0.00461195 (at    5.90908644   -7.08217928   -0.36518087)
    d(Node)/d(area) check complete with        3 total errors (errmax=  4.6119e-03)
Computing analytic sensitivities (if possible) for ibody=19
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=0, dot=-1.26130e-13
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90629014    7.07849533   -0.36424482
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90917058    7.08222659   -0.36492430
                      10.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000090    0.00000076    0.00000006
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=73, dot=-3.74165e-13
               orig=  10.90589031    7.07849532   -0.36573701
                      10.90613412    7.07864085   -0.36499841
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90884325    7.08203457   -0.36591987
                      10.90613412    7.07864085   -0.36499841
                      10.90907205    7.08212999   -0.36517833
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000260    0.00000222    0.00000052
ERROR:: tessel error: wrong Face area for ibody=19, iface=4, itri=150, dot=-2.40063e-11
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90589031    7.07849532   -0.36573701
                      10.90062856    7.08157006   -0.36360759
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90884325    7.08203457   -0.36591987
                      10.90357808    7.08511068   -0.36379216
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00001006   -0.00000091    0.00002620
ERROR:: tessel error: wrong Face area for ibody=19, iface=4, itri=1063, dot=-2.36358e-12
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90062856    7.08157006   -0.36360759
                      10.90629014    7.07849533   -0.36424482
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90357808    7.08511068   -0.36379216
                      10.90917058    7.08222659   -0.36492430
          area_orig=   0.00000241    0.00000437    0.00000034
          area_ptrb=  -0.00000385    0.00000385   -0.00002881
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77275419    0.00000005    0.00525742, dist=   0.00072613 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422414    0.00000000    0.00413561, dist=   0.00180712 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90843321    7.08252163   -0.36439524, dist=   0.00455084 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=  10.79610583    7.13990012   -0.32646534, ptrb=  10.79601479    7.13974259   -0.32650915, dist=   0.00018714 (at   10.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=  10.79398444    7.12982591   -0.31183916, ptrb=  10.79393085    7.12977398   -0.31191421, dist=   0.00010583 (at   10.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=  10.74478449    7.16357233   -0.30735078, ptrb=  10.74470128    7.16343128   -0.30740397, dist=   0.00017219 (at   10.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=  10.83632864    7.11928932   -0.33784072, ptrb=  10.83623167    7.11914238   -0.33790912, dist=   0.00018887 (at   10.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=  10.77233983    7.14906026   -0.31325736, ptrb=  10.77224522    7.14891959   -0.31333877, dist=   0.00018806 (at   10.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=  10.87284933    7.09961915   -0.34898573, ptrb=  10.87279458    7.09955176   -0.34904123, dist=   0.00010305 (at   10.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=  10.81236712    7.13241426   -0.33518312, ptrb=  10.81231206    7.13230676   -0.33518853, dist=   0.00012090 (at   10.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=  10.89066117    7.09182392   -0.35758391, ptrb=  10.89060663    7.09174192   -0.35761743, dist=   0.00010404 (at   10.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=  10.79288305    7.14045735   -0.32260440, ptrb=  10.79278399    7.14030172   -0.32267498, dist=   0.00019752 (at   10.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77278113    0.00000000    0.00524619, dist=   0.00072671 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77422479    0.00000000    0.00413804, dist=   0.00180714 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(area) check complete with       88 total errors (errmax=  4.6119e-03)
iedge=   1, ipnt=   0: anal=   8.77420487   -0.00047046    0.00461792, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00049186 (at    8.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=  10.90893498    7.08218016   -0.36574892, ptrb=  10.90908644    7.08217928   -0.36518087, dist=   0.00058790 (at   10.90613412    7.07864085   -0.36499841)
iedge=  13, ipnt=   0: anal=   8.77417753    0.00056111    0.00462260, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00058665 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(area) check complete with        3 total errors (errmax=  5.8790e-04)
inode=   1:            anal=   8.77247546    0.00004956    0.00458875, ptrb=   8.77434628    0.00000000    0.00459361, dist=   0.00187147 (at    8.77434628    0.00000000    0.00459361)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90908644    7.08217928   -0.36518087, dist=   0.00461195 (at   10.90908644    7.08217928   -0.36518087)
    d(Node)/d(area) check complete with        2 total errors (errmax=  4.6119e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "aspect"
*********************************************************

Generating perturbed configuration with delta-aspect[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=0, dot=-1.07723e-13
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90734856    7.08221889   -0.36443678
                       5.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000085    0.00000025    0.00000023
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=73, dot=-3.23000e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90702173    7.08202660   -0.36543017
                       5.90613412    7.07864085   -0.36499841
                       5.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000255    0.00000076    0.00000069
ERROR:: tessel error: wrong Face area for ibody=17, iface=4, itri=150, dot=-1.27083e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90702173    7.08202660   -0.36543017
                       5.90176259    7.08509942   -0.36330437
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000852    0.00000038    0.00002053
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=0, dot=-5.06760e-13
               orig=   5.90613412   -7.07864085   -0.36499841
                       5.90589031   -7.07849532   -0.36573701
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90613412   -7.07864085   -0.36499841
                       5.90683294   -7.08183432   -0.36590839
                       5.90718849   -7.08191700   -0.36467880
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=  -0.00000400   -0.00000118    0.00000108
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=73, dot=-3.02689e-13
               orig=   5.90629014   -7.07849533   -0.36424482
                       5.90613412   -7.07864085   -0.36499841
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90742137   -7.08202661   -0.36393873
                       5.90613412   -7.07864085   -0.36499841
                       5.90718849   -7.08191700   -0.36467880
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=  -0.00000239   -0.00000071    0.00000065
ERROR:: tessel error: wrong Face area for ibody=17, iface=8, itri=10, dot=-7.96668e-13
               orig=   5.90589031   -7.07849532   -0.36573701
                       5.90613412   -7.07864085   -0.36499841
                       5.90128564   -7.08006488   -0.36572600
               ptrb=   5.90683294   -7.08183432   -0.36590839
                       5.90613412   -7.07864085   -0.36499841
                       5.90215872   -7.08317494   -0.36589727
          area_orig=   0.00000116   -0.00000340   -0.00000105
          area_ptrb=   0.00000126   -0.00000425    0.00001586
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79440947    7.13983340   -0.32601660, ptrb=   5.79431832    7.13967564   -0.32606041, dist=   0.00018739 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=   5.79228904    7.12977350   -0.31140441, ptrb=   5.79223558    7.12972168   -0.31147928, dist=   0.00010559 (at    5.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=   5.74314417    7.16348119   -0.30691995, ptrb=   5.74306086    7.16333997   -0.30697316, dist=   0.00017238 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83458794    7.11924519   -0.33738134, ptrb=   5.83449085    7.11909805   -0.33744976, dist=   0.00018909 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.77066938    7.14898583   -0.31282170, ptrb=   5.77057467    7.14884500   -0.31290315, dist=   0.00018825 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=   5.87106796    7.09959538   -0.34851456, ptrb=   5.87101326    7.09952804   -0.34856998, dist=   0.00010295 (at    5.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=   5.81065292    7.13235367   -0.33472471, ptrb=   5.81059785    7.13224615   -0.33473009, dist=   0.00012093 (at    5.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=   5.88885999    7.09180715   -0.35710414, ptrb=   5.88880547    7.09172517   -0.35713761, dist=   0.00010398 (at    5.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=   5.79119021    7.14039122   -0.32215978, ptrb=   5.79109102    7.14023537   -0.32223040, dist=   0.00019778 (at    5.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77060547   -0.00009862    0.00458393, dist=   0.00184078 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90726562   -7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=   5: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90726562   -7.08217116   -0.36469214, dist=   0.00371985 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=  60: anal=   5.60667149   -7.19476709   -0.32284130, ptrb=   5.60666382   -7.19469363   -0.32273548, dist=   0.00012904 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  76: anal=   5.67572919   -7.19022244   -0.31442784, ptrb=   5.67567714   -7.19004058   -0.31431705, dist=   0.00021922 (at    5.67588950   -7.18802404   -0.31111034)
iface=   8, ipnt=  88: anal=   5.86202315   -7.10473780   -0.35597787, ptrb=   5.86196145   -7.10456292   -0.35586469, dist=   0.00021726 (at    5.86151363   -7.10168057   -0.35441580)
iface=   8, ipnt= 107: anal=   5.50469166   -7.25684013   -0.27603089, ptrb=   5.50466899   -7.25673683   -0.27596751, dist=   0.00012329 (at    5.50481443   -7.25486554   -0.27292711)
iface=   8, ipnt= 120: anal=   5.79656950   -7.12740349   -0.35061706, ptrb=   5.79654968   -7.12730207   -0.35047825, dist=   0.00017305 (at    5.79673916   -7.12616471   -0.34865197)
iface=   8, ipnt= 135: anal=   5.75345084   -7.15183911   -0.33758400, ptrb=   5.75340621   -7.15166219   -0.33742072, dist=   0.00024485 (at    5.75374436   -7.15026195   -0.33468313)
iface=   8, ipnt= 137: anal=   5.81322655   -7.13006455   -0.34206525, ptrb=   5.81314360   -7.12985153   -0.34198001, dist=   0.00024397 (at    5.81280887   -7.12676218   -0.33974457)
iface=   8, ipnt= 141: anal=   5.83822632   -7.11235631   -0.35526749, ptrb=   5.83819815   -7.11224249   -0.35513653, dist=   0.00017578 (at    5.83805116   -7.11030301   -0.35363468)
iface=   8, ipnt= 145: anal=   5.87155900   -7.09634193   -0.36161426, ptrb=   5.87154558   -7.09628305   -0.36153336, dist=   0.00010096 (at    5.87104997   -7.09388439   -0.36079653)
...too many errors to list
    d(Face)/d(aspect) check complete with      253 total errors (errmax=  3.7198e-03)
iedge=   2, ipnt=   0: anal=   3.77216660   -0.00000000    0.00392496, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77069973   -0.00000000    0.00505943, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    3.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=   5.90711304    7.08217204   -0.36526073, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00058871 (at    5.90613412    7.07864085   -0.36499841)
    d(Edge)/d(aspect) check complete with        3 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   3.77244557   -0.00004956    0.00459388, ptrb=   3.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    3.77057570    0.00000000    0.00458902)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at    5.90726562    7.08217116   -0.36469214)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90726562   -7.08217116   -0.36469214, dist=   0.00371985 (at    5.90726562   -7.08217116   -0.36469214)
    d(Node)/d(aspect) check complete with        3 total errors (errmax=  3.7198e-03)
Computing analytic sensitivities (if possible) for ibody=19
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=0, dot=-1.07723e-13
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90629014    7.07849533   -0.36424482
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90734856    7.08221889   -0.36443678
                      10.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000085    0.00000025    0.00000023
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=73, dot=-3.23000e-13
               orig=  10.90589031    7.07849532   -0.36573701
                      10.90613412    7.07864085   -0.36499841
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90702173    7.08202660   -0.36543017
                      10.90613412    7.07864085   -0.36499841
                      10.90725032    7.08212201   -0.36468937
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000255    0.00000076    0.00000069
ERROR:: tessel error: wrong Face area for ibody=19, iface=4, itri=150, dot=-1.27083e-11
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90589031    7.07849532   -0.36573701
                      10.90062856    7.08157006   -0.36360759
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90702173    7.08202660   -0.36543017
                      10.90176259    7.08509942   -0.36330437
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000852    0.00000038    0.00002053
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77071406    0.00045838    0.00456537, dist=   0.00180470 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=  10.79440947    7.13983340   -0.32601660, ptrb=  10.79431832    7.13967564   -0.32606041, dist=   0.00018739 (at   10.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 137: anal=  10.79228904    7.12977350   -0.31140441, ptrb=  10.79223558    7.12972168   -0.31147928, dist=   0.00010559 (at   10.79067676    7.12353898   -0.30980725)
iface=   4, ipnt= 199: anal=  10.74314417    7.16348119   -0.30691995, ptrb=  10.74306086    7.16333997   -0.30697316, dist=   0.00017238 (at   10.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=  10.83458794    7.11924519   -0.33738134, ptrb=  10.83449085    7.11909805   -0.33744976, dist=   0.00018909 (at   10.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=  10.77066938    7.14898583   -0.31282170, ptrb=  10.77057467    7.14884500   -0.31290315, dist=   0.00018825 (at   10.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 257: anal=  10.87106796    7.09959538   -0.34851456, ptrb=  10.87101326    7.09952804   -0.34856998, dist=   0.00010295 (at   10.86983483    7.09483265   -0.34762107)
iface=   4, ipnt= 259: anal=  10.81065292    7.13235367   -0.33472471, ptrb=  10.81059785    7.13224615   -0.33473009, dist=   0.00012093 (at   10.80978764    7.12831883   -0.33315067)
iface=   4, ipnt= 265: anal=  10.88885999    7.09180715   -0.35710414, ptrb=  10.88880547    7.09172517   -0.35713761, dist=   0.00010398 (at   10.88775553    7.08759370   -0.35644693)
iface=   4, ipnt= 267: anal=  10.79119021    7.14039122   -0.32215978, ptrb=  10.79109102    7.14023537   -0.32223040, dist=   0.00019778 (at   10.79009848    7.13512018   -0.31982232)
...too many errors to list
iface=   5, ipnt=  32: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77060547   -0.00009862    0.00458393, dist=   0.00184078 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77074144   -0.00054908    0.00456069, dist=   0.00177614 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(aspect) check complete with       88 total errors (errmax=  3.7198e-03)
iedge=   2, ipnt=   0: anal=   8.77216660    0.00000000    0.00392496, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00172394 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77069973   -0.00000000    0.00505943, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00048649 (at    8.77246052    0.00000000    0.00459131)
iedge=   9, ipnt=   5: anal=  10.90711304    7.08217204   -0.36526073, ptrb=  10.90726562    7.08217116   -0.36469214, dist=   0.00058871 (at   10.90613412    7.07864085   -0.36499841)
    d(Edge)/d(aspect) check complete with        3 total errors (errmax=  1.7239e-03)
inode=   1:            anal=   8.77244557   -0.00004956    0.00459388, ptrb=   8.77057570    0.00000000    0.00458902, dist=   0.00187053 (at    8.77057570    0.00000000    0.00458902)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90726562    7.08217116   -0.36469214, dist=   0.00371985 (at   10.90726562    7.08217116   -0.36469214)
    d(Node)/d(aspect) check complete with        2 total errors (errmax=  3.7198e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "taper"
*********************************************************

Generating perturbed configuration with delta-taper[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=0, dot=-5.37128e-14
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90629014    7.07849533   -0.36424482
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.90872652    7.07850407   -0.36489645
                       5.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000191   -0.00000003
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=73, dot=-5.37696e-14
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.90832627    7.07850376   -0.36638983
                       5.90613412    7.07864085   -0.36499841
                       5.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000192   -0.00000003
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=0, dot=-5.37949e-14
               orig=   5.90613412   -7.07864085   -0.36499841
                       5.90589031   -7.07849532   -0.36573701
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90613412   -7.07864085   -0.36499841
                       5.90832597   -7.07850345   -0.36639060
                       5.90852642   -7.07850365   -0.36564274
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=   0.00000010   -0.00000192   -0.00000003
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=73, dot=-5.37384e-14
               orig=   5.90629014   -7.07849533   -0.36424482
                       5.90613412   -7.07864085   -0.36499841
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90872664   -7.07850377   -0.36489565
                       5.90613412   -7.07864085   -0.36499841
                       5.90852642   -7.07850365   -0.36564274
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=   0.00000010   -0.00000192   -0.00000003
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   1, ipnt=   0: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    3.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90664294    7.07967610   -0.36516705, dist=   0.00116580 (at    5.90613412    7.07864085   -0.36499841)
iface=   5, ipnt=  32: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76998696   -0.00013146    0.00458145, dist=   0.00245454 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    3.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90856888   -7.07864944   -0.36564983, dist=   0.00252041 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=   5: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90664294   -7.07967610   -0.36516705, dist=   0.00116580 (at    5.90613412   -7.07864085   -0.36499841)
    d(Face)/d(taper) check complete with        8 total errors (errmax=  2.5204e-03)
iedge=   2, ipnt=   0: anal=   3.77206863   -0.00000000    0.00370284, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    3.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   3.77011280   -0.00000000    0.00521547, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    3.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   3.77244059   -0.00006608    0.00459473, ptrb=   3.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    3.76994722    0.00000000    0.00458826)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at    5.90856888    7.07864944   -0.36564983)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90856888   -7.07864944   -0.36564983, dist=   0.00252041 (at    5.90856888   -7.07864944   -0.36564983)
    d(Node)/d(taper) check complete with        3 total errors (errmax=  2.5204e-03)
Computing analytic sensitivities (if possible) for ibody=19
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=0, dot=-5.37128e-14
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90629014    7.07849533   -0.36424482
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.90872652    7.07850407   -0.36489645
                      10.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000191   -0.00000003
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=73, dot=-5.37696e-14
               orig=  10.90589031    7.07849532   -0.36573701
                      10.90613412    7.07864085   -0.36499841
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.90832627    7.07850376   -0.36638983
                      10.90613412    7.07864085   -0.36499841
                      10.90852652    7.07850398   -0.36564275
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=   0.00000010    0.00000192   -0.00000003
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   1, ipnt=   0: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=   1: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77013223    0.00061207    0.00455657, dist=   0.00240622 (at    8.77246052    0.00000000    0.00459131)
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  29: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90664294    7.07967610   -0.36516705, dist=   0.00116580 (at   10.90613412    7.07864085   -0.36499841)
iface=   5, ipnt=  32: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76998696   -0.00013146    0.00458145, dist=   0.00245454 (at    8.77246052    0.00000000    0.00459131)
iface=   7, ipnt=  33: anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.77016877   -0.00073296    0.00455032, dist=   0.00236809 (at    8.77246052    0.00000000    0.00459131)
    d(Face)/d(taper) check complete with        6 total errors (errmax=  2.5204e-03)
iedge=   2, ipnt=   0: anal=   8.77206863    0.00000000    0.00370284, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00229877 (at    8.77246052    0.00000000    0.00459131)
iedge=   8, ipnt=   1: anal=   8.77011280   -0.00000000    0.00521547, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00064871 (at    8.77246052    0.00000000    0.00459131)
    d(Edge)/d(taper) check complete with        2 total errors (errmax=  2.2988e-03)
inode=   1:            anal=   8.77244059   -0.00006608    0.00459473, ptrb=   8.76994722    0.00000000    0.00458826, dist=   0.00249425 (at    8.76994722    0.00000000    0.00458826)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90856888    7.07864944   -0.36564983, dist=   0.00252041 (at   10.90856888    7.07864944   -0.36564983)
    d(Node)/d(taper) check complete with        2 total errors (errmax=  2.5204e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "twist"
*********************************************************

Generating perturbed configuration with delta-twist[1,1]=   0.01500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=   5.79353876    7.13396560   -0.32213833, ptrb=   5.79347694    7.13387610   -0.32219195, dist=   0.00012127 (at    5.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 199: anal=   5.74218304    7.15702020   -0.30241473, ptrb=   5.74212699    7.15693854   -0.30246756, dist=   0.00011226 (at    5.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=   5.83341364    7.11293503   -0.33425540, ptrb=   5.83335209    7.11286042   -0.33432254, dist=   0.00011773 (at    5.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=   5.76937995    7.14158453   -0.30846832, ptrb=   5.76931888    7.14150861   -0.30853843, dist=   0.00012004 (at    5.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 267: anal=   5.79007521    7.13363313   -0.31806437, ptrb=   5.79001078    7.13354933   -0.31813219, dist=   0.00012559 (at    5.79009848    7.13512018   -0.31982232)
iface=   4, ipnt= 285: anal=   5.71212279    7.16781647   -0.28794605, ptrb=   5.71207043    7.16774534   -0.28800387, dist=   0.00010556 (at    5.71217479    7.16958703   -0.29002837)
iface=   4, ipnt= 333: anal=   5.78544410    7.12988709   -0.31074080, ptrb=   5.78539301    7.12983482   -0.31081002, dist=   0.00010067 (at    5.78573145    7.13200866   -0.31231272)
iface=   4, ipnt= 357: anal=   5.74805025    7.14671338   -0.29616283, ptrb=   5.74799822    7.14665625   -0.29623191, dist=   0.00010365 (at    5.74832030    7.14897498   -0.29802438)
iface=   4, ipnt= 375: anal=   5.79496790    7.13016297   -0.31854447, ptrb=   5.79490487    7.13008610   -0.31861621, dist=   0.00012258 (at    5.79505801    7.13180786   -0.32024595)
iface=   4, ipnt= 444: anal=   5.85859705    7.10256808   -0.34637477, ptrb=   5.85853939    7.10248744   -0.34642187, dist=   0.00010975 (at    5.85855275    7.10322656   -0.34732949)
...too many errors to list
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90600615   -7.07864086   -0.36547574, dist=   0.00049418 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=  76: anal=   5.67697580   -7.18909063   -0.30849766, ptrb=   5.67692558   -7.18894486   -0.30844417, dist=   0.00016320 (at    5.67588950   -7.18802404   -0.31111034)
iface=   8, ipnt=  88: anal=   5.86193371   -7.10206733   -0.35331594, ptrb=   5.86186381   -7.10191859   -0.35329031, dist=   0.00016633 (at    5.86151363   -7.10168057   -0.35441580)
iface=   8, ipnt= 120: anal=   5.79776247   -7.12806589   -0.34719705, ptrb=   5.79773663   -7.12796852   -0.34710439, dist=   0.00013687 (at    5.79673916   -7.12616471   -0.34865197)
iface=   8, ipnt= 135: anal=   5.75489760   -7.15186772   -0.33243502, ptrb=   5.75484614   -7.15170905   -0.33234322, dist=   0.00019040 (at    5.75374436   -7.15026195   -0.33468313)
iface=   8, ipnt= 137: anal=   5.81333507   -7.12693127   -0.33799919, ptrb=   5.81325780   -7.12677243   -0.33799255, dist=   0.00017676 (at    5.81280887   -7.12676218   -0.33974457)
iface=   8, ipnt= 141: anal=   5.83876354   -7.11152818   -0.35246887, ptrb=   5.83872648   -7.11141664   -0.35239084, dist=   0.00014108 (at    5.83805116   -7.11030301   -0.35363468)
iface=   8, ipnt= 146: anal=   5.84882814   -7.10651952   -0.35478881, ptrb=   5.84879534   -7.10642050   -0.35471705, dist=   0.00012661 (at    5.84820021   -7.10539243   -0.35576719)
iface=   8, ipnt= 176: anal=   5.57509518   -7.22553322   -0.29469845, ptrb=   5.57507291   -7.22543928   -0.29463659, dist=   0.00011466 (at    5.57371923   -7.22368050   -0.29723133)
iface=   8, ipnt= 177: anal=   5.83616662   -7.11526251   -0.34271799, ptrb=   5.83611744   -7.11517302   -0.34272990, dist=   0.00010281 (at    5.83593344   -7.11542694   -0.34378310)
iface=   8, ipnt= 187: anal=   5.85906075   -7.10327310   -0.35366078, ptrb=   5.85899929   -7.10313097   -0.35361699, dist=   0.00016093 (at    5.85857864   -7.10268741   -0.35475210)
...too many errors to list
    d(Face)/d(twist) check complete with      153 total errors (errmax=  4.9418e-04)
iedge=  20, ipnt=   0: anal=   5.90613412   -7.07864086   -0.36499842, ptrb=   5.90600615   -7.07864086   -0.36547574, dist=   0.00049418 (at    5.90613412   -7.07864085   -0.36499841)
    d(Edge)/d(twist) check complete with        1 total errors (errmax=  4.9418e-04)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at    5.90600615    7.07864086   -0.36547574)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90600615   -7.07864086   -0.36547574, dist=   0.00049418 (at    5.90600615   -7.07864086   -0.36547574)
    d(Node)/d(twist) check complete with        2 total errors (errmax=  4.9418e-04)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt= 106: anal=  10.79353876    7.13396560   -0.32213833, ptrb=  10.79347694    7.13387610   -0.32219195, dist=   0.00012127 (at   10.79345189    7.13504639   -0.32379761)
iface=   4, ipnt= 199: anal=  10.74218304    7.15702020   -0.30241473, ptrb=  10.74212699    7.15693854   -0.30246756, dist=   0.00011226 (at   10.74212079    7.15837767   -0.30436435)
iface=   4, ipnt= 206: anal=  10.83341364    7.11293503   -0.33425540, ptrb=  10.83335209    7.11286042   -0.33432254, dist=   0.00011773 (at   10.83347819    7.11421228   -0.33556730)
iface=   4, ipnt= 223: anal=  10.76937995    7.14158453   -0.30846832, ptrb=  10.76931888    7.14150861   -0.30853843, dist=   0.00012004 (at   10.76947599    7.14336719   -0.31034524)
iface=   4, ipnt= 267: anal=  10.79007521    7.13363313   -0.31806437, ptrb=  10.79001078    7.13354933   -0.31813219, dist=   0.00012559 (at   10.79009848    7.13512018   -0.31982232)
iface=   4, ipnt= 285: anal=  10.71212279    7.16781647   -0.28794605, ptrb=  10.71207043    7.16774534   -0.28800387, dist=   0.00010556 (at   10.71217479    7.16958703   -0.29002837)
iface=   4, ipnt= 333: anal=  10.78544410    7.12988709   -0.31074080, ptrb=  10.78539301    7.12983482   -0.31081002, dist=   0.00010067 (at   10.78573145    7.13200866   -0.31231272)
iface=   4, ipnt= 357: anal=  10.74805025    7.14671338   -0.29616283, ptrb=  10.74799822    7.14665625   -0.29623191, dist=   0.00010365 (at   10.74832030    7.14897498   -0.29802438)
iface=   4, ipnt= 375: anal=  10.79496790    7.13016297   -0.31854447, ptrb=  10.79490487    7.13008610   -0.31861621, dist=   0.00012258 (at   10.79505801    7.13180786   -0.32024595)
iface=   4, ipnt= 444: anal=  10.85859705    7.10256808   -0.34637477, ptrb=  10.85853939    7.10248744   -0.34642187, dist=   0.00010975 (at   10.85855275    7.10322656   -0.34732949)
...too many errors to list
    d(Face)/d(twist) check complete with       31 total errors (errmax=  4.9418e-04)
    d(Edge)/d(twist) check complete with        0 total errors (errmax=  4.9418e-04)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90600615    7.07864086   -0.36547574, dist=   0.00049418 (at   10.90600615    7.07864086   -0.36547574)
    d(Node)/d(twist) check complete with        1 total errors (errmax=  4.9418e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "lesweep"
*********************************************************

Generating perturbed configuration with delta-lesweep[1,1]=   0.03000000
Computing analytic sensitivities (if possible) for ibody=17
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=5, dot=-4.66533e-12
               orig=   5.90609019    7.07849521   -0.36499091
                       5.90629014    7.07849533   -0.36424482
                       5.90472417    7.07396593   -0.36475736
               ptrb=   5.91109414    7.07870154   -0.36500154
                       5.91107330    7.07891154   -0.36532651
                       5.90995976    7.07495077   -0.36480814
          area_orig=   0.00000338   -0.00000107   -0.00000091
          area_ptrb=  -0.00000118    0.00000037    0.00000032
ERROR:: tessel error: wrong Face area for ibody=17, iface=3, itri=73, dot=-1.00437e-13
               orig=   5.90589031    7.07849532   -0.36573701
                       5.90613412    7.07864085   -0.36499841
                       5.90609019    7.07849521   -0.36499091
               ptrb=   5.91083160    7.07849389   -0.36573693
                       5.90613412    7.07864085   -0.36499841
                       5.91109414    7.07870154   -0.36500154
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000005    0.00000365   -0.00000101
ERROR:: tessel error: wrong Face area for ibody=17, iface=4, itri=150, dot=-4.36936e-11
               orig=   5.90613412    7.07864085   -0.36499841
                       5.90589031    7.07849532   -0.36573701
                       5.90062856    7.08157006   -0.36360759
               ptrb=   5.90613412    7.07864085   -0.36499841
                       5.91083160    7.07849389   -0.36573693
                       5.90557009    7.08156768   -0.36361351
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000196   -0.00000609    0.00001367
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=0, dot=-1.90045e-13
               orig=   5.90613412   -7.07864085   -0.36499841
                       5.90589031   -7.07849532   -0.36573701
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.90613412   -7.07864085   -0.36499841
                       5.91042155   -7.07807625   -0.36677563
                       5.91095985   -7.07825626   -0.36497858
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=   0.00000069   -0.00000866   -0.00000108
ERROR:: tessel error: wrong Face area for ibody=17, iface=7, itri=73, dot=-5.35783e-14
               orig=   5.90629014   -7.07849533   -0.36424482
                       5.90613412   -7.07864085   -0.36499841
                       5.90609019   -7.07849521   -0.36499091
               ptrb=   5.91123143   -7.07849390   -0.36424474
                       5.90613412   -7.07864085   -0.36499841
                       5.91095985   -7.07825626   -0.36497858
          area_orig=   0.00000011    0.00000003   -0.00000003
          area_ptrb=   0.00000029   -0.00000354   -0.00000125
ERROR:: tessel error: wrong Face area for ibody=17, iface=8, itri=328, dot=-7.66508e-12
               orig=   5.90613412   -7.07864085   -0.36499841
                       5.90629014   -7.07849533   -0.36424482
                       5.90104355   -7.08131416   -0.36387232
               ptrb=   5.90613412   -7.07864085   -0.36499841
                       5.91123143   -7.07849390   -0.36424474
                       5.90550423   -7.08113203   -0.36545964
          area_orig=   0.00000218   -0.00000401    0.00000032
          area_ptrb=   0.00000181    0.00000188   -0.00001261
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   3, ipnt=  36: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91118589    7.07858160   -0.36452377, dist=   0.00024031 (at    5.90635241    7.07806438   -0.36350517)
iface=   3, ipnt=  37: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at    5.90629014    7.07849533   -0.36424482)
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  27: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91116514    7.07857933   -0.36443055, dist=   0.00021880 (at    5.90635241    7.07806438   -0.36350517)
iface=   4, ipnt=  28: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91095163    7.07864668   -0.36525159, dist=   0.00030094 (at    5.90629014    7.07849533   -0.36424482)
iface=   4, ipnt=  29: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90636644    7.07954310   -0.36614457, dist=   0.00147706 (at    5.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  56: anal=   5.56136888    7.24122965   -0.27037627, ptrb=   5.56129337    7.24100841   -0.27033090, dist=   0.00023812 (at    5.55755135    7.24126070   -0.26588579)
iface=   4, ipnt=  57: anal=   5.66112780    7.19955555   -0.29847537, ptrb=   5.66104011    7.19931863   -0.29841915, dist=   0.00025881 (at    5.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  60: anal=   5.51147133    7.26070466   -0.25602548, ptrb=   5.51140503    7.26050172   -0.25598703, dist=   0.00021693 (at    5.50765548    7.26073951   -0.25149908)
iface=   4, ipnt=  61: anal=   5.46152224    7.27926465   -0.24149123, ptrb=   5.46146544    7.27908229   -0.24145939, dist=   0.00019364 (at    5.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62: anal=   5.41148677    7.29689025   -0.22677869, ptrb=   5.41143908    7.29672880   -0.22675279, dist=   0.00017034 (at    5.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63: anal=   5.36132482    7.31355012   -0.21188826, ptrb=   5.36128547    7.31340877   -0.21186749, dist=   0.00014819 (at    5.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64: anal=   5.31099009    7.32920023   -0.19681673, ptrb=   5.31095820    7.32907758   -0.19680029, dist=   0.00012779 (at    5.30702511    7.32925043   -0.19273917)
...too many errors to list
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.91107699   -7.07863939   -0.36499834, dist=   0.00494288 (at    5.90613412   -7.07864085   -0.36499841)
iface=   7, ipnt=  71: anal=   5.91042155   -7.07807625   -0.36677563, ptrb=   5.91041710   -7.07790903   -0.36659944, dist=   0.00024295 (at    5.90589031   -7.07849532   -0.36573701)
iface=   7, ipnt=  72: anal=   5.91006798   -7.07736091   -0.36725201, ptrb=   5.91010765   -7.07733498   -0.36707709, dist=   0.00018123 (at    5.90556810   -7.07806437   -0.36643221)
iface=   8, ipnt=   5: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90636644   -7.07954310   -0.36614457, dist=   0.00147706 (at    5.90613412   -7.07864085   -0.36499841)
iface=   8, ipnt=   6: anal=   5.91042155   -7.07807625   -0.36677563, ptrb=   5.91037866   -7.07792170   -0.36659770, dist=   0.00023954 (at    5.90589031   -7.07849532   -0.36573701)
iface=   8, ipnt=   7: anal=   5.91006798   -7.07736091   -0.36725201, ptrb=   5.91005116   -7.07727980   -0.36711845, dist=   0.00015716 (at    5.90556810   -7.07806437   -0.36643221)
iface=   8, ipnt=  60: anal=   5.60797510   -7.18719459   -0.32650192, ptrb=   5.60795102   -7.18688691   -0.32600720, dist=   0.00058309 (at    5.60742001   -7.19478312   -0.32026072)
iface=   8, ipnt=  63: anal=   5.12438209   -7.37460871   -0.11069616, ptrb=   5.12435479   -7.37451085   -0.11071998, dist=   0.00010436 (at    5.11979795   -7.37331133   -0.10658015)
iface=   8, ipnt=  65: anal=   5.47138523   -7.27594003   -0.22553262, ptrb=   5.47127437   -7.27567251   -0.22557598, dist=   0.00029281 (at    5.46710845   -7.27411607   -0.21998790)
iface=   8, ipnt=  69: anal=   5.26035762   -7.34268143   -0.15572687, ptrb=   5.26030637   -7.34253138   -0.15575931, dist=   0.00016185 (at    5.25590091   -7.34113846   -0.15092572)
iface=   8, ipnt=  74: anal=   5.43806402   -7.26969432   -0.27180070, ptrb=   5.43801720   -7.26936584   -0.27152596, dist=   0.00043078 (at    5.43648272   -7.27381574   -0.26502141)
iface=   8, ipnt=  76: anal=   5.67779346   -7.18523929   -0.31894098, ptrb=   5.67759930   -7.18447288   -0.31835972, dist=   0.00098130 (at    5.67588950   -7.18802404   -0.31111034)
iface=   8, ipnt=  78: anal=   5.89611469   -7.08104796   -0.36654953, ptrb=   5.89610674   -7.08098365   -0.36639664, dist=   0.00016606 (at    5.89194954   -7.08262313   -0.36550822)
...too many errors to list
    d(Face)/d(lesweep) check complete with      604 total errors (errmax=  4.9429e-03)
iedge=   9, ipnt=   3: anal=   5.91127579    7.07876515   -0.36439737, ptrb=   5.91120091    7.07856013   -0.36444236, dist=   0.00022285 (at    5.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4: anal=   5.91107330    7.07891154   -0.36532651, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at    5.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   5: anal=   5.91074447    7.07863938   -0.36623376, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00127939 (at    5.90613412    7.07864085   -0.36499841)
iedge=  20, ipnt=   0: anal=   5.91074447   -7.07863938   -0.36623376, ptrb=   5.91070395   -7.07834358   -0.36604160, dist=   0.00035506 (at    5.90613412   -7.07864085   -0.36499841)
iedge=  20, ipnt=   1: anal=   5.91042155   -7.07807625   -0.36677563, ptrb=   5.91041506   -7.07790556   -0.36660295, dist=   0.00024289 (at    5.90589031   -7.07849532   -0.36573701)
iedge=  20, ipnt=   2: anal=   5.91006798   -7.07736091   -0.36725201, ptrb=   5.91007519   -7.07726989   -0.36712144, dist=   0.00015932 (at    5.90556810   -7.07806437   -0.36643221)
    d(Edge)/d(lesweep) check complete with        6 total errors (errmax=  1.2794e-03)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at    5.91107699    7.07863939   -0.36499834)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.91107699   -7.07863939   -0.36499834, dist=   0.00494288 (at    5.91107699   -7.07863939   -0.36499834)
    d(Node)/d(lesweep) check complete with        2 total errors (errmax=  4.9429e-03)
Computing analytic sensitivities (if possible) for ibody=19
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=5, dot=-4.66533e-12
               orig=  10.90609019    7.07849521   -0.36499091
                      10.90629014    7.07849533   -0.36424482
                      10.90472417    7.07396593   -0.36475736
               ptrb=  10.91109414    7.07870154   -0.36500154
                      10.91107330    7.07891154   -0.36532651
                      10.90995976    7.07495077   -0.36480814
          area_orig=   0.00000338   -0.00000107   -0.00000091
          area_ptrb=  -0.00000118    0.00000037    0.00000032
ERROR:: tessel error: wrong Face area for ibody=19, iface=3, itri=73, dot=-1.00437e-13
               orig=  10.90589031    7.07849532   -0.36573701
                      10.90613412    7.07864085   -0.36499841
                      10.90609019    7.07849521   -0.36499091
               ptrb=  10.91083160    7.07849389   -0.36573693
                      10.90613412    7.07864085   -0.36499841
                      10.91109414    7.07870154   -0.36500154
          area_orig=   0.00000011   -0.00000003   -0.00000003
          area_ptrb=  -0.00000005    0.00000365   -0.00000101
ERROR:: tessel error: wrong Face area for ibody=19, iface=4, itri=150, dot=-4.36936e-11
               orig=  10.90613412    7.07864085   -0.36499841
                      10.90589031    7.07849532   -0.36573701
                      10.90062856    7.08157006   -0.36360759
               ptrb=  10.90613412    7.07864085   -0.36499841
                      10.91083160    7.07849389   -0.36573693
                      10.90557009    7.08156768   -0.36361351
          area_orig=   0.00000196    0.00000441   -0.00000152
          area_ptrb=   0.00000196   -0.00000609    0.00001367
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   3, ipnt=  36: anal=  10.91127579    7.07876515   -0.36439737, ptrb=  10.91118589    7.07858160   -0.36452377, dist=   0.00024031 (at   10.90635241    7.07806438   -0.36350517)
iface=   3, ipnt=  37: anal=  10.91107330    7.07891154   -0.36532651, ptrb=  10.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at   10.90629014    7.07849533   -0.36424482)
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  27: anal=  10.91127579    7.07876515   -0.36439737, ptrb=  10.91116514    7.07857933   -0.36443055, dist=   0.00021880 (at   10.90635241    7.07806438   -0.36350517)
iface=   4, ipnt=  28: anal=  10.91107330    7.07891154   -0.36532651, ptrb=  10.91095163    7.07864668   -0.36525159, dist=   0.00030094 (at   10.90629014    7.07849533   -0.36424482)
iface=   4, ipnt=  29: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90636644    7.07954310   -0.36614457, dist=   0.00147706 (at   10.90613412    7.07864085   -0.36499841)
iface=   4, ipnt=  56: anal=  10.56136888    7.24122965   -0.27037627, ptrb=  10.56129337    7.24100841   -0.27033090, dist=   0.00023812 (at   10.55755135    7.24126070   -0.26588579)
iface=   4, ipnt=  57: anal=  10.66112780    7.19955555   -0.29847537, ptrb=  10.66104011    7.19931863   -0.29841915, dist=   0.00025881 (at   10.65721468    7.19957900   -0.29440581)
iface=   4, ipnt=  60: anal=  10.51147133    7.26070466   -0.25602548, ptrb=  10.51140503    7.26050172   -0.25598703, dist=   0.00021693 (at   10.50765548    7.26073951   -0.25149908)
iface=   4, ipnt=  61: anal=  10.46152224    7.27926465   -0.24149123, ptrb=  10.46146544    7.27908229   -0.24145939, dist=   0.00019364 (at   10.45768756    7.27930331   -0.23700661)
iface=   4, ipnt=  62: anal=  10.41148677    7.29689025   -0.22677869, ptrb=  10.41143908    7.29672880   -0.22675279, dist=   0.00017034 (at   10.40761832    7.29693274   -0.22239269)
iface=   4, ipnt=  63: anal=  10.36132482    7.31355012   -0.21188826, ptrb=  10.36128547    7.31340877   -0.21186749, dist=   0.00014819 (at   10.35741187    7.31359646   -0.20764189)
iface=   4, ipnt=  64: anal=  10.31099009    7.32920023   -0.19681673, ptrb=  10.31095820    7.32907758   -0.19680029, dist=   0.00012779 (at   10.30702511    7.32925043   -0.19273917)
...too many errors to list
    d(Face)/d(lesweep) check complete with      266 total errors (errmax=  4.9429e-03)
iedge=   9, ipnt=   3: anal=  10.91127579    7.07876515   -0.36439737, ptrb=  10.91120091    7.07856013   -0.36444236, dist=   0.00022285 (at   10.90635241    7.07806438   -0.36350517)
iedge=   9, ipnt=   4: anal=  10.91107330    7.07891154   -0.36532651, ptrb=  10.91107699    7.07863939   -0.36499834, dist=   0.00042635 (at   10.90629014    7.07849533   -0.36424482)
iedge=   9, ipnt=   5: anal=  10.91074447    7.07863938   -0.36623376, ptrb=  10.91107699    7.07863939   -0.36499834, dist=   0.00127939 (at   10.90613412    7.07864085   -0.36499841)
    d(Edge)/d(lesweep) check complete with        3 total errors (errmax=  1.2794e-03)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.91107699    7.07863939   -0.36499834, dist=   0.00494288 (at   10.91107699    7.07863939   -0.36499834)
    d(Node)/d(lesweep) check complete with        1 total errors (errmax=  4.9429e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "dihedral"
*********************************************************

Generating perturbed configuration with delta-dihedral[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
iface=   3, ipnt=  38: anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412    7.07864085   -0.36499841)
iface=   7, ipnt=  70: anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90613412   -7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412   -7.07864085   -0.36499841)
    d(Face)/d(dihedral) check complete with        2 total errors (errmax=  1.2358e-04)
iedge=   9, ipnt=   5: anal=   5.90610322    7.07864085   -0.36499014, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00011937 (at    5.90613412    7.07864085   -0.36499841)
    d(Edge)/d(dihedral) check complete with        1 total errors (errmax=  1.1937e-04)
inode=   7:            anal=   5.90613412    7.07864085   -0.36499841, ptrb=   5.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412    7.07864085   -0.36487483)
inode=  11:            anal=   5.90613412   -7.07864085   -0.36499841, ptrb=   5.90613412   -7.07864085   -0.36487483, dist=   0.00012358 (at    5.90613412   -7.07864085   -0.36487483)
    d(Node)/d(dihedral) check complete with        2 total errors (errmax=  1.2358e-04)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
iface=   3, ipnt=  38: anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at   10.90613412    7.07864085   -0.36499841)
    d(Face)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-04)
iedge=   9, ipnt=   5: anal=  10.90610322    7.07864085   -0.36499014, ptrb=  10.90613412    7.07864085   -0.36487483, dist=   0.00011937 (at   10.90613412    7.07864085   -0.36499841)
    d(Edge)/d(dihedral) check complete with        1 total errors (errmax=  1.1937e-04)
inode=   7:            anal=  10.90613412    7.07864085   -0.36499841, ptrb=  10.90613412    7.07864085   -0.36487483, dist=   0.00012358 (at   10.90613412    7.07864085   -0.36487483)
    d(Node)/d(dihedral) check complete with        1 total errors (errmax=  1.2358e-04)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_r"
*********************************************************

Generating perturbed configuration with delta-thick_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4678e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_r) check complete with        0 total errors (errmax=  9.4727e-05)
    d(Edge)/d(thick_r) check complete with        0 total errors (errmax=  6.1068e-06)
    d(Node)/d(thick_r) check complete with        0 total errors (errmax=  3.9622e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_r"
*********************************************************

Generating perturbed configuration with delta-camber_r[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3320e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_r) check complete with        0 total errors (errmax=  4.3320e-05)
    d(Edge)/d(camber_r) check complete with        0 total errors (errmax=  4.4215e-06)
    d(Node)/d(camber_r) check complete with        0 total errors (errmax=  1.4735e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "thick_t"
*********************************************************

Generating perturbed configuration with delta-thick_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.8950e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  1.0699e-06)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  3.9598e-05)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(thick_t) check complete with        0 total errors (errmax=  9.9103e-05)
    d(Edge)/d(thick_t) check complete with        0 total errors (errmax=  1.0699e-06)
    d(Node)/d(thick_t) check complete with        0 total errors (errmax=  3.9598e-05)
 

*********************************************************
Starting tessellation sensitivity wrt "camber_t"
*********************************************************

Generating perturbed configuration with delta-camber_t[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.8613e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0083e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(camber_t) check complete with        0 total errors (errmax=  2.8613e-05)
    d(Edge)/d(camber_t) check complete with        0 total errors (errmax=  1.0083e-06)
    d(Node)/d(camber_t) check complete with        0 total errors (errmax=  2.1999e-08)
 

*********************************************************
Starting tessellation sensitivity wrt "tiprad"
*********************************************************

Generating perturbed configuration with delta-tiprad[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
    d(Edge)/d(tiprad) check complete with        0 total errors (errmax=  2.1399e-07)
    d(Node)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
    d(Edge)/d(tiprad) check complete with        0 total errors (errmax=  2.1399e-07)
    d(Node)/d(tiprad) check complete with        0 total errors (errmax=  7.9196e-06)
 

*********************************************************
Starting tessellation sensitivity wrt "dxwing"
*********************************************************

Generating perturbed configuration with delta-dxwing[1,1]=   0.00500000
Computing analytic sensitivities (if possible) for ibody=17
Computing distances of perturbed points from perturbed configuration for ibody=17
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  3.0325e-08)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing distances of perturbed points from perturbed configuration for ibody=19
    d(Face)/d(dxwing) check complete with        0 total errors (errmax=  3.0325e-08)
    d(Edge)/d(dxwing) check complete with        0 total errors (errmax=  3.5527e-15)
    d(Node)/d(dxwing) check complete with        0 total errors (errmax=  1.7764e-15)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->     12.606 sec

Sensitivity checks complete with     1805 total errors (max tessel err=  4.9429e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designH1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "X"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "X" for ibody=3
    d(Face)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(X) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(X) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "Y" for ibody=3
    d(Face)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "Z" for ibody=3
    d(Face)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.025 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.2267e-11) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designH1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "X"
*********************************************************

Generating perturbed configuration with delta-X[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Y"
*********************************************************

Generating perturbed configuration with delta-Y[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Z"
*********************************************************

Generating perturbed configuration with delta-Z[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.162 sec

Sensitivity checks complete with        0 total errors (max tessel err=  2.0000e-20) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designH2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "X"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "X" for ibody=4
    d(Face)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
    d(Edge)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  4, inode=  9
Tests suppressed for ibody=  4, inode= 10
Tests suppressed for ibody=  4, inode= 11
Tests suppressed for ibody=  4, inode= 12
    d(Node)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "Y" for ibody=4
    d(Face)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  4, inode=  9
Tests suppressed for ibody=  4, inode= 10
Tests suppressed for ibody=  4, inode= 11
Tests suppressed for ibody=  4, inode= 12
    d(Node)/d(Y) check complete with        0 total errors (errmax=  8.2267e-11)
 

*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "Z" for ibody=4
    d(Face)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  4, inode=  9
Tests suppressed for ibody=  4, inode= 10
Tests suppressed for ibody=  4, inode= 11
Tests suppressed for ibody=  4, inode= 12
    d(Node)/d(Z) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.004 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.2267e-11) with 24 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designH2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "X"
*********************************************************

Generating perturbed configuration with delta-X[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(X) check complete with        0 total errors (errmax=  0.0000e+00)
inode=   9:            anal=   1.00000000    0.00000000    0.00000000, ptrb=   1.00100000    0.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    0.00000000)
inode=  10:            anal=   1.00000000    0.00000000    1.00000000, ptrb=   1.00100000    0.00000000    1.00000000, dist=   0.00100000 (at    1.00100000    0.00000000    1.00000000)
inode=  11:            anal=   1.00000000    1.00000000    0.00000000, ptrb=   1.00100000    1.00000000    0.00000000, dist=   0.00100000 (at    1.00100000    1.00000000    0.00000000)
inode=  12:            anal=   1.00000000    1.00000000    1.00000000, ptrb=   1.00100000    1.00000000    1.00000000, dist=   0.00100000 (at    1.00100000    1.00000000    1.00000000)
    d(Node)/d(X) check complete with        4 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "Y"
*********************************************************

Generating perturbed configuration with delta-Y[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "Z"
*********************************************************

Generating perturbed configuration with delta-Z[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iedge= 10
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.145 sec

Sensitivity checks complete with        4 total errors (max tessel err=  1.0000e-03) with 12 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designH3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "Y" for ibody=4
Tests suppressed for ibody=  4, iface=  6
Tests suppressed for ibody=  4, iface=  8
Tests suppressed for ibody=  4, iface=  9
    d(Face)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, iedge=  6
Tests suppressed for ibody=  4, iedge= 11
Tests suppressed for ibody=  4, iedge= 12
Tests suppressed for ibody=  4, iedge= 13
Tests suppressed for ibody=  4, iedge= 14
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Tests suppressed for ibody=  4, iedge= 21
Tests suppressed for ibody=  4, iedge= 22
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, inode=  5
Tests suppressed for ibody=  4, inode=  6
Tests suppressed for ibody=  4, inode=  7
Tests suppressed for ibody=  4, inode=  8
Tests suppressed for ibody=  4, inode=  9
Tests suppressed for ibody=  4, inode= 10
Tests suppressed for ibody=  4, inode= 13
Tests suppressed for ibody=  4, inode= 14
    d(Node)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.010 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 21 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designH3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Y"
*********************************************************

Generating perturbed configuration with delta-Y[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iface=  6
Tests suppressed for ibody=  4, iface=  8
Tests suppressed for ibody=  4, iface=  9
Tests suppressed for ibody=  4, iedge=  6
Tests suppressed for ibody=  4, iedge= 11
Tests suppressed for ibody=  4, iedge= 12
Tests suppressed for ibody=  4, iedge= 13
Tests suppressed for ibody=  4, iedge= 14
Tests suppressed for ibody=  4, iedge= 15
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Tests suppressed for ibody=  4, iedge= 21
Tests suppressed for ibody=  4, iedge= 22
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   7, ipnt=   0: anal=   1.00000000    2.00000000    0.00000000, ptrb=   1.00000000    2.00200000    0.00000000, dist=   0.00200000 (at    1.00000000    2.00000000    0.00000000)
iface=  18, ipnt=  48: anal=   1.00000000    3.00000000    3.00000000, ptrb=   1.00000000    3.00200000    3.00000000, dist=   0.00200000 (at    1.00000000    3.00000000    3.00000000)
    d(Face)/d(Y) check complete with        2 total errors (errmax=  2.0000e-03)
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  3.1402e-19)
inode=   5:            anal=   0.00000000    2.00000000    0.00000000, ptrb=   0.00000000    2.00200000    0.00000000, dist=   0.00200000 (at    0.00000000    2.00200000    0.00000000)
inode=   6:            anal=   1.00000000    2.00000000    0.00000000, ptrb=   1.00000000    2.00200000    0.00000000, dist=   0.00200000 (at    1.00000000    2.00200000    0.00000000)
inode=  13:            anal=   0.00000000    3.00000000    3.00000000, ptrb=   0.00000000    3.00200000    3.00000000, dist=   0.00200000 (at    0.00000000    3.00200000    3.00000000)
inode=  14:            anal=   1.00000000    3.00000000    3.00000000, ptrb=   1.00000000    3.00200000    3.00000000, dist=   0.00200000 (at    1.00000000    3.00200000    3.00000000)
    d(Node)/d(Y) check complete with        4 total errors (errmax=  2.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.017 sec

Sensitivity checks complete with        6 total errors (max tessel err=  2.0000e-03) with 13 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designH4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "Y" for ibody=4
Tests suppressed for ibody=  4, iface=  5
Tests suppressed for ibody=  4, iface= 11
    d(Face)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, iedge= 17
Tests suppressed for ibody=  4, iedge= 18
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, inode= 13
Tests suppressed for ibody=  4, inode= 14
Tests suppressed for ibody=  4, inode= 15
Tests suppressed for ibody=  4, inode= 16
    d(Node)/d(Y) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "Z" for ibody=4
Tests suppressed for ibody=  4, iface=  5
Tests suppressed for ibody=  4, iface= 11
    d(Face)/d(Z) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, iedge= 17
Tests suppressed for ibody=  4, iedge= 18
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  4, inode= 13
Tests suppressed for ibody=  4, inode= 14
Tests suppressed for ibody=  4, inode= 15
Tests suppressed for ibody=  4, inode= 16
    d(Node)/d(Z) check complete with        0 total errors (errmax=  1.3978e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.011 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 20 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designH4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "Y"
*********************************************************

Generating perturbed configuration with delta-Y[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iface=  5
Tests suppressed for ibody=  4, iface= 11
Tests suppressed for ibody=  4, iedge= 17
Tests suppressed for ibody=  4, iedge= 18
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Y) check complete with        0 total errors (errmax=  0.0000e+00)
inode=  13:            anal=   0.00000000    3.00000000    2.00000000, ptrb=   0.00000000    3.00200000    2.00000000, dist=   0.00200000 (at    0.00000000    3.00200000    2.00000000)
inode=  16:            anal=   0.00000000    3.00000000    1.00000000, ptrb=   0.00000000    3.00200000    1.00000000, dist=   0.00200000 (at    0.00000000    3.00200000    1.00000000)
    d(Node)/d(Y) check complete with        2 total errors (errmax=  2.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "Z"
*********************************************************

Generating perturbed configuration with delta-Z[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Tests suppressed for ibody=  4, iface=  5
Tests suppressed for ibody=  4, iface= 11
Tests suppressed for ibody=  4, iedge= 17
Tests suppressed for ibody=  4, iedge= 18
Tests suppressed for ibody=  4, iedge= 19
Tests suppressed for ibody=  4, iedge= 20
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(Z) check complete with        0 total errors (errmax=  0.0000e+00)
inode=  15:            anal=   0.00000000    2.00000000    1.00000000, ptrb=   0.00000000    2.00000000    1.00100000, dist=   0.00100000 (at    0.00000000    2.00000000    1.00100000)
inode=  16:            anal=   0.00000000    3.00000000    1.00000000, ptrb=   0.00000000    3.00000000    1.00100000, dist=   0.00100000 (at    0.00000000    3.00000000    1.00100000)
    d(Node)/d(Z) check complete with        2 total errors (errmax=  1.0000e-03)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.437 sec

Sensitivity checks complete with        4 total errors (max tessel err=  2.0000e-03) with 12 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designI1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "XSIZE" for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "YSIZE" for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DX" for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
 

*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "RAD" for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  4.2581e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
 

*********************************************************
Starting configuration sensitivity wrt "ROUND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ROUND" for ibody=4
    d(Face)/d(ROUND) check complete with        0 total errors (errmax=  4.1159e-11)
    d(Edge)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "SCALE" for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.040 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.4305e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designI1.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XSIZE"
*********************************************************

Generating perturbed configuration with delta-XSIZE[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "YSIZE"
*********************************************************

Generating perturbed configuration with delta-YSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ZSIZE"
*********************************************************

Generating perturbed configuration with delta-ZSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  8.9498e-16)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3368e-15)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "RAD"
*********************************************************

Generating perturbed configuration with delta-RAD[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  8.9505e-16)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
 

*********************************************************
Starting tessellation sensitivity wrt "ROUND"
*********************************************************

Generating perturbed configuration with delta-ROUND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ROUND) check complete with        0 total errors (errmax=  8.9498e-16)
    d(Edge)/d(ROUND) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "SCALE"
*********************************************************

Generating perturbed configuration with delta-SCALE[1,1]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.9056e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.2377e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.526 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.0000e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designI2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "XSIZE" for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "YSIZE" for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DX" for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-11)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.5511e-11)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "RAD" for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  4.1254e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
 

*********************************************************
Starting configuration sensitivity wrt "ROUND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ROUND" for ibody=4
    d(Face)/d(ROUND) check complete with        0 total errors (errmax=  3.1836e-11)
    d(Edge)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "SCALE" for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.044 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.3786e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designI2.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XSIZE"
*********************************************************

Generating perturbed configuration with delta-XSIZE[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  4.4796e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.3878e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "YSIZE"
*********************************************************

Generating perturbed configuration with delta-YSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  6.6671e-16)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ZSIZE"
*********************************************************

Generating perturbed configuration with delta-ZSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  6.6671e-16)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  4.4755e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3323e-15)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "RAD"
*********************************************************

Generating perturbed configuration with delta-RAD[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  6.6671e-16)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
 

*********************************************************
Starting tessellation sensitivity wrt "ROUND"
*********************************************************

Generating perturbed configuration with delta-ROUND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ROUND) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(ROUND) check complete with        0 total errors (errmax=  6.6671e-16)
    d(Node)/d(ROUND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "SCALE"
*********************************************************

Generating perturbed configuration with delta-SCALE[1,1]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  4.4883e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  9.4410e-16)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.7756e-17)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.527 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.7764e-15) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designI3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "XSIZE" for ibody=5
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "YSIZE" for ibody=5
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "ZSIZE" for ibody=5
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DX" for ibody=5
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
 

*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "RAD" for ibody=5
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  3.7416e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
 

*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "SCALE" for ibody=5
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.039 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.4305e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designI3.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XSIZE"
*********************************************************

Generating perturbed configuration with delta-XSIZE[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "YSIZE"
*********************************************************

Generating perturbed configuration with delta-YSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ZSIZE"
*********************************************************

Generating perturbed configuration with delta-ZSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(DX) check complete with        0 total errors (errmax=  8.9034e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "RAD"
*********************************************************

Generating perturbed configuration with delta-RAD[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
 

*********************************************************
Starting tessellation sensitivity wrt "SCALE"
*********************************************************

Generating perturbed configuration with delta-SCALE[1,1]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.9509e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.8991e-16)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.2377e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.300 sec

Sensitivity checks complete with        0 total errors (max tessel err=  1.7772e-15) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designI4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "XSIZE" for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "XSIZE" for ibody=8
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  5.3786e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "XSIZE" for ibody=13
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  1.8754e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "YSIZE" for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "YSIZE" for ibody=8
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "YSIZE" for ibody=13
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "ZSIZE" for ibody=8
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "ZSIZE" for ibody=13
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  9.3769e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DX" for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "DX" for ibody=8
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-11)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.5511e-11)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "DX" for ibody=13
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  2.5655e-10)
 

*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "RAD" for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  4.2581e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "RAD" for ibody=8
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  4.1254e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "RAD" for ibody=13
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  3.7416e-11)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  3.4507e-11)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  6.7513e-12)
 

*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "SCALE" for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8

Comparing configuration sensitivities wrt "SCALE" for ibody=8
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13

Comparing configuration sensitivities wrt "SCALE" for ibody=13
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  8.4305e-10)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.084 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  8.4305e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designI4.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XSIZE"
*********************************************************

Generating perturbed configuration with delta-XSIZE[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  2.2204e-16)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(XSIZE) check complete with        0 total errors (errmax=  8.9012e-16)
    d(Edge)/d(XSIZE) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(XSIZE) check complete with        0 total errors (errmax=  2.2204e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "YSIZE"
*********************************************************

Generating perturbed configuration with delta-YSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Edge)/d(YSIZE) check complete with        0 total errors (errmax=  3.0000e-08)
    d(Node)/d(YSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "ZSIZE"
*********************************************************

Generating perturbed configuration with delta-ZSIZE[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  8.9498e-16)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(ZSIZE) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Node)/d(ZSIZE) check complete with        0 total errors (errmax=  1.1102e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00150000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3368e-15)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  8.8818e-16)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3368e-15)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  8.8818e-16)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3368e-15)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  8.8818e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "RAD"
*********************************************************

Generating perturbed configuration with delta-RAD[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  8.9505e-16)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  1.7764e-15)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  8.8818e-16)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(RAD) check complete with        0 total errors (errmax=  1.7772e-15)
    d(Edge)/d(RAD) check complete with        0 total errors (errmax=  1.7766e-15)
    d(Node)/d(RAD) check complete with        0 total errors (errmax=  4.6017e-20)
 

*********************************************************
Starting tessellation sensitivity wrt "SCALE"
*********************************************************

Generating perturbed configuration with delta-SCALE[1,1]=   0.00120000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.9056e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.2377e-16)
Computing analytic sensitivities (if possible) for ibody=8
Computing distances of perturbed points from perturbed configuration for ibody=8
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.9056e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.2377e-16)
Computing analytic sensitivities (if possible) for ibody=13
Computing distances of perturbed points from perturbed configuration for ibody=13
    d(Face)/d(SCALE) check complete with        0 total errors (errmax=  8.9509e-16)
    d(Edge)/d(SCALE) check complete with        0 total errors (errmax=  1.3326e-15)
    d(Node)/d(SCALE) check complete with        0 total errors (errmax=  2.2377e-16)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      3.516 sec

Sensitivity checks complete with        0 total errors (max tessel err=  3.0000e-08) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.605 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.1398e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4755e-16)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.560 sec

Sensitivity checks complete with        0 total errors (max tessel err=  5.5512e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.1721e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.1721e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.1721e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.577 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.1721e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4755e-16)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.551 sec

Sensitivity checks complete with        0 total errors (max tessel err=  5.5512e-16) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.1398e-10)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.027 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.1398e-10) with 9 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1c.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.2204e-16)
iedge=   3, ipnt=   0: anal=  -1.50000000   -1.00000000    1.00000000, ptrb=  -1.50150000   -1.00000000    1.00000000, dist=   0.00150000 (at   -1.50000000   -1.00000000    1.00000000)
iedge=   3, ipnt=   1: anal=  -1.50000000   -0.93750000    1.00000000, ptrb=  -1.50150000   -0.93750000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.93750000    1.00000000)
iedge=   3, ipnt=   2: anal=  -1.50000000   -0.87500000    1.00000000, ptrb=  -1.50150000   -0.87500000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.87500000    1.00000000)
iedge=   3, ipnt=   3: anal=  -1.50000000   -0.81250000    1.00000000, ptrb=  -1.50150000   -0.81250000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.81250000    1.00000000)
iedge=   3, ipnt=   4: anal=  -1.50000000   -0.75000000    1.00000000, ptrb=  -1.50150000   -0.75000000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.75000000    1.00000000)
iedge=   3, ipnt=   5: anal=  -1.50000000   -0.68750000    1.00000000, ptrb=  -1.50150000   -0.68750000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.68750000    1.00000000)
iedge=   3, ipnt=   6: anal=  -1.50000000   -0.62500000    1.00000000, ptrb=  -1.50150000   -0.62500000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.62500000    1.00000000)
iedge=   3, ipnt=   7: anal=  -1.50000000   -0.56250000    1.00000000, ptrb=  -1.50150000   -0.56250000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.56250000    1.00000000)
iedge=   3, ipnt=   8: anal=  -1.50000000   -0.50000000    1.00000000, ptrb=  -1.50150000   -0.50000000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.50000000    1.00000000)
iedge=   3, ipnt=   9: anal=  -1.50000000   -0.43750000    1.00000000, ptrb=  -1.50150000   -0.43750000    1.00000000, dist=   0.00150000 (at   -1.50000000   -0.43750000    1.00000000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.50000000   -1.00000000    1.00000000, ptrb=   1.50150000   -1.00000000    1.00000000, dist=   0.00150000 (at    1.50000000   -1.00000000    1.00000000)
iedge=   4, ipnt=   1: anal=   1.50000000   -0.93750000    1.00000000, ptrb=   1.50150000   -0.93750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.93750000    1.00000000)
iedge=   4, ipnt=   2: anal=   1.50000000   -0.87500000    1.00000000, ptrb=   1.50150000   -0.87500000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.87500000    1.00000000)
iedge=   4, ipnt=   3: anal=   1.50000000   -0.81250000    1.00000000, ptrb=   1.50150000   -0.81250000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.81250000    1.00000000)
iedge=   4, ipnt=   4: anal=   1.50000000   -0.75000000    1.00000000, ptrb=   1.50150000   -0.75000000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.75000000    1.00000000)
iedge=   4, ipnt=   5: anal=   1.50000000   -0.68750000    1.00000000, ptrb=   1.50150000   -0.68750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.68750000    1.00000000)
iedge=   4, ipnt=   6: anal=   1.50000000   -0.62500000    1.00000000, ptrb=   1.50150000   -0.62500000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.62500000    1.00000000)
iedge=   4, ipnt=   7: anal=   1.50000000   -0.56250000    1.00000000, ptrb=   1.50150000   -0.56250000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.56250000    1.00000000)
iedge=   4, ipnt=   8: anal=   1.50000000   -0.50000000    1.00000000, ptrb=   1.50150000   -0.50000000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.50000000    1.00000000)
iedge=   4, ipnt=   9: anal=   1.50000000   -0.43750000    1.00000000, ptrb=   1.50150000   -0.43750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.43750000    1.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with       66 total errors (errmax=  1.5000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
iedge=   1, ipnt=   0: anal=  -1.50000000   -1.00000000    1.00000000, ptrb=  -1.50000000   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.50000000   -1.00000000    1.00000000)
iedge=   1, ipnt=   1: anal=  -1.45312500   -1.00000000    1.00000000, ptrb=  -1.45312500   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.45312500   -1.00000000    1.00000000)
iedge=   1, ipnt=   2: anal=  -1.40625000   -1.00000000    1.00000000, ptrb=  -1.40625000   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.40625000   -1.00000000    1.00000000)
iedge=   1, ipnt=   3: anal=  -1.35937500   -1.00000000    1.00000000, ptrb=  -1.35937500   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.35937500   -1.00000000    1.00000000)
iedge=   1, ipnt=   4: anal=  -1.31250000   -1.00000000    1.00000000, ptrb=  -1.31250000   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.31250000   -1.00000000    1.00000000)
iedge=   1, ipnt=   5: anal=  -1.26562500   -1.00000000    1.00000000, ptrb=  -1.26562500   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.26562500   -1.00000000    1.00000000)
iedge=   1, ipnt=   6: anal=  -1.21875000   -1.00000000    1.00000000, ptrb=  -1.21875000   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.21875000   -1.00000000    1.00000000)
iedge=   1, ipnt=   7: anal=  -1.17187500   -1.00000000    1.00000000, ptrb=  -1.17187500   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.17187500   -1.00000000    1.00000000)
iedge=   1, ipnt=   8: anal=  -1.12500000   -1.00000000    1.00000000, ptrb=  -1.12500000   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.12500000   -1.00000000    1.00000000)
iedge=   1, ipnt=   9: anal=  -1.07812500   -1.00000000    1.00000000, ptrb=  -1.07812500   -1.00100000    1.00000000, dist=   0.00100000 (at   -1.07812500   -1.00000000    1.00000000)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  1.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   1, ipnt=   0: anal=  -1.50000000   -1.00000000    1.00000000, ptrb=  -1.50000000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.50000000   -1.00000000    1.00000000)
iedge=   1, ipnt=   1: anal=  -1.45312500   -1.00000000    1.00000000, ptrb=  -1.45312500   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.45312500   -1.00000000    1.00000000)
iedge=   1, ipnt=   2: anal=  -1.40625000   -1.00000000    1.00000000, ptrb=  -1.40625000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.40625000   -1.00000000    1.00000000)
iedge=   1, ipnt=   3: anal=  -1.35937500   -1.00000000    1.00000000, ptrb=  -1.35937500   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.35937500   -1.00000000    1.00000000)
iedge=   1, ipnt=   4: anal=  -1.31250000   -1.00000000    1.00000000, ptrb=  -1.31250000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.31250000   -1.00000000    1.00000000)
iedge=   1, ipnt=   5: anal=  -1.26562500   -1.00000000    1.00000000, ptrb=  -1.26562500   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.26562500   -1.00000000    1.00000000)
iedge=   1, ipnt=   6: anal=  -1.21875000   -1.00000000    1.00000000, ptrb=  -1.21875000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.21875000   -1.00000000    1.00000000)
iedge=   1, ipnt=   7: anal=  -1.17187500   -1.00000000    1.00000000, ptrb=  -1.17187500   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.17187500   -1.00000000    1.00000000)
iedge=   1, ipnt=   8: anal=  -1.12500000   -1.00000000    1.00000000, ptrb=  -1.12500000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.12500000   -1.00000000    1.00000000)
iedge=   1, ipnt=   9: anal=  -1.07812500   -1.00000000    1.00000000, ptrb=  -1.07812500   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.07812500   -1.00000000    1.00000000)
...too many errors to list
iedge=   3, ipnt=   0: anal=  -1.50000000   -1.00000000    1.00000000, ptrb=  -1.50000000   -1.00000000    1.00100000, dist=   0.00100000 (at   -1.50000000   -1.00000000    1.00000000)
iedge=   3, ipnt=   1: anal=  -1.50000000   -0.93750000    1.00000000, ptrb=  -1.50000000   -0.93750000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.93750000    1.00000000)
iedge=   3, ipnt=   2: anal=  -1.50000000   -0.87500000    1.00000000, ptrb=  -1.50000000   -0.87500000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.87500000    1.00000000)
iedge=   3, ipnt=   3: anal=  -1.50000000   -0.81250000    1.00000000, ptrb=  -1.50000000   -0.81250000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.81250000    1.00000000)
iedge=   3, ipnt=   4: anal=  -1.50000000   -0.75000000    1.00000000, ptrb=  -1.50000000   -0.75000000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.75000000    1.00000000)
iedge=   3, ipnt=   5: anal=  -1.50000000   -0.68750000    1.00000000, ptrb=  -1.50000000   -0.68750000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.68750000    1.00000000)
iedge=   3, ipnt=   6: anal=  -1.50000000   -0.62500000    1.00000000, ptrb=  -1.50000000   -0.62500000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.62500000    1.00000000)
iedge=   3, ipnt=   7: anal=  -1.50000000   -0.56250000    1.00000000, ptrb=  -1.50000000   -0.56250000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.56250000    1.00000000)
iedge=   3, ipnt=   8: anal=  -1.50000000   -0.50000000    1.00000000, ptrb=  -1.50000000   -0.50000000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.50000000    1.00000000)
iedge=   3, ipnt=   9: anal=  -1.50000000   -0.43750000    1.00000000, ptrb=  -1.50000000   -0.43750000    1.00100000, dist=   0.00100000 (at   -1.50000000   -0.43750000    1.00000000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.50000000   -1.00000000    1.00000000, ptrb=   1.50000000   -1.00000000    1.00100000, dist=   0.00100000 (at    1.50000000   -1.00000000    1.00000000)
iedge=   4, ipnt=   1: anal=   1.50000000   -0.93750000    1.00000000, ptrb=   1.50000000   -0.93750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.93750000    1.00000000)
iedge=   4, ipnt=   2: anal=   1.50000000   -0.87500000    1.00000000, ptrb=   1.50000000   -0.87500000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.87500000    1.00000000)
iedge=   4, ipnt=   3: anal=   1.50000000   -0.81250000    1.00000000, ptrb=   1.50000000   -0.81250000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.81250000    1.00000000)
iedge=   4, ipnt=   4: anal=   1.50000000   -0.75000000    1.00000000, ptrb=   1.50000000   -0.75000000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.75000000    1.00000000)
iedge=   4, ipnt=   5: anal=   1.50000000   -0.68750000    1.00000000, ptrb=   1.50000000   -0.68750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.68750000    1.00000000)
iedge=   4, ipnt=   6: anal=   1.50000000   -0.62500000    1.00000000, ptrb=   1.50000000   -0.62500000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.62500000    1.00000000)
iedge=   4, ipnt=   7: anal=   1.50000000   -0.56250000    1.00000000, ptrb=   1.50000000   -0.56250000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.56250000    1.00000000)
iedge=   4, ipnt=   8: anal=   1.50000000   -0.50000000    1.00000000, ptrb=   1.50000000   -0.50000000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.50000000    1.00000000)
iedge=   4, ipnt=   9: anal=   1.50000000   -0.43750000    1.00000000, ptrb=   1.50000000   -0.43750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.43750000    1.00000000)
...too many errors to list
    d(Edge)/d(DZ) check complete with      131 total errors (errmax=  1.0000e-03)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.048 sec

Sensitivity checks complete with      262 total errors (max tessel err=  1.5000e-03) with 3 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.3264e-10)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.7420e-10)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  3.7420e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  9.9920e-11)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  2.2098e-10)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.5217e-10)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.032 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  3.7420e-10) with 9 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ1d.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  4.9651e-16)
iedge=   1, ipnt=   0: anal=  -1.50000000   -1.00000000    0.00000000, ptrb=  -1.50014973   -1.00000000    0.00044964, dist=   0.00047392 (at   -1.50000000   -1.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=  -1.45312500   -1.00000000    0.01562500, ptrb=  -1.45327005   -1.00000000    0.01606059, dist=   0.00045911 (at   -1.45312500   -1.00000000    0.01562500)
iedge=   1, ipnt=   2: anal=  -1.40625000   -1.00000000    0.03125000, ptrb=  -1.40639037   -1.00000000    0.03167154, dist=   0.00044430 (at   -1.40625000   -1.00000000    0.03125000)
iedge=   1, ipnt=   3: anal=  -1.35937500   -1.00000000    0.04687500, ptrb=  -1.35951069   -1.00000000    0.04728249, dist=   0.00042949 (at   -1.35937500   -1.00000000    0.04687500)
iedge=   1, ipnt=   4: anal=  -1.31250000   -1.00000000    0.06250000, ptrb=  -1.31263101   -1.00000000    0.06289344, dist=   0.00041468 (at   -1.31250000   -1.00000000    0.06250000)
iedge=   1, ipnt=   5: anal=  -1.26562500   -1.00000000    0.07812500, ptrb=  -1.26575133   -1.00000000    0.07850438, dist=   0.00039987 (at   -1.26562500   -1.00000000    0.07812500)
iedge=   1, ipnt=   6: anal=  -1.21875000   -1.00000000    0.09375000, ptrb=  -1.21887166   -1.00000000    0.09411533, dist=   0.00038506 (at   -1.21875000   -1.00000000    0.09375000)
iedge=   1, ipnt=   7: anal=  -1.17187500   -1.00000000    0.10937500, ptrb=  -1.17199198   -1.00000000    0.10972628, dist=   0.00037025 (at   -1.17187500   -1.00000000    0.10937500)
iedge=   1, ipnt=   8: anal=  -1.12500000   -1.00000000    0.12500000, ptrb=  -1.12511230   -1.00000000    0.12533723, dist=   0.00035544 (at   -1.12500000   -1.00000000    0.12500000)
iedge=   1, ipnt=   9: anal=  -1.07812500   -1.00000000    0.14062500, ptrb=  -1.07823262   -1.00000000    0.14094818, dist=   0.00034063 (at   -1.07812500   -1.00000000    0.14062500)
...too many errors to list
iedge=   3, ipnt=   0: anal=  -1.50000000   -1.00000000    0.00000000, ptrb=  -1.50150000   -1.00000000    0.00000000, dist=   0.00150000 (at   -1.50000000   -1.00000000    0.00000000)
iedge=   3, ipnt=   1: anal=  -1.50000000   -0.93750000    0.00000000, ptrb=  -1.50150000   -0.93750000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.93750000    0.00000000)
iedge=   3, ipnt=   2: anal=  -1.50000000   -0.87500000    0.00000000, ptrb=  -1.50150000   -0.87500000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.87500000    0.00000000)
iedge=   3, ipnt=   3: anal=  -1.50000000   -0.81250000    0.00000000, ptrb=  -1.50150000   -0.81250000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.81250000    0.00000000)
iedge=   3, ipnt=   4: anal=  -1.50000000   -0.75000000    0.00000000, ptrb=  -1.50150000   -0.75000000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.75000000    0.00000000)
iedge=   3, ipnt=   5: anal=  -1.50000000   -0.68750000    0.00000000, ptrb=  -1.50150000   -0.68750000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.68750000    0.00000000)
iedge=   3, ipnt=   6: anal=  -1.50000000   -0.62500000    0.00000000, ptrb=  -1.50150000   -0.62500000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.62500000    0.00000000)
iedge=   3, ipnt=   7: anal=  -1.50000000   -0.56250000    0.00000000, ptrb=  -1.50150000   -0.56250000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.56250000    0.00000000)
iedge=   3, ipnt=   8: anal=  -1.50000000   -0.50000000    0.00000000, ptrb=  -1.50150000   -0.50000000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.50000000    0.00000000)
iedge=   3, ipnt=   9: anal=  -1.50000000   -0.43750000    0.00000000, ptrb=  -1.50150000   -0.43750000    0.00000000, dist=   0.00150000 (at   -1.50000000   -0.43750000    0.00000000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.50000000   -1.00000000    1.00000000, ptrb=   1.50150000   -1.00000000    1.00000000, dist=   0.00150000 (at    1.50000000   -1.00000000    1.00000000)
iedge=   4, ipnt=   1: anal=   1.50000000   -0.93750000    1.00000000, ptrb=   1.50150000   -0.93750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.93750000    1.00000000)
iedge=   4, ipnt=   2: anal=   1.50000000   -0.87500000    1.00000000, ptrb=   1.50150000   -0.87500000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.87500000    1.00000000)
iedge=   4, ipnt=   3: anal=   1.50000000   -0.81250000    1.00000000, ptrb=   1.50150000   -0.81250000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.81250000    1.00000000)
iedge=   4, ipnt=   4: anal=   1.50000000   -0.75000000    1.00000000, ptrb=   1.50150000   -0.75000000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.75000000    1.00000000)
iedge=   4, ipnt=   5: anal=   1.50000000   -0.68750000    1.00000000, ptrb=   1.50150000   -0.68750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.68750000    1.00000000)
iedge=   4, ipnt=   6: anal=   1.50000000   -0.62500000    1.00000000, ptrb=   1.50150000   -0.62500000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.62500000    1.00000000)
iedge=   4, ipnt=   7: anal=   1.50000000   -0.56250000    1.00000000, ptrb=   1.50150000   -0.56250000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.56250000    1.00000000)
iedge=   4, ipnt=   8: anal=   1.50000000   -0.50000000    1.00000000, ptrb=   1.50150000   -0.50000000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.50000000    1.00000000)
iedge=   4, ipnt=   9: anal=   1.50000000   -0.43750000    1.00000000, ptrb=   1.50150000   -0.43750000    1.00000000, dist=   0.00150000 (at    1.50000000   -0.43750000    1.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with      118 total errors (errmax=  1.5000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  4.9651e-16)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.9651e-16)
iedge=   1, ipnt=   0: anal=  -1.50000000   -1.00000000    0.00000000, ptrb=  -1.50000000   -1.00100000    0.00000000, dist=   0.00100000 (at   -1.50000000   -1.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=  -1.45312500   -1.00000000    0.01562500, ptrb=  -1.45312500   -1.00100000    0.01562500, dist=   0.00100000 (at   -1.45312500   -1.00000000    0.01562500)
iedge=   1, ipnt=   2: anal=  -1.40625000   -1.00000000    0.03125000, ptrb=  -1.40625000   -1.00100000    0.03125000, dist=   0.00100000 (at   -1.40625000   -1.00000000    0.03125000)
iedge=   1, ipnt=   3: anal=  -1.35937500   -1.00000000    0.04687500, ptrb=  -1.35937500   -1.00100000    0.04687500, dist=   0.00100000 (at   -1.35937500   -1.00000000    0.04687500)
iedge=   1, ipnt=   4: anal=  -1.31250000   -1.00000000    0.06250000, ptrb=  -1.31250000   -1.00100000    0.06250000, dist=   0.00100000 (at   -1.31250000   -1.00000000    0.06250000)
iedge=   1, ipnt=   5: anal=  -1.26562500   -1.00000000    0.07812500, ptrb=  -1.26562500   -1.00100000    0.07812500, dist=   0.00100000 (at   -1.26562500   -1.00000000    0.07812500)
iedge=   1, ipnt=   6: anal=  -1.21875000   -1.00000000    0.09375000, ptrb=  -1.21875000   -1.00100000    0.09375000, dist=   0.00100000 (at   -1.21875000   -1.00000000    0.09375000)
iedge=   1, ipnt=   7: anal=  -1.17187500   -1.00000000    0.10937500, ptrb=  -1.17187500   -1.00100000    0.10937500, dist=   0.00100000 (at   -1.17187500   -1.00000000    0.10937500)
iedge=   1, ipnt=   8: anal=  -1.12500000   -1.00000000    0.12500000, ptrb=  -1.12500000   -1.00100000    0.12500000, dist=   0.00100000 (at   -1.12500000   -1.00000000    0.12500000)
iedge=   1, ipnt=   9: anal=  -1.07812500   -1.00000000    0.14062500, ptrb=  -1.07812500   -1.00100000    0.14062500, dist=   0.00100000 (at   -1.07812500   -1.00000000    0.14062500)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  1.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.9651e-16)
iedge=   1, ipnt=   7: anal=  -1.17187500   -1.00000000    0.10937500, ptrb=  -1.17190784   -1.00000000    0.10947342, dist=   0.00010375 (at   -1.17187500   -1.00000000    0.10937500)
iedge=   1, ipnt=   8: anal=  -1.12500000   -1.00000000    0.12500000, ptrb=  -1.12503753   -1.00000000    0.12511248, dist=   0.00011857 (at   -1.12500000   -1.00000000    0.12500000)
iedge=   1, ipnt=   9: anal=  -1.07812500   -1.00000000    0.14062500, ptrb=  -1.07816722   -1.00000000    0.14075154, dist=   0.00013340 (at   -1.07812500   -1.00000000    0.14062500)
iedge=   1, ipnt=  10: anal=  -1.03125000   -1.00000000    0.15625000, ptrb=  -1.03129691   -1.00000000    0.15639060, dist=   0.00014822 (at   -1.03125000   -1.00000000    0.15625000)
iedge=   1, ipnt=  11: anal=  -0.98437500   -1.00000000    0.17187500, ptrb=  -0.98442660   -1.00000000    0.17202966, dist=   0.00016304 (at   -0.98437500   -1.00000000    0.17187500)
iedge=   1, ipnt=  12: anal=  -0.93750000   -1.00000000    0.18750000, ptrb=  -0.93755629   -1.00000000    0.18766872, dist=   0.00017786 (at   -0.93750000   -1.00000000    0.18750000)
iedge=   1, ipnt=  13: anal=  -0.89062500   -1.00000000    0.20312500, ptrb=  -0.89068599   -1.00000000    0.20330778, dist=   0.00019268 (at   -0.89062500   -1.00000000    0.20312500)
iedge=   1, ipnt=  14: anal=  -0.84375000   -1.00000000    0.21875000, ptrb=  -0.84381568   -1.00000000    0.21894684, dist=   0.00020750 (at   -0.84375000   -1.00000000    0.21875000)
iedge=   1, ipnt=  15: anal=  -0.79687500   -1.00000000    0.23437500, ptrb=  -0.79694537   -1.00000000    0.23458590, dist=   0.00022233 (at   -0.79687500   -1.00000000    0.23437500)
iedge=   1, ipnt=  16: anal=  -0.75000000   -1.00000000    0.25000000, ptrb=  -0.75007506   -1.00000000    0.25022495, dist=   0.00023715 (at   -0.75000000   -1.00000000    0.25000000)
...too many errors to list
iedge=   4, ipnt=   0: anal=   1.50000000   -1.00000000    1.00000000, ptrb=   1.50000000   -1.00000000    1.00100000, dist=   0.00100000 (at    1.50000000   -1.00000000    1.00000000)
iedge=   4, ipnt=   1: anal=   1.50000000   -0.93750000    1.00000000, ptrb=   1.50000000   -0.93750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.93750000    1.00000000)
iedge=   4, ipnt=   2: anal=   1.50000000   -0.87500000    1.00000000, ptrb=   1.50000000   -0.87500000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.87500000    1.00000000)
iedge=   4, ipnt=   3: anal=   1.50000000   -0.81250000    1.00000000, ptrb=   1.50000000   -0.81250000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.81250000    1.00000000)
iedge=   4, ipnt=   4: anal=   1.50000000   -0.75000000    1.00000000, ptrb=   1.50000000   -0.75000000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.75000000    1.00000000)
iedge=   4, ipnt=   5: anal=   1.50000000   -0.68750000    1.00000000, ptrb=   1.50000000   -0.68750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.68750000    1.00000000)
iedge=   4, ipnt=   6: anal=   1.50000000   -0.62500000    1.00000000, ptrb=   1.50000000   -0.62500000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.62500000    1.00000000)
iedge=   4, ipnt=   7: anal=   1.50000000   -0.56250000    1.00000000, ptrb=   1.50000000   -0.56250000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.56250000    1.00000000)
iedge=   4, ipnt=   8: anal=   1.50000000   -0.50000000    1.00000000, ptrb=   1.50000000   -0.50000000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.50000000    1.00000000)
iedge=   4, ipnt=   9: anal=   1.50000000   -0.43750000    1.00000000, ptrb=   1.50000000   -0.43750000    1.00100000, dist=   0.00100000 (at    1.50000000   -0.43750000    1.00000000)
...too many errors to list
    d(Edge)/d(DZ) check complete with       91 total errors (errmax=  1.0000e-03)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.063 sec

Sensitivity checks complete with      274 total errors (max tessel err=  1.5000e-03) with 3 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DX" for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DY" for ibody=4
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DZ" for ibody=4
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.5216e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.344 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   6, ipnt=   0: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   6, ipnt=  16: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.50000000)
iface=   6, ipnt=  48: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000    0.50000000)
iface=   6, ipnt=  64: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000   -0.50000000)
    d(Face)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  4.6111e-16)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000   -0.50000000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000   -0.50000000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000    0.50000000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000    0.50000000)
    d(Node)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   2, ipnt=   0: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=  64: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=  80: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000    0.50000000)
iface=   2, ipnt= 144: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000    0.50000000)
iface=   4, ipnt=   0: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000    0.50000000)
iface=   4, ipnt=  64: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00000000    0.50000000)
iface=   4, ipnt=  80: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   4, ipnt= 144: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000   -0.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  9.0195e-16)
inode=   1:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00100000   -0.50000000)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000   -0.50000000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000   -0.50000000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000   -0.50000000)
inode=   5:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000    0.50000000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000    0.50000000)
inode=   7:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00100000    0.50000000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000    0.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   1, ipnt=   0: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  64: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  96: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50000000)
iface=   1, ipnt= 160: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50000000)
iface=   3, ipnt=  64: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50000000)
iface=   3, ipnt=  96: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50000000)
iface=   3, ipnt= 160: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  9.1719e-16)
inode=   1:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50050000)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50050000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50050000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50050000)
inode=   5:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50050000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50050000)
inode=   7:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50050000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50050000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.438 sec

Sensitivity checks complete with       40 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DX" for ibody=5
    d(Face)/d(DX) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DY" for ibody=5
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DZ" for ibody=5
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.5216e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.340 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.1398e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ2b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   6, ipnt=   0: anal=   1.49850000   -1.00000000   -0.50000000, ptrb=   1.50150000   -1.00000000   -0.50000000, dist=   0.00300000 (at    1.50000000   -1.00000000   -0.50000000)
iface=   6, ipnt=  16: anal=   1.49850000   -1.00000000    0.50000000, ptrb=   1.50150000   -1.00000000    0.50000000, dist=   0.00300000 (at    1.50000000   -1.00000000    0.50000000)
iface=   6, ipnt=  48: anal=   1.49850000    1.00000000    0.50000000, ptrb=   1.50150000    1.00000000    0.50000000, dist=   0.00300000 (at    1.50000000    1.00000000    0.50000000)
iface=   6, ipnt=  64: anal=   1.49850000    1.00000000   -0.50000000, ptrb=   1.50150000    1.00000000   -0.50000000, dist=   0.00300000 (at    1.50000000    1.00000000   -0.50000000)
    d(Face)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.0877e-16)
inode=   2:            anal=   1.49850000   -1.00000000   -0.50000000, ptrb=   1.50150000   -1.00000000   -0.50000000, dist=   0.00300000 (at    1.50150000   -1.00000000   -0.50000000)
inode=   4:            anal=   1.49850000    1.00000000   -0.50000000, ptrb=   1.50150000    1.00000000   -0.50000000, dist=   0.00300000 (at    1.50150000    1.00000000   -0.50000000)
inode=   6:            anal=   1.49850000    1.00000000    0.50000000, ptrb=   1.50150000    1.00000000    0.50000000, dist=   0.00300000 (at    1.50150000    1.00000000    0.50000000)
inode=   8:            anal=   1.49850000   -1.00000000    0.50000000, ptrb=   1.50150000   -1.00000000    0.50000000, dist=   0.00300000 (at    1.50150000   -1.00000000    0.50000000)
    d(Node)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   2, ipnt=   0: anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000    1.00000000   -0.50000000)
iface=   2, ipnt=  64: anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000    1.00000000   -0.50000000)
iface=   2, ipnt=  80: anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000    1.00000000    0.50000000)
iface=   2, ipnt= 144: anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000    1.00000000    0.50000000)
iface=   4, ipnt=   0: anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000   -1.00000000    0.50000000)
iface=   4, ipnt=  64: anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00000000    0.50000000)
iface=   4, ipnt=  80: anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00000000   -0.50000000)
iface=   4, ipnt= 144: anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000   -1.00000000   -0.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  4.7103e-16)
inode=   1:            anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00100000   -0.50000000)
inode=   2:            anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000   -1.00100000   -0.50000000)
inode=   3:            anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000    1.00100000   -0.50000000)
inode=   4:            anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000    1.00100000   -0.50000000)
inode=   5:            anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000    1.00100000    0.50000000)
inode=   6:            anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000    1.00100000    0.50000000)
inode=   7:            anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00100000    0.50000000)
inode=   8:            anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000   -1.00100000    0.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   1, ipnt=   0: anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  64: anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  96: anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000   -0.50000000)
iface=   1, ipnt= 160: anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000    0.50000000)
iface=   3, ipnt=  64: anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000    0.50000000)
iface=   3, ipnt=  96: anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000    0.50000000)
iface=   3, ipnt= 160: anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000    0.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.9960e-16)
inode=   1:            anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000   -0.50050000)
inode=   2:            anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000   -0.50050000)
inode=   3:            anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000   -0.50050000)
inode=   4:            anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000   -0.50050000)
inode=   5:            anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000    0.50050000)
inode=   6:            anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000    0.50050000)
inode=   7:            anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000    0.50050000)
inode=   8:            anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000    0.50050000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.428 sec

Sensitivity checks complete with       40 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DX" for ibody=4
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DY" for ibody=4
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4

Comparing configuration sensitivities wrt "DZ" for ibody=4
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.5216e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.323 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   6, ipnt=   0: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   6, ipnt=  16: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.50000000)
iface=   6, ipnt=  48: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000    0.50000000)
iface=   6, ipnt=  64: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000   -0.50000000)
    d(Face)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  4.6111e-16)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000   -0.50000000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000   -0.50000000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000    0.50000000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000    0.50000000)
    d(Node)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   2, ipnt=   0: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=  64: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=  80: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000    0.50000000)
iface=   2, ipnt= 144: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000    0.50000000)
iface=   4, ipnt=   0: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000    0.50000000)
iface=   4, ipnt=  64: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00000000    0.50000000)
iface=   4, ipnt=  80: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   4, ipnt= 144: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000   -0.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  9.0195e-16)
inode=   1:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00100000   -0.50000000)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000   -0.50000000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000   -0.50000000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000   -0.50000000)
inode=   5:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000    0.50000000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000    0.50000000)
inode=   7:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00100000    0.50000000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000    0.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=4
Computing distances of perturbed points from perturbed configuration for ibody=4
iface=   1, ipnt=   0: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  64: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  96: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50000000)
iface=   1, ipnt= 160: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50000000)
iface=   3, ipnt=  64: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50000000)
iface=   3, ipnt=  96: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50000000)
iface=   3, ipnt= 160: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  9.1719e-16)
inode=   1:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50050000)
inode=   2:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50050000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50050000)
inode=   4:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50050000)
inode=   5:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50050000)
inode=   6:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50050000)
inode=   7:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50050000)
inode=   8:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50050000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.446 sec

Sensitivity checks complete with       40 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DX" for ibody=5
    d(Face)/d(DX) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DY" for ibody=5
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5

Comparing configuration sensitivities wrt "DZ" for ibody=5
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.4409e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  1.5216e-10)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.325 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.1398e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ3b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   6, ipnt=   0: anal=   1.49850000   -1.00000000   -0.50000000, ptrb=   1.50150000   -1.00000000   -0.50000000, dist=   0.00300000 (at    1.50000000   -1.00000000   -0.50000000)
iface=   6, ipnt=  16: anal=   1.49850000   -1.00000000    0.50000000, ptrb=   1.50150000   -1.00000000    0.50000000, dist=   0.00300000 (at    1.50000000   -1.00000000    0.50000000)
iface=   6, ipnt=  48: anal=   1.49850000    1.00000000    0.50000000, ptrb=   1.50150000    1.00000000    0.50000000, dist=   0.00300000 (at    1.50000000    1.00000000    0.50000000)
iface=   6, ipnt=  64: anal=   1.49850000    1.00000000   -0.50000000, ptrb=   1.50150000    1.00000000   -0.50000000, dist=   0.00300000 (at    1.50000000    1.00000000   -0.50000000)
    d(Face)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.0877e-16)
inode=   2:            anal=   1.49850000   -1.00000000   -0.50000000, ptrb=   1.50150000   -1.00000000   -0.50000000, dist=   0.00300000 (at    1.50150000   -1.00000000   -0.50000000)
inode=   4:            anal=   1.49850000    1.00000000   -0.50000000, ptrb=   1.50150000    1.00000000   -0.50000000, dist=   0.00300000 (at    1.50150000    1.00000000   -0.50000000)
inode=   6:            anal=   1.49850000    1.00000000    0.50000000, ptrb=   1.50150000    1.00000000    0.50000000, dist=   0.00300000 (at    1.50150000    1.00000000    0.50000000)
inode=   8:            anal=   1.49850000   -1.00000000    0.50000000, ptrb=   1.50150000   -1.00000000    0.50000000, dist=   0.00300000 (at    1.50150000   -1.00000000    0.50000000)
    d(Node)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   2, ipnt=   0: anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000    1.00000000   -0.50000000)
iface=   2, ipnt=  64: anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000    1.00000000   -0.50000000)
iface=   2, ipnt=  80: anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000    1.00000000    0.50000000)
iface=   2, ipnt= 144: anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000    1.00000000    0.50000000)
iface=   4, ipnt=   0: anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000   -1.00000000    0.50000000)
iface=   4, ipnt=  64: anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00000000    0.50000000)
iface=   4, ipnt=  80: anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00000000   -0.50000000)
iface=   4, ipnt= 144: anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000   -1.00000000   -0.50000000)
    d(Face)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  4.7103e-16)
inode=   1:            anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00100000   -0.50000000)
inode=   2:            anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000   -1.00100000   -0.50000000)
inode=   3:            anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at   -1.50000000    1.00100000   -0.50000000)
inode=   4:            anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00100000   -0.50000000, dist=   0.00100000 (at    1.50000000    1.00100000   -0.50000000)
inode=   5:            anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000    1.00100000    0.50000000)
inode=   6:            anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000    1.00100000    0.50000000)
inode=   7:            anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at   -1.50000000   -1.00100000    0.50000000)
inode=   8:            anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00100000    0.50000000, dist=   0.00100000 (at    1.50000000   -1.00100000    0.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=5
Computing distances of perturbed points from perturbed configuration for ibody=5
iface=   1, ipnt=   0: anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  64: anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  96: anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000   -0.50000000)
iface=   1, ipnt= 160: anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000   -0.50000000)
iface=   3, ipnt=   0: anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000    0.50000000)
iface=   3, ipnt=  64: anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000    0.50000000)
iface=   3, ipnt=  96: anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000    0.50000000)
iface=   3, ipnt= 160: anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000    0.50000000)
    d(Face)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.9960e-16)
inode=   1:            anal=  -1.50000000   -1.00000000   -0.50000000, ptrb=  -1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000   -0.50050000)
inode=   2:            anal=   1.50000000   -1.00000000   -0.50000000, ptrb=   1.50000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000   -0.50050000)
inode=   3:            anal=  -1.50000000    1.00000000   -0.50000000, ptrb=  -1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000   -0.50050000)
inode=   4:            anal=   1.50000000    1.00000000   -0.50000000, ptrb=   1.50000000    1.00000000   -0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000   -0.50050000)
inode=   5:            anal=  -1.50000000    1.00000000    0.50000000, ptrb=  -1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000    1.00000000    0.50050000)
inode=   6:            anal=   1.50000000    1.00000000    0.50000000, ptrb=   1.50000000    1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000    1.00000000    0.50050000)
inode=   7:            anal=  -1.50000000   -1.00000000    0.50000000, ptrb=  -1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at   -1.50000000   -1.00000000    0.50050000)
inode=   8:            anal=   1.50000000   -1.00000000    0.50000000, ptrb=   1.50000000   -1.00000000    0.50050000, dist=   0.00050000 (at    1.50000000   -1.00000000    0.50050000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.455 sec

Sensitivity checks complete with       40 total errors (max tessel err=  3.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "XBEG" for ibody=6
    d(Face)/d(XBEG) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(XBEG) check complete with        0 total errors (errmax=  5.5410e-11)
    d(Node)/d(XBEG) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "YBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "YBEG" for ibody=6
    d(Face)/d(YBEG) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(YBEG) check complete with        0 total errors (errmax=  6.8252e-11)
    d(Node)/d(YBEG) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "ZBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ZBEG" for ibody=6
    d(Face)/d(ZBEG) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(ZBEG) check complete with        0 total errors (errmax=  4.6593e-11)
    d(Node)/d(ZBEG) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "XEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "XEND" for ibody=6
    d(Face)/d(XEND) check complete with        0 total errors (errmax=  4.7158e-10)
    d(Edge)/d(XEND) check complete with        0 total errors (errmax=  3.5066e-10)
    d(Node)/d(XEND) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "YEND" for ibody=6
    d(Face)/d(YEND) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(YEND) check complete with        0 total errors (errmax=  1.0394e-10)
    d(Node)/d(YEND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "ZEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ZEND" for ibody=6
    d(Face)/d(ZEND) check complete with        0 total errors (errmax=  2.2204e-10)
    d(Edge)/d(ZEND) check complete with        0 total errors (errmax=  7.2640e-11)
    d(Node)/d(ZEND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DX" for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  4.1305e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  5.8387e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DY" for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  5.1398e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.9193e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DZ" for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  2.5789e-10)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1134e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.740 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  5.8387e-10) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4a.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XBEG"
*********************************************************

Generating perturbed configuration with delta-XBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   7, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=  10, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(XBEG) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   1, ipnt=   0: anal=  -0.99913793    0.00013793    0.00006897, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00020690 (at   -1.00000000    0.00000000    0.00000000)
iedge=   3, ipnt=   0: anal=  -0.99923529   -0.00023529    0.00011765, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00035294 (at   -1.00000000    0.00000000    0.00000000)
iedge=  12, ipnt=   0: anal=  -0.99913793   -0.00013793   -0.00006897, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00020690 (at   -1.00000000    0.00000000    0.00000000)
iedge=  19, ipnt=   0: anal=  -0.99923529    0.00023529   -0.00011765, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00035294 (at   -1.00000000    0.00000000    0.00000000)
    d(Edge)/d(XBEG) check complete with        4 total errors (errmax=  3.5294e-04)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -0.99900000    0.00000000    0.00000000)
    d(Node)/d(XBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "YBEG"
*********************************************************

Generating perturbed configuration with delta-YBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   7, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=  10, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99949999    0.00049949   -0.00000001, dist=   0.00070675 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(YBEG) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   3, ipnt=   0: anal=  -1.00023529    0.00076471    0.00011765, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00035294 (at   -1.00000000    0.00000000    0.00000000)
iedge=  12, ipnt=   0: anal=  -1.00013793    0.00086207   -0.00006897, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00020690 (at   -1.00000000    0.00000000    0.00000000)
    d(Edge)/d(YBEG) check complete with        2 total errors (errmax=  3.5294e-04)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00100000    0.00000000)
    d(Node)/d(YBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "ZBEG"
*********************************************************

Generating perturbed configuration with delta-ZBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99977743    0.00022257    0.00088849, dist=   0.00094260 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   7, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=  10, ipnt=  18: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000   -0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(ZBEG) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=  12, ipnt=   0: anal=  -1.00006897   -0.00006897    0.00096552, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00010345 (at   -1.00000000    0.00000000    0.00000000)
iedge=  19, ipnt=   0: anal=  -1.00011765    0.00011765    0.00094118, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00017647 (at   -1.00000000    0.00000000    0.00000000)
    d(Edge)/d(ZBEG) check complete with        2 total errors (errmax=  1.7647e-04)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00100000)
    d(Node)/d(ZBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "XEND"
*********************************************************

Generating perturbed configuration with delta-XEND[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00221433   -0.00177855   -0.00088928, dist=   0.00297613 (at    4.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00199202    0.00199998   -0.00000000, dist=   0.00282278 (at    4.00000000    0.00000000    0.00000000)
iface=   9, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00221433    0.00177855    0.00088928, dist=   0.00297613 (at    4.00000000    0.00000000    0.00000000)
iface=  12, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00199202   -0.00199998    0.00000000, dist=   0.00282278 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(XEND) check complete with        4 total errors (errmax=  2.9761e-03)
iedge=   8, ipnt=  18: anal=   4.00305882   -0.00094118    0.00047059, ptrb=   4.00326598   -0.00073109   -0.00036555, dist=   0.00088666 (at    4.00000000    0.00000000    0.00000000)
iedge=   9, ipnt=  18: anal=   4.00344828   -0.00055172   -0.00027586, ptrb=   4.00393769    0.00006206   -0.00003103, dist=   0.00082231 (at    4.00000000    0.00000000    0.00000000)
iedge=  16, ipnt=  18: anal=   4.00305882    0.00094118   -0.00047059, ptrb=   4.00326598    0.00073109    0.00036555, dist=   0.00088666 (at    4.00000000    0.00000000    0.00000000)
iedge=  23, ipnt=  18: anal=   4.00344828    0.00055172    0.00027586, ptrb=   4.00393769   -0.00006206    0.00003103, dist=   0.00082231 (at    4.00000000    0.00000000    0.00000000)
    d(Edge)/d(XEND) check complete with        4 total errors (errmax=  8.8666e-04)
inode=   6:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00400000    0.00000000    0.00000000, dist=   0.00400000 (at    4.00400000    0.00000000    0.00000000)
    d(Node)/d(XEND) check complete with        1 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "YEND"
*********************************************************

Generating perturbed configuration with delta-YEND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   9, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=  12, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   3.99949999    0.00049949    0.00000001, dist=   0.00070675 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(YEND) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   8, ipnt=  18: anal=   3.99976471    0.00076471    0.00011765, ptrb=   3.99981705    0.00081687   -0.00009147, dist=   0.00022179 (at    4.00000000    0.00000000    0.00000000)
iedge=   9, ipnt=  18: anal=   4.00013793    0.00113793    0.00006897, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00020690 (at    4.00000000    0.00000000    0.00000000)
iedge=  16, ipnt=  18: anal=   4.00023529    0.00076471    0.00011765, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00035294 (at    4.00000000    0.00000000    0.00000000)
iedge=  23, ipnt=  18: anal=   3.99986207    0.00113793    0.00006897, ptrb=   3.99998475    0.00098473    0.00000763, dist=   0.00020563 (at    4.00000000    0.00000000    0.00000000)
    d(Edge)/d(YEND) check complete with        4 total errors (errmax=  3.5294e-04)
inode=   6:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00100000    0.00000000)
    d(Node)/d(YEND) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "ZEND"
*********************************************************

Generating perturbed configuration with delta-ZEND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   3.99977743   -0.00022257    0.00088849, dist=   0.00094260 (at    4.00000000    0.00000000    0.00000000)
iface=   6, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   9, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=  12, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(ZEND) check complete with        4 total errors (errmax=  1.0000e-03)
iedge=   8, ipnt=  18: anal=   3.99988235   -0.00011765    0.00105882, ptrb=   3.99990856   -0.00009144    0.00095419, dist=   0.00011100 (at    4.00000000    0.00000000    0.00000000)
iedge=   9, ipnt=  18: anal=   3.99993103   -0.00006897    0.00096552, ptrb=   3.99999233    0.00000767    0.00099615, dist=   0.00010281 (at    4.00000000    0.00000000    0.00000000)
iedge=  16, ipnt=  18: anal=   4.00011765   -0.00011765    0.00105882, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00017647 (at    4.00000000    0.00000000    0.00000000)
iedge=  23, ipnt=  18: anal=   4.00006897   -0.00006897    0.00096552, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00010345 (at    4.00000000    0.00000000    0.00000000)
    d(Edge)/d(ZEND) check complete with        4 total errors (errmax=  1.7647e-04)
inode=   6:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00100000)
    d(Node)/d(ZEND) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   3, ipnt=  18: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   3, ipnt=  34: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000   -0.50000000)
iface=   6, ipnt=  18: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000   -0.50000000)
iface=   6, ipnt=  26: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000    0.50000000)
iface=   9, ipnt=  18: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000    1.00000000    0.50000000)
iface=   9, ipnt=  34: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.50000000)
iface=  12, ipnt=  18: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.50000000)
iface=  12, ipnt=  26: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00000000   -1.00000000   -0.50000000)
    d(Face)/d(DX) check complete with        8 total errors (errmax=  3.0000e-03)
iedge=   8, ipnt=   0: anal=   3.00166667   -1.00133333   -0.50066667, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00200000 (at    3.00000000   -1.00000000   -0.50000000)
iedge=   9, ipnt=   0: anal=   3.00166667    1.00133333   -0.50066667, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00200000 (at    3.00000000    1.00000000   -0.50000000)
iedge=  16, ipnt=   0: anal=   3.00166667    1.00133333    0.50066667, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00200000 (at    3.00000000    1.00000000    0.50000000)
iedge=  23, ipnt=   0: anal=   3.00166667   -1.00133333    0.50066667, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00200000 (at    3.00000000   -1.00000000    0.50000000)
    d(Edge)/d(DX) check complete with        4 total errors (errmax=  2.0000e-03)
inode=   4:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00300000   -1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000   -0.50000000)
inode=   5:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00300000    1.00000000   -0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000   -0.50000000)
inode=   8:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00300000    1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000    1.00000000    0.50000000)
inode=  10:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00300000   -1.00000000    0.50000000, dist=   0.00300000 (at    3.00300000   -1.00000000    0.50000000)
    d(Node)/d(DX) check complete with        4 total errors (errmax=  3.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   4, ipnt=   0: anal=   0.00000000    1.00000000   -0.50000000, ptrb=  -0.00049997    1.00049953   -0.49975002, dist=   0.00074966 (at    0.00000000    1.00000000   -0.50000000)
iface=   4, ipnt=  36: anal=   0.00000000    1.00000000    0.50000000, ptrb=  -0.00049997    1.00049953    0.49975002, dist=   0.00074966 (at    0.00000000    1.00000000    0.50000000)
iface=   5, ipnt=   0: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000   -0.50000000)
iface=   5, ipnt=  32: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000   -0.50000000)
iface=   5, ipnt=  40: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00000000    0.50000000)
iface=   5, ipnt=  72: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00000000    0.50000000)
iface=   6, ipnt=  18: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00049997    1.00049953   -0.49975002, dist=   0.00074966 (at    3.00000000    1.00000000   -0.50000000)
iface=   6, ipnt=  26: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00049997    1.00049953    0.49975002, dist=   0.00074966 (at    3.00000000    1.00000000    0.50000000)
iface=  10, ipnt=   0: anal=   0.00000000   -1.00000000    0.50000000, ptrb=  -0.00049997   -1.00049953    0.49975002, dist=   0.00074966 (at    0.00000000   -1.00000000    0.50000000)
iface=  10, ipnt=  36: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00049997   -1.00049953   -0.49975002, dist=   0.00074966 (at   -0.00000000   -1.00000000   -0.50000000)
iface=  11, ipnt=   0: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000    0.50000000)
iface=  11, ipnt=  32: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00000000    0.50000000)
iface=  11, ipnt=  40: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=  11, ipnt=  72: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00000000   -0.50000000)
iface=  12, ipnt=  18: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00049997   -1.00049953    0.49975002, dist=   0.00074966 (at    3.00000000   -1.00000000    0.50000000)
iface=  12, ipnt=  26: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00049997   -1.00049953   -0.49975002, dist=   0.00074966 (at    3.00000000   -1.00000000   -0.50000000)
    d(Face)/d(DY) check complete with       16 total errors (errmax=  1.0000e-03)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  3.3112e-07)
inode=   2:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at   -0.00000000   -1.00100000   -0.50000000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000   -0.50000000)
inode=   4:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000   -0.50000000)
inode=   5:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00100000   -0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000   -0.50000000)
inode=   7:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000    1.00100000    0.50000000)
inode=   8:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000    1.00100000    0.50000000)
inode=   9:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    0.00000000   -1.00100000    0.50000000)
inode=  10:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00100000    0.50000000, dist=   0.00100000 (at    3.00000000   -1.00100000    0.50000000)
    d(Node)/d(DY) check complete with        8 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00020009   -0.99979991   -0.50039986, dist=   0.00048985 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   1, ipnt=  36: anal=   0.00000000    1.00000000   -0.50000000, ptrb=  -0.00020009    0.99979991   -0.50039986, dist=   0.00048985 (at    0.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=   0: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50000000)
iface=   2, ipnt=  32: anal=   0.00000000   -1.00000000   -0.50000000, ptrb=   0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50000000)
iface=   2, ipnt=  48: anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50000000)
iface=   2, ipnt=  80: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50000000)
iface=   3, ipnt=  18: anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00020009   -0.99979991   -0.50039986, dist=   0.00048985 (at    3.00000000   -1.00000000   -0.50000000)
iface=   3, ipnt=  34: anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00020009    0.99979991   -0.50039986, dist=   0.00048985 (at    3.00000000    1.00000000   -0.50000000)
iface=   7, ipnt=   0: anal=   0.00000000    1.00000000    0.50000000, ptrb=  -0.00020009    0.99979991    0.50039986, dist=   0.00048985 (at    0.00000000    1.00000000    0.50000000)
iface=   7, ipnt=  36: anal=   0.00000000   -1.00000000    0.50000000, ptrb=  -0.00020009   -0.99979991    0.50039986, dist=   0.00048985 (at    0.00000000   -1.00000000    0.50000000)
iface=   8, ipnt=   0: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50000000)
iface=   8, ipnt=  32: anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50000000)
iface=   8, ipnt=  48: anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50000000)
iface=   8, ipnt=  80: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50000000)
iface=   9, ipnt=  18: anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00020009    0.99979991    0.50039986, dist=   0.00048985 (at    3.00000000    1.00000000    0.50000000)
iface=   9, ipnt=  34: anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00020009   -0.99979991    0.50039986, dist=   0.00048985 (at    3.00000000   -1.00000000    0.50000000)
    d(Face)/d(DZ) check complete with       16 total errors (errmax=  5.0000e-04)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.2372e-08)
inode=   2:            anal=   0.00000000   -1.00000000   -0.50000000, ptrb=  -0.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at   -0.00000000   -1.00000000   -0.50050000)
inode=   3:            anal=   0.00000000    1.00000000   -0.50000000, ptrb=   0.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000   -0.50050000)
inode=   4:            anal=   3.00000000   -1.00000000   -0.50000000, ptrb=   3.00000000   -1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000   -0.50050000)
inode=   5:            anal=   3.00000000    1.00000000   -0.50000000, ptrb=   3.00000000    1.00000000   -0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000   -0.50050000)
inode=   7:            anal=   0.00000000    1.00000000    0.50000000, ptrb=   0.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000    1.00000000    0.50050000)
inode=   8:            anal=   3.00000000    1.00000000    0.50000000, ptrb=   3.00000000    1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000    1.00000000    0.50050000)
inode=   9:            anal=   0.00000000   -1.00000000    0.50000000, ptrb=   0.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    0.00000000   -1.00000000    0.50050000)
inode=  10:            anal=   3.00000000   -1.00000000    0.50000000, ptrb=   3.00000000   -1.00000000    0.50050000, dist=   0.00050000 (at    3.00000000   -1.00000000    0.50050000)
    d(Node)/d(DZ) check complete with        8 total errors (errmax=  5.0000e-04)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.789 sec

Sensitivity checks complete with      114 total errors (max tessel err=  4.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "XBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "XBEG" for ibody=6
    d(Face)/d(XBEG) check complete with        0 total errors (errmax=  1.4306e-07)
    d(Edge)/d(XBEG) check complete with        0 total errors (errmax=  1.4374e-07)
    d(Node)/d(XBEG) check complete with        0 total errors (errmax=  2.8756e-11)
 

*********************************************************
Starting configuration sensitivity wrt "YBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "YBEG" for ibody=6
    d(Face)/d(YBEG) check complete with        0 total errors (errmax=  4.2639e-08)
    d(Edge)/d(YBEG) check complete with        0 total errors (errmax=  4.1902e-08)
    d(Node)/d(YBEG) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "ZBEG"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ZBEG" for ibody=6
    d(Face)/d(ZBEG) check complete with        0 total errors (errmax=  6.3332e-08)
    d(Edge)/d(ZBEG) check complete with        0 total errors (errmax=  6.2791e-08)
    d(Node)/d(ZBEG) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "XEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "XEND" for ibody=6
    d(Face)/d(XEND) check complete with        0 total errors (errmax=  1.4392e-07)
    d(Edge)/d(XEND) check complete with        0 total errors (errmax=  1.4434e-07)
    d(Node)/d(XEND) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "YEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "YEND" for ibody=6
    d(Face)/d(YEND) check complete with        0 total errors (errmax=  4.2366e-08)
    d(Edge)/d(YEND) check complete with        0 total errors (errmax=  4.1416e-08)
    d(Node)/d(YEND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "ZEND"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "ZEND" for ibody=6
    d(Face)/d(ZEND) check complete with        0 total errors (errmax=  6.3546e-08)
    d(Edge)/d(ZEND) check complete with        0 total errors (errmax=  6.2923e-08)
    d(Node)/d(ZEND) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DX" for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.9289e-07)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.9578e-07)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DY" for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.0200e-08)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  3.9874e-08)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DZ" for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  3.5725e-08)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  3.5604e-08)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      0.570 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.9578e-07) with 0 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ4b.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "XBEG"
*********************************************************

Generating perturbed configuration with delta-XBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(XBEG) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(XBEG) check complete with        0 total errors (errmax=  3.9754e-05)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99900000    0.00000000    0.00000000, dist=   0.00100000 (at   -0.99900000    0.00000000    0.00000000)
    d(Node)/d(XBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "YBEG"
*********************************************************

Generating perturbed configuration with delta-YBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99949995    0.00049937   -0.00000001, dist=   0.00070670 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(YBEG) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(YBEG) check complete with        0 total errors (errmax=  3.9754e-05)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00100000    0.00000000, dist=   0.00100000 (at   -1.00000000    0.00100000    0.00000000)
    d(Node)/d(YBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "ZBEG"
*********************************************************

Generating perturbed configuration with delta-ZBEG[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -0.99977743    0.00022259    0.00088848, dist=   0.00094260 (at   -1.00000000    0.00000000    0.00000000)
iface=   2, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   3, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
iface=   4, ipnt=  68: anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000   -0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00000000)
    d(Face)/d(ZBEG) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(ZBEG) check complete with        0 total errors (errmax=  1.9877e-05)
inode=   1:            anal=  -1.00000000    0.00000000    0.00000000, ptrb=  -1.00000000    0.00000000    0.00100000, dist=   0.00100000 (at   -1.00000000    0.00000000    0.00100000)
    d(Node)/d(ZBEG) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "XEND"
*********************************************************

Generating perturbed configuration with delta-XEND[1,1]=   0.00400000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00221613   -0.00177779   -0.00088890, dist=   0.00297690 (at    4.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00199398    0.00199934   -0.00000000, dist=   0.00282370 (at    4.00000000    0.00000000    0.00000000)
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00221613    0.00177779    0.00088890, dist=   0.00297690 (at    4.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00199398   -0.00199934    0.00000000, dist=   0.00282370 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(XEND) check complete with        4 total errors (errmax=  2.9769e-03)
    d(Edge)/d(XEND) check complete with        0 total errors (errmax=  9.9872e-05)
inode=   2:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00400000    0.00000000    0.00000000, dist=   0.00400000 (at    4.00400000    0.00000000    0.00000000)
    d(Node)/d(XEND) check complete with        1 total errors (errmax=  4.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "YEND"
*********************************************************

Generating perturbed configuration with delta-YEND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   3.99949995    0.00049937    0.00000001, dist=   0.00070670 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(YEND) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(YEND) check complete with        0 total errors (errmax=  3.9754e-05)
inode=   2:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00100000    0.00000000, dist=   0.00100000 (at    4.00000000    0.00100000    0.00000000)
    d(Node)/d(YEND) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "ZEND"
*********************************************************

Generating perturbed configuration with delta-ZEND[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
iface=   1, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   3.99977743   -0.00022259    0.00088848, dist=   0.00094260 (at    4.00000000    0.00000000    0.00000000)
iface=   2, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   3, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
iface=   4, ipnt=   0: anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00000000)
    d(Face)/d(ZEND) check complete with        4 total errors (errmax=  1.0000e-03)
    d(Edge)/d(ZEND) check complete with        0 total errors (errmax=  1.9877e-05)
inode=   2:            anal=   4.00000000    0.00000000    0.00000000, ptrb=   4.00000000    0.00000000    0.00100000, dist=   0.00100000 (at    4.00000000    0.00000000    0.00100000)
    d(Node)/d(ZEND) check complete with        1 total errors (errmax=  1.0000e-03)
 

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.3065e-06)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  2.4441e-06)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.5944e-07)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.5944e-07)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=6
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  3.9083e-08)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  3.9083e-08)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      0.881 sec

Sensitivity checks complete with       30 total errors (max tessel err=  4.0000e-03) with 0 suppressions
+ for i in '$CSMFILES'
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -config -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DX" for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DX" for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  6, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  6, inode=  3
Tests suppressed for ibody=  6, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "DX" for ibody=9
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  9, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  9, inode=  3
Tests suppressed for ibody=  9, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "DX" for ibody=12
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody= 12, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody= 12, inode=  3
Tests suppressed for ibody= 12, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "DX" for ibody=15
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody= 15, iedge=  2
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody= 15, inode=  3
Tests suppressed for ibody= 15, inode=  4
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "DX" for ibody=18
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "DX" for ibody=20
    d(Face)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23

Comparing configuration sensitivities wrt "DX" for ibody=23
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "DX" for ibody=26
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28

Comparing configuration sensitivities wrt "DX" for ibody=28
    d(Face)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DY" for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DY" for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  6, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody=  6, inode=  3
Tests suppressed for ibody=  6, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "DY" for ibody=9
    d(Face)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  9, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody=  9, inode=  3
Tests suppressed for ibody=  9, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "DY" for ibody=12
    d(Face)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody= 12, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Tests suppressed for ibody= 12, inode=  3
Tests suppressed for ibody= 12, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "DY" for ibody=15
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody= 15, iedge=  2
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Tests suppressed for ibody= 15, inode=  3
Tests suppressed for ibody= 15, inode=  4
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "DY" for ibody=18
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "DY" for ibody=20
    d(Face)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23

Comparing configuration sensitivities wrt "DY" for ibody=23
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "DY" for ibody=26
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28

Comparing configuration sensitivities wrt "DY" for ibody=28
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  1.3978e-10)
 

*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************

Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3

Comparing configuration sensitivities wrt "DZ" for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  3, inode=  3
Tests suppressed for ibody=  3, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6

Comparing configuration sensitivities wrt "DZ" for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  6, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  6, inode=  3
Tests suppressed for ibody=  6, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9

Comparing configuration sensitivities wrt "DZ" for ibody=9
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  9, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody=  9, inode=  3
Tests suppressed for ibody=  9, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12

Comparing configuration sensitivities wrt "DZ" for ibody=12
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody= 12, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Tests suppressed for ibody= 12, inode=  3
Tests suppressed for ibody= 12, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15

Comparing configuration sensitivities wrt "DZ" for ibody=15
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
Tests suppressed for ibody= 15, iedge=  2
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
Tests suppressed for ibody= 15, inode=  3
Tests suppressed for ibody= 15, inode=  4
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18

Comparing configuration sensitivities wrt "DZ" for ibody=18
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20

Comparing configuration sensitivities wrt "DZ" for ibody=20
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23

Comparing configuration sensitivities wrt "DZ" for ibody=23
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26

Comparing configuration sensitivities wrt "DZ" for ibody=26
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28

Comparing configuration sensitivities wrt "DZ" for ibody=28
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  8.2267e-11)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetVel     ->      1.373 sec

Sensitivity checks complete with        0 tnotal errors (max config err=  1.3978e-10) with 45 suppressions
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/sensCSM -tessel -outLevel 0 ../../OpenCSM/trunk/data/basic/designJ5.csm
--> ocsmCheck() -> status=0 (success)
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!

*********************************************************
Starting tessellation sensitivity wrt "DX"
*********************************************************

Generating perturbed configuration with delta-DX[1,1]=   0.00300000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   4, ipnt=   0: anal=   3.00000000   -1.00000000    0.00000000, ptrb=   3.00300000   -1.00000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.00000000)
iedge=   4, ipnt=   1: anal=   3.00000000   -0.93750000    0.00000000, ptrb=   3.00300000   -0.93750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.93750000    0.00000000)
iedge=   4, ipnt=   2: anal=   3.00000000   -0.87500000    0.00000000, ptrb=   3.00300000   -0.87500000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.87500000    0.00000000)
iedge=   4, ipnt=   3: anal=   3.00000000   -0.81250000    0.00000000, ptrb=   3.00300000   -0.81250000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.81250000    0.00000000)
iedge=   4, ipnt=   4: anal=   3.00000000   -0.75000000    0.00000000, ptrb=   3.00300000   -0.75000000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.75000000    0.00000000)
iedge=   4, ipnt=   5: anal=   3.00000000   -0.68750000    0.00000000, ptrb=   3.00300000   -0.68750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.68750000    0.00000000)
iedge=   4, ipnt=   6: anal=   3.00000000   -0.62500000    0.00000000, ptrb=   3.00300000   -0.62500000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.62500000    0.00000000)
iedge=   4, ipnt=   7: anal=   3.00000000   -0.56250000    0.00000000, ptrb=   3.00300000   -0.56250000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.56250000    0.00000000)
iedge=   4, ipnt=   8: anal=   3.00000000   -0.50000000    0.00000000, ptrb=   3.00300000   -0.50000000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.50000000    0.00000000)
iedge=   4, ipnt=   9: anal=   3.00000000   -0.43750000    0.00000000, ptrb=   3.00300000   -0.43750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.43750000    0.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with       33 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=6
Tests suppressed for ibody=  6, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   4, ipnt=   0: anal=   3.00000000   -1.00000000    0.00000000, ptrb=   3.00300000   -1.00000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.00000000    0.00000000)
iedge=   4, ipnt=   1: anal=   3.00000000   -0.93750000    0.00000000, ptrb=   3.00300000   -0.93750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.93750000    0.00000000)
iedge=   4, ipnt=   2: anal=   3.00000000   -0.87500000    0.00000000, ptrb=   3.00300000   -0.87500000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.87500000    0.00000000)
iedge=   4, ipnt=   3: anal=   3.00000000   -0.81250000    0.00000000, ptrb=   3.00300000   -0.81250000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.81250000    0.00000000)
iedge=   4, ipnt=   4: anal=   3.00000000   -0.75000000    0.00000000, ptrb=   3.00300000   -0.75000000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.75000000    0.00000000)
iedge=   4, ipnt=   5: anal=   3.00000000   -0.68750000    0.00000000, ptrb=   3.00300000   -0.68750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.68750000    0.00000000)
iedge=   4, ipnt=   6: anal=   3.00000000   -0.62500000    0.00000000, ptrb=   3.00300000   -0.62500000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.62500000    0.00000000)
iedge=   4, ipnt=   7: anal=   3.00000000   -0.56250000    0.00000000, ptrb=   3.00300000   -0.56250000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.56250000    0.00000000)
iedge=   4, ipnt=   8: anal=   3.00000000   -0.50000000    0.00000000, ptrb=   3.00300000   -0.50000000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.50000000    0.00000000)
iedge=   4, ipnt=   9: anal=   3.00000000   -0.43750000    0.00000000, ptrb=   3.00300000   -0.43750000    0.00000000, dist=   0.00300000 (at    3.00000000   -0.43750000    0.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with       33 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=9
Tests suppressed for ibody=  9, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   4, ipnt=   0: anal=   3.00000000   -2.00000000    0.00000000, ptrb=   3.00300000   -2.00000000    0.00000000, dist=   0.00300000 (at    3.00000000   -2.00000000    0.00000000)
iedge=   4, ipnt=   1: anal=   3.00000000   -1.93750000    0.00000000, ptrb=   3.00300000   -1.93750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.93750000    0.00000000)
iedge=   4, ipnt=   2: anal=   3.00000000   -1.87500000    0.00000000, ptrb=   3.00300000   -1.87500000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.87500000    0.00000000)
iedge=   4, ipnt=   3: anal=   3.00000000   -1.81250000    0.00000000, ptrb=   3.00300000   -1.81250000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.81250000    0.00000000)
iedge=   4, ipnt=   4: anal=   3.00000000   -1.75000000    0.00000000, ptrb=   3.00300000   -1.75000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.75000000    0.00000000)
iedge=   4, ipnt=   5: anal=   3.00000000   -1.68750000    0.00000000, ptrb=   3.00300000   -1.68750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.68750000    0.00000000)
iedge=   4, ipnt=   6: anal=   3.00000000   -1.62500000    0.00000000, ptrb=   3.00300000   -1.62500000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.62500000    0.00000000)
iedge=   4, ipnt=   7: anal=   3.00000000   -1.56250000    0.00000000, ptrb=   3.00300000   -1.56250000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.56250000    0.00000000)
iedge=   4, ipnt=   8: anal=   3.00000000   -1.50000000    0.00000000, ptrb=   3.00300000   -1.50000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.50000000    0.00000000)
iedge=   4, ipnt=   9: anal=   3.00000000   -1.43750000    0.00000000, ptrb=   3.00300000   -1.43750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.43750000    0.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with       33 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=12
Tests suppressed for ibody= 12, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
iedge=   4, ipnt=   0: anal=   3.00000000   -2.00000000    0.00000000, ptrb=   3.00300000   -2.00000000    0.00000000, dist=   0.00300000 (at    3.00000000   -2.00000000    0.00000000)
iedge=   4, ipnt=   1: anal=   3.00000000   -1.93750000    0.00000000, ptrb=   3.00300000   -1.93750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.93750000    0.00000000)
iedge=   4, ipnt=   2: anal=   3.00000000   -1.87500000    0.00000000, ptrb=   3.00300000   -1.87500000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.87500000    0.00000000)
iedge=   4, ipnt=   3: anal=   3.00000000   -1.81250000    0.00000000, ptrb=   3.00300000   -1.81250000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.81250000    0.00000000)
iedge=   4, ipnt=   4: anal=   3.00000000   -1.75000000    0.00000000, ptrb=   3.00300000   -1.75000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.75000000    0.00000000)
iedge=   4, ipnt=   5: anal=   3.00000000   -1.68750000    0.00000000, ptrb=   3.00300000   -1.68750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.68750000    0.00000000)
iedge=   4, ipnt=   6: anal=   3.00000000   -1.62500000    0.00000000, ptrb=   3.00300000   -1.62500000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.62500000    0.00000000)
iedge=   4, ipnt=   7: anal=   3.00000000   -1.56250000    0.00000000, ptrb=   3.00300000   -1.56250000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.56250000    0.00000000)
iedge=   4, ipnt=   8: anal=   3.00000000   -1.50000000    0.00000000, ptrb=   3.00300000   -1.50000000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.50000000    0.00000000)
iedge=   4, ipnt=   9: anal=   3.00000000   -1.43750000    0.00000000, ptrb=   3.00300000   -1.43750000    0.00000000, dist=   0.00300000 (at    3.00000000   -1.43750000    0.00000000)
...too many errors to list
    d(Edge)/d(DX) check complete with       33 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=15
Tests suppressed for ibody= 15, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(DX) check complete with        0 total errors (errmax=  2.2204e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=23
Computing distances of perturbed points from perturbed configuration for ibody=23
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=28
Computing distances of perturbed points from perturbed configuration for ibody=28
    d(Face)/d(DX) check complete with        0 total errors (errmax=  5.5511e-16)
    d(Edge)/d(DX) check complete with        0 total errors (errmax=  3.0000e-03)
    d(Node)/d(DX) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DY"
*********************************************************

Generating perturbed configuration with delta-DY[1,1]=   0.00200000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
iedge=   1, ipnt=   0: anal=   0.00000000   -1.00000000    0.00000000, ptrb=   0.00000000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.00000000   -1.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   0.04687500   -1.00000000    0.00000000, ptrb=   0.04687500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.04687500   -1.00000000    0.00000000)
iedge=   1, ipnt=   2: anal=   0.09375000   -1.00000000    0.00000000, ptrb=   0.09375000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.09375000   -1.00000000    0.00000000)
iedge=   1, ipnt=   3: anal=   0.14062500   -1.00000000    0.00000000, ptrb=   0.14062500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.14062500   -1.00000000    0.00000000)
iedge=   1, ipnt=   4: anal=   0.18750000   -1.00000000    0.00000000, ptrb=   0.18750000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.18750000   -1.00000000    0.00000000)
iedge=   1, ipnt=   5: anal=   0.23437500   -1.00000000    0.00000000, ptrb=   0.23437500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.23437500   -1.00000000    0.00000000)
iedge=   1, ipnt=   6: anal=   0.28125000   -1.00000000    0.00000000, ptrb=   0.28125000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.28125000   -1.00000000    0.00000000)
iedge=   1, ipnt=   7: anal=   0.32812500   -1.00000000    0.00000000, ptrb=   0.32812500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.32812500   -1.00000000    0.00000000)
iedge=   1, ipnt=   8: anal=   0.37500000   -1.00000000    0.00000000, ptrb=   0.37500000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.37500000   -1.00000000    0.00000000)
iedge=   1, ipnt=   9: anal=   0.42187500   -1.00000000    0.00000000, ptrb=   0.42187500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.42187500   -1.00000000    0.00000000)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  1.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=6
Tests suppressed for ibody=  6, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
iedge=   1, ipnt=   0: anal=   0.00000000   -1.00000000    0.00000000, ptrb=   0.00000000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.00000000   -1.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   0.04687500   -1.00000000    0.00000000, ptrb=   0.04687500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.04687500   -1.00000000    0.00000000)
iedge=   1, ipnt=   2: anal=   0.09375000   -1.00000000    0.00000000, ptrb=   0.09375000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.09375000   -1.00000000    0.00000000)
iedge=   1, ipnt=   3: anal=   0.14062500   -1.00000000    0.00000000, ptrb=   0.14062500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.14062500   -1.00000000    0.00000000)
iedge=   1, ipnt=   4: anal=   0.18750000   -1.00000000    0.00000000, ptrb=   0.18750000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.18750000   -1.00000000    0.00000000)
iedge=   1, ipnt=   5: anal=   0.23437500   -1.00000000    0.00000000, ptrb=   0.23437500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.23437500   -1.00000000    0.00000000)
iedge=   1, ipnt=   6: anal=   0.28125000   -1.00000000    0.00000000, ptrb=   0.28125000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.28125000   -1.00000000    0.00000000)
iedge=   1, ipnt=   7: anal=   0.32812500   -1.00000000    0.00000000, ptrb=   0.32812500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.32812500   -1.00000000    0.00000000)
iedge=   1, ipnt=   8: anal=   0.37500000   -1.00000000    0.00000000, ptrb=   0.37500000   -1.00100000    0.00000000, dist=   0.00100000 (at    0.37500000   -1.00000000    0.00000000)
iedge=   1, ipnt=   9: anal=   0.42187500   -1.00000000    0.00000000, ptrb=   0.42187500   -1.00100000    0.00000000, dist=   0.00100000 (at    0.42187500   -1.00000000    0.00000000)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  1.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=9
Tests suppressed for ibody=  9, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
iedge=   1, ipnt=   0: anal=   0.00000000   -2.00000000    0.00000000, ptrb=   0.00000000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.00000000   -2.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   0.04687500   -2.00000000    0.00000000, ptrb=   0.04687500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.04687500   -2.00000000    0.00000000)
iedge=   1, ipnt=   2: anal=   0.09375000   -2.00000000    0.00000000, ptrb=   0.09375000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.09375000   -2.00000000    0.00000000)
iedge=   1, ipnt=   3: anal=   0.14062500   -2.00000000    0.00000000, ptrb=   0.14062500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.14062500   -2.00000000    0.00000000)
iedge=   1, ipnt=   4: anal=   0.18750000   -2.00000000    0.00000000, ptrb=   0.18750000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.18750000   -2.00000000    0.00000000)
iedge=   1, ipnt=   5: anal=   0.23437500   -2.00000000    0.00000000, ptrb=   0.23437500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.23437500   -2.00000000    0.00000000)
iedge=   1, ipnt=   6: anal=   0.28125000   -2.00000000    0.00000000, ptrb=   0.28125000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.28125000   -2.00000000    0.00000000)
iedge=   1, ipnt=   7: anal=   0.32812500   -2.00000000    0.00000000, ptrb=   0.32812500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.32812500   -2.00000000    0.00000000)
iedge=   1, ipnt=   8: anal=   0.37500000   -2.00000000    0.00000000, ptrb=   0.37500000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.37500000   -2.00000000    0.00000000)
iedge=   1, ipnt=   9: anal=   0.42187500   -2.00000000    0.00000000, ptrb=   0.42187500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.42187500   -2.00000000    0.00000000)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=12
Tests suppressed for ibody= 12, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
iedge=   1, ipnt=   0: anal=   0.00000000   -2.00000000    0.00000000, ptrb=   0.00000000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.00000000   -2.00000000    0.00000000)
iedge=   1, ipnt=   1: anal=   0.04687500   -2.00000000    0.00000000, ptrb=   0.04687500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.04687500   -2.00000000    0.00000000)
iedge=   1, ipnt=   2: anal=   0.09375000   -2.00000000    0.00000000, ptrb=   0.09375000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.09375000   -2.00000000    0.00000000)
iedge=   1, ipnt=   3: anal=   0.14062500   -2.00000000    0.00000000, ptrb=   0.14062500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.14062500   -2.00000000    0.00000000)
iedge=   1, ipnt=   4: anal=   0.18750000   -2.00000000    0.00000000, ptrb=   0.18750000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.18750000   -2.00000000    0.00000000)
iedge=   1, ipnt=   5: anal=   0.23437500   -2.00000000    0.00000000, ptrb=   0.23437500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.23437500   -2.00000000    0.00000000)
iedge=   1, ipnt=   6: anal=   0.28125000   -2.00000000    0.00000000, ptrb=   0.28125000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.28125000   -2.00000000    0.00000000)
iedge=   1, ipnt=   7: anal=   0.32812500   -2.00000000    0.00000000, ptrb=   0.32812500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.32812500   -2.00000000    0.00000000)
iedge=   1, ipnt=   8: anal=   0.37500000   -2.00000000    0.00000000, ptrb=   0.37500000   -2.00200000    0.00000000, dist=   0.00200000 (at    0.37500000   -2.00000000    0.00000000)
iedge=   1, ipnt=   9: anal=   0.42187500   -2.00000000    0.00000000, ptrb=   0.42187500   -2.00200000    0.00000000, dist=   0.00200000 (at    0.42187500   -2.00000000    0.00000000)
...too many errors to list
    d(Edge)/d(DY) check complete with       65 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=15
Tests suppressed for ibody= 15, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(DY) check complete with        0 total errors (errmax=  1.1102e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=23
Computing distances of perturbed points from perturbed configuration for ibody=23
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=28
Computing distances of perturbed points from perturbed configuration for ibody=28
    d(Face)/d(DY) check complete with        0 total errors (errmax=  4.5776e-16)
    d(Edge)/d(DY) check complete with        0 total errors (errmax=  2.0000e-03)
    d(Node)/d(DY) check complete with        0 total errors (errmax=  0.0000e+00)
 

*********************************************************
Starting tessellation sensitivity wrt "DZ"
*********************************************************

Generating perturbed configuration with delta-DZ[1,1]=   0.00100000
Computing analytic sensitivities (if possible) for ibody=3
Tests suppressed for ibody=  3, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=3
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=6
Tests suppressed for ibody=  6, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=6
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=9
Tests suppressed for ibody=  9, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=9
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=12
Tests suppressed for ibody= 12, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=12
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=15
Tests suppressed for ibody= 15, iedge=  2
Computing distances of perturbed points from perturbed configuration for ibody=15
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=18
Computing distances of perturbed points from perturbed configuration for ibody=18
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=20
Computing distances of perturbed points from perturbed configuration for ibody=20
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=23
Computing distances of perturbed points from perturbed configuration for ibody=23
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.6959e-16)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=26
Computing distances of perturbed points from perturbed configuration for ibody=26
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.6959e-16)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=28
Computing distances of perturbed points from perturbed configuration for ibody=28
    d(Face)/d(DZ) check complete with        0 total errors (errmax=  4.6959e-16)
    d(Edge)/d(DZ) check complete with        0 total errors (errmax=  5.5511e-17)
    d(Node)/d(DZ) check complete with        0 total errors (errmax=  0.0000e+00)
 
==> sensCSM completed successfully

Total CPU time in ocsmGetTessVel ->      1.964 sec

Sensitivity checks complete with      392 total errors (max tessel err=  3.0000e-03) with 15 suppressions
+ cd /jenkins/workspace/ESP_Coverage/EGADS/trunk/test
+ ./runUnitTest.sh

=================================================
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsGeom_dot
+ tee -a /jenkins/workspace/ESP_Coverage/EGADS/trunk/test/egadslog.txt
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 Line np1 = 33
 Trsf Line Edge 1 np1 = 65
 Circle np1 = 65
 Trsf Circle Edge 1 np1 = 129
 Ellipse np1 = 40
 Trsf Ellipse Edge 1 np1 = 42
 Parabola np1 = 33
 Trsf Parabola Edge 1 np1 = 33
 Hyperbola np1 = 47
 Trsf Hyperbola Edge 1 np1 = 59
 Offset Curve np1 = 14
 Trsf Offset Curve Edge 1 np1 = 16
 Bezier np1 = 35
 Trsf Bezier Edge 1 np1 = 43
 B-spline np1 = 33
 Trsf B-spline Curve Edge 1 np1 = 65
 Plane Edge 1 np1 = 9
 Plane Edge 2 np1 = 7
 Plane Edge 3 np1 = 9
 Plane Edge 4 np1 = 7
 Plane Face 1 np1 = 63
 Trsf Plane Edge 1 np1 = 9
 Trsf Plane Edge 2 np1 = 9
 Trsf Plane Edge 3 np1 = 9
 Trsf Plane Edge 4 np1 = 9
 Trsf Plane Face 1 np1 = 81
 Spherical Edge 1 np1 = 21
 Spherical Edge 2 np1 = 2
 Spherical Edge 3 np1 = 2
 Spherical Face 1 np1 = 831
 Trsf Spherical Edge 1 np1 = 37
 Trsf Spherical Edge 2 np1 = 2
 Trsf Spherical Edge 3 np1 = 2
 Trsf Spherical Face 1 np1 = 1276
 Spherical Edge 1 np1 = 21
 Spherical Edge 2 np1 = 2
 Spherical Edge 3 np1 = 2
 Spherical Face 1 np1 = 846
 Trsf Spherical Edge 1 np1 = 37
 Trsf Spherical Edge 2 np1 = 2
 Trsf Spherical Edge 3 np1 = 2
 Trsf Spherical Face 1 np1 = 1286
 Conical Edge 1 np1 = 15
 Conical Edge 2 np1 = 2
 Conical Edge 3 np1 = 33
 Conical Face 1 np1 = 463
 Trsf Conical Edge 1 np1 = 23
 Trsf Conical Edge 2 np1 = 2
 Trsf Conical Edge 3 np1 = 65
 Trsf Conical Face 1 np1 = 1431
 Cylindrical Edge 1 np1 = 9
 Cylindrical Edge 2 np1 = 33
 Cylindrical Edge 3 np1 = 33
 Cylindrical Face 1 np1 = 297
 Trsf Cylindrical Edge 1 np1 = 9
 Trsf Cylindrical Edge 2 np1 = 65
 Trsf Cylindrical Edge 3 np1 = 65
 Trsf Cylindrical Face 1 np1 = 585
 Toroidal Edge 1 np1 = 33
 Toroidal Edge 2 np1 = 33
 Toroidal Edge 3 np1 = 33
 Toroidal Face 1 np1 = 1089
 Trsf Toroidal Edge 1 np1 = 33
 Trsf Toroidal Edge 2 np1 = 65
 Trsf Toroidal Edge 3 np1 = 33
 Trsf Toroidal Face 1 np1 = 2145
 Revolution Edge 1 np1 = 17
 Revolution Edge 2 np1 = 33
 Revolution Edge 3 np1 = 33
 Revolution Face 1 np1 = 561
 Trsf Revolution Edge 1 np1 = 17
 Trsf Revolution Edge 2 np1 = 65
 Trsf Revolution Edge 3 np1 = 65
 Trsf Revolution Face 1 np1 = 1105
 Extrusion Edge 1 np1 = 65
 Extrusion Edge 2 np1 = 33
 Extrusion Edge 3 np1 = 33
 Extrusion Face 1 np1 = 2145
 Trsf Extrusion Edge 1 np1 = 65
 Trsf Extrusion Edge 2 np1 = 65
 Trsf Extrusion Edge 3 np1 = 65
 Trsf Extrusion Face 1 np1 = 4225
 Bezier Surface Edge 1 np1 = 17
 Bezier Surface Edge 2 np1 = 20
 Bezier Surface Edge 3 np1 = 17
 Bezier Surface Edge 4 np1 = 20
 Bezier Surface Face 1 np1 = 340
 Trsf Bezier Surface Edge 1 np1 = 33
 Trsf Bezier Surface Edge 2 np1 = 24
 Trsf Bezier Surface Edge 3 np1 = 33
 Trsf Bezier Surface Edge 4 np1 = 24
 Trsf Bezier Surface Face 1 np1 = 792
 Offset Surface Edge 1 np1 = 9
 Offset Surface Edge 2 np1 = 8
 Offset Surface Edge 3 np1 = 8
 Offset Surface Edge 4 np1 = 7
 Offset Surface Face 1 np1 = 65
 Trsf Offset Surface Edge 1 np1 = 9
 Trsf Offset Surface Edge 2 np1 = 9
 Trsf Offset Surface Edge 3 np1 = 9
 Trsf Offset Surface Edge 4 np1 = 9
 Trsf Offset Surface Face 1 np1 = 81
 B-spline Surface Edge 1 np1 = 17
 B-spline Surface Edge 2 np1 = 35
 B-spline Surface Edge 3 np1 = 17
 B-spline Surface Edge 4 np1 = 35
 B-spline Surface Face 1 np1 = 595
 Trsf B-spline Surface Edge 1 np1 = 33
 Trsf B-spline Surface Edge 2 np1 = 35
 Trsf B-spline Surface Edge 3 np1 = 33
 Trsf B-spline Surface Edge 4 np1 = 35
 Trsf B-spline Surface Face 1 np1 = 1155
 EGADS Error: Inconsistent Node geometry data! (EG_setGeometry_dot)
     data[0] 0.000000 : 2.000000
     data[1] 1.000000 : 0.000000
     data[2] 2.000000 : 1.000000
 EGADS Error: Object Node is not expected LOOP (EG_setGeometry_dot)!
 EGADS Error: Inconsistent geometry data! (EG_setGeometry_dot)
     data[0] 0.000000 : 0.000000
     data[1] 0.000000 : 0.000000
     data[2] 0.000000 : 0.000000
     data[3] 0.534522 : 0.267261
     data[4] 0.267261 : 0.534522
     data[5] 0.801784 : 0.801784
 EGADS Error: Object CURVE CIRCLE is not expected SURFACE PLANE (EG_setGeometry_dot)!
 EGADS Error: Object CURVE CIRCLE is not expected CURVE CIRCLE (EG_setGeometry_dot)!
 EGADS Info: Shape 1 has 2 Nodes, 1 Edges, 1 Loops, 0 Faces and 0 Shells
 EGADS Error: Inconsistent geometry data! (EG_setGeometry_dot)
     data[0] 0.000000 : 0.000000
     data[1] 0.000000 : 0.000000
     data[2] 0.000000 : 0.000000
     data[3] 1.000000 : 1.000000
     data[4] 0.000000 : 0.000000
     data[5] 0.000000 : 0.000000
     data[6] 0.000000 : 0.000000
     data[7] 1.000000 : 1.000000
     data[8] 0.000000 : 0.000000
     data[9] 2.000000 : 1.400000
 EGADS Error: Object SURFACE CYLINDER is not expected CURVE CIRCLE (EG_setGeometry_dot)!
 EGADS Error: Object SURFACE CYLINDER is not expected SURFACE CONICAL (EG_setGeometry_dot)!
 EGADS Info: Shape 1 has 2 Nodes, 3 Edges, 1 Loops, 1 Faces and 0 Shells
 EGADS Info: 4036 Objects, 8945 Reference in Use (of 13411) at Close!
 EGADS Info: 4036 unattached Objects (8945 References) removed!
 EGADS_SUCCESS!

real	0m4.079s
user	0m4.092s
sys	0m0.016s
+ status=0
+ set +x

=================================================
EGADS test egadsGeom_dot passed (as expected)
=================================================


=================================================
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsSpline_dot
+ tee -a /jenkins/workspace/ESP_Coverage/EGADS/trunk/test/egadslog.txt
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 ---------------------------------
 Equiv Ruled NACA dir -1 sharpte 0
 Equiv Ruled NACA Edge 1 np1 = 6
 Equiv Ruled NACA Edge 2 np1 = 7
 Equiv Ruled NACA Edge 3 np1 = 5
 Equiv Ruled NACA Edge 4 np1 = 7
 Equiv Ruled NACA Edge 5 np1 = 6
 Equiv Ruled NACA Edge 6 np1 = 5
 Equiv Ruled NACA Edge 7 np1 = 6
 Equiv Ruled NACA Edge 8 np1 = 7
 Equiv Ruled NACA Edge 9 np1 = 6
 Equiv Ruled NACA Edge 10 np1 = 7
 Equiv Ruled NACA Edge 11 np1 = 6
 Equiv Ruled NACA Edge 12 np1 = 6
 Equiv Ruled NACA Edge 13 np1 = 2
 Equiv Ruled NACA Edge 14 np1 = 2
 Equiv Ruled NACA Edge 15 np1 = 2
 Equiv Ruled NACA Face 1 np1 = 36
 Equiv Ruled NACA Face 2 np1 = 36
 Equiv Ruled NACA Face 3 np1 = 36
 Equiv Ruled NACA Face 4 np1 = 36
 Equiv Ruled NACA Face 5 np1 = 12
 Equiv Ruled NACA Face 6 np1 = 12
 Equiv Ruled NACA Face 7 np1 = 13
 Equiv Ruled NACA Face 8 np1 = 11
 ---------------------------------
 Equiv Ruled NACA dir +1 sharpte 0
 Equiv Ruled NACA Edge 1 np1 = 6
 Equiv Ruled NACA Edge 2 np1 = 7
 Equiv Ruled NACA Edge 3 np1 = 5
 Equiv Ruled NACA Edge 4 np1 = 7
 Equiv Ruled NACA Edge 5 np1 = 6
 Equiv Ruled NACA Edge 6 np1 = 5
 Equiv Ruled NACA Edge 7 np1 = 6
 Equiv Ruled NACA Edge 8 np1 = 7
 Equiv Ruled NACA Edge 9 np1 = 6
 Equiv Ruled NACA Edge 10 np1 = 7
 Equiv Ruled NACA Edge 11 np1 = 6
 Equiv Ruled NACA Edge 12 np1 = 6
 Equiv Ruled NACA Edge 13 np1 = 2
 Equiv Ruled NACA Edge 14 np1 = 2
 Equiv Ruled NACA Edge 15 np1 = 2
 Equiv Ruled NACA Face 1 np1 = 36
 Equiv Ruled NACA Face 2 np1 = 36
 Equiv Ruled NACA Face 3 np1 = 36
 Equiv Ruled NACA Face 4 np1 = 36
 Equiv Ruled NACA Face 5 np1 = 12
 Equiv Ruled NACA Face 6 np1 = 12
 Equiv Ruled NACA Face 7 np1 = 13
 Equiv Ruled NACA Face 8 np1 = 11
 ---------------------------------
 Equiv Ruled NACA dir -1 sharpte 1
 Equiv Ruled NACA Edge 1 np1 = 5
 Equiv Ruled NACA Edge 2 np1 = 7
 Equiv Ruled NACA Edge 3 np1 = 5
 Equiv Ruled NACA Edge 4 np1 = 7
 Equiv Ruled NACA Edge 5 np1 = 5
 Equiv Ruled NACA Edge 6 np1 = 5
 Equiv Ruled NACA Edge 7 np1 = 6
 Equiv Ruled NACA Edge 8 np1 = 7
 Equiv Ruled NACA Edge 9 np1 = 7
 Equiv Ruled NACA Edge 10 np1 = 6
 Equiv Ruled NACA Face 1 np1 = 35
 Equiv Ruled NACA Face 2 np1 = 31
 Equiv Ruled NACA Face 3 np1 = 35
 Equiv Ruled NACA Face 4 np1 = 31
 Equiv Ruled NACA Face 5 np1 = 12
 Equiv Ruled NACA Face 6 np1 = 10
 ---------------------------------
 Equiv Ruled NACA dir +1 sharpte 1
 Equiv Ruled NACA Edge 1 np1 = 5
 Equiv Ruled NACA Edge 2 np1 = 7
 Equiv Ruled NACA Edge 3 np1 = 5
 Equiv Ruled NACA Edge 4 np1 = 7
 Equiv Ruled NACA Edge 5 np1 = 5
 Equiv Ruled NACA Edge 6 np1 = 5
 Equiv Ruled NACA Edge 7 np1 = 6
 Equiv Ruled NACA Edge 8 np1 = 7
 Equiv Ruled NACA Edge 9 np1 = 7
 Equiv Ruled NACA Edge 10 np1 = 6
 Equiv Ruled NACA Face 1 np1 = 35
 Equiv Ruled NACA Face 2 np1 = 31
 Equiv Ruled NACA Face 3 np1 = 35
 Equiv Ruled NACA Face 4 np1 = 31
 Equiv Ruled NACA Face 5 np1 = 12
 Equiv Ruled NACA Face 6 np1 = 10
 ---------------------------------
 Equiv Blend NACA dir -1 sharpte 0
 Equiv Blend NACA Edge 1 np1 = 13
 Equiv Blend NACA Edge 2 np1 = 6
 Equiv Blend NACA Edge 3 np1 = 9
 Equiv Blend NACA Edge 4 np1 = 5
 Equiv Blend NACA Edge 5 np1 = 6
 Equiv Blend NACA Edge 6 np1 = 12
 Equiv Blend NACA Edge 7 np1 = 5
 Equiv Blend NACA Edge 8 np1 = 3
 Equiv Blend NACA Edge 9 np1 = 2
 Equiv Blend NACA Edge 10 np1 = 3
 Equiv Blend NACA Edge 11 np1 = 4
 Equiv Blend NACA Edge 12 np1 = 2
 Equiv Blend NACA Edge 13 np1 = 3
 Equiv Blend NACA Edge 14 np1 = 2
 Equiv Blend NACA Edge 15 np1 = 2
 Equiv Blend NACA Face 1 np1 = 60
 Equiv Blend NACA Face 2 np1 = 59
 Equiv Blend NACA Face 3 np1 = 50
 Equiv Blend NACA Face 4 np1 = 197
 Equiv Blend NACA Face 5 np1 = 305
 ---------------------------------
 Equiv Blend NACA dir +1 sharpte 0
 Equiv Blend NACA Edge 1 np1 = 13
 Equiv Blend NACA Edge 2 np1 = 6
 Equiv Blend NACA Edge 3 np1 = 9
 Equiv Blend NACA Edge 4 np1 = 5
 Equiv Blend NACA Edge 5 np1 = 6
 Equiv Blend NACA Edge 6 np1 = 12
 Equiv Blend NACA Edge 7 np1 = 5
 Equiv Blend NACA Edge 8 np1 = 3
 Equiv Blend NACA Edge 9 np1 = 2
 Equiv Blend NACA Edge 10 np1 = 3
 Equiv Blend NACA Edge 11 np1 = 4
 Equiv Blend NACA Edge 12 np1 = 2
 Equiv Blend NACA Edge 13 np1 = 3
 Equiv Blend NACA Edge 14 np1 = 2
 Equiv Blend NACA Edge 15 np1 = 2
 Equiv Blend NACA Face 1 np1 = 60
 Equiv Blend NACA Face 2 np1 = 59
 Equiv Blend NACA Face 3 np1 = 50
 Equiv Blend NACA Face 4 np1 = 198
 Equiv Blend NACA Face 5 np1 = 298
 ---------------------------------
 Equiv Blend NACA dir -1 sharpte 1
 Equiv Blend NACA Edge 1 np1 = 9
 Equiv Blend NACA Edge 2 np1 = 7
 Equiv Blend NACA Edge 3 np1 = 9
 Equiv Blend NACA Edge 4 np1 = 5
 Equiv Blend NACA Edge 5 np1 = 7
 Equiv Blend NACA Edge 6 np1 = 5
 Equiv Blend NACA Edge 7 np1 = 2
 Equiv Blend NACA Edge 8 np1 = 2
 Equiv Blend NACA Edge 9 np1 = 2
 Equiv Blend NACA Edge 10 np1 = 2
 Equiv Blend NACA Face 1 np1 = 53
 Equiv Blend NACA Face 2 np1 = 53
 Equiv Blend NACA Face 3 np1 = 22
 Equiv Blend NACA Face 4 np1 = 14
 ---------------------------------
 Equiv Blend NACA dir +1 sharpte 1
 Equiv Blend NACA Edge 1 np1 = 9
 Equiv Blend NACA Edge 2 np1 = 7
 Equiv Blend NACA Edge 3 np1 = 9
 Equiv Blend NACA Edge 4 np1 = 5
 Equiv Blend NACA Edge 5 np1 = 7
 Equiv Blend NACA Edge 6 np1 = 5
 Equiv Blend NACA Edge 7 np1 = 2
 Equiv Blend NACA Edge 8 np1 = 2
 Equiv Blend NACA Edge 9 np1 = 2
 Equiv Blend NACA Edge 10 np1 = 2
 Equiv Blend NACA Face 1 np1 = 53
 Equiv Blend NACA Face 2 np1 = 53
 Equiv Blend NACA Face 3 np1 = 22
 Equiv Blend NACA Face 4 np1 = 220
 EGADS Info: 696 Objects, 1100 Reference in Use (of 2115) at Close!
 EGADS Info: 120 unattached Objects (260 References) removed!
 EGADS_SUCCESS!

real	0m39.192s
user	0m40.692s
sys	0m0.032s
+ status=0
+ set +x

=================================================
EGADS test egadsSpline_dot passed (as expected)
=================================================


=================================================
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsHLevel_dot
+ tee -a /jenkins/workspace/ESP_Coverage/EGADS/trunk/test/egadslog.txt
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 Extrude Line Edge 1 np1 = 65
 Extrude Line Edge 2 np1 = 65
 Extrude Line Edge 3 np1 = 33
 Extrude Line Edge 4 np1 = 33
 Extrude Line Face 1 np1 = 2145
 EGADS Internal Error: Sensitivities not available for OCC extrude! (EG_extrude_dot)
 Failure -21 in pingExtrudeParam
 Failure -21 in pingExtrude
 Failure -21 in pingLineExtrude
 EGADS Info: 29 Objects, 38 Reference in Use (of 67) at Close!
 EGADS Info: 5 unattached Objects (9 References) removed!
 Overall Failure -21

real	0m0.067s
user	0m0.048s
sys	0m0.016s
+ status=1
+ set +x

=================================================
EGADS test egadsHLevel_dot failed (as expected)
=================================================


=================================================
+ /jenkins/workspace/ESP_Coverage/ESP/LINUX64/test/egadsTopo_dot
+ tee -a /jenkins/workspace/ESP_Coverage/EGADS/trunk/test/egadslog.txt
 EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release!
 BOX Edge 1 np1 = 17
 BOX Edge 2 np1 = 17
 BOX Edge 3 np1 = 17
 BOX Edge 4 np1 = 17
 BOX Edge 5 np1 = 17
 BOX Edge 6 np1 = 17
 BOX Edge 7 np1 = 17
 BOX Edge 8 np1 = 17
 BOX Edge 9 np1 = 9
 BOX Edge 10 np1 = 9
 BOX Edge 11 np1 = 9
 BOX Edge 12 np1 = 9
 BOX Face 1 np1 = 289
 BOX Face 2 np1 = 289
 BOX Face 3 np1 = 153
 BOX Face 4 np1 = 153
 BOX Face 5 np1 = 153
 BOX Face 6 np1 = 153
 Failure -1 in pingBox
 EGADS Info: 53 Objects, 82 Reference in Use (of 135) at Close!
 Overall Failure -1

real	0m0.047s
user	0m0.048s
sys	0m0.000s
+ status=1
+ set +x

=================================================
EGADS test egadsTopo_dot failed (as expected)
=================================================


All tests pass!

+ cd /jenkins/workspace/ESP_Coverage
+ lcov --capture --no-external --directory /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ --directory EGADS/trunk/src --base-directory . --output-file coverage.info
Capturing coverage data from /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ EGADS/trunk/src
Found gcov version: 5.5.0
Scanning /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/ for .gcda files ...
Found 80 data files in /jenkins/workspace/ESP_Coverage/ESP/LINUX64/obj/
Processing obj/prmCfit.gcda
Cannot open source file prmCfit.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpImport.gcda
Cannot open source file udpImport.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/sys/stat.h
Processing obj/serveCSM.gcda
Cannot open source file serveCSM.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpKulfan.gcda
Cannot open source file udpKulfan.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpSample.gcda
Cannot open source file udpSample.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsSolids.gcda
Cannot open source file egadsSolids.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/base64-decode.gcda
Cannot open source file base64-decode.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpParsec.gcda
Cannot open source file udpParsec.cpp
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/ctype.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpHex.gcda
Cannot open source file udpHex.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsRobust.gcda
Cannot open source file egadsRobust.c
Processing obj/emp.gcda
Cannot open source file ../util/emp.c
  ignoring data for external file /usr/include/stdlib.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /jenkins/workspace/util/emp.c
Processing obj/udpRadwaf.gcda
Cannot open source file udpRadwaf.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsSkinning.gcda
Cannot open source file egadsSkinning.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/parsers.gcda
Cannot open source file parsers.c
  ignoring data for external file /usr/include/stdlib.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/fcntl2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/unistd.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/sys/stat.h
Processing obj/egadsTris.gcda
Cannot open source file egadsTris.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpBiconvex.gcda
Cannot open source file udpBiconvex.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpSew.gcda
Cannot open source file udpSew.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpFitcurve.gcda
Cannot open source file udpFitcurve.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsGeom_dot.gcda
Cannot open source file egadsGeom_dot.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/evaluate.gcda
Cannot open source file evaluate.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsQuads.gcda
Cannot open source file egadsQuads.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsSplineFit.gcda
Cannot open source file egadsSplineFit.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udfGanged.gcda
Cannot open source file udfGanged.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/rational.gcda
Cannot open source file rational.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /usr/include/c++/5/iostream
Processing obj/udpStag.gcda
Cannot open source file udpStag.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpCsm.gcda
Cannot open source file udpCsm.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsIO.gcda
Cannot open source file egadsIO.cpp
Cannot open source file egadsClasses.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_ModifyShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Transform.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_DataMapOfShapeResult.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepTools_Modifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepTools_Modification.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_IGESData_IGESModel.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_IGESData_NodeOfSpecificLib.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_IGESData_Protocol.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Interface_NodeOfGeneralLib.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Message_ProgressIndicator.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeBuild_ReShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TCompound.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Transfer_FinderProcess.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_XSControl_WorkSession.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IGESControl_Reader.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IGESControl_Writer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IGESData_BasicEditor.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IGESData_SpecificLib.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Interface_GeneralLib.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/STEPControl_Reader.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/STEPControl_Writer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeUpgrade_UnifySameDomain.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Failure.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Transient_proto.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfAsciiString.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfTransient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_AsciiString.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BaseSequence.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BasicMap.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_Sequence.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedMapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_ListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_MapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_SequenceOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Builder.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Compound.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Compound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TCompound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TShape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/XSControl_Reader.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Mat.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Trsf.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XYZ.lxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/wv.gcda
Cannot open source file wv.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfEditAttr.gcda
Cannot open source file udfEditAttr.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsTessInp.gcda
Cannot open source file egadsTessInp.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpBox.gcda
Cannot open source file udpBox.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsBase.gcda
Cannot open source file egadsBase.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsTessSens.gcda
Cannot open source file egadsTessSens.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/server.gcda
Cannot open source file server.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsTopo_dot.gcda
Cannot open source file egadsTopo_dot.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsHLevel_dot.gcda
Cannot open source file egadsHLevel_dot.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsMemory.gcda
Cannot open source file egadsMemory.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udfPrintBbox.gcda
Cannot open source file udfPrintBbox.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpPoly.gcda
Cannot open source file udpPoly.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpFreeform.gcda
Cannot open source file udpFreeform.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfMatchBodys.gcda
Cannot open source file udfMatchBodys.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/OpenCSM.gcda
Cannot open source file OpenCSM.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/unistd.h
Processing obj/egadsExport.gcda
Cannot open source file egadsExport.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfDroop.gcda
Cannot open source file udfDroop.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsSpline.gcda
Cannot open source file egadsSpline.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpSupell.gcda
Cannot open source file udpSupell.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/extension-deflate-stream.gcda
Cannot open source file extension-deflate-stream.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpWaffle.gcda
Cannot open source file udpWaffle.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsHLevel.gcda
Cannot open source file egadsHLevel.cpp
Cannot open source file egadsClasses.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgoAPI_BooleanOperation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgoAPI_Common.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgoAPI_Cut.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgoAPI_Fuse.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgoAPI_Section.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAlgo_Image.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_DataMapOfShapeResult.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFeat_SplitShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFeat_SplitShape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFill_DataMapOfShapeHArray2OfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFill_Pipe.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFilletAPI_LocalOperation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFilletAPI_MakeChamfer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFilletAPI_MakeFillet.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeFace.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffsetAPI_MakeOffsetShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffsetAPI_MakePipe.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffsetAPI_MakeThickSolid.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffsetAPI_ThruSections.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffset_Analyse.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffset_DataMapOfShapeListOfInterval.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffset_MakeLoops.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffset_MakeOffset.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakePrism.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeRevol.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeSweep.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_NumLinearRegularSweep.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Prism.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Revol.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Rotation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Tool.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Translation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepSweep_Trsf.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFi3d_Builder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFi3d_ChBuilder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFi3d_FilBuilder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFiDS_IndexedDataMapOfVertexListOfStripe.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFiDS_ListOfStripe.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFiDS_Map.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFiDS_Regularities.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFiDS_StripeMap.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepAlgo_AsDes.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepFill_LocationLaw.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_LocOpe_WiresOnShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Message_ProgressIndicator.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopOpeBRepBuild_HBuilder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopOpeBRepDS_HDataStructure.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopTools_HArray2OfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TCompound.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/LocOpe_Spliter.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/LocOpe_Spliter.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Failure.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Transient_proto.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array2OfBoolean.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BasicMap.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_ListIterator.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_Array2OfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeListOfInteger.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedDataMapOfShapeListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedMapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_ListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_MapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_SequenceOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Builder.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Compound.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Compound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Solid.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TCompound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TShape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax1.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Dir.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Vec.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XYZ.lxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/libwebsockets.gcda
Cannot open source file libwebsockets.c
  ignoring data for external file /usr/include/stdlib.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/fcntl2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/poll2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/socket2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/unistd.h
Processing obj/udfStiffener.gcda
Cannot open source file udfStiffener.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpBezier.gcda
Cannot open source file udpBezier.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/prmUV.gcda
Cannot open source file prmUV.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsGeom.gcda
Cannot open source file egadsGeom.cpp
Cannot open source file Surreal/SurrealS_Trad.h
Cannot open source file egadsClasses.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_CurveOnSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/CPnts_AbscissaPoint.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/CPnts_AbscissaPoint.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/CPnts_MyRootFunction.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_EPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_EPCOfExtPC2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_ExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_ExtPC2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_ExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_FuncExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_GenExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_PCFOfEPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_PCFOfEPCOfExtPC2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SeqPCOfPCFOfEPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SeqPCOfPCFOfEPCOfExtPC2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SequenceOfPOnCurv.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SequenceOfPOnCurv2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SequenceOfPOnSurf.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GCPnts_AbscissaPoint.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GCPnts_AbscissaPoint.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAPI_ProjectPointOnCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dLProp_CLProps2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_PointsToBSpline.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_PointsToBSplineSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_ProjectPointOnCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_ProjectPointOnSurf.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_HSurface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomFill_Coons.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomFill_Curved.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomFill_Filling.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomFill_Stretch.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomLProp_CLProps.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomLProp_SLProps.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Adaptor2d_HCurve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Adaptor3d_HSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Bnd_HArray1OfSphere.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_ExtPExtS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_ExtPRevS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_HArray2OfPOnSurfParams.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2dAdaptor_HCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_BSplineCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_BezierCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Circle.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Ellipse.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Geometry.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Hyperbola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Line.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_OffsetCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Parabola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_TrimmedCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_GeomAdaptor_HSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BezierCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BezierSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Circle.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_ConicalSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_CylindricalSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Ellipse.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Geometry.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Hyperbola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Line.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_OffsetCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_OffsetSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Parabola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Plane.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_RectangularTrimmedSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_SphericalSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_SurfaceOfLinearExtrusion.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_SurfaceOfRevolution.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_ToroidalSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_TrimmedCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TColStd_HArray1OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TColStd_HArray2OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TColStd_HSequenceOfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TColgp_HArray2OfPnt.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/NCollection_Handle.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Precision.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_ConstructionError.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_DomainError.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Failure.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Failure.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Integer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Real.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Transient_proto.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array1OfInteger.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array1OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array2OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfBoolean.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfInteger.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColgp_Array1OfPnt.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColgp_Array1OfPnt2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColgp_Array2OfPnt.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_Array1.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_Array2.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BasicMap.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax1.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax2.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax22d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax3.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Circ.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Circ2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Cone.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Cylinder.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Dir.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Dir2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Elips.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Elips2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Hypr.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Hypr2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Lin.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Mat.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Mat2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Parab.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Parab2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pln.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Sphere.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Torus.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Trsf.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Trsf2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Vec.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Vec2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XY.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XYZ.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionSet.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionSetWithDerivatives.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionWithDerivative.hxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udfPrintBrep.gcda
Cannot open source file udfPrintBrep.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/regQuads.gcda
Cannot open source file ../util/regQuads.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /jenkins/workspace/util/regQuads.c
Processing obj/udfCreateBEM.gcda
Cannot open source file udfCreateBEM.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfGuide.gcda
Cannot open source file udfGuide.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfCreatePoly.gcda
Cannot open source file udfCreatePoly.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfCatmull.gcda
Cannot open source file udfCatmull.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/handshake.gcda
Cannot open source file handshake.c
  ignoring data for external file /usr/include/stdlib.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udfFlend.gcda
Cannot open source file udfFlend.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsAttrs.gcda
Cannot open source file egadsAttrs.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/prmGrid.gcda
Cannot open source file prmGrid.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsCopy.gcda
Cannot open source file egadsCopy.cpp
Cannot open source file egadsClasses.h
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_ModifyShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Transform.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepTools_Modifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepTools_WireExplorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepTools_Modification.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Geometry.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BasicMap.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedMapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_ListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_MapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shell.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shell.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TShape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Mat.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Trsf.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XYZ.lxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsFit.gcda
Cannot open source file egadsFit.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udfCompare.gcda
Cannot open source file udfCompare.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/md5.gcda
Cannot open source file md5.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpNurbbody.gcda
Cannot open source file udpNurbbody.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsSpline_dot.gcda
Cannot open source file egadsSpline_dot.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsTopo.gcda
Cannot open source file egadsTopo.cpp
Cannot open source file egadsClasses.h
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor2d_HCurve2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Adaptor3d_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Curve2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_FindPlane.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeEdge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeFace.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeVertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepBuilderAPI_Sewing.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Analyzer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_DataMapOfShapeListOfStatus.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_DataMapOfShapeResult.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_ListOfStatus.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Result.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Result.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepCheck_Wire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass3d_MapOfInter.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass3d_SClassifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass3d_SolidClassifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass3d_SolidExplorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass_Edge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass_FClass2dOfFClassifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass_FClassifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass_FaceClassifier.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepClass_Intersector.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFill_ListOfOffsetWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFilletAPI_MakeFillet2d.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepFilletAPI_MakeFillet2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_Command.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeEdge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeFace.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeVertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepLib_MakeWire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepOffsetAPI_MakeOffset.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeBox.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeCone.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeCylinder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeOneAxis.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeSphere.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrimAPI_MakeTorus.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Cone.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Cylinder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_GWedge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_OneAxis.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Revolution.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Sphere.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Torus.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepPrim_Wedge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepTools_ReShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRepTools_WireExplorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/BRep_Builder.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFi2d_Builder.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ChFi2d_Builder.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_EPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_ExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_ExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_FuncExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_GenExtPS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_PCFOfEPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SeqPCOfPCFOfEPCOfExtPC.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SequenceOfPOnCurv.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Extrema_SequenceOfPOnSurf.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dInt_IntConicCurveOfGInter.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Geom2dInt_TheIntConicCurveOfGInter.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_ProjectPointOnCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAPI_ProjectPointOnSurf.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Curve.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/GeomAdaptor_Surface.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepCheck_Result.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_BRepTools_ReShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Bnd_HArray1OfSphere.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_ExtPExtS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_ExtPRevS.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Extrema_HArray2OfPOnSurfParams.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_BSplineCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_BezierCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Circle.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Ellipse.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Hyperbola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Line.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom2d_Parabola.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineCurve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_BSplineSurface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Curve.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Plane.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Geom_Surface.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Message_ProgressIndicator.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeBuild_ReShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeExtend_BasicMsgRegistrator.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeExtend_WireData.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Shell.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeFix_Solid.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_ShapeUpgrade_FaceDivide.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_Standard_Transient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TColStd_HArray1OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopLoc_SListNodeOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TCompound.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TShell.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Handle_TopoDS_TSolid.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IntCurve_IntConicConic.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IntCurve_IntImpConicParConic.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IntRes2d_Intersection.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IntRes2d_SequenceOfIntersectionPoint.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/IntRes2d_SequenceOfIntersectionSegment.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/MMgt_TShared.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/NCollection_BaseAllocator.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/NCollection_BaseVector.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/NCollection_Handle.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/NCollection_Vector.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeFix_Root.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeFix_Shape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeFix_Shell.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeFix_Solid.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeUpgrade_ShapeDivide.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeUpgrade_ShapeDivideClosed.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/ShapeUpgrade_ShapeDivideContinuity.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Failure.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Integer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/Standard_Transient_proto.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array1OfInteger.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array1OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_Array2OfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_IndexedMapOfTransient.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfBoolean.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfInteger.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColStd_SequenceOfReal.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TColgp_Array2OfPnt.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_Array1.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_Array2.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TCollection_BasicMap.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopExp_Explorer.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_Location.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopLoc_SListOfItemLocation.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_DataMapOfShapeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedDataMapOfShapeListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedDataMapOfShapeShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_IndexedMapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_ListOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_MapOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopTools_SequenceOfShape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Builder.lxx
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  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Compound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Edge.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Face.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shell.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Shell.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Solid.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Solid.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TCompound.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TShape.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TShell.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_TSolid.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Vertex.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/TopoDS_Wire.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax1.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax22d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Ax2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Circ2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Dir.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Dir2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Elips2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Hypr2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Mat.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Parab2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Pnt2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_Vec2d.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XY.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/gp_XYZ.lxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionSet.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionSetWithDerivatives.hxx
  ignoring data for external file /home/jenkins/util/ESP/OpenCASCADE-6.8.1/inc/math_FunctionWithDerivative.hxx
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/egadsSBO.gcda
Cannot open source file egadsSBO.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpNaca.gcda
Cannot open source file udpNaca.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/sha-1.gcda
Cannot open source file sha-1.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpNaca456.gcda
Cannot open source file udpNaca456.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udpEllipse.gcda
Cannot open source file udpEllipse.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/udp.gcda
Cannot open source file udp.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/udpPod.gcda
Cannot open source file udpPod.c
Cannot open source file udpUtilities.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Processing obj/egadsTess.gcda
Cannot open source file egadsTess.c
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
Processing obj/sensCSM.gcda
Cannot open source file sensCSM.c
  ignoring data for external file /usr/include/stdlib.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/stdio2.h
  ignoring data for external file /usr/include/x86_64-linux-gnu/bits/string3.h
Scanning EGADS/trunk/src for .gcda files ...
Found 4 data files in EGADS/trunk/src
Processing src/SurrealD1_btest.gcda
Cannot open source file ../util/SurrealD1_btest.cpp
Cannot open source file Surreal/SurrealD_Lazy.h
  ignoring data for external file /usr/include/c++/5/bits/locale_facets.h
  ignoring data for external file /usr/include/c++/5/bits/stl_algobase.h
  ignoring data for external file /usr/include/c++/5/cmath
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/c++/5/ostream
  ignoring data for external file /jenkins/workspace/util/SurrealD1_btest.cpp
Processing src/SurrealD4_btest.gcda
Cannot open source file ../util/SurrealD4_btest.cpp
Cannot open source file Surreal/SurrealD_Lazy.h
  ignoring data for external file /usr/include/c++/5/bits/locale_facets.h
  ignoring data for external file /usr/include/c++/5/bits/stl_algobase.h
  ignoring data for external file /usr/include/c++/5/cmath
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/c++/5/ostream
  ignoring data for external file /jenkins/workspace/util/SurrealD4_btest.cpp
Processing src/SurrealS1_btest.gcda
Cannot open source file ../util/SurrealS1_btest.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /usr/include/c++/5/bits/allocator.h
  ignoring data for external file /usr/include/c++/5/bits/basic_string.h
  ignoring data for external file /usr/include/c++/5/bits/locale_facets.h
  ignoring data for external file /usr/include/c++/5/cmath
  ignoring data for external file /usr/include/c++/5/ext/alloc_traits.h
  ignoring data for external file /usr/include/c++/5/ext/new_allocator.h
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/c++/5/ostream
  ignoring data for external file /jenkins/workspace/util/SurrealS1_btest.cpp
Processing src/SurrealS4_btest.gcda
Cannot open source file ../util/SurrealS4_btest.cpp
Cannot open source file Surreal/SurrealS_Trad.h
  ignoring data for external file /usr/include/c++/5/bits/allocator.h
  ignoring data for external file /usr/include/c++/5/bits/basic_string.h
  ignoring data for external file /usr/include/c++/5/bits/locale_facets.h
  ignoring data for external file /usr/include/c++/5/bits/stl_algobase.h
  ignoring data for external file /usr/include/c++/5/bits/stl_construct.h
  ignoring data for external file /usr/include/c++/5/bits/stl_iterator_base_types.h
  ignoring data for external file /usr/include/c++/5/bits/stl_uninitialized.h
  ignoring data for external file /usr/include/c++/5/bits/stl_vector.h
  ignoring data for external file /usr/include/c++/5/cmath
  ignoring data for external file /usr/include/c++/5/ext/alloc_traits.h
  ignoring data for external file /usr/include/c++/5/ext/new_allocator.h
  ignoring data for external file /usr/include/c++/5/iostream
  ignoring data for external file /usr/include/c++/5/ostream
  ignoring data for external file /jenkins/workspace/util/SurrealS4_btest.cpp
Finished .info-file creation

real	0m9.058s
user	0m8.492s
sys	0m0.336s
+ set +x
Fixing coverage path for EGADS/trunk/src/egadsSBO.c
Fixing coverage path for EGADS/trunk/src/egadsFit.c
Fixing coverage path for EGADS/trunk/src/fgadsMemory.c
Fixing coverage path for EGADS/trunk/src/fgadsAttrs.c
Fixing coverage path for EGADS/trunk/src/egadsQuads.c
Fixing coverage path for EGADS/trunk/src/prmCfit.c
Fixing coverage path for EGADS/trunk/src/egadsTessInp.c
Fixing coverage path for EGADS/trunk/src/egadsSkinning.c
Fixing coverage path for EGADS/trunk/src/egadsAttrs.c
Fixing coverage path for EGADS/trunk/src/egadsTris.c
Fixing coverage path for EGADS/trunk/src/egadsBase.c
Fixing coverage path for EGADS/trunk/src/fgadsTess.c
Fixing coverage path for EGADS/trunk/src/prmGrid.c
Fixing coverage path for EGADS/trunk/src/egadsTess.c
Fixing coverage path for EGADS/trunk/src/fgv.c
Fixing coverage path for EGADS/trunk/src/egadsExport.c
Fixing coverage path for EGADS/trunk/src/prmUV.c
Fixing coverage path for EGADS/trunk/src/egadsSolids.c
Fixing coverage path for EGADS/trunk/src/egadsRobust.c
Fixing coverage path for EGADS/trunk/src/fgadsHLevel.c
Fixing coverage path for EGADS/trunk/src/egadsMemory.c
Fixing coverage path for EGADS/trunk/src/fgadsBase.c
Fixing coverage path for EGADS/trunk/src/fgadsTopo.c
Fixing coverage path for EGADS/trunk/src/fgadsGeom.c
Fixing coverage path for EGADS/trunk/src/egadsSpline.cpp
Fixing coverage path for EGADS/trunk/src/egadsTessSens.cpp
Fixing coverage path for EGADS/trunk/src/egadsTopo.cpp
Fixing coverage path for EGADS/trunk/src/egadsHLevel.cpp
Fixing coverage path for EGADS/trunk/src/egadsGeom.cpp
Fixing coverage path for EGADS/trunk/src/egadsSplineFit.cpp
Fixing coverage path for EGADS/trunk/src/egadsIO.cpp
Fixing coverage path for EGADS/trunk/src/egadsCopy.cpp
Fixing coverage path for EGADS/trunk/src/egadsSplineFit.h
Fixing coverage path for EGADS/trunk/src/egadsClasses.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealD_Lazy.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealS.h
Fixing coverage path for EGADS/trunk/src/Surreal/always_inline.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealD_Trad.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealS_Trad.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealD.h
Fixing coverage path for EGADS/trunk/src/Surreal/SurrealS_Lazy.h
Fixing coverage path for EGADS/trunk/src/egadsStack.h
Fixing coverage path for EGADS/trunk/src/egadsSplineVels.h
Fixing coverage path for EGADS/trunk/src/egadsTris.h
Fixing coverage path for EGADS/trunk/src/egadsOCC.h
Fixing coverage path for EGADS/trunk/src/egadsInternals.h
Fixing coverage path for EGADS/trunk/util/evaluateNR.c
Fixing coverage path for EGADS/trunk/util/extractTess.c
Fixing coverage path for EGADS/trunk/util/egadsHOtess.c
Fixing coverage path for EGADS/trunk/util/regQuads.c
Fixing coverage path for EGADS/trunk/util/rational.c
Fixing coverage path for EGADS/trunk/util/vHOtess.c
Fixing coverage path for EGADS/trunk/util/emp.c
Fixing coverage path for EGADS/trunk/util/ThreadTest.c
Fixing coverage path for EGADS/trunk/util/triServer.c
Fixing coverage path for EGADS/trunk/util/limitTessBody.c
Fixing coverage path for EGADS/trunk/util/evaluate.c
Fixing coverage path for EGADS/trunk/util/retessFaces.c
Fixing coverage path for EGADS/trunk/util/rational.cpp
Fixing coverage path for EGADS/trunk/util/SurrealS1_btest.cpp
Fixing coverage path for EGADS/trunk/util/evaluate.cpp
Fixing coverage path for EGADS/trunk/util/SurrealS4_btest.cpp
Fixing coverage path for EGADS/trunk/util/SurrealD4_btest.cpp
Fixing coverage path for EGADS/trunk/util/SurrealD1_btest.cpp
Fixing coverage path for EGADS/trunk/util/regQuads.h
Fixing coverage path for EGADS/trunk/test/extrot.c
Fixing coverage path for EGADS/trunk/test/fuseSheets.c
Fixing coverage path for EGADS/trunk/test/revolve.c
Fixing coverage path for EGADS/trunk/test/testc.c
Fixing coverage path for EGADS/trunk/test/rebuild.c
Fixing coverage path for EGADS/trunk/test/fit.c
Fixing coverage path for EGADS/trunk/test/vGeom.c
Fixing coverage path for EGADS/trunk/test/mssb.c
Fixing coverage path for EGADS/trunk/test/multiContext.c
Fixing coverage path for EGADS/trunk/test/egadsHLevel_dot.c
Fixing coverage path for EGADS/trunk/test/fitTri.c
Fixing coverage path for EGADS/trunk/test/egadsTopo_dot.c
Fixing coverage path for EGADS/trunk/test/egads2cart.c
Fixing coverage path for EGADS/trunk/test/hollow.c
Fixing coverage path for EGADS/trunk/test/hollowFace.c
Fixing coverage path for EGADS/trunk/test/vTess.c
Fixing coverage path for EGADS/trunk/test/addKnots.c
Fixing coverage path for EGADS/trunk/test/sew.c
Fixing coverage path for EGADS/trunk/test/parsec.c
Fixing coverage path for EGADS/trunk/test/edges.c
Fixing coverage path for EGADS/trunk/test/xform.c
Fixing coverage path for EGADS/trunk/test/makeFace3D.c
Fixing coverage path for EGADS/trunk/test/fillet.c
Fixing coverage path for EGADS/trunk/test/makeLoop.c
Fixing coverage path for EGADS/trunk/test/replace.c
Fixing coverage path for EGADS/trunk/test/tolerance.c
Fixing coverage path for EGADS/trunk/test/vQuad.c
Fixing coverage path for EGADS/trunk/test/offset.c
Fixing coverage path for EGADS/trunk/test/GBO.c
Fixing coverage path for EGADS/trunk/test/scribe.c
Fixing coverage path for EGADS/trunk/test/BSplineIGES.c
Fixing coverage path for EGADS/trunk/test/mofb.c
Fixing coverage path for EGADS/trunk/test/vAttr.c
Fixing coverage path for EGADS/trunk/test/vCurvature.c
Fixing coverage path for EGADS/trunk/test/vFrame.c
Fixing coverage path for EGADS/trunk/test/ruled.c
Fixing coverage path for EGADS/trunk/test/vEto.c
Fixing coverage path for EGADS/trunk/test/chamfer.c
Fixing coverage path for EGADS/trunk/test/mapTess.c
Fixing coverage path for EGADS/trunk/test/blend.c
Fixing coverage path for EGADS/trunk/test/sweep.c
Fixing coverage path for EGADS/trunk/test/SBO.c
Fixing coverage path for EGADS/trunk/test/ref.c
Fixing coverage path for EGADS/trunk/test/edge2WB.c
Fixing coverage path for EGADS/trunk/test/agglom.c
Fixing coverage path for EGADS/trunk/test/egadsSpline_dot.c
Fixing coverage path for EGADS/trunk/test/CSys.c
Fixing coverage path for EGADS/trunk/test/makeCone.c
Fixing coverage path for EGADS/trunk/test/intersect.c
Fixing coverage path for EGADS/trunk/test/egadsGeom_dot.c
Fixing coverage path for EGADS/trunk/test/fullAttr.c
Fixing coverage path for EGADS/trunk/test/vTessInp.c
Fixing coverage path for EGADS/trunk/test/globalTess.c
Fixing coverage path for EGADS/trunk/test/tinyply.cpp
Fixing coverage path for EGADS/trunk/test/egads2ply.cpp
Fixing coverage path for EGADS/trunk/test/tinyply.h
Fixing coverage path for EGADS/trunk/wvServer/gettimeofday.c
Fixing coverage path for EGADS/trunk/wvServer/handshake.c
Fixing coverage path for EGADS/trunk/wvServer/md5.c
Fixing coverage path for EGADS/trunk/wvServer/fwv.c
Fixing coverage path for EGADS/trunk/wvServer/libwebsockets.c
Fixing coverage path for EGADS/trunk/wvServer/extension-x-google-mux.c
Fixing coverage path for EGADS/trunk/wvServer/server.c
Fixing coverage path for EGADS/trunk/wvServer/client-handshake.c
Fixing coverage path for EGADS/trunk/wvServer/wv.c
Fixing coverage path for EGADS/trunk/wvServer/extension.c
Fixing coverage path for EGADS/trunk/wvServer/parsers.c
Fixing coverage path for EGADS/trunk/wvServer/browserMessage.c
Fixing coverage path for EGADS/trunk/wvServer/sha-1.c
Fixing coverage path for EGADS/trunk/wvServer/extension-deflate-stream.c
Fixing coverage path for EGADS/trunk/wvServer/websock-w32.c
Fixing coverage path for EGADS/trunk/wvServer/base64-decode.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzio.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/inffast.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/inflate.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/trees.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzclose.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzwrite.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/compress.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzread.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/infback.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/deflate.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/uncompr.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzlib.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/inftrees.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/zutil.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/crc32.c
Fixing coverage path for EGADS/trunk/wvServer/zlib/adler32.c
Fixing coverage path for EGADS/trunk/wvServer/libwebsockets.h
Fixing coverage path for EGADS/trunk/wvServer/extension-x-google-mux.h
Fixing coverage path for EGADS/trunk/wvServer/extension-deflate-stream.h
Fixing coverage path for EGADS/trunk/wvServer/private-libwebsockets.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/zlib.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/zconf.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/gzguts.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/inffixed.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/zutil.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/trees.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/inflate.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/deflate.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/inftrees.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/inffast.h
Fixing coverage path for EGADS/trunk/wvServer/zlib/crc32.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/websock-w32.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/sys/time.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/gettimeofday.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/netdb.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/strings.h
Fixing coverage path for EGADS/trunk/wvServer/win32helpers/unistd.h
Fixing coverage path for OpenCSM/trunk/src/Tblade3/globvar.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/readinput.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/cubicspline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/errors.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/funcNsubs.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/lespline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/techop.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/spanwise_variation.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/splinethick.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bladegen.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/3dbgb.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/spline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bspline3.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/airfoiltypes.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/lesting.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/file_operations.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bsplinecam.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bladestack.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/3dbgb_driver.f90
Fixing coverage path for OpenCSM/trunk/src/udpWaffle.c
Fixing coverage path for OpenCSM/trunk/src/udfStiffener.c
Fixing coverage path for OpenCSM/trunk/src/udfSurfGrid.c
Fixing coverage path for OpenCSM/trunk/src/udpEllipse.c
Fixing coverage path for OpenCSM/trunk/src/udpNurbbody.c
Fixing coverage path for OpenCSM/trunk/src/udpRadwaf.c
Fixing coverage path for OpenCSM/trunk/src/udfMatchBodys.c
Fixing coverage path for OpenCSM/trunk/src/udpSew.c
Fixing coverage path for OpenCSM/trunk/src/udfCreateBEM.c
Fixing coverage path for OpenCSM/trunk/src/udpHubWedge.c
Fixing coverage path for OpenCSM/trunk/src/fun3dCSM.c
Fixing coverage path for OpenCSM/trunk/src/gmgwCSM.c
Fixing coverage path for OpenCSM/trunk/src/OpenCSMtcl.c
Fixing coverage path for OpenCSM/trunk/src/udfCreatePoly.c
Fixing coverage path for OpenCSM/trunk/src/udpCsm.c
Fixing coverage path for OpenCSM/trunk/src/udpNaca456.c
Fixing coverage path for OpenCSM/trunk/src/buildCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpFreeform.c
Fixing coverage path for OpenCSM/trunk/src/vsp2csm.c
Fixing coverage path for OpenCSM/trunk/src/serveCSM.c
Fixing coverage path for OpenCSM/trunk/src/udfCatmull.c
Fixing coverage path for OpenCSM/trunk/src/udfPrintBrep.c
Fixing coverage path for OpenCSM/trunk/src/udp.c
Fixing coverage path for OpenCSM/trunk/src/udpBiconvex.c
Fixing coverage path for OpenCSM/trunk/src/udfGuide.c
Fixing coverage path for OpenCSM/trunk/src/udpHex.c
Fixing coverage path for OpenCSM/trunk/src/liteCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpImport.c
Fixing coverage path for OpenCSM/trunk/src/gridCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpTblade.c
Fixing coverage path for OpenCSM/trunk/src/udpSample.c
Fixing coverage path for OpenCSM/trunk/src/sensCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpBox.c
Fixing coverage path for OpenCSM/trunk/src/udfTile2.c
Fixing coverage path for OpenCSM/trunk/src/udpLevelset.c
Fixing coverage path for OpenCSM/trunk/src/eggPDT2.c
Fixing coverage path for OpenCSM/trunk/src/compareVerify.c
Fixing coverage path for OpenCSM/trunk/src/udfFlend.c
Fixing coverage path for OpenCSM/trunk/src/udpPoly.c
Fixing coverage path for OpenCSM/trunk/src/udfTile.c
Fixing coverage path for OpenCSM/trunk/src/tessCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpStag.c
Fixing coverage path for OpenCSM/trunk/src/udfDroop.c
Fixing coverage path for OpenCSM/trunk/src/matchCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpPod.c
Fixing coverage path for OpenCSM/trunk/src/udpUtilities.c
Fixing coverage path for OpenCSM/trunk/src/udpKulfan.c
Fixing coverage path for OpenCSM/trunk/src/udpFitcurve.c
Fixing coverage path for OpenCSM/trunk/src/udfGanged.c
Fixing coverage path for OpenCSM/trunk/src/udfPrintBbox.c
Fixing coverage path for OpenCSM/trunk/src/udfCompare.c
Fixing coverage path for OpenCSM/trunk/src/OpenCSM.c
Fixing coverage path for OpenCSM/trunk/src/udpBezier.c
Fixing coverage path for OpenCSM/trunk/src/parka.c
Fixing coverage path for OpenCSM/trunk/src/udpNaca.c
Fixing coverage path for OpenCSM/trunk/src/udpSupell.c
Fixing coverage path for OpenCSM/trunk/src/udfEditAttr.c
Fixing coverage path for OpenCSM/trunk/src/udpParsec.cpp
Fixing coverage path for OpenCSM/trunk/src/OpenCSMtcl.h
Fixing coverage path for OpenCSM/trunk/src/udpUtilities.h
Fixing coverage path for OpenCSM/trunk/src/OpenCSM.h
Fixing coverage path for OpenCSM/trunk/src/udp.h
Fixing coverage path for OpenCSM/trunk/src/common.h
Fixing coverage path for OpenCSM/trunk/src/egg.h
Fixing coverage path for OpenCSM/trunk/src/naca456.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/globvar.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/readinput.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/cubicspline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/errors.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/funcNsubs.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/lespline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/techop.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/spanwise_variation.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/splinethick.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bladegen.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/3dbgb.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/spline.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bspline3.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/airfoiltypes.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/lesting.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/file_operations.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bsplinecam.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/bladestack.f90
Fixing coverage path for OpenCSM/trunk/src/Tblade3/3dbgb_driver.f90
+ lcov --remove coverage.info '*Tblade3*' --output-file coverage.info
lcov: WARNING: negative counts found in tracefile coverage.info
Reading tracefile coverage.info
Deleted 0 files
Writing data to coverage.info
Summary coverage rate:
  lines......: 58.2% (60046 of 103137 lines)
  functions..: 61.4% (797 of 1297 functions)
  branches...: no data found

real	0m0.359s
user	0m0.336s
sys	0m0.020s
+ python /home/jenkins/util/lcov/lcov_cobertura.py coverage.info -o coverage.xml

real	0m7.469s
user	0m6.964s
sys	0m0.504s
+ genhtml coverage.info -q --legend --frames --show-details --demangle-cpp --prefix /jenkins/workspace/ESP_Coverage --output-directory ESPHTML
+ rsync -rtuc --delete ESPHTML jenkins@acdl.mit.edu:/var/lib/jenkins/userContent/

real	0m1.732s
user	0m0.588s
sys	0m0.036s
[GNU C Compiler (gcc)] Sleeping for 5 seconds due to JENKINS-32191...
[GNU C Compiler (gcc)] Parsing console log (workspace: '/jenkins/workspace/ESP_Coverage')
[GNU C Compiler (gcc)] Successfully parsed console log
[GNU C Compiler (gcc)] -> found 0 issues (skipped 0 duplicates)
[GNU C Compiler (gcc)] Skipping post processing
[GNU C Compiler (gcc)] No filter has been set, publishing all 0 issues
[GNU C Compiler (gcc)] Using reference build 'ESP_Coverage #150' to compute new, fixed, and outstanding issues
[GNU C Compiler (gcc)] Issues delta (vs. reference build): outstanding: 0, new: 0, fixed: 0
[GNU C Compiler (gcc)] Evaluating quality gates
[GNU C Compiler (gcc)] -> PASSED - Total (any severity): 0 - Quality QualityGate: 1
[GNU C Compiler (gcc)] -> All quality gates have been passed
[GNU C Compiler (gcc)] Health report is disabled - skipping
[GNU C Compiler (gcc)] Created analysis result for 0 issues (found 0 new issues, fixed 0 issues)
[GNU C Compiler (gcc)] Attaching ResultAction with ID 'gcc' to run 'ESP_Coverage #151'.
[Cobertura] Publishing Cobertura coverage report...

[Cobertura] Publishing Cobertura coverage results...

[Cobertura] Cobertura coverage report found.

[PostBuildScript] - [INFO] Executing post build scripts.
[ESP_Coverage] $ /bin/bash -xe /tmp/jenkins9140344184176144493.sh
+ echo EGADS 1317 OpenCSM 1827
EGADS 1317 OpenCSM 1827
[description-setter] Description set: EGADS 1317 OpenCSM 1827
Email was triggered for: Success
Sending email for trigger: Success
Sending email to: galbramc@mit.edu haimes@mit.edu jfdannen@syr.edu
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] done
Finished: SUCCESS