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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 '2020-06-08T02:50:39.567 -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/config/README.txt U trunk/config/winREADME.txt A trunk/docs/setTessFace.txt U trunk/lite/liteImport.c At revision 1322 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 '2020-06-08T02:50:39.567 -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/doc/training_2020/lectures/welcome AU trunk/doc/training_2020/lectures/welcome/AFRL.png AU trunk/doc/training_2020/lectures/welcome/DARPA.png AU trunk/doc/training_2020/lectures/welcome/NASA.png A trunk/doc/training_2020/lectures/welcome.tex U trunk/doc/training_2020/lectures/session01.tex U trunk/doc/training_2020/lectures/session02.tex U trunk/doc/training_2020/lectures/session03.tex U trunk/doc/training_2020/lectures/session05.tex U trunk/doc/training_2020/lectures/session06.tex U trunk/doc/training_2020/lectures/session08.tex U trunk/doc/training_2020/lectures/session09.tex U trunk/doc/ESP_QuickReference.pdf U trunk/doc/ESP_QuickReference.tex U trunk/doc/training_2019 U trunk/doc U trunk/ESP/ESP-help.html U trunk/ESP/pictures/ESP-fig01.png U trunk/ESP/pictures/ESP-fig02.png U trunk/ESP/pictures/ESP-fig03.png U trunk/ESP/pictures/ESP-fig04.png U trunk/ESP/pictures/ESP-fig05.png U trunk/ESP/pictures/ESP-fig06.png U trunk/ESP/pictures/ESP-fig07.png U trunk/ESP/pictures/ESP-fig08.png U trunk/ESP/pictures/ESP-fig09.png U trunk/ESP/pictures/ESP-fig10.png U trunk/ESP/pictures/ESP-fig11.png U trunk/ESP/pictures/ESP-fig12.png U trunk/ESP/pictures/ESP-fig13.png U trunk/ESP/pictures/ESP-fig14.png U trunk/ESP/pictures/ESP-fig15.png U trunk/ESP/pictures/ESP-fig16.png U trunk/ESP/pictures/ESP-fig17.png U trunk/ESP/pictures/ESP-fig18.png U trunk/ESP/pictures/ESP-fig19.png U trunk/ESP/pictures/ESP-fig20.png U trunk/ESP/pictures/ESP-fig21.png U trunk/ESP/pictures/ESP-fig22.png U trunk/ESP/pictures/ESP-fig23.png U trunk/ESP/pictures/ESP-fig24.png U trunk/ESP/pictures/ESP-fig25.png U trunk/ESP/pictures/ESP-fig26.png U trunk/ESP/pictures/ESP-fig27.png U trunk/ESP/pictures/ESP-fig28.png U trunk/ESP/pictures/ESP-fig29.png U trunk/ESP/pictures/ESP-fig30.png U trunk/ESP/pictures/ESP-fig31.png U trunk/ESP/pictures/ESP-fig32.png U trunk/ESP/pictures/ESP-fig33.png U trunk/ESP/pictures/ESP-fig34.png U trunk/ESP/pictures/ESP-fig35.png U trunk/ESP/pictures/ESP-fig36.png U trunk/ESP/pictures/ESP-fig37.png U trunk/ESP/pictures/ESP-fig38.png U trunk/ESP/pictures/ESP-fig39.png U trunk/ESP/pictures/ESP-fig40.png U trunk/ESP/pictures/ESP-fig41.png U trunk/ESP/pictures/ESP-fig42.png U trunk/ESP/pictures/ESP-fig43.png U trunk/ESP/pictures/ESP-fig44.png U trunk/ESP/pictures/ESP-fig45.png U trunk/ToDo.txt U trunk/src/OpenCSM.c U trunk/src/OpenCSM.h At revision 1830 Cleaning up /jenkins/workspace/ESP_Coverage/JenkinsESP Updating svn+ssh://acdl.mit.edu/home/svnroot/JenkinsESP at revision '2020-06-08T02:50:39.567 -0400' Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’ Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’ 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’ No changes for svn+ssh://acdl.mit.edu/home/svnroot/JenkinsESP since the previous build No emails were triggered. [ESP_Coverage] $ /bin/bash -xe /tmp/jenkins2755772185948088566.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 ../../OpenCSM/trunk/data/basic/connect6b.csm ../../OpenCSM/trunk/data/basic/connect6c.csm ../../OpenCSM/trunk/data/basic/connect7a.csm ../../OpenCSM/trunk/data/basic/connect7b.csm ../../OpenCSM/trunk/data/basic/connect7c.csm ../../OpenCSM/trunk/data/basic/connect7d.csm ../../OpenCSM/trunk/data/basic/connect7e.csm ../../OpenCSM/trunk/data/basic/connect8a.csm ../../OpenCSM/trunk/data/basic/connect8b.csm ../../OpenCSM/trunk/data/basic/connect8c.csm ../../OpenCSM/trunk/data/basic/connect8d.csm ../../OpenCSM/trunk/data/basic/connect9a.csm ../../OpenCSM/trunk/data/basic/connect9b.csm ../../OpenCSM/trunk/data/basic/connect9c.csm ../../OpenCSM/trunk/data/basic/connect9d.csm ../../OpenCSM/trunk/data/basic/connector1.csm ../../OpenCSM/trunk/data/basic/connector2.csm ../../OpenCSM/trunk/data/basic/connector3.csm ../../OpenCSM/trunk/data/basic/connector4.csm ../../OpenCSM/trunk/data/basic/contains1.csm ../../OpenCSM/trunk/data/basic/copyFuselageSections.csm ../../OpenCSM/trunk/data/basic/copyWingSections.csm ../../OpenCSM/trunk/data/basic/createBEM.csm ../../OpenCSM/trunk/data/basic/csm0.csm ../../OpenCSM/trunk/data/basic/csm1.csm ../../OpenCSM/trunk/data/basic/csm2.csm ../../OpenCSM/trunk/data/basic/csm3.csm ../../OpenCSM/trunk/data/basic/csystem1.csm ../../OpenCSM/trunk/data/basic/csystem2.csm ../../OpenCSM/trunk/data/basic/csystem3.csm ../../OpenCSM/trunk/data/basic/csystem4.csm ../../OpenCSM/trunk/data/basic/csystem5a.csm ../../OpenCSM/trunk/data/basic/csystem5b.csm ../../OpenCSM/trunk/data/basic/cutter1.csm ../../OpenCSM/trunk/data/basic/cutter2.csm ../../OpenCSM/trunk/data/basic/cylinderBEM.csm ../../OpenCSM/trunk/data/basic/cylinder.csm ../../OpenCSM/trunk/data/basic/cylinder_fins.csm ../../OpenCSM/trunk/data/basic/cylinders2.csm ../../OpenCSM/trunk/data/basic/cylinders3x.csm ../../OpenCSM/trunk/data/basic/cylinders3y.csm ../../OpenCSM/trunk/data/basic/cylinders3z.csm ../../OpenCSM/trunk/data/basic/cylinders4.csm ../../OpenCSM/trunk/data/basic/cylinders.csm ../../OpenCSM/trunk/data/basic/cylinderxm.csm ../../OpenCSM/trunk/data/basic/cylinderxp.csm ../../OpenCSM/trunk/data/basic/cylinderym.csm ../../OpenCSM/trunk/data/basic/cylinderyp.csm ../../OpenCSM/trunk/data/basic/cylinderzm.csm ../../OpenCSM/trunk/data/basic/cylinderzp.csm ../../OpenCSM/trunk/data/basic/degen01.csm ../../OpenCSM/trunk/data/basic/degen02.csm ../../OpenCSM/trunk/data/basic/degen03.csm ../../OpenCSM/trunk/data/basic/degen04.csm ../../OpenCSM/trunk/data/basic/degen05.csm 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../../OpenCSM/trunk/data/basic/match1.csm ../../OpenCSM/trunk/data/basic/match2.csm ../../OpenCSM/trunk/data/basic/match3.csm ../../OpenCSM/trunk/data/basic/matchBodys1.csm ../../OpenCSM/trunk/data/basic/matchBodys2.csm ../../OpenCSM/trunk/data/basic/matchBodys3.csm ../../OpenCSM/trunk/data/basic/matchBodys4a.csm ../../OpenCSM/trunk/data/basic/matchBodys4b.csm ../../OpenCSM/trunk/data/basic/matchBodys4c.csm ../../OpenCSM/trunk/data/basic/matchBodys4d.csm ../../OpenCSM/trunk/data/basic/mechanism1.csm ../../OpenCSM/trunk/data/basic/mirror1x.csm ../../OpenCSM/trunk/data/basic/mirror1xy.csm ../../OpenCSM/trunk/data/basic/mirror1y.csm ../../OpenCSM/trunk/data/basic/mirror1yz.csm ../../OpenCSM/trunk/data/basic/mirror1z.csm ../../OpenCSM/trunk/data/basic/mirror1zx.csm ../../OpenCSM/trunk/data/basic/mirror2x.csm ../../OpenCSM/trunk/data/basic/mirror2y.csm ../../OpenCSM/trunk/data/basic/mirror2z.csm ../../OpenCSM/trunk/data/basic/mirror3x.csm ../../OpenCSM/trunk/data/basic/mirror3y.csm ../../OpenCSM/trunk/data/basic/mirror3z.csm ../../OpenCSM/trunk/data/basic/miter1.csm ../../OpenCSM/trunk/data/basic/morph0.csm ../../OpenCSM/trunk/data/basic/morph1a.csm ../../OpenCSM/trunk/data/basic/morph1b.csm ../../OpenCSM/trunk/data/basic/morph1c.csm ../../OpenCSM/trunk/data/basic/morph2.csm ../../OpenCSM/trunk/data/basic/multiBody1.csm ../../OpenCSM/trunk/data/basic/multiBody2.csm ../../OpenCSM/trunk/data/basic/multiBody3.csm ../../OpenCSM/trunk/data/basic/multiBody4.csm ../../OpenCSM/trunk/data/basic/multiBody5.csm ../../OpenCSM/trunk/data/basic/multipart1.csm ../../OpenCSM/trunk/data/basic/multipart2.csm ../../OpenCSM/trunk/data/basic/naca2.csm ../../OpenCSM/trunk/data/basic/naca3.csm ../../OpenCSM/trunk/data/basic/naca456.csm ../../OpenCSM/trunk/data/basic/naca4blend.csm ../../OpenCSM/trunk/data/basic/naca4extrude.csm ../../OpenCSM/trunk/data/basic/naca4rule.csm ../../OpenCSM/trunk/data/basic/naca6a.csm ../../OpenCSM/trunk/data/basic/naca6b.csm ../../OpenCSM/trunk/data/basic/naca6c.csm ../../OpenCSM/trunk/data/basic/naca6d.csm ../../OpenCSM/trunk/data/basic/naca6e.csm ../../OpenCSM/trunk/data/basic/naca6f.csm ../../OpenCSM/trunk/data/basic/naca6g.csm ../../OpenCSM/trunk/data/basic/naca6h.csm ../../OpenCSM/trunk/data/basic/naca6i.csm ../../OpenCSM/trunk/data/basic/naca.csm ../../OpenCSM/trunk/data/basic/nacaHiAR.csm ../../OpenCSM/trunk/data/basic/nacameanline2.csm ../../OpenCSM/trunk/data/basic/nacameanline.csm ../../OpenCSM/trunk/data/basic/nacas2.csm ../../OpenCSM/trunk/data/basic/nacas3.csm ../../OpenCSM/trunk/data/basic/nacas.csm ../../OpenCSM/trunk/data/basic/nacawing2.csm ../../OpenCSM/trunk/data/basic/nacawing3.csm ../../OpenCSM/trunk/data/basic/nacawing.csm ../../OpenCSM/trunk/data/basic/nacelle1.csm ../../OpenCSM/trunk/data/basic/names.csm ../../OpenCSM/trunk/data/basic/nearbodygrid.csm ../../OpenCSM/trunk/data/basic/nodeAttribute.csm ../../OpenCSM/trunk/data/basic/nodebody_on_stack.csm ../../OpenCSM/trunk/data/basic/nosecone1.csm ../../OpenCSM/trunk/data/basic/nosecone2.csm ../../OpenCSM/trunk/data/basic/nozzle1.csm ../../OpenCSM/trunk/data/basic/nozzle2.csm ../../OpenCSM/trunk/data/basic/nudge1.csm ../../OpenCSM/trunk/data/basic/nudge2.csm ../../OpenCSM/trunk/data/basic/nudge3.csm ../../OpenCSM/trunk/data/basic/nudge4.csm ../../OpenCSM/trunk/data/basic/nudge5.csm ../../OpenCSM/trunk/data/basic/nudge6.csm ../../OpenCSM/trunk/data/basic/nurbbody0.csm ../../OpenCSM/trunk/data/basic/nurbbody1.csm ../../OpenCSM/trunk/data/basic/orbiter0.csm ../../OpenCSM/trunk/data/basic/orbiter1.csm ../../OpenCSM/trunk/data/basic/orbiter2.csm ../../OpenCSM/trunk/data/basic/outpmtr1.csm ../../OpenCSM/trunk/data/basic/overlaps1.csm ../../OpenCSM/trunk/data/basic/package1.csm ../../OpenCSM/trunk/data/basic/panel1.csm ../../OpenCSM/trunk/data/basic/panel2.csm ../../OpenCSM/trunk/data/basic/panel3.csm ../../OpenCSM/trunk/data/basic/parsec1blend.csm ../../OpenCSM/trunk/data/basic/parsec1.csm ../../OpenCSM/trunk/data/basic/parsec1extrude.csm ../../OpenCSM/trunk/data/basic/parsec1rule.csm ../../OpenCSM/trunk/data/basic/parsec2blend.csm ../../OpenCSM/trunk/data/basic/parsec2.csm ../../OpenCSM/trunk/data/basic/parsec2extrude.csm ../../OpenCSM/trunk/data/basic/parsec2rule.csm ../../OpenCSM/trunk/data/basic/pattern1a.csm ../../OpenCSM/trunk/data/basic/pattern1b.csm ../../OpenCSM/trunk/data/basic/pattern1c.csm ../../OpenCSM/trunk/data/basic/pattern1d.csm ../../OpenCSM/trunk/data/basic/pattern1e.csm ../../OpenCSM/trunk/data/basic/pattern1f.csm ../../OpenCSM/trunk/data/basic/pattern2a.csm ../../OpenCSM/trunk/data/basic/pattern2b.csm ../../OpenCSM/trunk/data/basic/pattern2c.csm ../../OpenCSM/trunk/data/basic/pattern2d.csm ../../OpenCSM/trunk/data/basic/pattern2e.csm ../../OpenCSM/trunk/data/basic/pattern3.csm ../../OpenCSM/trunk/data/basic/persist1.csm ../../OpenCSM/trunk/data/basic/persist2.csm ../../OpenCSM/trunk/data/basic/pin.csm ../../OpenCSM/trunk/data/basic/plate1.csm ../../OpenCSM/trunk/data/basic/plate2.csm ../../OpenCSM/trunk/data/basic/plate3.csm ../../OpenCSM/trunk/data/basic/plate4.csm ../../OpenCSM/trunk/data/basic/plate5.csm ../../OpenCSM/trunk/data/basic/plate6.csm ../../OpenCSM/trunk/data/basic/plateBeam.csm ../../OpenCSM/trunk/data/basic/plateBEM.csm ../../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 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../../OpenCSM/trunk/data/basic/sens2.csm ../../OpenCSM/trunk/data/basic/sens3a.csm ../../OpenCSM/trunk/data/basic/sens3b.csm ../../OpenCSM/trunk/data/basic/sens3c.csm ../../OpenCSM/trunk/data/basic/sens3d.csm ../../OpenCSM/trunk/data/basic/set1.csm ../../OpenCSM/trunk/data/basic/sew1.csm ../../OpenCSM/trunk/data/basic/sew2.csm ../../OpenCSM/trunk/data/basic/sheet01.csm ../../OpenCSM/trunk/data/basic/sheet02.csm ../../OpenCSM/trunk/data/basic/sheet03.csm ../../OpenCSM/trunk/data/basic/sheet04.csm ../../OpenCSM/trunk/data/basic/sheet05.csm ../../OpenCSM/trunk/data/basic/sheet06.csm ../../OpenCSM/trunk/data/basic/sheet07.csm ../../OpenCSM/trunk/data/basic/sheet08.csm ../../OpenCSM/trunk/data/basic/sheet09.csm ../../OpenCSM/trunk/data/basic/sheet10.csm ../../OpenCSM/trunk/data/basic/sheet11.csm ../../OpenCSM/trunk/data/basic/sheet12.csm ../../OpenCSM/trunk/data/basic/sheet13.csm ../../OpenCSM/trunk/data/basic/sheet14.csm ../../OpenCSM/trunk/data/basic/signal1.csm ../../OpenCSM/trunk/data/basic/skbeg1.csm ../../OpenCSM/trunk/data/basic/skbeg2.csm ../../OpenCSM/trunk/data/basic/skcon0a.csm ../../OpenCSM/trunk/data/basic/skcon0b.csm ../../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 + CSMFILES='../../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 ../../OpenCSM/trunk/data/basic/connect6b.csm ../../OpenCSM/trunk/data/basic/connect6c.csm ../../OpenCSM/trunk/data/basic/connect7a.csm ../../OpenCSM/trunk/data/basic/connect7b.csm ../../OpenCSM/trunk/data/basic/connect7c.csm ../../OpenCSM/trunk/data/basic/connect7d.csm ../../OpenCSM/trunk/data/basic/connect7e.csm ../../OpenCSM/trunk/data/basic/connect8a.csm ../../OpenCSM/trunk/data/basic/connect8b.csm ../../OpenCSM/trunk/data/basic/connect8c.csm ../../OpenCSM/trunk/data/basic/connect8d.csm ../../OpenCSM/trunk/data/basic/connect9a.csm ../../OpenCSM/trunk/data/basic/connect9b.csm ../../OpenCSM/trunk/data/basic/connect9c.csm 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../../OpenCSM/trunk/data/basic/getattr2.csm ../../OpenCSM/trunk/data/basic/glass.csm ../../OpenCSM/trunk/data/basic/gliderMultiModel.csm ../../OpenCSM/trunk/data/basic/gouge.csm ../../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 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../../OpenCSM/trunk/data/basic/plate5.csm ../../OpenCSM/trunk/data/basic/plate6.csm ../../OpenCSM/trunk/data/basic/plateBeam.csm ../../OpenCSM/trunk/data/basic/plateBEM.csm ../../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 ../../OpenCSM/trunk/data/basic/quad1.csm ../../OpenCSM/trunk/data/basic/quad2.csm ../../OpenCSM/trunk/data/basic/quad3.csm ../../OpenCSM/trunk/data/basic/quad4.csm ../../OpenCSM/trunk/data/basic/radwaf1.csm ../../OpenCSM/trunk/data/basic/radwaf2.csm ../../OpenCSM/trunk/data/basic/radwaf3.csm ../../OpenCSM/trunk/data/basic/radwaf4.csm ../../OpenCSM/trunk/data/basic/radwaf5.csm ../../OpenCSM/trunk/data/basic/rebuild1.csm ../../OpenCSM/trunk/data/basic/rebuild2.csm ../../OpenCSM/trunk/data/basic/recall.csm ../../OpenCSM/trunk/data/basic/reload1a.csm ../../OpenCSM/trunk/data/basic/reload1b.csm ../../OpenCSM/trunk/data/basic/reorder0b.csm ../../OpenCSM/trunk/data/basic/reorder0l.csm ../../OpenCSM/trunk/data/basic/reorder0r.csm ../../OpenCSM/trunk/data/basic/reorder1b.csm ../../OpenCSM/trunk/data/basic/reorder1l.csm ../../OpenCSM/trunk/data/basic/reorder1r.csm ../../OpenCSM/trunk/data/basic/reorder2b.csm ../../OpenCSM/trunk/data/basic/reorder2r.csm ../../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 ../../OpenCSM/trunk/data/basic/revolve6x.csm ../../OpenCSM/trunk/data/basic/revolve6y.csm ../../OpenCSM/trunk/data/basic/revolve7x.csm ../../OpenCSM/trunk/data/basic/revolve7y.csm ../../OpenCSM/trunk/data/basic/revolve8x.csm ../../OpenCSM/trunk/data/basic/revolve8y.csm ../../OpenCSM/trunk/data/basic/revolve9x.csm ../../OpenCSM/trunk/data/basic/revolve9y.csm ../../OpenCSM/trunk/data/basic/revolveA1.csm ../../OpenCSM/trunk/data/basic/revolveA2.csm ../../OpenCSM/trunk/data/basic/revolveA3.csm ../../OpenCSM/trunk/data/basic/revolveA4.csm ../../OpenCSM/trunk/data/basic/revolveA5.csm ../../OpenCSM/trunk/data/basic/revolveA6.csm ../../OpenCSM/trunk/data/basic/revolveA.csm ../../OpenCSM/trunk/data/basic/revolveB.csm ../../OpenCSM/trunk/data/basic/revolveC.csm ../../OpenCSM/trunk/data/basic/revolve.csm ../../OpenCSM/trunk/data/basic/revolveWithHoles.csm ../../OpenCSM/trunk/data/basic/ridge.csm ../../OpenCSM/trunk/data/basic/robins1.csm ../../OpenCSM/trunk/data/basic/robins2.csm ../../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 ../../OpenCSM/trunk/data/basic/rule10o.csm ../../OpenCSM/trunk/data/basic/rule10p.csm ../../OpenCSM/trunk/data/basic/rule11a.csm ../../OpenCSM/trunk/data/basic/rule11b.csm ../../OpenCSM/trunk/data/basic/rule11c.csm ../../OpenCSM/trunk/data/basic/rule11d.csm ../../OpenCSM/trunk/data/basic/rule11e.csm ../../OpenCSM/trunk/data/basic/rule11f.csm ../../OpenCSM/trunk/data/basic/rule11g.csm ../../OpenCSM/trunk/data/basic/rule11h.csm ../../OpenCSM/trunk/data/basic/rule11i.csm ../../OpenCSM/trunk/data/basic/rule11j.csm ../../OpenCSM/trunk/data/basic/rule11k.csm ../../OpenCSM/trunk/data/basic/rule11l.csm ../../OpenCSM/trunk/data/basic/rule11m.csm ../../OpenCSM/trunk/data/basic/rule11n.csm ../../OpenCSM/trunk/data/basic/rule11o.csm ../../OpenCSM/trunk/data/basic/rule11p.csm ../../OpenCSM/trunk/data/basic/rule1bb.csm ../../OpenCSM/trunk/data/basic/rule1bs.csm ../../OpenCSM/trunk/data/basic/rule1.csm ../../OpenCSM/trunk/data/basic/rule1sb.csm ../../OpenCSM/trunk/data/basic/rule1ss.csm ../../OpenCSM/trunk/data/basic/rule2bb.csm ../../OpenCSM/trunk/data/basic/rule2bs.csm ../../OpenCSM/trunk/data/basic/rule2.csm ../../OpenCSM/trunk/data/basic/rule2sb.csm ../../OpenCSM/trunk/data/basic/rule2ss.csm ../../OpenCSM/trunk/data/basic/rule3bb.csm ../../OpenCSM/trunk/data/basic/rule3bs.csm ../../OpenCSM/trunk/data/basic/rule3.csm ../../OpenCSM/trunk/data/basic/rule3sb.csm ../../OpenCSM/trunk/data/basic/rule3ss.csm ../../OpenCSM/trunk/data/basic/rule4bb.csm ../../OpenCSM/trunk/data/basic/rule4bs.csm ../../OpenCSM/trunk/data/basic/rule4.csm ../../OpenCSM/trunk/data/basic/rule4sb.csm ../../OpenCSM/trunk/data/basic/rule4ss.csm ../../OpenCSM/trunk/data/basic/rule5bb.csm ../../OpenCSM/trunk/data/basic/rule5bs.csm ../../OpenCSM/trunk/data/basic/rule5.csm ../../OpenCSM/trunk/data/basic/rule5sb.csm ../../OpenCSM/trunk/data/basic/rule5ss.csm ../../OpenCSM/trunk/data/basic/rule6.csm ../../OpenCSM/trunk/data/basic/rule7a.csm ../../OpenCSM/trunk/data/basic/rule7b.csm ../../OpenCSM/trunk/data/basic/rule7c.csm ../../OpenCSM/trunk/data/basic/rule7d.csm ../../OpenCSM/trunk/data/basic/rule7e.csm ../../OpenCSM/trunk/data/basic/rule7f.csm ../../OpenCSM/trunk/data/basic/rule7g.csm ../../OpenCSM/trunk/data/basic/rule7h.csm ../../OpenCSM/trunk/data/basic/rule7i.csm ../../OpenCSM/trunk/data/basic/rule7j.csm ../../OpenCSM/trunk/data/basic/rule7k.csm ../../OpenCSM/trunk/data/basic/rule7l.csm ../../OpenCSM/trunk/data/basic/rule7m.csm ../../OpenCSM/trunk/data/basic/rule7n.csm ../../OpenCSM/trunk/data/basic/rule7o.csm ../../OpenCSM/trunk/data/basic/rule7p.csm ../../OpenCSM/trunk/data/basic/rule7q.csm ../../OpenCSM/trunk/data/basic/rule8.csm ../../OpenCSM/trunk/data/basic/rule9a.csm ../../OpenCSM/trunk/data/basic/rule9b.csm ../../OpenCSM/trunk/data/basic/rule9c.csm ../../OpenCSM/trunk/data/basic/rule9.csm ../../OpenCSM/trunk/data/basic/ruleA.csm ../../OpenCSM/trunk/data/basic/ruleWithHoles.csm ../../OpenCSM/trunk/data/basic/sample1.csm ../../OpenCSM/trunk/data/basic/sample2.csm ../../OpenCSM/trunk/data/basic/sample3.csm ../../OpenCSM/trunk/data/basic/sample.csm ../../OpenCSM/trunk/data/basic/scarf1.csm ../../OpenCSM/trunk/data/basic/scarf2.csm ../../OpenCSM/trunk/data/basic/scarf3.csm ../../OpenCSM/trunk/data/basic/scarf4.csm ../../OpenCSM/trunk/data/basic/scoop.csm ../../OpenCSM/trunk/data/basic/scribe10.csm ../../OpenCSM/trunk/data/basic/scribe1.csm ../../OpenCSM/trunk/data/basic/scribe2.csm ../../OpenCSM/trunk/data/basic/scribe3.csm ../../OpenCSM/trunk/data/basic/scribe4.csm ../../OpenCSM/trunk/data/basic/scribe5.csm ../../OpenCSM/trunk/data/basic/scribe6.csm ../../OpenCSM/trunk/data/basic/scribe7.csm ../../OpenCSM/trunk/data/basic/scribe8.csm ../../OpenCSM/trunk/data/basic/scribe9.csm ../../OpenCSM/trunk/data/basic/scribedCylinder.csm ../../OpenCSM/trunk/data/basic/scribeWing.csm ../../OpenCSM/trunk/data/basic/sculpt0.csm ../../OpenCSM/trunk/data/basic/select0.csm ../../OpenCSM/trunk/data/basic/select0x.csm ../../OpenCSM/trunk/data/basic/select0y.csm ../../OpenCSM/trunk/data/basic/select0z.csm ../../OpenCSM/trunk/data/basic/select1a.csm ../../OpenCSM/trunk/data/basic/select1b.csm ../../OpenCSM/trunk/data/basic/select2.csm ../../OpenCSM/trunk/data/basic/select3.csm ../../OpenCSM/trunk/data/basic/select4.csm ../../OpenCSM/trunk/data/basic/select5.csm ../../OpenCSM/trunk/data/basic/select6.csm ../../OpenCSM/trunk/data/basic/select7.csm ../../OpenCSM/trunk/data/basic/select8.csm ../../OpenCSM/trunk/data/basic/select9.csm ../../OpenCSM/trunk/data/basic/selectColor.csm ../../OpenCSM/trunk/data/basic/selectSort1.csm ../../OpenCSM/trunk/data/basic/selectSort2.csm ../../OpenCSM/trunk/data/basic/sens1.csm ../../OpenCSM/trunk/data/basic/sens2.csm ../../OpenCSM/trunk/data/basic/sens3a.csm ../../OpenCSM/trunk/data/basic/sens3b.csm ../../OpenCSM/trunk/data/basic/sens3c.csm ../../OpenCSM/trunk/data/basic/sens3d.csm ../../OpenCSM/trunk/data/basic/set1.csm ../../OpenCSM/trunk/data/basic/sew1.csm ../../OpenCSM/trunk/data/basic/sew2.csm ../../OpenCSM/trunk/data/basic/sheet01.csm ../../OpenCSM/trunk/data/basic/sheet02.csm ../../OpenCSM/trunk/data/basic/sheet03.csm ../../OpenCSM/trunk/data/basic/sheet04.csm ../../OpenCSM/trunk/data/basic/sheet05.csm ../../OpenCSM/trunk/data/basic/sheet06.csm ../../OpenCSM/trunk/data/basic/sheet07.csm ../../OpenCSM/trunk/data/basic/sheet08.csm ../../OpenCSM/trunk/data/basic/sheet09.csm ../../OpenCSM/trunk/data/basic/sheet10.csm ../../OpenCSM/trunk/data/basic/sheet11.csm ../../OpenCSM/trunk/data/basic/sheet12.csm ../../OpenCSM/trunk/data/basic/sheet13.csm ../../OpenCSM/trunk/data/basic/sheet14.csm ../../OpenCSM/trunk/data/basic/signal1.csm ../../OpenCSM/trunk/data/basic/skbeg1.csm ../../OpenCSM/trunk/data/basic/skbeg2.csm ../../OpenCSM/trunk/data/basic/skcon0a.csm ../../OpenCSM/trunk/data/basic/skcon0b.csm ../../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 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../../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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen01.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen02.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen03.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen04.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen05.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen06.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen07.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen08.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen09.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen10.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen11.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/degen12.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo0a.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ******************************************************************* ****** Statistics on Transfer (Write) ****** ******************************************************************* ****** Transfer Mode = 0 I.E. As Is ****** ****** Transferring Shape, ShapeType = 2 ****** ** WorkSession : Sending all data Step File Name : ../../OpenCSM/trunk/data/basic/demo0b.step(1875 ents) Write Done ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo0c.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo1.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo2.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo3.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/demo4.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0a.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0b.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0c.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0d.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0e.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0f.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0g.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0h.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0i.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0j.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0k.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized 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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/design0n2.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB3.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB4.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designB5.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1a.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC1b.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2a.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC2b.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3a.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC3b.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> 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' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designC4b.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> 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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/designD0c.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully + for i in '$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=247ad70, eref0=0 (0:0) < refcount= 1, refobj=2469d70 (oclass=26 (model) mtype= 0) . oclass1= 24 (shell) mtype1= 4 (closed) obj=245d6e0, eref1=0 (0:0) . . oclass2= 23 (face) mtype2= 1 (sforward) obj=245d5e0, eref2=245fb50 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=245bd90, eref3=245fb50 (12:6) . . . < senses=-1 -1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d060, eref4=245ea10 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d0a0, eref4=245ea50 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d0e0, eref4=245ea90 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d120, eref4=245ead0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=245d620, eref2=245fd70 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=245bdd0, eref3=245fd70 (12:6) . . . < senses= 1 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245bce0, eref4=245eb10 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d0a0, eref4=245ea50 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245bd20, eref4=245eb50 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d120, eref4=245ead0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=245d660, eref2=245ff90 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=245be10, eref3=0 (0:0) . . . < senses= 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d060, eref4=245ea10 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245bd20, eref4=245eb50 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c750, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c790, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . oclass2= 23 (face) mtype2= -1 (sreverse) obj=245d6a0, eref2=2460080 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=245be50, eref3=0 (0:0) . . . < senses=-1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245d0e0, eref4=245ea90 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=245bce0, eref4=245eb10 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=245c810, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=245c7d0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 ebodys[1] oclass0= 25 (body) mtype0= 9 (solidbody) obj=24666f0, eref0=0 (0:0) < refcount= 1, refobj=2469d70 (oclass=26 (model) mtype= 0) . oclass1= 24 (shell) mtype1= 4 (closed) obj=2468210, eref1=0 (0:0) . . oclass2= 23 (face) mtype2= 1 (sforward) obj=24680b0, eref2=246b240 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468d40, eref3=246b240 (12:6) . . . < senses=-1 -1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2466c30, eref4=246a000 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b00, eref4=246a040 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b40, eref4=246a080 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b80, eref4=246a0c0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=24680f0, eref2=246b460 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468d80, eref3=246b460 (12:6) . . . < senses= 1 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468bc0, eref4=246a100 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b00, eref4=246a040 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c00, eref4=246a140 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b80, eref4=246a0c0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468dc0, eref3=246b460 (12:6) . . . < senses= 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c40, eref4=246a180 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b70, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bb0, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c80, eref4=246a1c0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bf0, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bb0, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468cc0, eref4=246a200 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b70, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bf0, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=2468130, eref2=246b680 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468e00, eref3=246b680 (12:6) . . . < senses=-1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c40, eref4=246a180 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b70, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bb0, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468cc0, eref4=246a200 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b70, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bf0, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c80, eref4=246a1c0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bf0, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466bb0, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=2468170, eref2=246b8a0 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468030, eref3=0 (0:0) . . . < senses= 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2466c30, eref4=246a000 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468c00, eref4=246a140 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466a70, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466ab0, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . oclass2= 23 (face) mtype2= -1 (sreverse) obj=24681b0, eref2=246b990 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=2468070, eref3=0 (0:0) . . . < senses=-1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468b40, eref4=246a080 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=2468bc0, eref4=246a100 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=2466b30, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=2466af0, 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=1b8d8a0, eref0=0 (0:0) < refcount= 1, refobj=1bad2d0 (oclass=26 (model) mtype= 0) . oclass1= 24 (shell) mtype1= 4 (closed) obj=1ba1d30, eref1=0 (0:0) . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba1bf0, eref2=1ba45a0 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1a40, eref3=1ba45a0 (12:6) . . . < senses=-1 -1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba17c0, eref4=1ba3360 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1800, eref4=1ba33a0 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1840, eref4=1ba33e0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1880, eref4=1ba3420 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba1c30, eref2=1ba47c0 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1a80, eref3=1ba47c0 (12:6) . . . < senses= 1 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba18c0, eref4=1ba3460 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1800, eref4=1ba33a0 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1900, eref4=1ba34a0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1880, eref4=1ba3420 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1ac0, eref3=1ba47c0 (12:6) . . . < senses= 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1940, eref4=1ba34e0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1700, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1740, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1980, eref4=1ba3520 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1780, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1740, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba19c0, eref4=1ba3560 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1700, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1780, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba1c70, eref2=1ba49e0 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1b00, eref3=1ba49e0 (12:6) . . . < senses=-1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1940, eref4=1ba34e0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1700, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1740, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba19c0, eref4=1ba3560 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1700, data5= 1.0000000000e+00 1.0000000000e+00 -2.1000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1780, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1980, eref4=1ba3520 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1780, data5= 1.0000000000e+00 1.0000000000e+00 -9.0000000000e-01 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba1740, data5= 8.0000000000e-01 4.0000000000e-01 -1.5000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba1cb0, eref2=1ba4c00 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1b40, eref3=0 (0:0) . . . < senses= 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba17c0, eref4=1ba3360 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1900, eref4=1ba34a0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0740, data5= -3.8347585053e-17 2.0000000000e+00 -3.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0780, data5= 4.0574162480e-16 0.0000000000e+00 -3.0000000000e+00 . . oclass2= 23 (face) mtype2= -1 (sreverse) obj=1ba1cf0, eref2=1ba4cf0 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1ba1b80, eref3=0 (0:0) . . . < senses=-1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba1840, eref4=1ba33e0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1ba18c0, eref4=1ba3460 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba0800, data5= -2.2204460493e-16 2.0000000000e+00 -1.3596310734e-32 . . . . . oclass5= 20 (node) mtype5= 0, obj=1ba07c0, data5= 2.2204460493e-16 0.0000000000e+00 1.3596310734e-32 ebodys[1] oclass0= 25 (body) mtype0= 9 (solidbody) obj=1ba44d0, eref0=0 (0:0) < refcount= 1, refobj=1bad2d0 (oclass=26 (model) mtype= 0) . oclass1= 24 (shell) mtype1= 4 (closed) obj=1ba4360, eref1=0 (0:0) . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1badd70, eref2=1bb13c0 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1badc40, eref3=1bb13c0 (12:6) . . . < senses=-1 -1 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baef40, eref4=1bad390 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baef80, eref4=1bad3d0 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baefc0, eref4=1baf840 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baf000, eref4=1ba43a0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba42a0, eref2=1bb1540 (12:6) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1badc80, eref3=1bb1540 (12:6) . . . < senses= 1 1 -1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baf040, eref4=1ba43e0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baef80, eref4=1bad3d0 (11:1) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1badc00, eref4=1ba4420 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baf000, eref4=1ba43a0 (11:8) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . oclass2= 23 (face) mtype2= 1 (sforward) obj=1ba42e0, eref2=1bb1760 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1badcc0, eref3=0 (0:0) . . . < senses= 1 1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baef40, eref4=1bad390 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1badc00, eref4=1ba4420 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae640, data5= 3.0000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae680, data5= 3.0000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . oclass2= 23 (face) mtype2= -1 (sreverse) obj=1ba4320, eref2=1bb1850 (12:1) . . . oclass3= 22 (loop) mtype3= 4 (closed) obj=1badd00, eref3=0 (0:0) . . . < senses=-1 -1 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baefc0, eref4=1baf840 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, data5= 1.1000000000e+00 1.0000000000e+00 -2.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . oclass4= 21 (edge) mtype4= 2 (twonode) obj=1baf040, eref4=1ba43e0 (11:2) . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae700, data5= 1.1000000000e+00 1.0000000000e+00 -1.0000000000e+00 . . . . . oclass5= 20 (node) mtype5= 0, obj=1bae6c0, 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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/gougedBox.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! --> applyDisplacement(ipmtr=1) -> status=0 (success) ==> applyDisplacement CPUtime= 0.021 sec ==> serveCSM completed successfully + for i in '$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= 0.025 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 '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/plate5.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! 7FB6A2D03700 EGADS Internal: Face 17 -> Renormalizing 0, ntris = 154 (154)! ==> serveCSM completed successfully + for i in '$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! 7F9FD122F700 Face 8: Quad tri = 31 Zero Area! 7F9FA2FFD700 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! 7FA10E372700 Face 8: Quad tri = 31 Zero Area! 7FA0E7FFF700 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! 7F223A14B700 Face 6: Quad tri = 31 Zero Area! 7F22137FE700 Face 20: Quad tri = 15 Zero Area! 7F2230FF9700 Face 18: Quad tri = 31 Zero Area! ==> serveCSM completed successfully with 1 warnings + for i in '$CSMFILES' + /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM -batch -verify -outLevel 0 ../../OpenCSM/trunk/data/basic/rule10k.csm EGADS WARNING: OpenCASCADE 6.8.1 NOT an Authorized Release! ==> serveCSM completed successfully with 8 warnings + for i in '$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! 7F0AC97FA700 Face 18: Quad tri = 31 Zero Area! 7F0AD09DF700 Face 6: Quad tri = 31 Zero Area! 7F0AC77F6700 Face 20: Quad tri = 15 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! 7FE20AFFD700 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! 7F3AB6FFD700 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! 7F81D37FE700 Face 11: Quad tri = 15 Zero Area! 7F8179FF3700 Face 1: Quad tri = 31 Zero Area! 7F81AAFFD700 Face 23: Quad tri = 15 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) 7FD2227FC700 Face 1: Quad tri = 31 Zero Area! 7FD2A9FFB700 Face 11: Quad tri = 15 Zero Area! 7FD2B2F9B700 Face 23: Quad tri = 15 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! 7F67A49D3740 Face 1: NM Node = 5, Loops = 3/-1 1/1! 7F67A49D3740 Face 1: NM Node = 4, Loops = 3/-1 1/1! 7F67A49D3740 EGADS Internal: Face 1 -> Renormalizing 0, ntris = 510 (0)! 7F67A49D3740 EGADS Internal: Face 1 -> Renormalizing 1, ntris = 510 (0)! 7F67A49D3740 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 ****** ****** 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 ****** ****** 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 ****** ** 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! Body x: -3.25000 3.25000 y: -1.08239 1.08239 z: -1.29887 1.29887 Node 1 x: 2.65000 y: 0.00000 z: 0.15000 Node 2 x: -2.65000 y: 0.00000 z: 0.15000 Node 3 x: 2.65000 y: 0.00000 z: -0.15000 Node 4 x: -2.65000 y: 0.00000 z: -0.15000 Node 5 x: 2.75000 y: 0.00000 z: 0.25000 Node 6 x: 2.75000 y: 0.00000 z: -0.25000 Node 7 x: -2.75000 y: 0.00000 z: 0.25000 Node 8 x: -2.75000 y: 0.00000 z: -0.25000 Node 9 x: 2.75000 y: -1.00000 z: -0.66332 Node 10 x: 2.75000 y: -1.00000 z: 0.66332 Node 11 x: 2.75000 y: -0.66332 z: 1.00000 Node 12 x: 2.75000 y: 0.66332 z: 1.00000 Node 13 x: 2.75000 y: 1.00000 z: 0.66332 Node 14 x: 2.75000 y: 1.00000 z: -0.66332 Node 15 x: 2.75000 y: 0.66332 z: -1.00000 Node 16 x: 2.75000 y: -0.66332 z: -1.00000 Node 17 x: -2.75000 y: -0.66667 z: -0.99778 Node 18 x: -2.75000 y: -0.66667 z: 0.99778 Node 19 x: -2.75000 y: 0.00000 z: 1.20000 Node 20 x: -2.75000 y: 0.66667 z: 0.99778 Node 21 x: -2.75000 y: 0.66667 z: -0.99778 Node 22 x: -2.75000 y: -0.00000 z: -1.20000 Node 23 x: 3.25000 y: -1.00000 z: -0.66332 Node 24 x: 3.25000 y: -1.00000 z: 0.66332 Node 25 x: 3.25000 y: -0.66332 z: 1.00000 Node 26 x: 3.25000 y: 0.66332 z: 1.00000 Node 27 x: 3.25000 y: 1.00000 z: 0.66332 Node 28 x: 3.25000 y: 1.00000 z: -0.66332 Node 29 x: 3.25000 y: 0.66332 z: -1.00000 Node 30 x: 3.25000 y: -0.66332 z: -1.00000 Node 31 x: -3.25000 y: -0.66667 z: 0.99778 Node 32 x: -3.25000 y: -0.66667 z: -0.99778 Node 33 x: -3.25000 y: 0.00000 z: 1.20000 Node 34 x: -3.25000 y: 0.66667 z: 0.99778 Node 35 x: -3.25000 y: 0.66667 z: -0.99778 Node 36 x: -3.25000 y: -0.00000 z: -1.20000 Edge 1 x: -2.65000 2.65000 y: -0.00000 0.00000 z: 0.15000 0.15000 Edge 2 x: 2.65000 2.65000 y: -0.16236 0.00000 z: -0.16236 0.16236 Edge 3 x: -2.65000 -2.65000 y: -0.16236 0.00000 z: -0.16236 0.16236 Edge 4 x: -2.65001 2.65001 y: -0.00001 0.00001 z: -0.15001 -0.14999 Edge 5 x: 2.65000 2.65000 y: -0.00000 0.16236 z: -0.16236 0.16236 Edge 6 x: -2.65000 -2.65000 y: -0.00000 0.16236 z: -0.16236 0.16236 Edge 7 x: 2.65000 2.75824 y: -0.00000 0.00000 z: 0.14176 0.25000 Edge 8 x: 2.75000 2.75000 y: -0.27060 0.00000 z: -0.27060 0.27060 Edge 9 x: 2.65000 2.75824 y: -0.00000 0.00000 z: -0.25000 -0.14176 Edge 10 x: -2.75824 -2.65000 y: -0.00000 0.00000 z: 0.14176 0.25000 Edge 11 x: -2.75000 -2.75000 y: -0.27060 0.00000 z: -0.27060 0.27060 Edge 12 x: -2.75824 -2.65000 y: -0.00000 0.00000 z: -0.25000 -0.14176 Edge 13 x: 2.75000 2.75000 y: -0.00000 0.27060 z: -0.27060 0.27060 Edge 14 x: -2.75000 -2.75000 y: -0.00000 0.27060 z: -0.27060 0.27060 Edge 15 x: 2.75000 2.75000 y: -1.00000 -1.00000 z: -0.66333 0.66333 Edge 16 x: 2.75000 2.75000 y: -1.08239 -0.66332 z: 0.66332 1.08239 Edge 17 x: 2.75000 2.75000 y: -0.66333 0.66333 z: 1.00000 1.00000 Edge 18 x: 2.75000 2.75000 y: 0.66332 1.08239 z: 0.66332 1.08239 Edge 19 x: 2.75000 2.75000 y: 1.00000 1.00000 z: -0.66333 0.66333 Edge 20 x: 2.75000 2.75000 y: 0.66332 1.08239 z: -1.08239 -0.66332 Edge 21 x: 2.75000 2.75000 y: -0.66333 0.66333 z: -1.00000 -1.00000 Edge 22 x: 2.75000 2.75000 y: -1.08239 -0.66332 z: -1.08239 -0.66332 Edge 23 x: -2.75000 -2.75000 y: -0.66667 -0.66667 z: -0.99778 0.99778 Edge 24 x: -2.75000 -2.75000 y: -0.72159 0.00000 z: 0.99778 1.29887 Edge 25 x: -2.75000 -2.75000 y: -0.00000 0.72159 z: 0.99778 1.29887 Edge 26 x: -2.75000 -2.75000 y: 0.66667 0.66667 z: -0.99778 0.99778 Edge 27 x: -2.75000 -2.75000 y: -0.00000 0.72159 z: -1.29887 -0.99778 Edge 28 x: -2.75000 -2.75000 y: -0.72159 0.00000 z: -1.29887 -0.99778 Edge 29 x: 3.25000 3.25000 y: -1.00000 -1.00000 z: -0.66333 0.66333 Edge 30 x: 2.75000 3.25000 y: -1.00000 -1.00000 z: 0.66332 0.66333 Edge 31 x: 2.75000 3.25000 y: -1.00000 -1.00000 z: -0.66333 -0.66332 Edge 32 x: 2.75000 3.25000 y: -0.66333 -0.66332 z: 1.00000 1.00000 Edge 33 x: 3.25000 3.25000 y: -1.08239 -0.66332 z: 0.66332 1.08239 Edge 34 x: 2.75000 3.25000 y: 0.66332 0.66333 z: 1.00000 1.00000 Edge 35 x: 3.25000 3.25000 y: -0.66333 0.66333 z: 1.00000 1.00000 Edge 36 x: 2.75000 3.25000 y: 1.00000 1.00000 z: 0.66332 0.66333 Edge 37 x: 3.25000 3.25000 y: 0.66332 1.08239 z: 0.66332 1.08239 Edge 38 x: 3.25000 3.25000 y: 1.00000 1.00000 z: -0.66333 0.66333 Edge 39 x: 2.75000 3.25000 y: 1.00000 1.00000 z: -0.66333 -0.66332 Edge 40 x: 2.75000 3.25000 y: 0.66332 0.66333 z: -1.00000 -1.00000 Edge 41 x: 3.25000 3.25000 y: 0.66332 1.08239 z: -1.08239 -0.66332 Edge 42 x: 3.25000 3.25000 y: -0.66333 0.66333 z: -1.00000 -1.00000 Edge 43 x: 2.75000 3.25000 y: -0.66333 -0.66332 z: -1.00000 -1.00000 Edge 44 x: 3.25000 3.25000 y: -1.08239 -0.66332 z: -1.08239 -0.66332 Edge 45 x: -3.25000 -2.75000 y: -0.66667 -0.66667 z: 0.99778 0.99778 Edge 46 x: -3.25000 -3.25000 y: -0.66667 -0.66667 z: -0.99778 0.99778 Edge 47 x: -3.25000 -2.75000 y: -0.66667 -0.66667 z: -0.99778 -0.99778 Edge 48 x: -3.25000 -3.25000 y: -0.72159 0.00000 z: 0.99778 1.29887 Edge 49 x: -3.25000 -2.75000 y: -0.00000 0.00000 z: 1.20000 1.20000 Edge 50 x: -3.25000 -3.25000 y: -0.00000 0.72159 z: 0.99778 1.29887 Edge 51 x: -3.25000 -2.75000 y: 0.66667 0.66667 z: 0.99778 0.99778 Edge 52 x: -3.25000 -3.25000 y: 0.66667 0.66667 z: -0.99778 0.99778 Edge 53 x: -3.25000 -2.75000 y: 0.66667 0.66667 z: -0.99778 -0.99778 Edge 54 x: -3.25001 -2.74999 y: -0.00001 0.00001 z: -1.20001 -1.19999 Edge 55 x: -3.25000 -3.25000 y: -0.00000 0.72159 z: -1.29887 -0.99778 Edge 56 x: -3.25000 -3.25000 y: -0.72159 0.00000 z: -1.29887 -0.99778 Face 1 x: -2.65000 2.65000 y: -0.16236 0.00000 z: -0.16236 0.16236 Face 2 x: -2.65000 2.65000 y: -0.00000 0.16236 z: -0.16236 0.16236 Face 3 x: 2.65000 2.75824 y: -0.27060 0.00000 z: -0.27060 0.27060 Face 4 x: -2.75824 -2.65000 y: -0.27060 0.00000 z: -0.27060 0.27060 Face 5 x: 2.65000 2.75824 y: -0.00000 0.27060 z: -0.27060 0.27060 Face 6 x: -2.75824 -2.65000 y: -0.00000 0.27060 z: -0.27060 0.27060 Face 7 x: 2.75000 2.75000 y: -1.08239 1.08239 z: -1.08239 1.08239 Face 8 x: -2.75000 -2.75000 y: -0.72159 0.72159 z: -1.29887 1.29887 Face 9 x: 2.75000 3.25000 y: -1.00000 -1.00000 z: -0.66332 0.66332 Face 10 x: 2.75000 3.25000 y: -1.08239 -0.66332 z: 0.66332 1.08239 Face 11 x: 2.75000 3.25000 y: -0.66332 0.66332 z: 1.00000 1.00000 Face 12 x: 2.75000 3.25000 y: 0.66332 1.08239 z: 0.66332 1.08239 Face 13 x: 2.75000 3.25000 y: 1.00000 1.00000 z: -0.66332 0.66332 Face 14 x: 2.75000 3.25000 y: 0.66332 1.08239 z: -1.08239 -0.66332 Face 15 x: 2.75000 3.25000 y: -0.66332 0.66332 z: -1.00000 -1.00000 Face 16 x: 2.75000 3.25000 y: -1.08239 -0.66332 z: -1.08239 -0.66332 Face 17 x: -3.25000 -2.75000 y: -0.66667 -0.66667 z: -0.99778 0.99778 Face 18 x: -3.25000 -2.75000 y: -0.72159 0.00000 z: 0.99778 1.29887 Face 19 x: -3.25000 -2.75000 y: 0.00000 0.72159 z: 0.99778 1.29887 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: 0x0000000003ebe9b0 *** ======= Backtrace: ========= /lib/x86_64-linux-gnu/libc.so.6(+0x777e5)[0x7f26788c47e5] /lib/x86_64-linux-gnu/libc.so.6(+0x80dfb)[0x7f26788cddfb] /lib/x86_64-linux-gnu/libc.so.6(cfree+0x4c)[0x7f26788d153c] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so(EG_free+0x16)[0x7f26794e4ba1] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so(EG_solidBoolean+0x2aee)[0x7f26793dd689] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(+0xdc7b0)[0x7f26799877b0] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(+0x86c09)[0x7f2679931c09] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so(ocsmBuild+0x12283)[0x7f26798debee] /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)[0x7f267886d830] /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM[0x403a59] ======= Memory map: ======== 00400000-00451000 r-xp 00000000 08:10 58074603 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM 00651000-00652000 r--p 00051000 08:10 58074603 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM 00652000-00656000 rw-p 00052000 08:10 58074603 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/bin/serveCSM 00656000-00665000 rw-p 00000000 00:00 0 021b6000-0c5af000 rw-p 00000000 00:00 0 [heap] 7f266c000000-7f266c021000 rw-p 00000000 00:00 0 7f266c021000-7f2670000000 ---p 00000000 00:00 0 7f2672978000-7f2672980000 r-xp 00000000 08:10 58074639 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so 7f2672980000-7f2672b7f000 ---p 00008000 08:10 58074639 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so 7f2672b7f000-7f2672b80000 r--p 00007000 08:10 58074639 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so 7f2672b80000-7f2672b81000 rw-p 00008000 08:10 58074639 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/ellipse.so 7f2672b81000-7f2672b83000 rw-p 00000000 00:00 0 7f2672b83000-7f2672dcc000 r-xp 00000000 08:21 89784333 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so 7f2672dcc000-7f2672fcc000 ---p 00249000 08:21 89784333 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so 7f2672fcc000-7f2672fde000 rw-p 00249000 08:21 89784333 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPBase.so 7f2672fde000-7f2672fe9000 rw-p 00000000 00:00 0 7f2672fe9000-7f267309a000 r-xp 00000000 08:21 89784354 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so 7f267309a000-7f2673299000 ---p 000b1000 08:21 89784354 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so 7f2673299000-7f267329f000 rw-p 000b0000 08:21 89784354 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP209.so 7f267329f000-7f26732a2000 rw-p 00000000 00:00 0 7f26732a2000-7f267333a000 r-xp 00000000 08:21 89784332 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so 7f267333a000-7f267353a000 ---p 00098000 08:21 89784332 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so 7f267353a000-7f267353f000 rw-p 00098000 08:21 89784332 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEPAttr.so 7f267353f000-7f2673542000 rw-p 00000000 00:00 0 7f2673542000-7f2673549000 r-xp 00000000 08:01 11144631 /lib/x86_64-linux-gnu/librt-2.23.so 7f2673549000-7f2673748000 ---p 00007000 08:01 11144631 /lib/x86_64-linux-gnu/librt-2.23.so 7f2673748000-7f2673749000 r--p 00006000 08:01 11144631 /lib/x86_64-linux-gnu/librt-2.23.so 7f2673749000-7f267374a000 rw-p 00007000 08:01 11144631 /lib/x86_64-linux-gnu/librt-2.23.so 7f267374a000-7f2673761000 r-xp 00000000 08:01 11141299 /lib/x86_64-linux-gnu/libgcc_s.so.1 7f2673761000-7f2673960000 ---p 00017000 08:01 11141299 /lib/x86_64-linux-gnu/libgcc_s.so.1 7f2673960000-7f2673961000 r--p 00016000 08:01 11141299 /lib/x86_64-linux-gnu/libgcc_s.so.1 7f2673961000-7f2673962000 rw-p 00017000 08:01 11141299 /lib/x86_64-linux-gnu/libgcc_s.so.1 7f2673962000-7f2673b35000 r-xp 00000000 08:01 10223951 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28 7f2673b35000-7f2673d34000 ---p 001d3000 08:01 10223951 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28 7f2673d34000-7f2673d3f000 r--p 001d2000 08:01 10223951 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28 7f2673d3f000-7f2673d42000 rw-p 001dd000 08:01 10223951 /usr/lib/x86_64-linux-gnu/libstdc++.so.6.0.28 7f2673d42000-7f2673d45000 rw-p 00000000 00:00 0 7f2673d45000-7f2673f94000 r-xp 00000000 08:21 89784339 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so 7f2673f94000-7f2674193000 ---p 0024f000 08:21 89784339 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so 7f2674193000-7f267419c000 rw-p 0024e000 08:21 89784339 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFillet.so 7f267419c000-7f267419d000 rw-p 00000000 00:00 0 7f267419d000-7f2674508000 r-xp 00000000 08:21 89784376 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so 7f2674508000-7f2674708000 ---p 0036b000 08:21 89784376 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so 7f2674708000-7f267471d000 rw-p 0036b000 08:21 89784376 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKIGES.so 7f267471d000-7f2674725000 rw-p 00000000 00:00 0 7f2674725000-7f2674962000 r-xp 00000000 08:21 89784353 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so 7f2674962000-7f2674b61000 ---p 0023d000 08:21 89784353 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so 7f2674b61000-7f2674b70000 rw-p 0023c000 08:21 89784353 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKXSBase.so 7f2674b70000-7f2674b76000 rw-p 00000000 00:00 0 7f2674b76000-7f2674dc6000 r-xp 00000000 08:21 89784372 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so 7f2674dc6000-7f2674fc6000 ---p 00250000 08:21 89784372 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so 7f2674fc6000-7f2674fd7000 rw-p 00250000 08:21 89784372 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKSTEP.so 7f2674fd7000-7f2674fdb000 rw-p 00000000 00:00 0 7f2674fdb000-7f26751d4000 r-xp 00000000 08:21 89784340 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so 7f26751d4000-7f26753d4000 ---p 001f9000 08:21 89784340 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so 7f26753d4000-7f26753dd000 rw-p 001f9000 08:21 89784340 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKShHealing.so 7f26753dd000-7f26753de000 rw-p 00000000 00:00 0 7f26753de000-7f26757d6000 r-xp 00000000 08:21 89784367 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so 7f26757d6000-7f26759d5000 ---p 003f8000 08:21 89784367 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so 7f26759d5000-7f2675a21000 rw-p 003f7000 08:21 89784367 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomBase.so 7f2675a21000-7f2675a25000 rw-p 00000000 00:00 0 7f2675a25000-7f2675b18000 r-xp 00000000 08:21 89784356 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so 7f2675b18000-7f2675d18000 ---p 000f3000 08:21 89784356 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so 7f2675d18000-7f2675d1f000 rw-p 000f3000 08:21 89784356 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG3d.so 7f2675d1f000-7f2675d20000 rw-p 00000000 00:00 0 7f2675d20000-7f2675d82000 r-xp 00000000 08:21 89784349 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so 7f2675d82000-7f2675f82000 ---p 00062000 08:21 89784349 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so 7f2675f82000-7f2675f85000 rw-p 00062000 08:21 89784349 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKG2d.so 7f2675f85000-7f2675f86000 rw-p 00000000 00:00 0 7f2675f86000-7f267606c000 r-xp 00000000 08:21 89784374 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so 7f267606c000-7f267626c000 ---p 000e6000 08:21 89784374 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so 7f267626c000-7f2676273000 rw-p 000e6000 08:21 89784374 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBRep.so 7f2676273000-7f2676275000 rw-p 00000000 00:00 0 7f2676275000-7f2676486000 r-xp 00000000 08:21 89784336 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so 7f2676486000-7f2676686000 ---p 00211000 08:21 89784336 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so 7f2676686000-7f2676690000 rw-p 00211000 08:21 89784336 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKTopAlgo.so 7f2676690000-7f2676693000 rw-p 00000000 00:00 0 7f2676693000-7f26766e5000 r-xp 00000000 08:21 89784371 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so 7f26766e5000-7f26768e4000 ---p 00052000 08:21 89784371 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so 7f26768e4000-7f26768e7000 rw-p 00051000 08:21 89784371 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKPrim.so 7f26768e7000-7f26769de000 r-xp 00000000 08:21 89784335 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so 7f26769de000-7f2676bdd000 ---p 000f7000 08:21 89784335 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so 7f2676bdd000-7f2676be3000 rw-p 000f6000 08:21 89784335 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKOffset.so 7f2676be3000-7f2676e09000 r-xp 00000000 08:21 89784361 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so 7f2676e09000-7f2677009000 ---p 00226000 08:21 89784361 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so 7f2677009000-7f2677016000 rw-p 00226000 08:21 89784361 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKMath.so 7f2677016000-7f267701a000 rw-p 00000000 00:00 0 7f267701a000-7f267747b000 r-xp 00000000 08:21 89784370 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so 7f267747b000-7f267767a000 ---p 00461000 08:21 89784370 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so 7f267767a000-7f267768a000 rw-p 00460000 08:21 89784370 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKGeomAlgo.so 7f267768a000-7f267768d000 rw-p 00000000 00:00 0 7f267768d000-7f267780c000 r-xp 00000000 08:21 89784348 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so 7f267780c000-7f2677a0c000 ---p 0017f000 08:21 89784348 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so 7f2677a0c000-7f2677a14000 rw-p 0017f000 08:21 89784348 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBO.so 7f2677a14000-7f2677af0000 r-xp 00000000 08:21 89784351 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so 7f2677af0000-7f2677cef000 ---p 000dc000 08:21 89784351 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so 7f2677cef000-7f2677cf3000 rw-p 000db000 08:21 89784351 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKFeat.so 7f2677cf3000-7f2677cf4000 rw-p 00000000 00:00 0 7f2677cf4000-7f2677ef0000 r-xp 00000000 08:21 89784344 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so 7f2677ef0000-7f26780f0000 ---p 001fc000 08:21 89784344 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so 7f26780f0000-7f26780fb000 rw-p 001fc000 08:21 89784344 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKernel.so 7f26780fb000-7f2678104000 rw-p 00000000 00:00 0 7f2678104000-7f2678438000 r-xp 00000000 08:21 89784337 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so 7f2678438000-7f2678638000 ---p 00334000 08:21 89784337 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so 7f2678638000-7f2678646000 rw-p 00334000 08:21 89784337 /home/jenkins/util/ESP/OpenCASCADE-6.8.1/lin64/gcc/lib/libTKBool.so 7f2678646000-7f2678649000 rw-p 00000000 00:00 0 7f2678649000-7f267864c000 r-xp 00000000 08:01 11144728 /lib/x86_64-linux-gnu/libdl-2.23.so 7f267864c000-7f267884b000 ---p 00003000 08:01 11144728 /lib/x86_64-linux-gnu/libdl-2.23.so 7f267884b000-7f267884c000 r--p 00002000 08:01 11144728 /lib/x86_64-linux-gnu/libdl-2.23.so 7f267884c000-7f267884d000 rw-p 00003000 08:01 11144728 /lib/x86_64-linux-gnu/libdl-2.23.so 7f267884d000-7f2678a0d000 r-xp 00000000 08:01 11144745 /lib/x86_64-linux-gnu/libc-2.23.so 7f2678a0d000-7f2678c0d000 ---p 001c0000 08:01 11144745 /lib/x86_64-linux-gnu/libc-2.23.so 7f2678c0d000-7f2678c11000 r--p 001c0000 08:01 11144745 /lib/x86_64-linux-gnu/libc-2.23.so 7f2678c11000-7f2678c13000 rw-p 001c4000 08:01 11144745 /lib/x86_64-linux-gnu/libc-2.23.so 7f2678c13000-7f2678c17000 rw-p 00000000 00:00 0 7f2678c17000-7f2678d1f000 r-xp 00000000 08:01 11144748 /lib/x86_64-linux-gnu/libm-2.23.so 7f2678d1f000-7f2678f1e000 ---p 00108000 08:01 11144748 /lib/x86_64-linux-gnu/libm-2.23.so 7f2678f1e000-7f2678f1f000 r--p 00107000 08:01 11144748 /lib/x86_64-linux-gnu/libm-2.23.so 7f2678f1f000-7f2678f20000 rw-p 00108000 08:01 11144748 /lib/x86_64-linux-gnu/libm-2.23.so 7f2678f20000-7f2678f39000 r-xp 00000000 08:01 11141205 /lib/x86_64-linux-gnu/libz.so.1.2.8 7f2678f39000-7f2679138000 ---p 00019000 08:01 11141205 /lib/x86_64-linux-gnu/libz.so.1.2.8 7f2679138000-7f2679139000 r--p 00018000 08:01 11141205 /lib/x86_64-linux-gnu/libz.so.1.2.8 7f2679139000-7f267913a000 rw-p 00019000 08:01 11141205 /lib/x86_64-linux-gnu/libz.so.1.2.8 7f267913a000-7f2679152000 r-xp 00000000 08:01 11144732 /lib/x86_64-linux-gnu/libpthread-2.23.so 7f2679152000-7f2679351000 ---p 00018000 08:01 11144732 /lib/x86_64-linux-gnu/libpthread-2.23.so 7f2679351000-7f2679352000 r--p 00017000 08:01 11144732 /lib/x86_64-linux-gnu/libpthread-2.23.so 7f2679352000-7f2679353000 rw-p 00018000 08:01 11144732 /lib/x86_64-linux-gnu/libpthread-2.23.so 7f2679353000-7f2679357000 rw-p 00000000 00:00 0 7f2679357000-7f2679611000 r-xp 00000000 08:10 58074140 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so 7f2679611000-7f2679810000 ---p 002ba000 08:10 58074140 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so 7f2679810000-7f2679812000 r--p 002b9000 08:10 58074140 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so 7f2679812000-7f267982f000 rw-p 002bb000 08:10 58074140 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libegads.so 7f267982f000-7f26798ab000 rw-p 00000000 00:00 0 7f26798ab000-7f26799d0000 r-xp 00000000 08:10 58074602 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so 7f26799d0000-7f2679bcf000 ---p 00125000 08:10 58074602 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so 7f2679bcf000-7f2679bd0000 r--p 00124000 08:10 58074602 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so 7f2679bd0000-7f2679bd5000 rw-p 00125000 08:10 58074602 /jenkins/workspace/ESP_Coverage/ESP/LINUX64/lib/libocsm.so 7f2679bd5000-7f2679c03000 rw-p 00000000 00:00 0 7f2679c03000-7f2679c29000 r-xp 00000000 08:01 11144730 /lib/x86_64-linux-gnu/ld-2.23.so 7f2679df6000-7f2679e07000 rw-p 00000000 00:00 0 7f2679e26000-7f2679e28000 rw-p 00000000 00:00 0 7f2679e28000-7f2679e29000 r--p 00025000 08:01 11144730 /lib/x86_64-linux-gnu/ld-2.23.so 7f2679e29000-7f2679e2a000 rw-p 00026000 08:01 11144730 /lib/x86_64-linux-gnu/ld-2.23.so 7f2679e2a000-7f2679e2b000 rw-p 00000000 00:00 0 7fffb5e51000-7fffb5ea4000 rw-p 00000000 00:00 0 [stack] 7fffb5ef5000-7fffb5ef7000 r--p 00000000 00:00 0 [vvar] 7fffb5ef7000-7fffb5ef9000 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: 30045 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 ++ sort -f ++ 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 + 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 -> 0.107 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 -> 1.503 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 -> 0.104 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 -> 0.109 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 -> 0.031 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 -> 5.093 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 -> 0.009 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 -> 0.132 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 -> 0.008 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 -> 0.174 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 -> 0.155 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 -> 3.688 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 -> 3.284 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 -> 24.679 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 -> 25.774 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 -> 0.021 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 -> 0.041 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 -> 0.248 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 -> 0.238 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 -> 4.531 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 -> 4.427 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 -> 5.087 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 -> 7.722 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 -> 0.010 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 -> 0.145 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 -> 3.779 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 -> 3.596 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 -> 1.846 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 -> 1.866 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 -> 1.525 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 -> 1.436 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 -> 1.726 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 -> 1.362 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 -> 0.939 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 -> 1.198 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 -> 2.196 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 -> 2.422 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 -> 0.946 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 -> 1.192 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 -> 2.554 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 -> 2.297 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 -> 0.021 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 -> 0.077 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 -> 0.328 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 -> 0.476 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 -> 0.134 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 -> 8.897 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 -> 0.128 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 -> 0.496 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 -> 0.433 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 -> 0.218 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 -> 0.284 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 -> 0.184 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 -> 0.244 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 -> 0.015 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 -> 0.013 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 -> 1.010 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 -> 0.866 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 -> 8.255 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 -> 8.617 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 -> 0.061 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 -> 1.961 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 -> 0.192 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 -> 5.355 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 -> 15.352 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 -> 17.465 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 -> 3.220 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 -> 3.011 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 -> 0.190 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 -> 4.686 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 -> 111.631 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 -> 104.929 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 -> 4.078 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 -> 4.133 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 -> 111.765 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 -> 120.070 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 -> 0.045 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 -> 1.242 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 -> 0.032 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 -> 0.954 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 -> 0.098 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 -> 0.965 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 -> 0.007 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 -> 0.337 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 -> 0.030 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 -> 3.086 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 -> 39.740 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 -> 175.125 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 -> 0.003 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 -> 0.150 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 -> 0.593 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 -> 1.360 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 -> 0.721 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 -> 1.414 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 -> 1.273 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 -> 1.316 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 -> 0.583 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 -> 1.325 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 -> 1.181 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 -> 1.906 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 -> 0.007 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 -> 0.309 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 -> 0.137 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 -> 0.010 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 -> 0.120 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/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 -> 0.010 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 -> 0.136 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 -> 0.010 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 -> 0.121 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/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 -> 0.104 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 -> 0.007 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 -> 0.109 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/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 -> 0.026 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/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 -> 0.317 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 -> 0.311 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 -> 0.332 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 -> 0.025 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 -> 0.344 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 -> 0.027 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/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 -> 0.349 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 -> 0.024 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 -> 0.263 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 -> 0.249 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 -> 0.186 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 -> 0.209 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 -> 5.074 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 -> 3.076 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 -> 0.339 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 -> 0.425 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 -> 0.466 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 -> 0.572 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 -> 2.180 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 -> 2.554 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 -> 0.325 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 -> 0.409 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 -> 0.483 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 -> 0.592 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 -> 2.235 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 -> 2.677 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 -> 0.366 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 -> 0.346 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 -> 0.637 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 -> 0.621 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 -> 3.581 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 -> 3.857 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 -> 0.557 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 -> 0.545 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 -> 1.081 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 -> 1.078 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 -> 6.810 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 -> 7.004 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 -> 0.392 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 -> 0.407 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 -> 0.688 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 -> 0.714 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 -> 4.226 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 -> 4.435 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 -> 0.464 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 -> 0.696 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 -> 0.505 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 -> 0.555 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 -> 0.367 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 -> 0.420 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 -> 0.543 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 -> 0.622 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 -> 0.806 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 -> 0.885 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 -> 0.454 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 -> 0.535 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 -> 3.125 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 -> 2.207 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 -> 4.431 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 -> 4.648 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 -> 2.342 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 -> 2.508 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 -> 0.028 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 -> 0.047 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 -> 0.111 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 -> 0.094 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 -> 0.584 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 -> 0.394 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 -> 0.235 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 -> 0.208 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 -> 0.155 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 -> 1.158 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/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 -> 0.005 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 -> 0.058 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 -> 0.052 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 -> 0.388 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 -> 0.029 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 -> 0.255 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 -> 0.063 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 -> 0.097 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 -> 0.023 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 -> 0.277 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 -> 0.031 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 -> 0.081 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 -> 0.864 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 -> 1.474 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 -> 1.105 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 -> 1.409 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 -> 1.532 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 -> 1.826 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 -> 1.596 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 -> 1.937 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 -> 1.596 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 -> 2.042 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 -> 1.550 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 -> 1.993 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 -> 0.728 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 -> 1.031 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 -> 1.160 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 -> 1.557 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 -> 1.146 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 -> 1.692 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 -> 1.331 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 -> 1.570 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 -> 1.127 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 -> 1.624 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 -> 8.032 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 -> 7.065 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 -> 2.837 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 -> 2.979 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 -> 5.647 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 -> 6.064 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 -> 2.723 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 -> 3.868 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 -> 7.315 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 -> 7.223 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 -> 7.728 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 -> 8.159 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 -> 17.269 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 -> 17.872 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 -> 0.023 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 -> 0.117 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 -> 0.138 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 -> 0.008 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 -> 0.013 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 -> 0.422 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 -> 0.041 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 -> 1.535 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 -> 0.045 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 -> 1.701 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 -> 0.029 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 -> 1.402 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 -> 0.092 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 -> 4.068 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 -> 0.708 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 -> 0.700 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 -> 0.894 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 -> 0.880 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 -> 0.026 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 -> 0.035 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 -> 0.018 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 -> 0.048 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 -> 0.357 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 -> 0.559 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 -> 0.353 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 -> 0.486 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 -> 0.388 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 -> 0.368 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 -> 0.281 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 -> 0.416 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 -> 0.943 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 -> 0.954 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 -> 0.694 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 -> 0.829 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 -> 1.703 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 -> 2.044 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 0m4.264s user 0m4.256s sys 0m0.020s + 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 0m47.135s user 0m47.740s sys 0m0.020s + 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 0m0.044s user 0m0.040s sys 0m0.000s + 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 0m0.036s user 0m0.032s sys 0m0.004s + 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 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_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 0m12.077s user 0m9.608s sys 0m0.408s + 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% (60047 of 103137 lines) functions..: 61.4% (797 of 1297 functions) branches...: no data found real 0m0.474s user 0m0.448s sys 0m0.024s + python /home/jenkins/util/lcov/lcov_cobertura.py coverage.info -o coverage.xml real 0m8.635s user 0m8.032s sys 0m0.580s + 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 0m1.838s user 0m0.292s sys 0m0.040s [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 #151' 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 #152'. [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/jenkins8406269311338043651.sh + echo EGADS 1322 OpenCSM 1830 EGADS 1322 OpenCSM 1830 [description-setter] Description set: EGADS 1322 OpenCSM 1830 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