Started by upstream project "ESP_QuickTestOcsm" build number 166
originally caused by:
Started by user galbramc
Running as galbramc
[EnvInject] - Loading node environment variables.
Building remotely on macys in workspace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/circle1_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/circle2_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/naca_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/ruled_naca_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire.so
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/udpTire.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/egads2tri
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/egads2tri.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/tire
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/tire.o
Updating svn+ssh://acdl.mit.edu/home/svnroot/EGADS at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1532
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP
Updating svn+ssh://acdl.mit.edu/home/svnroot/JenkinsESP at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
U ESP_Regression.bat
U RunRegression.sh
U expectSENS.sh
At revision 488
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/src
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/src at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/data
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/data at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/udc
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/udc at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/Jenkins
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/Jenkins at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/pyOCSM
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
No changes for svn+ssh://acdl.mit.edu/home/svnroot/EGADS since the previous build
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/OpenCSM/trunk/src since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/data since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/udc since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/Jenkins since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM since the previous build
[GitCheckoutListener] SCM 'hudson.scm.SubversionSCM' is not of type GitSCM
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[Execution node] check if [macys] is in [[macys, macys_VM, reynolds]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[DARWIN64] $ /bin/bash -xe /var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/jenkins6822359697049610048.sh
+ export NOCAPS=true
+ NOCAPS=true
+ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/ESP_Regression.sh
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/ESP_Env.sh
+++ AFLR_VERSION=10.11.10
+++ export EFCOMP=gfortran
+++ EFCOMP=gfortran
+++ [[ macys == \r\e\y\n\o\l\d\s ]]
+++ [[ DARWIN64 == *\.\i\f\o\r\t ]]
+++ [[ DARWIN64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export ESP_BLOC=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ ESP_BLOC=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ export ESP_ROOT=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ ESP_ROOT=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ export AWAVE=awavemod.f
+++ AWAVE=awavemod.f
+++ export RLM_CONNECT_TIMEOUT=350
+++ RLM_CONNECT_TIMEOUT=350
+++ [[ macys == *\r\e\y\n\o\l\d\s* ]]
+++ [[ macys == *\m\a\c\y\s* ]]
+++ export EMPnumProc=2
+++ EMPnumProc=2
+++ source /Users/jenkins/.bash_profile
+++++ brew --prefix
/Users/jenkins/.bash_profile: line 2: brew: command not found
++++ '[' -f /etc/bash_completion ']'
++++ export PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ export PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ export pwid_LICENSE=5053@acdl.mit.edu
++++ pwid_LICENSE=5053@acdl.mit.edu
+++ export PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export CASARCH=.
+++ CASARCH=.
+++ export CASROOT=/Users/jenkins/util/ESP/OpenCASCADE-7.3.1
+++ CASROOT=/Users/jenkins/util/ESP/OpenCASCADE-7.3.1
+++ export UDUNITS2_XML_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/udunits/udunits2.xml
+++ UDUNITS2_XML_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/udunits/udunits2.xml
+++ export ESP_EXTERN_LIBS=/Users/jenkins/util/ESP/ExternLibs
+++ ESP_EXTERN_LIBS=/Users/jenkins/util/ESP/ExternLibs
+++ export DYLD_LIBRARY_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib:/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:
+++ DYLD_LIBRARY_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib:/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:
+++ export AFLR=/Users/jenkins/util/AFLR/aflr_lib_10.11.10
+++ AFLR=/Users/jenkins/util/AFLR/aflr_lib_10.11.10
+++ export AFLR_ARCH=MacOSX-x86-64
+++ AFLR_ARCH=MacOSX-x86-64
+++ export ASTROS_ROOT=/Users/jenkins/util/astros/Astros/Darwin-64bit
+++ ASTROS_ROOT=/Users/jenkins/util/astros/Astros/Darwin-64bit
+++ export PATH=/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export CART3D=/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28
+++ CART3D=/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28
+++ export PATH=/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export PATH=/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export IRIT_LIB=/Users/jenkins/util/ESP/IRIT/irit-osx/lib
+++ IRIT_LIB=/Users/jenkins/util/ESP/IRIT/irit-osx/lib
+++ export IRIT_INC=/Users/jenkins/util/ESP/IRIT/irit-sm
+++ IRIT_INC=/Users/jenkins/util/ESP/IRIT/irit-sm
+++ export PATH=/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export CAPS_GLYPH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/CAPS/aim/pointwise/glyph
+++ CAPS_GLYPH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/CAPS/aim/pointwise/glyph
+++ export SU2_HOME=/Users/jenkins/util/SU2/SU2_Falcon
+++ SU2_HOME=/Users/jenkins/util/SU2/SU2_Falcon
+++ export SU2_RUN=/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ SU2_RUN=/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export TETGEN=/Users/jenkins/util/tetgen/tetgen1.6.0
+++ TETGEN=/Users/jenkins/util/tetgen/tetgen1.6.0
+++ export PATH=/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/pyEGADS:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/pyEGADS:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ [[ macys == \m\a\c\y\s* ]]
+++ mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python-config
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/virtualenv
+++ [[ macys == \m\a\c\y\s ]]
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3 /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3-config /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python-config
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/virtualenv /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/virtualenv
++++ python-config --includes
+++ export 'PYTHONINC=. -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
+++ PYTHONINC='. -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
++++ python-config --ldflags
+++ export 'PYTHONLIB=-L/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -ldl -framework CoreFoundation'
+++ PYTHONLIB='-L/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -ldl -framework CoreFoundation'
+++ export PYTHONUNBUFFERED=true
+++ PYTHONUNBUFFERED=true
+++ python --version
Python 3.7.7
+++ [[ DARWIN64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export CSMDATA=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/data
+++ CSMDATA=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/data
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/ESPbfr.sh
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/
+++ tar -xvf /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/ESPbfr.tgz
x ESP/
x ESP/.DS_Store
x ESP/CYGWIN64/
x ESP/DARWIN64/
x ESP/LINUX64/
x ESP/udunits/
x ESP/WIN64/
x ESP/WIN64/.DS_Store
x ESP/WIN64/bin/
x ESP/WIN64/include/
x ESP/WIN64/lib/
x ESP/WIN64/obj/
x ESP/WIN64/test/
x ESP/WIN64/lib/.DS_Store
x ESP/WIN64/lib/expat.dll
x ESP/WIN64/lib/libgcc_s_sjlj-1.dll
x ESP/WIN64/lib/libquadmath-0.dll
x ESP/WIN64/lib/libwinpthread-1.dll
x ESP/WIN64/lib/nmb.dll
x ESP/WIN64/lib/nmb.lib
x ESP/WIN64/lib/udunits2.dll
x ESP/WIN64/lib/udunits2.lib
x ESP/WIN64/include/.DS_Store
x ESP/WIN64/include/converter.h
x ESP/WIN64/include/nmb.h
x ESP/WIN64/include/udunits.h
x ESP/WIN64/include/udunits2.h
x ESP/WIN64/include/winhelpers/
x ESP/WIN64/include/winhelpers/.DS_Store
x ESP/WIN64/include/winhelpers/gettimeofday.h
x ESP/WIN64/include/winhelpers/netdb.h
x ESP/WIN64/include/winhelpers/strings.h
x ESP/WIN64/include/winhelpers/sys/
x ESP/WIN64/include/winhelpers/unistd.h
x ESP/WIN64/include/winhelpers/websock-w32.h
x ESP/WIN64/include/winhelpers/sys/time.h
x ESP/WIN64/bin/ASTRO.D01
x ESP/WIN64/bin/ASTRO.IDX
x ESP/WIN64/bin/mastros.exe
x ESP/udunits/udunits2-accepted.xml
x ESP/udunits/udunits2-base.xml
x ESP/udunits/udunits2-common.xml
x ESP/udunits/udunits2-derived.xml
x ESP/udunits/udunits2-prefixes.xml
x ESP/udunits/udunits2.xml
x ESP/LINUX64/.DS_Store
x ESP/LINUX64/bin/
x ESP/LINUX64/include/
x ESP/LINUX64/lib/
x ESP/LINUX64/obj/
x ESP/LINUX64/test/
x ESP/LINUX64/lib/.DS_Store
x ESP/LINUX64/lib/libc3dio.a
x ESP/LINUX64/lib/libCart3D.a
x ESP/LINUX64/lib/libnmb.so
x ESP/LINUX64/include/.DS_Store
x ESP/LINUX64/include/c3dio/
x ESP/LINUX64/include/libCart3D/
x ESP/LINUX64/include/nmb.h
x ESP/LINUX64/include/xddm/
x ESP/LINUX64/include/xddm/xddm.c
x ESP/LINUX64/include/xddm/xddm.h
x ESP/LINUX64/include/xddm/xddmInternals.h
x ESP/LINUX64/include/libCart3D/.DS_Store
x ESP/LINUX64/include/libCart3D/basicTypes.h
x ESP/LINUX64/include/libCart3D/bBox_stuff.h
x ESP/LINUX64/include/libCart3D/c3d_global.h
x ESP/LINUX64/include/libCart3D/c3d_timeout.h
x ESP/LINUX64/include/libCart3D/cartCells.h
x ESP/LINUX64/include/libCart3D/CaseInfo.h
x ESP/LINUX64/include/libCart3D/ConvInfo.h
x ESP/LINUX64/include/libCart3D/dualtime.h
x ESP/LINUX64/include/libCart3D/earthBL_BC.h
x ESP/LINUX64/include/libCart3D/encoding.h
x ESP/LINUX64/include/libCart3D/geomStructures.h
x ESP/LINUX64/include/libCart3D/geomTypes.h
x ESP/LINUX64/include/libCart3D/GridInfo.h
x ESP/LINUX64/include/libCart3D/gridStructures.h
x ESP/LINUX64/include/libCart3D/hex.h
x ESP/LINUX64/include/libCart3D/infoStructures.h
x ESP/LINUX64/include/libCart3D/int64.h
x ESP/LINUX64/include/libCart3D/IOinfo.h
x ESP/LINUX64/include/libCart3D/limiters.h
x ESP/LINUX64/include/libCart3D/map.h
x ESP/LINUX64/include/libCart3D/memory_util.h
x ESP/LINUX64/include/libCart3D/MGinfo.h
x ESP/LINUX64/include/libCart3D/myLList.h
x ESP/LINUX64/include/libCart3D/PostProcInfo.h
x ESP/LINUX64/include/libCart3D/sensors.h
x ESP/LINUX64/include/libCart3D/SFC.h
x ESP/LINUX64/include/libCart3D/SolverInfo.h
x ESP/LINUX64/include/libCart3D/stateVector.h
x ESP/LINUX64/include/libCart3D/string_util.h
x ESP/LINUX64/include/libCart3D/timer.h
x ESP/LINUX64/include/libCart3D/utils_xml.h
x ESP/LINUX64/include/libCart3D/vortexBC.h
x ESP/LINUX64/include/c3dio/c3dio_icemcfd.h
x ESP/LINUX64/include/c3dio/c3dio_lib.h
x ESP/LINUX64/bin/ASTRO.D01
x ESP/LINUX64/bin/ASTRO.IDX
x ESP/LINUX64/bin/mastros.exe
x ESP/DARWIN64/.DS_Store
x ESP/DARWIN64/bin/
x ESP/DARWIN64/include/
x ESP/DARWIN64/lib/
x ESP/DARWIN64/obj/
x ESP/DARWIN64/test/
x ESP/DARWIN64/lib/libc3dio.a
x ESP/DARWIN64/lib/libCart3D.a
x ESP/DARWIN64/lib/libgcc_s.1.dylib
x ESP/DARWIN64/lib/libnmb.dylib
x ESP/DARWIN64/lib/libquadmath.0.dylib
x ESP/DARWIN64/lib/libudunits2.0.dylib
x ESP/DARWIN64/lib/libudunits2.dylib
x ESP/DARWIN64/include/.DS_Store
x ESP/DARWIN64/include/c3dio/
x ESP/DARWIN64/include/converter.h
x ESP/DARWIN64/include/libCart3D/
x ESP/DARWIN64/include/nmb.h
x ESP/DARWIN64/include/udunits.h
x ESP/DARWIN64/include/udunits2.h
x ESP/DARWIN64/include/xddm/
x ESP/DARWIN64/include/xddm/xddm.c
x ESP/DARWIN64/include/xddm/xddm.h
x ESP/DARWIN64/include/xddm/xddmInternals.h
x ESP/DARWIN64/include/libCart3D/.DS_Store
x ESP/DARWIN64/include/libCart3D/basicTypes.h
x ESP/DARWIN64/include/libCart3D/bBox_stuff.h
x ESP/DARWIN64/include/libCart3D/c3d_global.h
x ESP/DARWIN64/include/libCart3D/c3d_timeout.h
x ESP/DARWIN64/include/libCart3D/cartCells.h
x ESP/DARWIN64/include/libCart3D/CaseInfo.h
x ESP/DARWIN64/include/libCart3D/ConvInfo.h
x ESP/DARWIN64/include/libCart3D/dualtime.h
x ESP/DARWIN64/include/libCart3D/earthBL_BC.h
x ESP/DARWIN64/include/libCart3D/encoding.h
x ESP/DARWIN64/include/libCart3D/geomStructures.h
x ESP/DARWIN64/include/libCart3D/geomTypes.h
x ESP/DARWIN64/include/libCart3D/GridInfo.h
x ESP/DARWIN64/include/libCart3D/gridStructures.h
x ESP/DARWIN64/include/libCart3D/hex.h
x ESP/DARWIN64/include/libCart3D/infoStructures.h
x ESP/DARWIN64/include/libCart3D/int64.h
x ESP/DARWIN64/include/libCart3D/IOinfo.h
x ESP/DARWIN64/include/libCart3D/limiters.h
x ESP/DARWIN64/include/libCart3D/map.h
x ESP/DARWIN64/include/libCart3D/memory_util.h
x ESP/DARWIN64/include/libCart3D/MGinfo.h
x ESP/DARWIN64/include/libCart3D/myLList.h
x ESP/DARWIN64/include/libCart3D/PostProcInfo.h
x ESP/DARWIN64/include/libCart3D/sensors.h
x ESP/DARWIN64/include/libCart3D/SFC.h
x ESP/DARWIN64/include/libCart3D/SolverInfo.h
x ESP/DARWIN64/include/libCart3D/stateVector.h
x ESP/DARWIN64/include/libCart3D/string_util.h
x ESP/DARWIN64/include/libCart3D/timer.h
x ESP/DARWIN64/include/libCart3D/utils_xml.h
x ESP/DARWIN64/include/libCart3D/vortexBC.h
x ESP/DARWIN64/include/c3dio/c3dio_icemcfd.h
x ESP/DARWIN64/include/c3dio/c3dio_lib.h
x ESP/DARWIN64/bin/ASTRO.D01
x ESP/DARWIN64/bin/ASTRO.IDX
x ESP/DARWIN64/bin/mastros.exe
x ESP/CYGWIN64/.DS_Store
x ESP/CYGWIN64/bin/
x ESP/CYGWIN64/include/
x ESP/CYGWIN64/lib/
x ESP/CYGWIN64/obj/
x ESP/CYGWIN64/test/
x ESP/CYGWIN64/lib/.DS_Store
x ESP/CYGWIN64/lib/libgcc_s_sjlj-1.dll
x ESP/CYGWIN64/lib/libquadmath-0.dll
x ESP/CYGWIN64/lib/libwinpthread-1.dll
x ESP/CYGWIN64/include/.DS_Store
x ESP/CYGWIN64/bin/.DS_Store
x ESP/CYGWIN64/bin/ASTRO.D01
x ESP/CYGWIN64/bin/ASTRO.IDX
x ESP/CYGWIN64/bin/mastros.exe
+++ virtualenv --system-site-packages /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv
created virtual environment CPython3.7.7.final.0-64 in 576ms
creator CPython3Posix(dest=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv, clear=False, global=True)
seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/Users/jenkins/Library/Application Support/virtualenv/seed-app-data/v1.0.1)
activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
+++ . /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv/bin/activate
++++ '[' /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv/bin/activate = /var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/jenkins6822359697049610048.sh ']'
++++ deactivate nondestructive
++++ unset -f pydoc
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ '[' -n /bin/bash ']'
++++ hash -r
++++ '[' -z '' ']'
++++ unset VIRTUAL_ENV
++++ '[' '!' nondestructive = nondestructive ']'
++++ VIRTUAL_ENV=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
++++ PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv/bin:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin:/Users/jenkins/util/xfoil/Xfoil/bin:/Users/jenkins/util/tsfoil:/Applications/Pointwise/PointwiseV18.3R1:/Users/jenkins/util/delaundo/delaundo/src:/Users/jenkins/util/cart3d/cart3d_v1.5.7_OSX64_ICC--20.10.28/bin/OSX64_ICC/:/Users/jenkins/util/avl/Avl3.36/bin:/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/:/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
++++ export PATH
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ _OLD_VIRTUAL_PS1=
++++ '[' x '!=' x ']'
+++++ basename /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv
++++ PS1='(ESP_venv) '
++++ export PS1
++++ alias pydoc
++++ true
++++ '[' -n /bin/bash ']'
++++ hash -r
+++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv/bin/pip install -U f90nml
Requirement already up-to-date: f90nml in /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib/python3.7/site-packages (1.2)
WARNING: You are using pip version 20.1.1; however, version 20.3.3 is available.
You should consider upgrading via the '/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP_venv/bin/python -m pip install --upgrade pip' command.
+++ [[ macys == \m\a\c\y\s* ]]
+++ install_name_tool -add_rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/mastros.exe
+++ [[ /Users/jenkins/util/ESP/ExternLibs == '' ]]
+++ '[' -d /Users/jenkins/util/ESP/ExternLibs ']'
+++ cp /Users/jenkins/util/ESP/ExternLibs/intersectWake.so /Users/jenkins/util/ESP/ExternLibs/markWakeEdges.so /Users/jenkins/util/ESP/ExternLibs/sansLIPAIM.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/src
+++ make
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
cp -p ../include/DARWIN64 /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD1
SurrealD1_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD4
SurrealD4_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS1
SurrealS1_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS4 -O -I. ../util/SurrealS4_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS4
SurrealS4_test_suite Complete!
(cd ../util; make)
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 uvmap/main/uvmap.c -Iuvmap \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_find_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_find_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_gen.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_gen.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_read.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_read.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_struct_free.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_struct_free.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_test.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_test.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/EG_uvmap_write.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_write.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_add.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_add.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_bnd_adj.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_bnd_adj.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_chk_area_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_chk_area_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_cpu_message.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_cpu_message.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_find_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_find_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_from_egads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_from_egads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_gen.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_gen.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_gen_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_gen_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_ibeibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibeibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_ibfibf.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibfibf.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_ibfin.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibfin.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_iccibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_iccibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_iccin.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_iccin.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_idibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_idibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_inibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_inibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_inl_uv_bnd.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_inl_uv_bnd.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_malloc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_malloc.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_mben_disc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_mben_disc.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_message.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_message.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_norm_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_norm_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_read.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_read.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_solve.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_solve.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_struct_tasks.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_struct_tasks.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_test.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_test.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_to_egads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_to_egads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_version.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_version.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I. uvmap/uvmap_write.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_write.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 egadsUVmap.c -Iuvmap \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsUVmap.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsUVmap.o EG_uvmap_find_uv.o EG_uvmap_gen.o EG_uvmap_read.o EG_uvmap_struct_free.o EG_uvmap_test.o EG_uvmap_write.o uvmap_add.o uvmap_bnd_adj.o uvmap_chk_area_uv.o uvmap_cpu_message.o uvmap_find_uv.o uvmap_from_egads.o uvmap_gen.o uvmap_gen_uv.o uvmap_ibeibe.o uvmap_ibfibf.o uvmap_ibfin.o uvmap_iccibe.o uvmap_iccin.o uvmap_idibe.o uvmap_inibe.o uvmap_inl_uv_bnd.o uvmap_malloc.o uvmap_mben_disc.o uvmap_message.o uvmap_norm_uv.o uvmap_read.o uvmap_solve.o uvmap_struct_tasks.o uvmap_test.o uvmap_to_egads.o uvmap_version.o uvmap_write.o; )
ar: creating archive /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/uvmap.exe /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -luvmap -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsGeom.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsGeom.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsHLevel.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsHLevel.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsTopo.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTopo.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsCopy.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsCopy.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsSpline.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSpline.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsIO.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsIO.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsSplineFit.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSplineFit.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsSkinning.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSkinning.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. egadsTessSens.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTessSens.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include \
-I. BRepLib_FuseEdges.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BRepLib_FuseEdges.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsBase.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsBase.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsMemory.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsMemory.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsAttrs.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsAttrs.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsTessInp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTessInp.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsTris.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTris.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsQuads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsQuads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsFit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsFit.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsRobust.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsRobust.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsSBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSBO.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
prmCfit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmCfit.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
prmGrid.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmGrid.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
prmUV.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmUV.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsExport.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsExport.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsEffect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsEffect.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include -I../util \
egadsSolids.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSolids.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -DDARWIN64 -I../include ../util/emp.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/emp.o
clang++ -m64 -g -x c++ -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I. -I../include \
../util/evaluate.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/evaluate.o
clang++ -m64 -g -x c++ -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I. -I../include \
../util/rational.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rational.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../util \
../util/regQuads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/regQuads.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegads.dylib
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegads.dylib
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; clang -m64 -g -dynamiclib -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegads.dylib egadsGeom.o egadsHLevel.o egadsTopo.o egadsCopy.o egadsSpline.o egadsIO.o egadsSplineFit.o egadsSkinning.o egadsTessSens.o BRepLib_FuseEdges.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 egadsEffect.o egadsSolids.o emp.o evaluate.o rational.o regQuads.o \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -luvmap -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -lc++ -undefined error \
-install_name '@rpath/libegads.dylib' \
-compatibility_version 7.3 \
-current_version 1.0.19 )
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
cp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; \
ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/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 egadsEffect.o egadsSolids.o egadsGeom.o egadsHLevel.o egadsTopo.o egadsCopy.o egadsSpline.o egadsIO.o egadsSplineFit.o egadsSkinning.o egadsTessSens.o BRepLib_FuseEdges.o emp.o \
evaluate.o rational.o regQuads.o; )
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsBase.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsBase.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsMemory.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsMemory.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsAttrs.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsAttrs.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsHLevel.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsHLevel.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsGeom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsGeom.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I../include fgadsTopo.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsTopo.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a fgadsBase.o fgadsMemory.o fgadsAttrs.o fgadsTess.o fgadsHLevel.o fgadsGeom.o fgadsTopo.o; )
ar: creating archive /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a emp.o; )
ar: creating archive /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
cp -p ../include/egads.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
cp -p ../include/egads_dot.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
cp -p ../include/egads.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
cp -p ../include/egadsErrors.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
cp -p ../include/egadsTypes.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
cp -p ../include/emp.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
cp -p ../include/prm.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
cp -p ../include/wsserver.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
cp -p ../include/wsserver.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
cp -p ../include/wsss.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
cp -p egadsTris.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
cp -p egadsSplineFit.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
cp -p egadsSplineVels.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
cp -p ../include/egadsf90.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD_Lazy.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD_Lazy.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD_Trad.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD_Trad.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS_Lazy.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS_Lazy.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS_Trad.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS_Trad.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/always_inline.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/always_inline.h
*** EGADS Build Complete! ***
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/wvServer
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include base64-decode.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/base64-decode.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include handshake.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/handshake.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include client-handshake.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/client-handshake.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include libwebsockets.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/libwebsockets.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension-deflate-stream.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extension-deflate-stream.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include md5.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/md5.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension-x-google-mux.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extension-x-google-mux.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsers.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsers.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extension.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include sha-1.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sha-1.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include browserMessage.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/browserMessage.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include server.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/server.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include wv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/wv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fwv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fwv.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libwsserver.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libwsserver.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/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 archive /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libwsserver.a
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DLWS_NO_FORK -DSTANDALONE server.c \
-I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/servertest.o
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/server /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/servertest.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver \
-lpthread -lz -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/test
++++ ls BSplineIGES.make CSys.make GBO.make SBO.make addKnots.make agglom.make approx.make blend.make chamfer.make closure.make edge2WB.make edges.make effective.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 globalTess.make hollow.make hollowFace.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 scribe.make sew.make smallEdges.make step.make sweep.make test.make tolerance.make union.make vAttr.make vCurvature.make vEffect.make vEto.make vFrame.make vGeom.make vQuad.make vTess.make vTessInp.make xform.make
+++ for file in '`ls *.make`'
+++ make -f BSplineIGES.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include BSplineIGES.c -o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BSplineIGES.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/BSplineIGES /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BSplineIGES.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f CSys.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include CSys.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/CSys.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/CSys /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/CSys.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f GBO.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include GBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/GBO.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/GBO /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/GBO.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f SBO.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include SBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SBO.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/SBO /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SBO.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f addKnots.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include addKnots.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/addKnots.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/addKnots /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/addKnots.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f agglom.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include agglom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/agglom.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/agglom /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/agglom.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -legads -lm
+++ for file in '`ls *.make`'
+++ make -f approx.make
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include approx.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/approx.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/approx /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/approx.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads \
-legads -Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f blend.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include blend.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/blend.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/blend /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/blend.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f chamfer.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include chamfer.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/chamfer.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/chamfer /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/chamfer.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f closure.make
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include closure.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/closure.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/closure /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/closure.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads \
-legads -Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f edge2WB.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include edge2WB.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edge2WB.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/edge2WB /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edge2WB.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f edges.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include edges.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edges.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/edges /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edges.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f effective.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include effective.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/effective.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/effective /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/effective.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egads2cart.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egads2cart.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2cart.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egads2cart /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2cart.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egads2ply.make
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. egads2ply.cpp -std=c++11 \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2ply.o
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I. tinyply.cpp -std=c++11 -w \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tinyply.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egads2ply /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2ply.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tinyply.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egadsGeom_dot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsGeom_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsGeom_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsGeom_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsGeom_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egadsHLevel_dot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsHLevel_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsHLevel_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsHLevel_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsHLevel_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egadsSpline_dot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsSpline_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSpline_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsSpline_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSpline_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egadsTopo_dot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsTopo_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTopo_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsTopo_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTopo_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f exportLite.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include ../src/egadsExport.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/exportLite.o -DSTANDALONE
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/exportLite /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/exportLite.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f extrot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include extrot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extrot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/extrot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extrot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fillet.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fillet.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fillet.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fillet /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fillet.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fit.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fit.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fit /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fit.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fitTri.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fitTri.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fitTri.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fitTri /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fitTri.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fullAttr.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fullAttr.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fullAttr.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fullAttr /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fullAttr.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fuseSheets.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include fuseSheets.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fuseSheets.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fuseSheets /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fuseSheets.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f globalTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include globalTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/globalTess.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/globalTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/globalTess.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f hollow.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include hollow.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollow.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/hollow /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollow.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f hollowFace.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include hollowFace.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollowFace.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/hollowFace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollowFace.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f intersect.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include intersect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/intersect.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/intersect /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/intersect.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeCone.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeCone.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeCone.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeCone /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeCone.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeFace3D.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeFace3D.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeFace3D.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeFace3D /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeFace3D.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeLoop.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeLoop.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeLoop.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeLoop /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeLoop.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mapTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include mapTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mapTess.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mapTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mapTess.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mofb.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include mofb.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mofb.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mofb /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mofb.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mssb.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include mssb.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mssb.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mssb /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mssb.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f multiContext.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include multiContext.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/multiContext.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/multiContext /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/multiContext.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f offset.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include offset.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/offset.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/offset /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/offset.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f rebuild.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include rebuild.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rebuild.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/rebuild /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rebuild.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f ref.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include ref.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ref.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/ref /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ref.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f replace.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include replace.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/replace.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/replace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/replace.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f revolve.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include revolve.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/revolve.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/revolve /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/revolve.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f ruled.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include ruled.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/ruled /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f scribe.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include scribe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/scribe.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/scribe /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/scribe.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f sew.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include sew.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sew.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/sew /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sew.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f smallEdges.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include smallEdges.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/smallEdges.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/smallEdges /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/smallEdges.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f step.make
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include step.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/step.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/step /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/step.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f sweep.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include sweep.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sweep.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/sweep /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sweep.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f test.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include testc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testc.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/testc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testc.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include testf.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testf.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/testf /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testf.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsec.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsec.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/parsec /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsec.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsef.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsef.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/parsef /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsef.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f tolerance.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include tolerance.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tolerance.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/tolerance /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tolerance.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f union.make
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include union.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/union.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/union /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/union.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f vAttr.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vAttr.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vAttr.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vAttr /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vAttr.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vCurvature.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vCurvature.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vCurvature.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vCurvature /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vCurvature.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vEffect.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vEffect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEffect.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vEffect /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEffect.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vEto.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vEto.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEto.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vEto /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEto.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vFrame.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vFrame.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vFrame.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vFrame /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vFrame.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vGeom.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vGeom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vGeom.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vGeom /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vGeom.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads \
-lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vQuad.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vQuad.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vQuad.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vQuad /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vQuad.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include ../util/retessFaces.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTesstatic /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legadstatic -L/Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet \
-lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vTessInp.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include vTessInp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTessInp.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTessInp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTessInp.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f xform.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include xform.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/xform.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/test/xform /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/xform.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial
+++ make -f tire.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include tire.c
clang++ -m64 -g -o tire tire.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ make -f egads2tri.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include egads2tri.c
clang++ -m64 -g -o egads2tri egads2tri.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. circle1_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle1_dot.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. pingBodies.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o
clang -m64 -g -o circle1_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle1_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. circle2_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle2_dot.o
clang -m64 -g -o circle2_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle2_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. naca_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca_dot.o
clang -m64 -g -o naca_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. ruled_naca_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled_naca_dot.o
clang -m64 -g -o ruled_naca_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled_naca_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/src
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. serveCSM.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/serveCSM.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. OpenCSM.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/OpenCSM.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udp.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib
clang -m64 -g -dynamiclib -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/OpenCSM.o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udp.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -ldl \
-undefined error -install_name '@rpath/libocsm.dylib' \
-compatibility_version 1.0.19 -current_version 1.0.19
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/serveCSM /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/serveCSM.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -lwsserver -legads -lpthread -lz -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. sensCSM.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sensCSM.o
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sensCSM.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBezier.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBezier.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBezier.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBiconvex.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBiconvex.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBiconvex.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBox.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBox.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBox.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCatmull.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCatmull.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCatmull.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCompare.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCompare.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCompare.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCreateBEM.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreateBEM.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreateBEM.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCreatePoly.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreatePoly.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreatePoly.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpCsm.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpCsm.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpCsm.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfDroop.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfDroop.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfDroop.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfEditAttr.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfEditAttr.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfEditAttr.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpEllipse.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpEllipse.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpEllipse.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpFitcurve.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFitcurve.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFitcurve.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpFreeform.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFreeform.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFreeform.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfFlend.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfFlend.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfFlend.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfGanged.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGanged.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGanged.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfGuide.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGuide.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGuide.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfMatchBodys.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfMatchBodys.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfMatchBodys.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpHex.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpHex.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpHex.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpImport.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpImport.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpImport.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpKulfan.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpKulfan.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpKulfan.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNaca.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNurbbody.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNurbbody.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNurbbody.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang++ -m64 -g -c -O -fPIC -DOCC_CONVERT_SIGNALS -DCSFDB -DHAVE_WOK_CONFIG_H -DHAVE_CONFIG_H -DNDEBUG -DNo_Exception -D_OCC64 -Wall -Wno-write-strings -Wno-dangling-else -Wno-unused-result -std=c++11 -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpParsec.cpp \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpParsec.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so
clang++ -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpParsec.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpPod.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPod.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPod.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpPoly.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPoly.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPoly.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfPrintBbox.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBbox.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBbox.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfPrintBrep.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBrep.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBrep.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpRadwaf.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpRadwaf.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpRadwaf.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSample.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSample.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSample.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSew.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSew.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSew.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpStag.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpStag.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpStag.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfStiffener.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfStiffener.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfStiffener.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSupell.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSupell.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSupell.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpWaffle.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpWaffle.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpWaffle.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. eggPDT2.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/eggPDT2.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/eggPDT2.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNaca456.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca456.o
gfortran -m64 -g -c -O -frecursive -fcray-pointer naca456.f90 -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca456.o -J /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so
gfortran -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca456.o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca456.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
cp -p OpenCSM.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
cp -p common.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
cp -p udp.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
cp -p egg.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
cp -p udpUtilities.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.c
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.c
cp -p udpUtilities.c /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.c
+++ [[ /Users/jenkins/util/ESP/IRIT/irit-osx/lib != '' ]]
+++ [[ /Users/jenkins/util/ESP/IRIT/irit-sm != '' ]]
+++ make -f udfTile.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. -I/Users/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfTile.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfTile.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -locsm -L/Users/jenkins/util/ESP/IRIT/irit-osx/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 -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include udpTire.c -o tire.o
clang -m64 -g -o tire tire.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.3 -DUDP -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/include udpTire.c
touch tire.so
rm tire.so
clang -m64 -g -bundle -undefined error -o tire.so udpTire.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib
+++ [[ true == '' ]]
+++ ln -f -s /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/udc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64
++++ find /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM/trunk/data/training/ -name Makefile
++ mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test
++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/RunRegression.sh
+++ [[ 0 == 1 ]]
+++ [[ 0 == 2 ]]
+++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64 == '' ]]
+++ [[ sensCSM/config == '' ]]
+++ [[ 7.3 == '' ]]
+++ [[ ! -d /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP ]]
+++ [[ sensCSM/config =~ [0-9]+.[0-9]+ ]]
+++ export ESPTEST=sensCSM/config
+++ ESPTEST=sensCSM/config
+++ [[ sensCSM/config == \C\A\P\S* ]]
+++ [[ sensCSM/config == \s\e\n\s\C\S\M* ]]
+++++ pwd
++++ relpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM
++++ local source=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test
++++ local target=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM
++++ local common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test
++++ local result=
++++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM == \/\U\s\e\r\s\/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\D\A\R\W\I\N\6\4\/\O\p\e\n\C\S\M ]]
+++++ dirname /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/test
++++ common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP
++++ [[ -z '' ]]
++++ local result=..
++++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/OpenCSM == \/\U\s\e\r\s\/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\D\A\R\W\I\N\6\4\/\O\p\e\n\C\S\M ]]
+++++ dirname /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP
++++ common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64
++++ [[ -z .. ]]
++++ local result=../..
++++ [[ /OpenCSM == \/\U\s\e\r\s\/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\D\A\R\W\I\N\6\4\/\O\p\e\n\C\S\M ]]
++++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64 == \/ ]]
++++ forward_part=/OpenCSM
++++ [[ -n ../.. ]]
++++ [[ -n /OpenCSM ]]
++++ local result=../../OpenCSM
++++ echo ../../OpenCSM
+++ export OPENCSM=../../OpenCSM
+++ OPENCSM=../../OpenCSM
+++ find ../../OpenCSM/trunk/data/basic -name 'design*.csm'
+++ sort -f
+++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/splitCSMFiles.sh
++++ [[ -n '' ]]
+++ export SENS=-config
+++ SENS=-config
+++ cp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/JenkinsESP/data/sensFailure.txt .
+++ set +x
total 19976
-rw-r----- 1 jenkins staff 1.2M Oct 30 2018 ASTRO.D01
-rw-r----- 1 jenkins staff 316K Oct 30 2018 ASTRO.IDX
-rwxr-xr-x 1 jenkins staff 7.9M Jan 20 11:56 mastros.exe
lrwxr-xr-x 1 jenkins staff 59B Jan 20 11:56 python -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3
lrwxr-xr-x 1 jenkins staff 66B Jan 20 11:56 python-config -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3-config
-rwxr-xr-x 1 jenkins staff 52K Jan 20 11:59 sensCSM
-rwxr-xr-x 1 jenkins staff 304K Jan 20 11:59 serveCSM
lrwxr-xr-x 1 jenkins staff 62B Jan 20 11:56 virtualenv -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/virtualenv
Testing CSM files:
../../OpenCSM/trunk/data/basic/design0.csm
../../OpenCSM/trunk/data/basic/design0a.csm
../../OpenCSM/trunk/data/basic/design0b.csm
../../OpenCSM/trunk/data/basic/design0c.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/design8.csm
../../OpenCSM/trunk/data/basic/design8a.csm
../../OpenCSM/trunk/data/basic/design8b.csm
../../OpenCSM/trunk/data/basic/design8c.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
../../OpenCSM/trunk/data/basic/designK0.csm
../../OpenCSM/trunk/data/basic/designK1.csm
../../OpenCSM/trunk/data/basic/designK2.csm
../../OpenCSM/trunk/data/basic/designL00.csm
../../OpenCSM/trunk/data/basic/designL01.csm
../../OpenCSM/trunk/data/basic/designL10.csm
../../OpenCSM/trunk/data/basic/designL11.csm
../../OpenCSM/trunk/data/basic/designL12.csm
../../OpenCSM/trunk/data/basic/designL20.csm
../../OpenCSM/trunk/data/basic/designL21.csm
../../OpenCSM/trunk/data/basic/designL22.csm
../../OpenCSM/trunk/data/basic/designL30.csm
../../OpenCSM/trunk/data/basic/designL31.csm
../../OpenCSM/trunk/data/basic/designL32.csm
../../OpenCSM/trunk/data/basic/designL33.csm
../../OpenCSM/trunk/data/basic/designL34.csm
../../OpenCSM/trunk/data/basic/designL40.csm
../../OpenCSM/trunk/data/basic/designL41.csm
../../OpenCSM/trunk/data/basic/designL42.csm
../../OpenCSM/trunk/data/basic/designM0.csm
../../OpenCSM/trunk/data/basic/designM1.csm
../../OpenCSM/trunk/data/basic/designM2.csm
../../OpenCSM/trunk/data/basic/designM3.csm
../../OpenCSM/trunk/data/basic/designM4.csm
../../OpenCSM/trunk/data/basic/designN1.csm
../../OpenCSM/trunk/data/basic/designN2.csm
../../OpenCSM/trunk/data/basic/designP0a.csm
../../OpenCSM/trunk/data/basic/designP0b.csm
../../OpenCSM/trunk/data/basic/designP0c.csm
../../OpenCSM/trunk/data/basic/designP1a.csm
../../OpenCSM/trunk/data/basic/designP1b.csm
../../OpenCSM/trunk/data/basic/designP1c.csm
../../OpenCSM/trunk/data/basic/designP2a.csm
../../OpenCSM/trunk/data/basic/designP2b.csm
../../OpenCSM/trunk/data/basic/designP2c.csm
../../OpenCSM/trunk/data/basic/designP3a.csm
../../OpenCSM/trunk/data/basic/designP3b.csm
../../OpenCSM/trunk/data/basic/designP3c.csm
../../OpenCSM/trunk/data/basic/designP4a.csm
../../OpenCSM/trunk/data/basic/designP4b.csm
../../OpenCSM/trunk/data/basic/designP4c.csm
( 1 / 180 )
data/basic/design0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.2187e-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= 1.2430e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.3004e-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= 1.2111e-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= 8.9492e-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= 1.2187e-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= 1.5233e-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= 2.1046e-09)
d(Edge)/d(rotz) check complete with 0 total errors (errmax= 2.5417e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5417e-09) with 0 suppressions
real 0m0.403s
user 0m0.180s
sys 0m0.013s
++++ set +x
data/basic/design0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 2 / 180 )
data/basic/design0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.088 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.955s
user 0m0.946s
sys 0m0.168s
++++ set +x
data/basic/design0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 3 / 180 )
data/basic/design0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.081 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.134s
user 0m0.145s
sys 0m0.011s
++++ set +x
data/basic/design0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 4 / 180 )
data/basic/design0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
d(Face)/d(xbeg1) check complete with 0 total errors (errmax= 2.0457e-10)
d(Edge)/d(xbeg1) check complete with 0 total errors (errmax= 1.8686e-09)
d(Node)/d(xbeg1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
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= 2.0987e-10)
d(Edge)/d(ybeg1) check complete with 0 total errors (errmax= 1.4504e-07)
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= 9.6838e-07)
d(Edge)/d(zbeg1) check complete with 0 total errors (errmax= 1.2940e-06)
d(Node)/d(zbeg1) check complete with 0 total errors (errmax= 1.2989e-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= 1.8155e-10)
d(Edge)/d(xend1) check complete with 0 total errors (errmax= 1.3978e-10)
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
d(Face)/d(rad1) check complete with 0 total errors (errmax= 1.3734e-07)
d(Edge)/d(rad1) check complete with 0 total errors (errmax= 2.0733e-07)
d(Node)/d(rad1) check complete with 0 total errors (errmax= 2.0778e-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= 2.4715e-10)
d(Edge)/d(xbeg2) check complete with 0 total errors (errmax= 1.5805e-06)
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= 2.1761e-10)
d(Edge)/d(ybeg2) check complete with 0 total errors (errmax= 6.3111e-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= 9.6841e-07)
d(Edge)/d(zbeg2) check complete with 0 total errors (errmax= 1.9366e-06)
d(Node)/d(zbeg2) check complete with 0 total errors (errmax= 1.2989e-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= 1.8155e-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
d(Face)/d(rad2) check complete with 0 total errors (errmax= 8.5873e-07)
d(Edge)/d(rad2) check complete with 0 total errors (errmax= 1.1894e-06)
d(Node)/d(rad2) check complete with 0 total errors (errmax= 1.2989e-06)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.013 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9366e-06) with 0 suppressions
real 0m0.825s
user 0m1.274s
sys 0m0.338s
++++ set +x
data/basic/design0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 5 / 180 )
data/basic/design0d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7956e-10) with 0 suppressions
real 0m0.152s
user 0m0.089s
sys 0m0.011s
++++ set +x
data/basic/design0d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 6 / 180 )
data/basic/design0e.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0e.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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)
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= 0.0000e+00)
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= 1.8348e-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= 1.0001e-12)
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= 0.0000e+00)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.1682e-10)
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= 2.3059e-10)
d(Node)/d(alpha) check complete with 0 total errors (errmax= 2.4064e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 8 total errors (max config err= 4.0350e-04) with 0 suppressions
real 0m0.233s
user 0m0.153s
sys 0m0.012s
++++ set +x
data/basic/design0e -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 7 / 180 )
data/basic/design0f.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0f.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.4600e-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= 1.3106e-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= 1.1357e-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= 5.8387e-10)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.0280e-09)
d(Node)/d(dz) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.015 sec
Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions
real 0m0.173s
user 0m0.195s
sys 0m0.014s
++++ set +x
data/basic/design0f -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 8 / 180 )
data/basic/design0g.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0g.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.9547e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 2.9140e-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= 3.9547e-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= 4.0411e-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= 3.8737e-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= 3.9547e-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= 3.9547e-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= 3.9368e-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= 4.0747e-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= 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= 3.9547e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.6009e-11)
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= 3.9547e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.4822e-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= 4.2282e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 6.7448e-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= 4.0029e-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= 5.1118e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 7.9855e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 8.5201e-11)
*********************************************************
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= 1.0684e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.4816e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 2.4039e-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= 9.9668e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.5634e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.3998e-11)
*********************************************************
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= 5.3744e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 8.9317e-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= 3.0452e-09)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 2.7129e-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= 1.3400e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 9.3824e-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= 1.5037e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 2.4662e-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= 1.2077e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 2.4346e-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 (Z): anal= 0.04644867, fd= 0.04729609, err= -0.00084743 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.20395184, fd= 0.20461547, err= -0.00066363 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.21112209, fd= 0.21200301, err= -0.00088091 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.01373354, fd= 0.01389289, err= -0.00015935 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.09623746, fd= 0.09735407, err= -0.00111661 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (X): anal= 0.01940692, fd= 0.01950906, err= -0.00010214 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 116 (Z): anal= 0.19762733, fd= 0.19866745, err= -0.00104012 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.00899407, fd= 0.00912718, err= -0.00013311 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.07047976, fd= 0.07152285, err= -0.00104309 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.02326136, fd= 0.02339763, err= -0.00013627 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= -0.04629525, fd= -0.04577721, err= -0.00051804 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= -0.07043587, fd= -0.06979788, err= -0.00063799 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= -0.08901707, fd= -0.08833878, err= -0.00067829 (at 1.29079734 0.26749937 0.16482147)
iface= 4, ipnt= 116 (Z): anal= -0.11503585, fd= -0.11436317, err= -0.00067268 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= -0.14848406, fd= -0.14790460, err= -0.00057946 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= -0.18870926, fd= -0.18785120, err= -0.00085807 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (X): anal= -0.02079064, fd= -0.02068764, err= -0.00010299 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 119 (Z): anal= -0.20291059, fd= -0.20190540, err= -0.00100519 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= -0.10611285, fd= -0.10601145, err= -0.00010139 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= -0.07840732, fd= -0.07825797, err= -0.00014934 (at 1.36294241 0.19059330 0.16252297)
...too many errors to list
d(Face)/d(thick) check complete with 2776 total errors (errmax= 4.4291e-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 (Z): anal= 0.10114170, fd= 0.10033188, err= 0.00080982 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.02050427, fd= 0.01993673, err= 0.00056754 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.02864993, fd= 0.02787880, err= 0.00077113 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.01057599, fd= 0.01042373, err= 0.00015227 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.07411104, fd= 0.07304402, err= 0.00106702 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.03642719, fd= 0.03550557, err= 0.00092163 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.01124049, fd= 0.01111329, err= 0.00012720 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.08808322, fd= 0.08708645, err= 0.00099677 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.00538351, fd= 0.00525925, err= 0.00012427 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 118 (Z): anal= 0.04221981, fd= 0.04124526, err= 0.00097454 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 2, ipnt= 107 (Z): anal= 0.01970476, fd= 0.01984184, err= -0.00013707 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 109 (Z): anal= 0.11873088, fd= 0.11888170, err= -0.00015082 (at 1.30402663 0.46676825 0.20096242)
iface= 2, ipnt= 110 (Z): anal= 0.08045000, fd= 0.08064564, err= -0.00019564 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.11810504, fd= 0.11825370, err= -0.00014866 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.06579830, fd= 0.06602011, err= -0.00022181 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.05111904, fd= 0.05134394, err= -0.00022489 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.03641074, fd= 0.03661210, err= -0.00020136 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 115 (Z): anal= 0.10731082, fd= 0.10757032, err= -0.00025950 (at 1.32756416 0.49957300 0.20253053)
iface= 2, ipnt= 116 (Z): anal= 0.08781959, fd= 0.08820663, err= -0.00038705 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.06747506, fd= 0.06791065, err= -0.00043560 (at 1.43356215 0.62631863 0.20974873)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= -0.10186346, fd= -0.10227987, err= 0.00041641 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= -0.08900496, fd= -0.08951777, err= 0.00051281 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= -0.07910386, fd= -0.07964906, err= 0.00054520 (at 1.29079734 0.26749937 0.16482147)
iface= 4, ipnt= 116 (Z): anal= -0.06523919, fd= -0.06577988, err= 0.00054069 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= -0.04742060, fd= -0.04788637, err= 0.00046577 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= -0.03922075, fd= -0.03991689, err= 0.00069614 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= -0.03294334, fd= -0.03377192, err= 0.00082859 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 121 (Z): anal= -0.03359139, fd= -0.03371034, err= 0.00011895 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= -0.04770917, fd= -0.04783533, err= 0.00012617 (at 1.38878084 0.27084312 0.16671208)
iface= 4, ipnt= 123 (X): anal= -0.00757282, fd= -0.00778375, err= 0.00021093 (at 1.15003237 0.19728079 0.16827596)
...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 3376 total errors (errmax= 4.0973e-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= 0.07148484, fd= 0.07134483, err= 0.00014001 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 109 (Z): anal= 0.00906939, fd= 0.00892405, err= 0.00014534 (at 1.30402663 0.46676825 0.20096242)
iface= 2, ipnt= 110 (Z): anal= 0.03029347, fd= 0.03009368, err= 0.00019979 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.01469087, fd= 0.01454339, err= 0.00014748 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.04021847, fd= 0.03999197, err= 0.00022650 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.05016871, fd= 0.04993906, err= 0.00022965 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.06014529, fd= 0.05993966, err= 0.00020563 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 115 (Z): anal= 0.01673695, fd= 0.01648704, err= 0.00024991 (at 1.32756416 0.49957300 0.20253053)
iface= 2, ipnt= 116 (Z): anal= 0.03550954, fd= 0.03513347, err= 0.00037608 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.04918744, fd= 0.04876418, err= 0.00042326 (at 1.43356215 0.62631863 0.20974873)
...too many errors to list
iface= 3, ipnt= 110 (Z): anal= 0.05225181, fd= 0.05237473, err= -0.00012292 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.04249909, fd= 0.04263907, err= -0.00013997 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.03272857, fd= 0.03287156, err= -0.00014299 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.02293784, fd= 0.02306651, err= -0.00012867 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.01517400, fd= 0.01527645, err= -0.00010244 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 158 (Z): anal= 0.05142568, fd= 0.05154582, err= -0.00012014 (at 1.69155476 0.96561759 0.24067556)
iface= 3, ipnt= 166 (Z): anal= 0.04396599, fd= 0.04409218, err= -0.00012619 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.01715931, fd= 0.01726337, err= -0.00010406 (at 1.79468581 1.05677969 0.25256147)
iface= 3, ipnt= 172 (Z): anal= 0.06015787, fd= 0.06026392, err= -0.00010604 (at 1.66968091 0.93308390 0.23632203)
iface= 3, ipnt= 176 (Z): anal= 0.05213025, fd= 0.05223592, err= -0.00010567 (at 1.69255691 0.92020598 0.23427379)
...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= 111 (Z): anal= -0.04062670, fd= -0.04052485, err= -0.00010186 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= -0.03275962, fd= -0.03265705, err= -0.00010257 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 166 (Z): anal= -0.04701160, fd= -0.04690587, err= -0.00010573 (at 1.70585555 0.97849550 0.22851657)
iface= 6, ipnt= 187 (Z): anal= -0.03910728, fd= -0.03899763, err= -0.00010965 (at 1.72649665 1.00747082 0.23317921)
iface= 6, ipnt= 195 (Z): anal= -0.03107225, fd= -0.03096597, err= -0.00010627 (at 1.74724168 1.03763226 0.23798524)
iface= 6, ipnt= 510 (Z): anal= -0.01008293, fd= -0.01018305, err= 0.00010012 (at 1.71939689 1.06994606 0.24262844)
iface= 6, ipnt= 512 (Z): anal= -0.01238132, fd= -0.01248399, err= 0.00010267 (at 1.72122287 1.06992925 0.24227089)
iface= 6, ipnt= 515 (Z): anal= -0.01084421, fd= -0.01094697, err= 0.00010276 (at 1.71751571 1.06705218 0.24210861)
iface= 6, ipnt= 534 (Z): anal= -0.00969728, fd= -0.00979778, err= 0.00010050 (at 1.71421115 1.06397151 0.24185628)
iface= 6, ipnt= 538 (Z): anal= -0.01158400, fd= -0.01168989, err= 0.00010589 (at 1.71286726 1.06088317 0.24114084)
...too many errors to list
d(Face)/d(thick) check complete with 903 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= 110 (Z): anal= 0.01743144, fd= 0.01732420, err= 0.00010724 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.02290735, fd= 0.02278524, err= 0.00012211 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.02840008, fd= 0.02827534, err= 0.00012474 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.03391177, fd= 0.03379953, err= 0.00011224 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 158 (Z): anal= 0.02338592, fd= 0.02327754, err= 0.00010838 (at 1.69155476 0.96561759 0.24067556)
iface= 3, ipnt= 166 (Z): anal= 0.01810619, fd= 0.01799787, err= 0.00010833 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 177 (Z): anal= 0.03115341, fd= 0.03103282, err= 0.00012059 (at 1.75981092 1.04152952 0.25101782)
iface= 3, ipnt= 189 (Z): anal= 0.02565148, fd= 0.02552637, err= 0.00012512 (at 1.73374517 1.00086241 0.24550121)
iface= 3, ipnt= 191 (Z): anal= 0.03770211, fd= 0.03759956, err= 0.00010254 (at 1.78046187 1.07999383 0.25621898)
iface= 3, ipnt= 595 (Z): anal= 0.02691146, fd= 0.02701221, err= -0.00010076 (at 1.74213299 1.09632191 0.25370404)
...too many errors to list
iface= 6, ipnt= 109 (Z): anal= -0.01798284, fd= -0.01808770, err= 0.00010486 (at 1.69711674 0.94257289 0.22400740)
iface= 6, ipnt= 110 (Z): anal= -0.02018598, fd= -0.02029752, err= 0.00011154 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= -0.02422535, fd= -0.02434461, err= 0.00011926 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= -0.02863185, fd= -0.02875193, err= 0.00012009 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= -0.03267029, fd= -0.03278300, err= 0.00011271 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 166 (Z): anal= -0.02489092, fd= -0.02501110, err= 0.00012019 (at 1.70585555 0.97849550 0.22851657)
iface= 6, ipnt= 175 (Z): anal= -0.01923115, fd= -0.01933666, err= 0.00010552 (at 1.72568095 0.96832873 0.22911709)
iface= 6, ipnt= 181 (Z): anal= -0.03487237, fd= -0.03497729, err= 0.00010492 (at 1.77697633 1.06728536 0.24357574)
iface= 6, ipnt= 183 (Z): anal= -0.02282149, fd= -0.02293173, err= 0.00011023 (at 1.74540778 0.99916795 0.23400338)
iface= 6, ipnt= 184 (Z): anal= -0.02206644, fd= -0.02217057, err= 0.00010414 (at 1.68654008 0.95680638 0.22477332)
...too many errors to list
d(Face)/d(thick) check complete with 237 total errors (errmax= 1.5653e-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= 0.01132953, fd= 0.01145096, err= -0.00012143 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 112 (Z): anal= 0.10169122, fd= 0.10278116, err= -0.00108994 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 114 (Z): anal= 0.37767399, fd= 0.37801359, err= -0.00033960 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.03009963, fd= 0.03030452, err= -0.00020489 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.21092244, fd= 0.21235822, err= -0.00143578 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.36970974, fd= 0.37024926, err= -0.00053952 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.01970197, fd= 0.01987315, err= -0.00017119 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.15438945, fd= 0.15573090, err= -0.00134145 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.04667284, fd= 0.04678805, err= -0.00011521 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 118 (Z): anal= 0.36602833, fd= 0.36693186, err= -0.00090354 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= 0.10185006, fd= 0.10118101, err= 0.00066905 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= 0.15490552, fd= 0.15408141, err= 0.00082411 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= 0.19572390, fd= 0.19484758, err= 0.00087632 (at 1.29079734 0.26749937 0.16482147)
iface= 4, ipnt= 116 (Z): anal= 0.25285845, fd= 0.25198910, err= 0.00086935 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= 0.32627626, fd= 0.32552686, err= 0.00074940 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= 0.37810474, fd= 0.37740669, err= 0.00069805 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= 0.37826118, fd= 0.37774705, err= 0.00051413 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= 0.26983430, fd= 0.26960398, err= 0.00023033 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= 0.19953908, fd= 0.19919988, err= 0.00033920 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= 0.13205156, fd= 0.13169178, err= 0.00035978 (at 1.38878084 0.27084312 0.16671208)
...too many errors to list
d(Face)/d(cambr) check complete with 1222 total errors (errmax= 1.4459e-03)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 2.2329e-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 (Z): anal= 0.22239287, fd= 0.22158824, err= 0.00080463 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.03026641, fd= 0.03015143, err= 0.00011498 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.05120302, fd= 0.05086054, err= 0.00034248 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.02326920, fd= 0.02311791, err= 0.00015129 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.16305840, fd= 0.16199825, err= 0.00106015 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.06820836, fd= 0.06771090, err= 0.00049745 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.02472381, fd= 0.02459743, err= 0.00012638 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.19374186, fd= 0.19275150, err= 0.00099037 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (Z): anal= 0.08495949, fd= 0.08422312, err= 0.00073637 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 119 (X): anal= 0.01899353, fd= 0.01883675, err= 0.00015677 (at 1.25597042 0.18390582 0.21471018)
...too many errors to list
iface= 2, ipnt= 107 (Z): anal= 0.04326432, fd= 0.04340050, err= -0.00013618 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 110 (Z): anal= 0.17671601, fd= 0.17691033, err= -0.00019433 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.23808848, fd= 0.23819882, err= -0.00011034 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.14451896, fd= 0.14473930, err= -0.00022034 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.11226630, fd= 0.11248971, err= -0.00022341 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.07995553, fd= 0.08015556, err= -0.00020003 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 116 (Z): anal= 0.15034553, fd= 0.15048336, err= -0.00013782 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.11559867, fd= 0.11575380, err= -0.00015513 (at 1.43356215 0.62631863 0.20974873)
iface= 2, ipnt= 118 (Z): anal= 0.04604475, fd= 0.04615320, err= -0.00010844 (at 1.51100090 0.73666188 0.21511265)
iface= 2, ipnt= 119 (Z): anal= 0.07330744, fd= 0.07344883, err= -0.00014139 (at 1.48065328 0.69341925 0.21301057)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= 0.22400121, fd= 0.22445075, err= -0.00044954 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= 0.19566687, fd= 0.19622048, err= -0.00055360 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= 0.17386563, fd= 0.17445419, err= -0.00058857 (at 1.29079734 0.26749937 0.16482147)
iface= 4, ipnt= 116 (Z): anal= 0.14335643, fd= 0.14394012, err= -0.00058369 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= 0.10417355, fd= 0.10467636, err= -0.00050281 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= 0.07930870, fd= 0.07976748, err= -0.00045878 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= 0.06259701, fd= 0.06290319, err= -0.00030619 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= 0.04746612, fd= 0.04763862, err= -0.00017250 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= 0.08457545, fd= 0.08482950, err= -0.00025405 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= 0.12021619, fd= 0.12048565, err= -0.00026946 (at 1.38878084 0.27084312 0.16671208)
...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= 0.15592097, 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 995 total errors (errmax= 1.1053e-03)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 7.7577e-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= 0.15704889, fd= 0.15691910, err= 0.00012979 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 110 (Z): anal= 0.06657485, fd= 0.06638965, err= 0.00018520 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.02961313, fd= 0.02950066, err= 0.00011246 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.08838074, fd= 0.08817076, err= 0.00020997 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.11023845, fd= 0.11002556, err= 0.00021289 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.13214988, fd= 0.13195925, err= 0.00019062 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 116 (Z): anal= 0.06055322, fd= 0.06039553, err= 0.00015768 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.08392409, fd= 0.08374662, err= 0.00017747 (at 1.43356215 0.62631863 0.20974873)
iface= 2, ipnt= 118 (Z): anal= 0.13066534, fd= 0.13054127, err= 0.00012407 (at 1.51100090 0.73666188 0.21511265)
iface= 2, ipnt= 119 (Z): anal= 0.11235371, fd= 0.11219195, err= 0.00016176 (at 1.48065328 0.69341925 0.21301057)
...too many errors to list
iface= 3, ipnt= 110 (Z): anal= 0.11476035, fd= 0.11487430, err= -0.00011394 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.09333439, fd= 0.09346415, err= -0.00012976 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.07187147, fd= 0.07200402, err= -0.00013255 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.05036681, fd= 0.05048609, err= -0.00011928 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.03588947, fd= 0.03599361, err= -0.00010414 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 156 (Z): anal= 0.05905142, fd= 0.05915664, err= -0.00010523 (at 1.76521227 0.99137342 0.24281688)
iface= 3, ipnt= 157 (Z): anal= 0.04413981, fd= 0.04424396, err= -0.00010415 (at 1.78952011 1.03339610 0.24885418)
iface= 3, ipnt= 166 (Z): anal= 0.10038401, fd= 0.10050668, err= -0.00012267 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.04189600, fd= 0.04200633, err= -0.00011034 (at 1.79468581 1.05677969 0.25256147)
iface= 3, ipnt= 174 (Z): anal= 0.05160263, fd= 0.05170894, err= -0.00010632 (at 1.77736619 1.01238476 0.24583553)
...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= 110 (Z): anal= 0.10538234, fd= 0.10528153, err= 0.00010081 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= 0.08950690, fd= 0.08939909, err= 0.00010781 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= 0.07218389, fd= 0.07207531, err= 0.00010858 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= 0.05630144, fd= 0.05619952, err= 0.00010192 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 133 (Z): anal= 0.06209854, fd= 0.06196371, err= 0.00013484 (at 1.76240842 0.98595114 0.23446465)
iface= 6, ipnt= 134 (Z): anal= 0.08229387, fd= 0.08218172, err= 0.00011216 (at 1.73025210 0.93037276 0.22577280)
iface= 6, ipnt= 135 (Z): anal= 0.03892880, fd= 0.03880035, err= 0.00012845 (at 1.79927055 1.04966295 0.24442848)
iface= 6, ipnt= 137 (Z): anal= 0.07219855, fd= 0.07207224, err= 0.00012632 (at 1.74633026 0.95816195 0.23011873)
iface= 6, ipnt= 138 (Z): anal= 0.05224095, fd= 0.05210400, err= 0.00013695 (at 1.77809443 1.01306255 0.23870458)
iface= 6, ipnt= 152 (Z): anal= 0.03054603, fd= 0.03043071, err= 0.00011532 (at 1.81260366 1.07270764 0.24803242)
...too many errors to list
d(Face)/d(cambr) check complete with 119 total errors (errmax= 2.4292e-04)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 8.2289e-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= 110 (Z): anal= 0.03836741, fd= 0.03826280, err= 0.00010462 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.05041506, fd= 0.05029595, err= 0.00011912 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.06249638, fd= 0.06237471, err= 0.00012167 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.07461533, fd= 0.07450587, err= 0.00010946 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.07066147, fd= 0.07055540, err= 0.00010606 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 148 (Z): anal= 0.02773449, fd= 0.02762699, err= 0.00010750 (at 1.74090442 0.94935074 0.23677958)
iface= 3, ipnt= 156 (Z): anal= 0.03616275, fd= 0.03604318, err= 0.00011957 (at 1.76521227 0.99137342 0.24281688)
iface= 3, ipnt= 157 (Z): anal= 0.04463679, fd= 0.04451844, err= 0.00011835 (at 1.78952011 1.03339610 0.24885418)
iface= 3, ipnt= 166 (Z): anal= 0.04147184, fd= 0.04135332, err= 0.00011851 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.05773277, fd= 0.05761414, err= 0.00011863 (at 1.79468581 1.05677969 0.25256147)
...too many errors to list
iface= 6, ipnt= 109 (Z): anal= 0.03952649, fd= 0.03962958, err= -0.00010309 (at 1.69711674 0.94257289 0.22400740)
iface= 6, ipnt= 110 (Z): anal= 0.04437080, fd= 0.04448046, err= -0.00010966 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= 0.05325393, fd= 0.05337118, err= -0.00011725 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= 0.06294659, fd= 0.06306465, err= -0.00011806 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= 0.07183201, fd= 0.07194283, err= -0.00011081 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 133 (Z): anal= 0.03576163, fd= 0.03588059, err= -0.00011896 (at 1.76240842 0.98595114 0.23446465)
iface= 6, ipnt= 135 (Z): anal= 0.04870493, fd= 0.04881825, err= -0.00011333 (at 1.79927055 1.04966295 0.24442848)
iface= 6, ipnt= 137 (Z): anal= 0.03011591, fd= 0.03022735, err= -0.00011144 (at 1.74633026 0.95816195 0.23011873)
iface= 6, ipnt= 138 (Z): anal= 0.04127018, fd= 0.04139101, err= -0.00012082 (at 1.77809443 1.01306255 0.23870458)
iface= 6, ipnt= 152 (Z): anal= 0.05338284, fd= 0.05348458, err= -0.00010174 (at 1.81260366 1.07270764 0.24803242)
...too many errors to list
d(Face)/d(cambr) check complete with 35 total errors (errmax= 1.2745e-04)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 3.4929e-06)
d(Node)/d(cambr) check complete with 0 total errors (errmax= 6.2252e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.614 sec
Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions
real 0m10.848s
user 0m11.214s
sys 0m0.034s
++++ set +x
data/basic/design0g -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 9 / 180 )
data/basic/design0h.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0h.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.8525e-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= 3.2152e-10)
d(Node)/d(rz) check complete with 0 total errors (errmax= 1.3257e-27)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8525e-10) with 0 suppressions
real 0m0.417s
user 0m0.296s
sys 0m0.010s
++++ set +x
data/basic/design0h -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 10 / 180 )
data/basic/design0i.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0i.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1184e-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= 1.0606e-27)
*********************************************************
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= 5.0985e-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= 4.1083e-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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 5.0985e-10) with 0 suppressions
real 0m0.156s
user 0m0.215s
sys 0m0.014s
++++ set +x
data/basic/design0i -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 11 / 180 )
data/basic/design0j.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0j.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.9350e-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= 3.9350e-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= 1.0465e-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= 7.1819e-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= 6.6099e-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= 1.7147e-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= 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)
iface= 1, ipnt= 158 (Z): anal= -0.35106767, fd= -0.35132281, err= 0.00025515 (at 0.83806556 0.13642292 0.12715306)
iface= 1, ipnt= 159 (Z): anal= -0.35445268, fd= -0.35469300, err= 0.00024031 (at 0.80230353 0.13525867 0.12987886)
iface= 1, ipnt= 302 (Z): anal= 0.22985993, fd= 0.22999924, err= -0.00013931 (at 0.92489000 0.24179629 0.24296953)
iface= 1, ipnt= 303 (Z): anal= 0.22678207, fd= 0.22690254, err= -0.00012047 (at 0.95990670 0.24267007 0.23970615)
iface= 1, ipnt= 310 (Z): anal= 0.26299653, fd= 0.26316559, err= -0.00016906 (at 0.89786857 0.21519377 0.24741979)
iface= 1, ipnt= 311 (Z): anal= 0.25952826, fd= 0.25968144, err= -0.00015318 (at 0.93349005 0.21617436 0.24388445)
...too many errors to list
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)
iface= 4, ipnt= 145 (Z): anal= -0.34055775, fd= -0.34068559, err= 0.00012784 (at 0.67649605 0.13731249 0.14382077)
iface= 4, ipnt= 171 (Z): anal= 0.35594229, fd= 0.35620080, err= -0.00025850 (at 0.72153002 0.13639769 0.26947330)
iface= 4, ipnt= 172 (Z): anal= 0.36141885, fd= 0.36166384, err= -0.00024499 (at 0.75498317 0.13524881 0.26685964)
iface= 4, ipnt= 331 (Z): anal= -0.22660165, fd= -0.22671277, err= 0.00011111 (at 0.86446233 0.24182741 0.14168008)
iface= 4, ipnt= 332 (Z): anal= -0.22404592, fd= -0.22419039, err= 0.00014447 (at 0.84166765 0.24271619 0.14377817)
iface= 4, ipnt= 340 (Z): anal= -0.25847578, fd= -0.25861257, err= 0.00013679 (at 0.83531160 0.21521879 0.14004133)
...too many errors to list
d(Face)/d(thick) check complete with 91 total errors (errmax= 3.6380e-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= 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)
iface= 1, ipnt= 195 (Z): anal= 0.24548274, fd= 0.24566640, err= -0.00018366 (at 1.05843979 0.37484709 0.22108601)
iface= 1, ipnt= 196 (Z): anal= 0.24324527, fd= 0.24337404, err= -0.00012877 (at 1.08855385 0.37512037 0.21951654)
iface= 1, ipnt= 203 (Z): anal= 0.22839251, fd= 0.22856586, err= -0.00017335 (at 1.03189236 0.34823529 0.22541411)
iface= 1, ipnt= 204 (Z): anal= 0.22636359, fd= 0.22649068, err= -0.00012710 (at 1.06313479 0.34863896 0.22347571)
...too many errors to list
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)
iface= 2, ipnt= 337 (Z): anal= 0.21188680, fd= 0.21205160, err= -0.00016479 (at 1.19962317 0.52380679 0.21580313)
iface= 2, ipnt= 343 (Z): anal= 0.22979043, fd= 0.22996929, err= -0.00017886 (at 1.17730816 0.49985472 0.21498054)
iface= 2, ipnt= 349 (Z): anal= 0.24775083, fd= 0.24793988, err= -0.00018905 (at 1.15491513 0.47579326 0.21415889)
iface= 2, ipnt= 355 (Z): anal= 0.26542075, fd= 0.26561565, err= -0.00019489 (at 1.13328388 0.45200476 0.21333972)
...too many errors to list
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)
iface= 4, ipnt= 202 (Z): anal= -0.26411242, fd= -0.26430568, err= 0.00019326 (at 1.02435625 0.40159538 0.15202155)
iface= 4, ipnt= 203 (Z): anal= -0.26014609, fd= -0.26026398, err= 0.00011789 (at 0.99513358 0.40170400 0.15323525)
iface= 4, ipnt= 210 (Z): anal= -0.24681438, fd= -0.24695305, err= 0.00013867 (at 1.01037872 0.37486806 0.14986636)
iface= 4, ipnt= 211 (Z): anal= -0.24592841, fd= -0.24611542, err= 0.00018701 (at 0.99404207 0.37514950 0.15062146)
iface= 4, ipnt= 212 (Z): anal= -0.24209931, fd= -0.24220906, err= 0.00010975 (at 0.96327324 0.37537197 0.15225767)
...too many errors to list
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)
iface= 5, ipnt= 360 (Z): anal= -0.20939478, fd= -0.20955658, err= 0.00016181 (at 1.14446934 0.52568417 0.16228257)
iface= 5, ipnt= 367 (Z): anal= -0.22720615, fd= -0.22737597, err= 0.00016982 (at 1.12523786 0.50169971 0.16005793)
iface= 5, ipnt= 368 (Z): anal= -0.22274315, fd= -0.22287560, err= 0.00013245 (at 1.10224770 0.50347676 0.16073996)
iface= 5, ipnt= 374 (Z): anal= -0.24506749, fd= -0.24523956, err= 0.00017207 (at 1.10594879 0.47760981 0.15781622)
iface= 5, ipnt= 375 (Z): anal= -0.24124708, fd= -0.24140904, err= 0.00016196 (at 1.08519532 0.47913755 0.15843324)
...too many errors to list
d(Face)/d(thick) check complete with 94 total errors (errmax= 1.9490e-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= 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= 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= 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= 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 19 total errors (errmax= 1.3211e-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= 1.9438e-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 -> 0.560 sec
Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions
real 0m3.738s
user 0m3.740s
sys 0m0.021s
++++ set +x
data/basic/design0j -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 12 / 180 )
data/basic/design0k.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0k.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 8.4952e-10)
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= 3.8827e-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= 8.2303e-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= 1.4062e-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= 1.4062e-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= 4.4022e-07)
d(Edge)/d(y5) check complete with 0 total errors (errmax= 4.4522e-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= 4.4022e-07)
d(Edge)/d(y6) check complete with 0 total errors (errmax= 4.4522e-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= 5.2280e-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= 1.4062e-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= 1.4062e-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= 1.1209e-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= 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)
iface= 1, ipnt= 130 (X): anal= -0.35763602, fd= -0.35790233, err= 0.00026632 (at -4.09375000 0.08887231 -1.80469070)
iface= 1, ipnt= 130 (Z): anal= -0.17857150, fd= -0.17870447, err= 0.00013297 (at -4.09375000 0.08887231 -1.80469070)
iface= 1, ipnt= 131 (X): anal= -0.34514875, fd= -0.34540994, err= 0.00026119 (at -4.12500000 0.08581779 -1.74267035)
iface= 1, ipnt= 131 (Z): anal= -0.17216556, fd= -0.17229584, err= 0.00013028 (at -4.12500000 0.08581779 -1.74267035)
iface= 1, ipnt= 132 (X): anal= -0.33267764, fd= -0.33293252, err= 0.00025487 (at -4.15625000 0.08276040 -1.68058989)
iface= 1, ipnt= 132 (Z): anal= -0.16579311, fd= -0.16592013, err= 0.00012702 (at -4.15625000 0.08276040 -1.68058989)
...too many errors to list
iface= 2, ipnt= 143 (Z): anal= -0.23875348, fd= -0.23885702, err= 0.00010354 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 144 (Z): anal= -0.29865863, fd= -0.29881232, err= 0.00015370 (at -3.31250000 0.09801628 -1.99034106)
iface= 2, ipnt= 145 (Z): anal= -0.35861580, fd= -0.35882548, err= 0.00020967 (at -3.37500000 0.09801628 -1.99034106)
iface= 2, ipnt= 146 (Z): anal= -0.41860767, fd= -0.41887720, err= 0.00026953 (at -3.43750000 0.09801628 -1.99034106)
iface= 2, ipnt= 147 (Z): anal= -0.47861687, fd= -0.47894821, err= 0.00033133 (at -3.50000000 0.09801628 -1.99034106)
iface= 2, ipnt= 148 (Z): anal= -0.53862607, fd= -0.53901921, err= 0.00039314 (at -3.56250000 0.09801628 -1.99034106)
iface= 2, ipnt= 149 (Z): anal= -0.59861794, fd= -0.59907093, err= 0.00045300 (at -3.62500000 0.09801628 -1.99034106)
iface= 2, ipnt= 150 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at -3.68750000 0.09801628 -1.99034106)
iface= 2, ipnt= 150 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at -3.68750000 0.09801628 -1.99034106)
iface= 2, ipnt= 151 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at -3.75000000 0.09801627 -1.99034106)
...too many errors to list
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)
iface= 3, ipnt= 130 (X): anal= -0.35763602, fd= -0.35790233, err= 0.00026632 (at -4.09375000 -0.08887231 1.80469070)
iface= 3, ipnt= 130 (Z): anal= 0.17857150, fd= 0.17870447, err= -0.00013297 (at -4.09375000 -0.08887231 1.80469070)
iface= 3, ipnt= 131 (X): anal= -0.34514875, fd= -0.34540994, err= 0.00026119 (at -4.12500000 -0.08581779 1.74267035)
iface= 3, ipnt= 131 (Z): anal= 0.17216556, fd= 0.17229584, err= -0.00013028 (at -4.12500000 -0.08581779 1.74267035)
iface= 3, ipnt= 132 (X): anal= -0.33267764, fd= -0.33293252, err= 0.00025487 (at -4.15625000 -0.08276040 1.68058989)
iface= 3, ipnt= 132 (Z): anal= 0.16579311, fd= 0.16592013, err= -0.00012702 (at -4.15625000 -0.08276040 1.68058989)
...too many errors to list
iface= 4, ipnt= 143 (Z): anal= 0.23875348, fd= 0.23885702, err= -0.00010354 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 144 (Z): anal= 0.29865863, fd= 0.29881232, err= -0.00015370 (at -3.31250000 -0.09801628 1.99034106)
iface= 4, ipnt= 145 (Z): anal= 0.35861580, fd= 0.35882548, err= -0.00020967 (at -3.37500000 -0.09801628 1.99034106)
iface= 4, ipnt= 146 (Z): anal= 0.41860767, fd= 0.41887720, err= -0.00026953 (at -3.43750000 -0.09801628 1.99034106)
iface= 4, ipnt= 147 (Z): anal= 0.47861687, fd= 0.47894821, err= -0.00033133 (at -3.50000000 -0.09801628 1.99034106)
iface= 4, ipnt= 148 (Z): anal= 0.53862607, fd= 0.53901921, err= -0.00039314 (at -3.56250000 -0.09801628 1.99034106)
iface= 4, ipnt= 149 (Z): anal= 0.59861794, fd= 0.59907093, err= -0.00045300 (at -3.62500000 -0.09801628 1.99034106)
iface= 4, ipnt= 150 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at -3.68750000 -0.09801628 1.99034106)
iface= 4, ipnt= 150 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at -3.68750000 -0.09801628 1.99034106)
iface= 4, ipnt= 151 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at -3.75000000 -0.09801627 1.99034106)
...too many errors to list
d(Face)/d(z2) check complete with 304 total errors (errmax= 6.5523e-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= 140 (Y): anal= 0.17708451, fd= 0.17721376, err= -0.00012925 (at -3.06250000 0.09801627 -1.99034106)
iface= 2, ipnt= 140 (Z): anal= -0.89771012, fd= -0.89836535, err= 0.00065523 (at -3.06250000 0.09801627 -1.99034106)
iface= 2, ipnt= 141 (Y): anal= 0.16531878, fd= 0.16544389, err= -0.00012510 (at -3.12500000 0.09801627 -1.99034106)
iface= 2, ipnt= 141 (Z): anal= -0.83806511, fd= -0.83869931, err= 0.00063420 (at -3.12500000 0.09801627 -1.99034106)
iface= 2, ipnt= 142 (Y): anal= 0.15353254, fd= 0.15365119, err= -0.00011866 (at -3.18750000 0.09801627 -1.99034106)
iface= 2, ipnt= 142 (Z): anal= -0.77831604, fd= -0.77891756, err= 0.00060151 (at -3.18750000 0.09801627 -1.99034106)
iface= 2, ipnt= 143 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 143 (Z): anal= -0.71848026, fd= -0.71903939, err= 0.00055913 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 144 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at -3.31250000 0.09801628 -1.99034106)
iface= 2, ipnt= 144 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at -3.31250000 0.09801628 -1.99034106)
...too many errors to list
iface= 4, ipnt= 140 (Y): anal= -0.17708451, fd= -0.17721376, err= 0.00012925 (at -3.06250000 -0.09801627 1.99034106)
iface= 4, ipnt= 140 (Z): anal= 0.89771012, fd= 0.89836535, err= -0.00065523 (at -3.06250000 -0.09801627 1.99034106)
iface= 4, ipnt= 141 (Y): anal= -0.16531878, fd= -0.16544389, err= 0.00012510 (at -3.12500000 -0.09801627 1.99034106)
iface= 4, ipnt= 141 (Z): anal= 0.83806511, fd= 0.83869931, err= -0.00063420 (at -3.12500000 -0.09801627 1.99034106)
iface= 4, ipnt= 142 (Y): anal= -0.15353254, fd= -0.15365119, err= 0.00011866 (at -3.18750000 -0.09801627 1.99034106)
iface= 4, ipnt= 142 (Z): anal= 0.77831604, fd= 0.77891756, err= -0.00060151 (at -3.18750000 -0.09801627 1.99034106)
iface= 4, ipnt= 143 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 143 (Z): anal= 0.71848026, fd= 0.71903939, err= -0.00055913 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 144 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at -3.31250000 -0.09801628 1.99034106)
iface= 4, ipnt= 144 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at -3.31250000 -0.09801628 1.99034106)
...too many errors to list
d(Face)/d(z3) check complete with 140 total errors (errmax= 6.5523e-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= 88 (X): anal= -0.46793772, fd= -0.46818851, err= 0.00025079 (at -1.06250000 0.09205052 -0.93662386)
iface= 1, ipnt= 88 (Z): anal= -0.46899427, fd= -0.46924562, err= 0.00025136 (at -1.06250000 0.09205052 -0.93662386)
iface= 1, ipnt= 89 (X): anal= -0.43683310, fd= -0.43707585, err= 0.00024275 (at -1.12500000 0.08594671 -0.87435454)
iface= 1, ipnt= 89 (Z): anal= -0.43719959, fd= -0.43744255, err= 0.00024295 (at -1.12500000 0.08594671 -0.87435454)
iface= 1, ipnt= 90 (X): anal= -0.40568083, fd= -0.40591107, err= 0.00023024 (at -1.18750000 0.07982598 -0.81199662)
iface= 1, ipnt= 90 (Z): anal= -0.40552283, fd= -0.40575299, err= 0.00023015 (at -1.18750000 0.07982598 -0.81199662)
iface= 1, ipnt= 91 (X): anal= -0.37448963, fd= -0.37470365, err= 0.00021402 (at -1.25000000 0.07369116 -0.74956487)
iface= 1, ipnt= 91 (Z): anal= -0.37395439, fd= -0.37416810, err= 0.00021371 (at -1.25000000 0.07369116 -0.74956487)
iface= 1, ipnt= 92 (X): anal= -0.34326766, fd= -0.34346248, err= 0.00019482 (at -1.31250000 0.06754506 -0.68707406)
iface= 1, ipnt= 92 (Z): anal= -0.34248436, fd= -0.34267873, err= 0.00019438 (at -1.31250000 0.06754506 -0.68707406)
...too many errors to list
iface= 2, ipnt= 136 (Z): anal= -0.31140877, fd= -0.31152639, err= 0.00011762 (at 0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 137 (Z): anal= -0.37386306, fd= -0.37402351, err= 0.00016045 (at 0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 138 (Z): anal= -0.43634388, fd= -0.43655014, err= 0.00020626 (at 0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 139 (Z): anal= -0.49883797, fd= -0.49909153, err= 0.00025355 (at 0.00000000 0.09813460 -0.99878982)
iface= 2, ipnt= 140 (Z): anal= -0.56133207, fd= -0.56163292, err= 0.00030085 (at -0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 141 (Z): anal= -0.62381289, fd= -0.62415955, err= 0.00034665 (at -0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 142 (Z): anal= -0.68626718, fd= -0.68665667, err= 0.00038949 (at -0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 143 (Z): anal= -0.74868164, fd= -0.74910951, err= 0.00042787 (at -0.50000000 0.09813460 -0.99878982)
iface= 2, ipnt= 144 (Z): anal= -0.81104303, fd= -0.81150333, err= 0.00046031 (at -0.62500000 0.09813460 -0.99878982)
iface= 2, ipnt= 145 (Z): anal= -0.87333805, fd= -0.87382337, err= 0.00048532 (at -0.75000000 0.09813460 -0.99878982)
...too many errors to list
iface= 4, ipnt= 88 (X): anal= -0.46793772, fd= -0.46818851, err= 0.00025079 (at -1.06250000 -0.09205052 0.93662386)
iface= 4, ipnt= 88 (Z): anal= 0.46899427, fd= 0.46924562, err= -0.00025136 (at -1.06250000 -0.09205052 0.93662386)
iface= 4, ipnt= 89 (X): anal= -0.43683310, fd= -0.43707585, err= 0.00024275 (at -1.12500000 -0.08594671 0.87435454)
iface= 4, ipnt= 89 (Z): anal= 0.43719959, fd= 0.43744255, err= -0.00024295 (at -1.12500000 -0.08594671 0.87435454)
iface= 4, ipnt= 90 (X): anal= -0.40568083, fd= -0.40591107, err= 0.00023024 (at -1.18750000 -0.07982598 0.81199662)
iface= 4, ipnt= 90 (Z): anal= 0.40552283, fd= 0.40575299, err= -0.00023015 (at -1.18750000 -0.07982598 0.81199662)
iface= 4, ipnt= 91 (X): anal= -0.37448963, fd= -0.37470365, err= 0.00021402 (at -1.25000000 -0.07369116 0.74956487)
iface= 4, ipnt= 91 (Z): anal= 0.37395439, fd= 0.37416810, err= -0.00021371 (at -1.25000000 -0.07369116 0.74956487)
iface= 4, ipnt= 92 (X): anal= -0.34326766, fd= -0.34346248, err= 0.00019482 (at -1.31250000 -0.06754506 0.68707406)
iface= 4, ipnt= 92 (Z): anal= 0.34248436, fd= 0.34267873, err= -0.00019438 (at -1.31250000 -0.06754506 0.68707406)
...too many errors to list
iface= 5, ipnt= 136 (Z): anal= 0.31140877, fd= 0.31152639, err= -0.00011762 (at 0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 137 (Z): anal= 0.37386306, fd= 0.37402351, err= -0.00016045 (at 0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 138 (Z): anal= 0.43634388, fd= 0.43655014, err= -0.00020626 (at 0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 139 (Z): anal= 0.49883797, fd= 0.49909153, err= -0.00025355 (at 0.00000000 -0.09813460 0.99878982)
iface= 5, ipnt= 140 (Z): anal= 0.56133207, fd= 0.56163292, err= -0.00030085 (at -0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 141 (Z): anal= 0.62381289, fd= 0.62415955, err= -0.00034665 (at -0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 142 (Z): anal= 0.68626718, fd= 0.68665667, err= -0.00038949 (at -0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 143 (Z): anal= 0.74868164, fd= 0.74910951, err= -0.00042787 (at -0.50000000 -0.09813460 0.99878982)
iface= 5, ipnt= 144 (Z): anal= 0.81104303, fd= 0.81150333, err= -0.00046031 (at -0.62500000 -0.09813460 0.99878982)
iface= 5, ipnt= 145 (Z): anal= 0.87333805, fd= 0.87382337, err= -0.00048532 (at -0.75000000 -0.09813460 0.99878982)
...too many errors to list
d(Face)/d(z5) check complete with 568 total errors (errmax= 6.7907e-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= 132 (Z): anal= -0.93555345, fd= -0.93605486, err= 0.00050141 (at 0.87500000 0.09813460 -0.99878982)
iface= 2, ipnt= 133 (Z): anal= -0.87333805, fd= -0.87382337, err= 0.00048532 (at 0.75000000 0.09813460 -0.99878982)
iface= 2, ipnt= 134 (Z): anal= -0.81104303, fd= -0.81150333, err= 0.00046031 (at 0.62500000 0.09813460 -0.99878982)
iface= 2, ipnt= 135 (Z): anal= -0.74868164, fd= -0.74910951, err= 0.00042787 (at 0.50000000 0.09813460 -0.99878982)
iface= 2, ipnt= 136 (Z): anal= -0.68626718, fd= -0.68665667, err= 0.00038949 (at 0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 137 (Z): anal= -0.62381289, fd= -0.62415955, err= 0.00034666 (at 0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 138 (Z): anal= -0.56133207, fd= -0.56163292, err= 0.00030085 (at 0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 139 (Z): anal= -0.49883797, fd= -0.49909153, err= 0.00025355 (at 0.00000000 0.09813460 -0.99878982)
iface= 2, ipnt= 140 (Z): anal= -0.43634388, fd= -0.43655014, err= 0.00020626 (at -0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 141 (Z): anal= -0.37386306, fd= -0.37402351, err= 0.00016045 (at -0.25000000 0.09813460 -0.99878982)
...too many errors to list
iface= 3, ipnt= 481 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 0.07343571 0.37278827)
iface= 3, ipnt= 481 (Z): anal= 0.18460918, fd= 0.18471711, err= -0.00010794 (at 1.62500000 0.07343571 0.37278827)
iface= 3, ipnt= 482 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 0.10997681 0.37056561)
iface= 3, ipnt= 526 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 0.10997681 -0.37056561)
iface= 3, ipnt= 527 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 0.07343571 -0.37278827)
iface= 3, ipnt= 527 (Z): anal= -0.18460918, fd= -0.18471711, err= 0.00010794 (at 1.62500000 0.07343571 -0.37278827)
iface= 3, ipnt= 529 (X): anal= 0.21822364, fd= 0.21832680, err= -0.00010315 (at 1.56250000 0.04290429 0.43681550)
iface= 3, ipnt= 529 (Z): anal= 0.21738566, fd= 0.21748842, err= -0.00010276 (at 1.56250000 0.04290429 0.43681550)
iface= 3, ipnt= 530 (X): anal= 0.21717548, fd= 0.21731532, err= -0.00013983 (at 1.56250000 0.08572408 0.43517675)
iface= 3, ipnt= 530 (Z): anal= 0.21541000, fd= 0.21554869, err= -0.00013870 (at 1.56250000 0.08572408 0.43517675)
...too many errors to list
iface= 5, ipnt= 132 (Z): anal= 0.93555345, fd= 0.93605486, err= -0.00050141 (at 0.87500000 -0.09813460 0.99878982)
iface= 5, ipnt= 133 (Z): anal= 0.87333805, fd= 0.87382337, err= -0.00048532 (at 0.75000000 -0.09813460 0.99878982)
iface= 5, ipnt= 134 (Z): anal= 0.81104303, fd= 0.81150333, err= -0.00046031 (at 0.62500000 -0.09813460 0.99878982)
iface= 5, ipnt= 135 (Z): anal= 0.74868164, fd= 0.74910951, err= -0.00042787 (at 0.50000000 -0.09813460 0.99878982)
iface= 5, ipnt= 136 (Z): anal= 0.68626718, fd= 0.68665667, err= -0.00038949 (at 0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 137 (Z): anal= 0.62381289, fd= 0.62415955, err= -0.00034666 (at 0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 138 (Z): anal= 0.56133207, fd= 0.56163292, err= -0.00030085 (at 0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 139 (Z): anal= 0.49883797, fd= 0.49909153, err= -0.00025355 (at 0.00000000 -0.09813460 0.99878982)
iface= 5, ipnt= 140 (Z): anal= 0.43634388, fd= 0.43655014, err= -0.00020626 (at -0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 141 (Z): anal= 0.37386306, fd= 0.37402351, err= -0.00016045 (at -0.25000000 -0.09813460 0.99878982)
...too many errors to list
iface= 6, ipnt= 481 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 -0.07343571 -0.37278827)
iface= 6, ipnt= 481 (Z): anal= -0.18460918, fd= -0.18471711, err= 0.00010794 (at 1.62500000 -0.07343571 -0.37278827)
iface= 6, ipnt= 482 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 -0.10997681 -0.37056561)
iface= 6, ipnt= 526 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 -0.10997681 0.37056561)
iface= 6, ipnt= 527 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 -0.07343571 0.37278827)
iface= 6, ipnt= 527 (Z): anal= 0.18460918, fd= 0.18471711, err= -0.00010794 (at 1.62500000 -0.07343571 0.37278827)
iface= 6, ipnt= 529 (X): anal= 0.21822364, fd= 0.21832680, err= -0.00010315 (at 1.56250000 -0.04290429 -0.43681550)
iface= 6, ipnt= 529 (Z): anal= -0.21738566, fd= -0.21748842, err= 0.00010276 (at 1.56250000 -0.04290429 -0.43681550)
iface= 6, ipnt= 530 (X): anal= 0.21717548, fd= 0.21731532, err= -0.00013983 (at 1.56250000 -0.08572408 -0.43517675)
iface= 6, ipnt= 530 (Z): anal= -0.21541000, fd= -0.21554869, err= 0.00013870 (at 1.56250000 -0.08572408 -0.43517675)
...too many errors to list
d(Face)/d(z6) check complete with 568 total errors (errmax= 6.7907e-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= 143 (Z): anal= -0.23875348, fd= -0.23885702, err= 0.00010354 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 144 (Z): anal= -0.29865863, fd= -0.29881232, err= 0.00015370 (at 3.68750000 0.09801628 -1.99034106)
iface= 1, ipnt= 145 (Z): anal= -0.35861580, fd= -0.35882548, err= 0.00020967 (at 3.62500000 0.09801628 -1.99034106)
iface= 1, ipnt= 146 (Z): anal= -0.41860767, fd= -0.41887720, err= 0.00026953 (at 3.56250000 0.09801628 -1.99034106)
iface= 1, ipnt= 147 (Z): anal= -0.47861687, fd= -0.47894821, err= 0.00033133 (at 3.50000000 0.09801628 -1.99034106)
iface= 1, ipnt= 148 (Z): anal= -0.53862607, fd= -0.53901921, err= 0.00039314 (at 3.43750000 0.09801628 -1.99034106)
iface= 1, ipnt= 149 (Z): anal= -0.59861794, fd= -0.59907093, err= 0.00045300 (at 3.37500000 0.09801628 -1.99034106)
iface= 1, ipnt= 150 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at 3.31250000 0.09801628 -1.99034106)
iface= 1, ipnt= 150 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at 3.31250000 0.09801628 -1.99034106)
iface= 1, ipnt= 151 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at 3.25000000 0.09801627 -1.99034106)
...too many errors to list
iface= 3, ipnt= 143 (Z): anal= 0.23875348, fd= 0.23885702, err= -0.00010354 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 144 (Z): anal= 0.29865863, fd= 0.29881232, err= -0.00015370 (at 3.68750000 -0.09801628 1.99034106)
iface= 3, ipnt= 145 (Z): anal= 0.35861580, fd= 0.35882548, err= -0.00020967 (at 3.62500000 -0.09801628 1.99034106)
iface= 3, ipnt= 146 (Z): anal= 0.41860767, fd= 0.41887720, err= -0.00026953 (at 3.56250000 -0.09801628 1.99034106)
iface= 3, ipnt= 147 (Z): anal= 0.47861687, fd= 0.47894821, err= -0.00033133 (at 3.50000000 -0.09801628 1.99034106)
iface= 3, ipnt= 148 (Z): anal= 0.53862607, fd= 0.53901921, err= -0.00039314 (at 3.43750000 -0.09801628 1.99034106)
iface= 3, ipnt= 149 (Z): anal= 0.59861794, fd= 0.59907093, err= -0.00045300 (at 3.37500000 -0.09801628 1.99034106)
iface= 3, ipnt= 150 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at 3.31250000 -0.09801628 1.99034106)
iface= 3, ipnt= 150 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at 3.31250000 -0.09801628 1.99034106)
iface= 3, ipnt= 151 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at 3.25000000 -0.09801627 1.99034106)
...too many errors to list
d(Face)/d(z8) check complete with 140 total errors (errmax= 6.5523e-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= 140 (Y): anal= 0.17708451, fd= 0.17721376, err= -0.00012925 (at 3.93750000 0.09801627 -1.99034106)
iface= 1, ipnt= 140 (Z): anal= -0.89771012, fd= -0.89836535, err= 0.00065523 (at 3.93750000 0.09801627 -1.99034106)
iface= 1, ipnt= 141 (Y): anal= 0.16531878, fd= 0.16544389, err= -0.00012510 (at 3.87500000 0.09801627 -1.99034106)
iface= 1, ipnt= 141 (Z): anal= -0.83806511, fd= -0.83869931, err= 0.00063420 (at 3.87500000 0.09801627 -1.99034106)
iface= 1, ipnt= 142 (Y): anal= 0.15353254, fd= 0.15365119, err= -0.00011866 (at 3.81250000 0.09801627 -1.99034106)
iface= 1, ipnt= 142 (Z): anal= -0.77831604, fd= -0.77891756, err= 0.00060151 (at 3.81250000 0.09801627 -1.99034106)
iface= 1, ipnt= 143 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 143 (Z): anal= -0.71848026, fd= -0.71903939, err= 0.00055913 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 144 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at 3.68750000 0.09801628 -1.99034106)
iface= 1, ipnt= 144 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at 3.68750000 0.09801628 -1.99034106)
...too many errors to list
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)
iface= 2, ipnt=1188 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 0.04900814 0.99517053)
iface= 2, ipnt=1240 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 0.04900814 -0.99517053)
iface= 2, ipnt=1241 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 0.05208131 1.05758155)
iface= 2, ipnt=1293 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 0.05208131 -1.05758155)
iface= 2, ipnt=1294 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 0.05515424 1.11998757)
iface= 2, ipnt=1346 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 0.05515424 -1.11998757)
...too many errors to list
iface= 3, ipnt= 140 (Y): anal= -0.17708451, fd= -0.17721376, err= 0.00012925 (at 3.93750000 -0.09801627 1.99034106)
iface= 3, ipnt= 140 (Z): anal= 0.89771012, fd= 0.89836535, err= -0.00065523 (at 3.93750000 -0.09801627 1.99034106)
iface= 3, ipnt= 141 (Y): anal= -0.16531878, fd= -0.16544389, err= 0.00012510 (at 3.87500000 -0.09801627 1.99034106)
iface= 3, ipnt= 141 (Z): anal= 0.83806511, fd= 0.83869931, err= -0.00063420 (at 3.87500000 -0.09801627 1.99034106)
iface= 3, ipnt= 142 (Y): anal= -0.15353254, fd= -0.15365119, err= 0.00011866 (at 3.81250000 -0.09801627 1.99034106)
iface= 3, ipnt= 142 (Z): anal= 0.77831604, fd= 0.77891756, err= -0.00060151 (at 3.81250000 -0.09801627 1.99034106)
iface= 3, ipnt= 143 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 143 (Z): anal= 0.71848026, fd= 0.71903939, err= -0.00055913 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 144 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at 3.68750000 -0.09801628 1.99034106)
iface= 3, ipnt= 144 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at 3.68750000 -0.09801628 1.99034106)
...too many errors to list
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)
iface= 4, ipnt=1188 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 -0.04900814 -0.99517053)
iface= 4, ipnt=1240 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 -0.04900814 0.99517053)
iface= 4, ipnt=1241 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 -0.05208131 -1.05758155)
iface= 4, ipnt=1293 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 -0.05208131 1.05758155)
iface= 4, ipnt=1294 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 -0.05515424 -1.11998757)
iface= 4, ipnt=1346 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 -0.05515424 1.11998757)
...too many errors to list
d(Face)/d(z9) check complete with 304 total errors (errmax= 6.5523e-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 -> 0.636 sec
Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m27.309s
user 0m27.281s
sys 0m0.071s
++++ set +x
data/basic/design0k -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 13 / 180 )
data/basic/design0m.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0m.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.7685e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 2.7742e-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= 2.6373e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.9787e-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= 1.3926e-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= 1.7490e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.7742e-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= 2.6373e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.9189e-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= 2.2097e-05)
d(Edge)/d(nx) check complete with 0 total errors (errmax= 4.0119e-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= 5.1441e-05)
d(Edge)/d(ny) check complete with 0 total errors (errmax= 7.5668e-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= 6.8895e-05)
d(Edge)/d(nz) check complete with 0 total errors (errmax= 7.3237e-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= 2.7279e-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= 1.9953e-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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 9.4901e-05) with 0 suppressions
real 0m0.126s
user 0m0.116s
sys 0m0.011s
++++ set +x
data/basic/design0m -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 14 / 180 )
data/basic/design0n1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 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)
iface= 1, ipnt= 405 (Y): anal= 0.99848558, fd= 0.99828675, err= 0.00019882 (at 0.39150606 0.09830160 1.14109882)
iface= 1, ipnt= 406 (Y): anal= 0.99778422, fd= 0.99764150, err= 0.00014272 (at 0.38550076 0.09846728 1.17816775)
...too many errors to list
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)
iface= 2, ipnt=1379 (Y): anal= 0.99680510, fd= 0.99666708, err= 0.00013802 (at 0.38637470 -0.01857571 1.89300989)
iface= 2, ipnt=1380 (Y): anal= 0.99742694, fd= 0.99725151, err= 0.00017544 (at 0.38962087 -0.01844549 1.86595705)
...too many errors to list
d(Face)/d(camber) check complete with 79 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= 6.4600e-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= 1.3978e-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 -> 0.027 sec
Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions
real 0m0.287s
user 0m0.354s
sys 0m0.012s
++++ set +x
data/basic/design0n1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 15 / 180 )
data/basic/design0n2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.277 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.465s
user 0m0.472s
sys 0m0.014s
++++ set +x
data/basic/design0n2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 16 / 180 )
data/basic/design0n3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.5551e-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 -> 0.157 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.421s
user 0m0.429s
sys 0m0.012s
++++ set +x
data/basic/design0n3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 17 / 180 )
data/basic/design0n4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3978e-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 -> 0.172 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.379s
user 0m0.451s
sys 0m0.012s
++++ set +x
data/basic/design0n4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 18 / 180 )
data/basic/design0o1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.4600e-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= 1.3978e-10)
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 -> 0.124 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.804s
user 0m0.916s
sys 0m0.012s
++++ set +x
data/basic/design0o1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 19 / 180 )
data/basic/design0o2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.923 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.177s
user 0m2.275s
sys 0m0.017s
++++ set +x
data/basic/design0o2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 20 / 180 )
data/basic/design0o3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.4600e-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= 1.3978e-10)
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 -> 0.116 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.720s
user 0m0.818s
sys 0m0.013s
++++ set +x
data/basic/design0o3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 21 / 180 )
data/basic/design0o4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.878 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.105s
user 0m2.181s
sys 0m0.020s
++++ set +x
data/basic/design0o4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 22 / 180 )
data/basic/design0p.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0p.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.7400e-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= 1.0039e-10)
d(Edge)/d(alpha) check complete with 0 total errors (errmax= 1.0039e-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=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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 8.3237e-05) with 0 suppressions
real 0m0.061s
user 0m0.048s
sys 0m0.013s
++++ set +x
data/basic/design0p -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 23 / 180 )
data/basic/design0q.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0q.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
d(Face)/d(camber) check complete with 0 total errors (errmax= 4.4023e-07)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 4.4021e-07)
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
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.3499e-10)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 3.5848e-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=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= 1.3757e-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= 1.1640e-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 -> 0.042 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4023e-07) with 0 suppressions
real 0m0.351s
user 0m0.339s
sys 0m0.014s
++++ set +x
data/basic/design0q -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 24 / 180 )
data/basic/design0r.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0r.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.5662e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 1.7842e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 2.8537e-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= 2.4454e-07)
d(Edge)/d(size1) check complete with 0 total errors (errmax= 2.7864e-07)
d(Node)/d(size1) check complete with 0 total errors (errmax= 4.4585e-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= 4.3497e-10)
d(Edge)/d(angl1) check complete with 0 total errors (errmax= 6.5907e-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= 1.5216e-10)
d(Edge)/d(dx1) check complete with 0 total errors (errmax= 1.7414e-10)
d(Node)/d(dx1) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
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= 5.1331e-07)
d(Edge)/d(dz1) check complete with 0 total errors (errmax= 6.9620e-07)
d(Node)/d(dz1) check complete with 0 total errors (errmax= 8.9164e-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= 1.2121e-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
d(Face)/d(angl2) check complete with 0 total errors (errmax= 4.0895e-10)
iedge= 11, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 0.60000000 0.95274829 -0.30376093)
iedge= 11, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 0.60000000 0.97890631 -0.20430964)
iedge= 11, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 0.60000000 0.99471260 -0.10269783)
iedge= 11, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 0.60000000 0.99471260 0.10269783)
iedge= 11, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 0.60000000 0.97890631 0.20430964)
iedge= 11, ipnt= 7 (X): anal= 0.00530163, fd= 0.00000000, err= 0.00530163 (at 0.60000000 0.95274829 0.30376093)
iedge= 13, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 1.40000000 0.95274829 -0.30376093)
iedge= 13, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 1.40000000 0.97890631 -0.20430964)
iedge= 13, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 1.40000000 0.99471260 -0.10269783)
iedge= 13, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 1.40000000 0.99471260 0.10269783)
iedge= 13, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 1.40000000 0.97890631 0.20430964)
iedge= 13, 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= 1.1102e-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= 5.4014e-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= 1.5216e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.7411e-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=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= 1.2540e-10)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
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= 2.1644e-10)
d(Edge)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10)
d(Node)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.055 sec
Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions
real 0m1.540s
user 0m1.906s
sys 0m0.525s
++++ set +x
data/basic/design0r -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 25 / 180 )
data/basic/design0s.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0s.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.053s
user 0m0.047s
sys 0m0.010s
++++ set +x
data/basic/design0s -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 26 / 180 )
data/basic/design0t1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 6.9889e-11) with 0 suppressions
real 0m0.056s
user 0m0.048s
sys 0m0.011s
++++ set +x
data/basic/design0t1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 27 / 180 )
data/basic/design0t2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4409e-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 -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.155s
user 0m0.158s
sys 0m0.011s
++++ set +x
data/basic/design0t2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 28 / 180 )
data/basic/design0t3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4409e-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 -> 0.033 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.225s
user 0m0.229s
sys 0m0.013s
++++ set +x
data/basic/design0t3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 29 / 180 )
data/basic/design0u.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0u.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 0.03753804, 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= -0.03753804, 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 -> 0.001 sec
Sensitivity checks complete with 36 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.111s
user 0m0.036s
sys 0m0.013s
++++ set +x
data/basic/design0u -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 30 / 180 )
data/basic/design0v.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0v.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 151 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 2.90625000)
iface= 1, ipnt= 154 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 2.90625000)
iface= 1, ipnt= 155 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 2.90625000)
iface= 1, ipnt= 156 (X): anal= 0.03774996, fd= 0.03753804, err= 0.00021193 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 156 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 158 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 2.90625000)
iface= 1, ipnt= 182 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 2.81250000)
iface= 1, ipnt= 185 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 2.81250000)
iface= 1, ipnt= 186 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 2.81250000)
iface= 1, ipnt= 187 (X): anal= 0.03774996, fd= 0.03753804, err= 0.00021193 (at 0.33094622 2.92802835 2.81250000)
...too many errors to list
iface= 2, ipnt= 128 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 2.90625000)
iface= 2, ipnt= 130 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 130 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 131 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 2.90625000)
iface= 2, ipnt= 132 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 2.90625000)
iface= 2, ipnt= 135 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 2.90625000)
iface= 2, ipnt= 159 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 2.81250000)
iface= 2, ipnt= 161 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 161 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 162 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 2.81250000)
...too many errors to list
iface= 3, ipnt= 151 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 2.90625000)
iface= 3, ipnt= 154 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 2.90625000)
iface= 3, ipnt= 155 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 2.90625000)
iface= 3, ipnt= 156 (X): anal= -0.03774996, fd= -0.03753804, err= -0.00021193 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 156 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 158 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 2.90625000)
iface= 3, ipnt= 182 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 2.81250000)
iface= 3, ipnt= 185 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 2.81250000)
iface= 3, ipnt= 186 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 2.81250000)
iface= 3, ipnt= 187 (X): anal= -0.03774996, fd= -0.03753804, err= -0.00021193 (at -0.33094622 -2.92802835 2.81250000)
...too many errors to list
iface= 4, ipnt= 128 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 2.90625000)
iface= 4, ipnt= 130 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 130 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 131 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 2.90625000)
iface= 4, ipnt= 132 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 2.90625000)
iface= 4, ipnt= 135 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 2.90625000)
iface= 4, ipnt= 159 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 2.81250000)
iface= 4, ipnt= 161 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 161 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 162 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 2.81250000)
...too many errors to list
d(Face)/d(rx) check complete with 744 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= 0.03753804, 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= 0.03753804, 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= -0.03753804, 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= -0.03753804, 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= 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)
iface= 1, ipnt= 187 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 2.81250000)
iface= 1, ipnt= 189 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 2.81250000)
iface= 1, ipnt= 218 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.71875000)
iface= 1, ipnt= 218 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 2.71875000)
iface= 1, ipnt= 220 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 2.71875000)
iface= 1, ipnt= 249 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.62500000)
...too many errors to list
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)
iface= 2, ipnt= 161 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 161 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 190 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.71875000)
iface= 2, ipnt= 192 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 2.71875000)
iface= 2, ipnt= 192 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 2.71875000)
iface= 2, ipnt= 221 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.62500000)
...too many errors to list
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)
iface= 3, ipnt= 187 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 2.81250000)
iface= 3, ipnt= 189 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 2.81250000)
iface= 3, ipnt= 218 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.71875000)
iface= 3, ipnt= 218 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 2.71875000)
iface= 3, ipnt= 220 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 2.71875000)
iface= 3, ipnt= 249 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.62500000)
...too many errors to list
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)
iface= 4, ipnt= 161 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 161 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 190 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.71875000)
iface= 4, ipnt= 192 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 2.71875000)
iface= 4, ipnt= 192 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 2.71875000)
iface= 4, ipnt= 221 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.62500000)
...too many errors to list
d(Face)/d(ry) check complete with 372 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= 7.1628e-10)
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 -> 0.011 sec
Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.154s
user 0m0.156s
sys 0m0.015s
++++ set +x
data/basic/design0v -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 31 / 180 )
data/basic/design0w.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0w.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.0622e-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= 3.7582e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 3.0213e-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= 3.4477e-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= 2.6871e-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= 2.6871e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.0998e-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= 2.5307e-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= 2.6871e-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= 2.6871e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.1095e-10)
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= 2.8731e-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= 2.6474e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.3803e-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= 1.0791e-06)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.0817e-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= 5.9697e-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= 3.8249e-07)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.0343e-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= 2.0965e-07)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.2556e-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= 4.6107e-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= 4.7475e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7692e-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= 4.7084e-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= 4.3942e-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= 76 (X): anal= 0.02280995, fd= 0.02258486, err= 0.00022509 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 76 (Z): anal= 0.17433405, fd= 0.17261369, err= 0.00172036 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 77 (X): anal= 0.01946451, fd= 0.01857673, err= 0.00088778 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Y): anal= -0.01002693, fd= -0.00956960, err= -0.00045733 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Z): anal= 0.08188208, fd= 0.07814743, err= 0.00373465 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 78 (X): anal= 0.04831630, fd= 0.04776534, err= 0.00055096 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Y): anal= -0.01941923, fd= -0.01919779, err= -0.00022144 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Z): anal= 0.22154407, fd= 0.21901777, err= 0.00252630 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 79 (X): anal= 0.04609101, fd= 0.04499712, err= 0.00109390 (at 1.17098527 0.18962439 0.20314984)
iface= 1, ipnt= 79 (Y): anal= -0.02295307, fd= -0.02240831, err= -0.00054476 (at 1.17098527 0.18962439 0.20314984)
...too many errors to list
iface= 4, ipnt= 109 (Y): anal= 0.06646830, fd= 0.06664778, err= -0.00017947 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 109 (Z): anal= 0.31436700, fd= 0.31521583, err= -0.00084883 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 110 (Y): anal= 0.06122828, fd= 0.06143897, err= -0.00021068 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 110 (Z): anal= 0.28293377, fd= 0.28390734, err= -0.00097357 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 111 (Y): anal= 0.05331736, fd= 0.05356374, err= -0.00024638 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 111 (Z): anal= 0.23767296, fd= 0.23877124, err= -0.00109827 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 112 (Y): anal= 0.04951322, fd= 0.04977147, err= -0.00025824 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 112 (Z): anal= 0.21685172, fd= 0.21798273, err= -0.00113101 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 113 (Y): anal= 0.04360305, fd= 0.04387233, err= -0.00026928 (at 0.69484475 0.24409318 0.25263865)
iface= 4, ipnt= 113 (Z): anal= 0.18571774, fd= 0.18686467, err= -0.00114692 (at 0.69484475 0.24409318 0.25263865)
...too many errors to list
iface= 7, ipnt= 108 (X): anal= -0.05806986, fd= -0.05782221, err= -0.00024765 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Y): anal= 0.07294533, fd= 0.07263423, err= 0.00031109 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Z): anal= -0.30698754, fd= -0.30567831, err= -0.00130922 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 109 (X): anal= -0.05071108, fd= -0.05042635, err= -0.00028473 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Y): anal= 0.06349568, fd= 0.06313918, err= 0.00035651 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Z): anal= -0.27855008, fd= -0.27698610, err= -0.00156397 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 110 (X): anal= -0.04046185, fd= -0.04014748, err= -0.00031437 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Y): anal= 0.05037326, fd= 0.04998189, err= 0.00039137 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Z): anal= -0.23696635, fd= -0.23512525, err= -0.00184109 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 111 (X): anal= -0.03294741, fd= -0.03263055, err= -0.00031686 (at 0.66459073 0.22737447 0.16295981)
...too many errors to list
iface= 10, ipnt= 76 (Y): anal= 0.02078666, fd= 0.02091315, err= -0.00012649 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 76 (Z): anal= -0.17222327, fd= -0.17327126, err= 0.00104798 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 77 (Z): anal= -0.08269946, fd= -0.08290906, err= 0.00020960 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 78 (Y): anal= 0.02336145, fd= 0.02347645, err= -0.00011500 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 78 (Z): anal= -0.22415780, fd= -0.22526125, err= 0.00110345 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 79 (Z): anal= -0.17810199, fd= -0.17792314, err= -0.00017885 (at 1.16413321 0.18961055 0.13016240)
iface= 10, ipnt= 80 (X): anal= 0.01699435, fd= 0.01630603, err= 0.00068832 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Y): anal= -0.00373687, fd= -0.00358551, err= -0.00015135 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Z): anal= -0.04106628, fd= -0.03940298, err= -0.00166330 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 81 (X): anal= 0.02585035, fd= 0.02544760, err= 0.00040274 (at 1.23740574 0.19980497 0.14291002)
...too many errors to list
d(Face)/d(thick) check complete with 2509 total errors (errmax= 7.3049e-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= 76 (X): anal= 0.02114152, fd= 0.02131992, err= -0.00017840 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 76 (Z): anal= 0.16158244, fd= 0.16294593, err= -0.00136349 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 77 (X): anal= 0.02672097, fd= 0.02717332, err= -0.00045234 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Y): anal= -0.01376502, fd= -0.01399804, err= 0.00023302 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Z): anal= 0.11240812, fd= 0.11431101, err= -0.00190290 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 78 (X): anal= 0.01880797, fd= 0.01927450, err= -0.00046653 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Y): anal= -0.00755928, fd= -0.00774678, err= 0.00018751 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Z): anal= 0.08623992, fd= 0.08837912, err= -0.00213919 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 79 (X): anal= 0.01956648, fd= 0.02015362, err= -0.00058715 (at 1.17098527 0.18962439 0.20314984)
iface= 1, ipnt= 79 (Y): anal= -0.00974399, fd= -0.01003639, err= 0.00029240 (at 1.17098527 0.18962439 0.20314984)
...too many errors to list
iface= 2, ipnt= 67 (Z): anal= 0.08006890, fd= 0.07956973, err= 0.00049917 (at 1.43776947 0.67171345 0.21750466)
iface= 2, ipnt= 68 (Z): anal= 0.03162945, fd= 0.03182509, err= -0.00019564 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 69 (X): anal= 0.00964996, fd= 0.00952679, err= 0.00012317 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 69 (Y): anal= -0.01196515, fd= -0.01181242, err= -0.00015273 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 69 (Z): anal= 0.08429780, fd= 0.08322181, err= 0.00107599 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 70 (X): anal= 0.01134775, fd= 0.01158103, err= -0.00023328 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Y): anal= -0.01191646, fd= -0.01216143, err= 0.00024497 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Z): anal= 0.06229631, fd= 0.06357696, err= -0.00128064 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 71 (X): anal= 0.00509101, fd= 0.00438117, err= 0.00070984 (at 1.51255296 0.65723670 0.20181965)
iface= 2, ipnt= 71 (Y): anal= -0.00379362, fd= -0.00326468, err= -0.00052895 (at 1.51255296 0.65723670 0.20181965)
...too many errors to list
iface= 4, ipnt= 109 (Y): anal= 0.01401060, fd= 0.01388251, err= 0.00012809 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 109 (Z): anal= 0.06626420, fd= 0.06565840, err= 0.00060580 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 110 (Y): anal= 0.01788871, fd= 0.01773578, err= 0.00015293 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 110 (Z): anal= 0.08266312, fd= 0.08195644, err= 0.00070667 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 111 (Y): anal= 0.02382079, fd= 0.02363956, err= 0.00018123 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 111 (Z): anal= 0.10618600, fd= 0.10537813, err= 0.00080787 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 112 (Y): anal= 0.02670625, fd= 0.02651568, err= 0.00019057 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 112 (Z): anal= 0.11696464, fd= 0.11613002, err= 0.00083462 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 113 (Y): anal= 0.03123102, fd= 0.03103192, err= 0.00019911 (at 0.69484475 0.24409318 0.25263865)
iface= 4, ipnt= 113 (Z): anal= 0.13302176, fd= 0.13217371, err= 0.00084805 (at 0.69484475 0.24409318 0.25263865)
...too many errors to list
iface= 5, ipnt= 99 (Z): anal= 0.19908473, fd= 0.19930236, err= -0.00021763 (at 1.01020881 0.49957300 0.21256632)
iface= 5, ipnt= 100 (Z): anal= 0.17794658, fd= 0.17820919, err= -0.00026261 (at 1.04323794 0.53237775 0.21337501)
iface= 5, ipnt= 101 (Z): anal= 0.15105948, fd= 0.15136071, err= -0.00030123 (at 1.08527502 0.57412925 0.21440428)
iface= 5, ipnt= 102 (Z): anal= 0.13954297, fd= 0.13985390, err= -0.00031092 (at 1.10329090 0.59202275 0.21484539)
iface= 5, ipnt= 103 (Z): anal= 0.11844153, fd= 0.11875870, err= -0.00031717 (at 1.13632002 0.62482750 0.21565411)
iface= 5, ipnt= 104 (Z): anal= 0.09735867, fd= 0.09766603, err= -0.00030736 (at 1.16934914 0.65763225 0.21646283)
iface= 5, ipnt= 105 (Z): anal= 0.07629843, fd= 0.07657838, err= -0.00027995 (at 1.20237827 0.69043700 0.21727153)
iface= 5, ipnt= 106 (Z): anal= 0.06099892, fd= 0.06124687, err= -0.00024795 (at 1.22639946 0.71429500 0.21785968)
iface= 5, ipnt= 107 (Z): anal= 0.03808222, fd= 0.03826118, err= -0.00017895 (at 1.26243125 0.75008200 0.21874188)
iface= 5, ipnt= 108 (Z): anal= 0.17144474, fd= 0.17203071, err= -0.00058597 (at 0.94353752 0.48466175 0.20853504)
...too many errors to list
iface= 7, ipnt= 108 (X): anal= -0.01201898, fd= -0.01223268, err= 0.00021370 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Y): anal= 0.01509782, fd= 0.01536627, err= -0.00026844 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Z): anal= -0.06353860, fd= -0.06466833, err= 0.00112974 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 109 (X): anal= -0.01455289, fd= -0.01479592, err= 0.00024303 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Y): anal= 0.01822177, fd= 0.01852606, err= -0.00030430 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Z): anal= -0.07993732, fd= -0.08127224, err= 0.00133492 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 110 (X): anal= -0.01776569, fd= -0.01803173, err= 0.00026604 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Y): anal= 0.02211752, fd= 0.02244873, err= -0.00033120 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Z): anal= -0.10404544, fd= -0.10560350, err= 0.00155806 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 111 (X): anal= -0.01980658, fd= -0.02007390, err= 0.00026732 (at 0.66459073 0.22737447 0.16295981)
...too many errors to list
iface= 8, ipnt= 99 (Z): anal= -0.19317152, fd= -0.19303774, err= -0.00013378 (at 1.01283391 0.50255525 0.16474104)
iface= 8, ipnt= 100 (Z): anal= -0.17276651, fd= -0.17256087, err= -0.00020564 (at 1.04600057 0.53536000 0.16725979)
iface= 8, ipnt= 101 (Z): anal= -0.14859064, fd= -0.14831963, err= -0.00027101 (at 1.08519752 0.57412925 0.17023647)
iface= 8, ipnt= 102 (Z): anal= -0.13740910, fd= -0.13711584, err= -0.00029327 (at 1.10328841 0.59202275 0.17161033)
iface= 8, ipnt= 103 (Z): anal= -0.11686913, fd= -0.11654948, err= -0.00031965 (at 1.13645505 0.62482750 0.17412906)
iface= 8, ipnt= 104 (Z): anal= -0.09627435, fd= -0.09594888, err= -0.00032547 (at 1.16962169 0.65763225 0.17664778)
iface= 8, ipnt= 105 (Z): anal= -0.07562197, fd= -0.07531378, err= -0.00030818 (at 1.20278834 0.69043700 0.17916652)
iface= 8, ipnt= 106 (Z): anal= -0.05867989, fd= -0.05840505, err= -0.00027484 (at 1.22992469 0.71727725 0.18122731)
iface= 8, ipnt= 107 (Z): anal= -0.03791634, fd= -0.03770850, err= -0.00020784 (at 1.26309136 0.75008200 0.18374606)
iface= 8, ipnt= 108 (Z): anal= -0.16653007, fd= -0.16674314, err= 0.00021307 (at 0.94316173 0.48466175 0.16795356)
...too many errors to list
iface= 10, ipnt= 76 (Y): anal= 0.01951776, fd= 0.01941384, err= 0.00010391 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 76 (Z): anal= -0.16171002, fd= -0.16084908, err= -0.00086094 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 77 (X): anal= 0.01390869, fd= 0.01373387, err= 0.00017482 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 77 (Z): anal= -0.11778491, fd= -0.11630443, err= -0.00148048 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 78 (Z): anal= -0.08958454, fd= -0.08877428, err= -0.00081026 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 79 (Z): anal= -0.07841392, fd= -0.07729947, err= -0.00111445 (at 1.16413321 0.18961055 0.13016240)
iface= 10, ipnt= 80 (X): anal= 0.01911871, fd= 0.01758241, err= 0.00153630 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Y): anal= -0.00420399, fd= -0.00386617, err= -0.00033782 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Z): anal= -0.04619971, fd= -0.04248729, err= -0.00371242 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 81 (X): anal= 0.01360520, fd= 0.01349500, err= 0.00011020 (at 1.23740574 0.19980497 0.14291002)
...too many errors to list
iface= 11, ipnt= 67 (Z): anal= -0.08042517, fd= -0.08066079, err= 0.00023562 (at 1.43807278 0.67171237 0.18180620)
iface= 11, ipnt= 68 (X): anal= 0.00755267, fd= 0.00778202, err= -0.00022935 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 68 (Z): anal= -0.03230792, fd= -0.03328900, err= 0.00098108 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 69 (Z): anal= -0.08550546, fd= -0.08529639, err= -0.00020907 (at 1.44186445 0.62691324 0.18102497)
iface= 11, ipnt= 70 (X): anal= 0.01227562, fd= 0.01270567, err= -0.00043006 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 70 (Z): anal= -0.06389439, fd= -0.06613283, err= 0.00223844 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 71 (X): anal= 0.00547372, fd= 0.00488393, err= 0.00058979 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Y): anal= -0.00291005, fd= -0.00259650, err= -0.00031355 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Z): anal= -0.00662177, fd= -0.00590828, err= -0.00071349 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 72 (X): anal= 0.00800746, fd= 0.00687103, err= 0.00113643 (at 1.49232981 0.62659564 0.19328417)
...too many errors to list
d(Face)/d(thick) check complete with 3447 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= 67 (Z): anal= 0.09500604, fd= 0.09531917, err= -0.00031313 (at 1.43776947 0.67171345 0.21750466)
iface= 2, ipnt= 68 (X): anal= 0.01042781, fd= 0.01087132, err= -0.00044352 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 68 (Y): anal= -0.01054924, fd= -0.01099792, err= 0.00044868 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 68 (Z): anal= 0.05029367, fd= 0.05243276, err= -0.00213909 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 69 (Z): anal= 0.06164950, fd= 0.06177592, err= -0.00012642 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 70 (X): anal= 0.00865082, fd= 0.00904237, err= -0.00039155 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Y): anal= -0.00908436, fd= -0.00949553, err= 0.00041117 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Z): anal= 0.04749083, fd= 0.04964033, err= -0.00214949 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 71 (X): anal= 0.00563380, fd= 0.00491198, err= 0.00072182 (at 1.51255296 0.65723670 0.20181965)
iface= 2, ipnt= 71 (Y): anal= -0.00419808, fd= -0.00366021, err= -0.00053787 (at 1.51255296 0.65723670 0.20181965)
...too many errors to list
iface= 3, ipnt= 65 (Z): anal= 0.09153333, fd= 0.09131620, err= 0.00021713 (at 1.63408749 0.93527045 0.24210067)
iface= 3, ipnt= 66 (X): anal= 0.00787748, fd= 0.00762545, err= 0.00025204 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 66 (Y): anal= -0.01174919, fd= -0.01137328, err= -0.00037591 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 66 (Z): anal= 0.04424545, fd= 0.04282984, err= 0.00141561 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 67 (Z): anal= 0.07455614, fd= 0.07432222, err= 0.00023392 (at 1.65979543 0.94861707 0.24308274)
iface= 3, ipnt= 68 (X): anal= 0.00737915, fd= 0.00764555, err= -0.00026640 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Y): anal= -0.01161780, fd= -0.01203722, err= 0.00041942 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Z): anal= 0.04563399, fd= 0.04728145, err= -0.00164746 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 69 (X): anal= 0.00417299, fd= 0.00355876, err= 0.00061423 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Y): anal= -0.00349502, fd= -0.00298058, err= -0.00051444 (at 1.70767886 0.96082654 0.23780349)
...too many errors to list
iface= 5, ipnt= 99 (Z): anal= 0.03100687, fd= 0.03087288, err= 0.00013399 (at 1.01020881 0.49957300 0.21256632)
iface= 5, ipnt= 100 (Z): anal= 0.04520166, fd= 0.04502339, err= 0.00017827 (at 1.04323794 0.53237775 0.21337501)
iface= 5, ipnt= 101 (Z): anal= 0.06324831, fd= 0.06303106, err= 0.00021725 (at 1.08527502 0.57412925 0.21440428)
iface= 5, ipnt= 102 (Z): anal= 0.07097474, fd= 0.07074722, err= 0.00022752 (at 1.10329090 0.59202275 0.21484539)
iface= 5, ipnt= 103 (Z): anal= 0.08512539, fd= 0.08488990, err= 0.00023549 (at 1.13632002 0.62482750 0.21565411)
iface= 5, ipnt= 104 (Z): anal= 0.09925418, fd= 0.09902591, err= 0.00022828 (at 1.16934914 0.65763225 0.21646283)
iface= 5, ipnt= 105 (Z): anal= 0.11335666, fd= 0.11315230, err= 0.00020437 (at 1.20237827 0.69043700 0.21727153)
iface= 5, ipnt= 106 (Z): anal= 0.12359340, fd= 0.12341790, err= 0.00017550 (at 1.22639946 0.71429500 0.21785968)
iface= 5, ipnt= 107 (Z): anal= 0.13891138, fd= 0.13879919, err= 0.00011219 (at 1.26243125 0.75008200 0.21874188)
iface= 5, ipnt= 108 (Z): anal= 0.02024809, fd= 0.02013821, err= 0.00010988 (at 0.94353752 0.48466175 0.20853504)
...too many errors to list
iface= 6, ipnt= 97 (Z): anal= 0.14271930, fd= 0.14282752, err= -0.00010822 (at 1.36894205 0.85581639 0.22623130)
iface= 6, ipnt= 98 (Z): anal= 0.12855775, fd= 0.12869394, err= -0.00013619 (at 1.39900295 0.88563894 0.23012607)
iface= 6, ipnt= 99 (Z): anal= 0.11697156, fd= 0.11712628, err= -0.00015472 (at 1.42359822 0.91003920 0.23331271)
iface= 6, ipnt= 100 (Z): anal= 0.10667335, fd= 0.10684097, err= -0.00016762 (at 1.44546067 0.93172833 0.23614528)
iface= 6, ipnt= 101 (Z): anal= 0.09637599, fd= 0.09655286, err= -0.00017688 (at 1.46732313 0.95341745 0.23897786)
iface= 6, ipnt= 102 (Z): anal= 0.08221911, fd= 0.08240217, err= -0.00018307 (at 1.49738400 0.98324000 0.24287266)
iface= 6, ipnt= 103 (X): anal= -0.01453755, fd= -0.01221979, err= -0.00231776 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 103 (Y): anal= 0.01267447, fd= 0.01065374, err= 0.00202073 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 103 (Z): anal= 0.02499702, fd= 0.02101167, err= 0.00398535 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 104 (Z): anal= 0.11178052, fd= 0.11132255, err= 0.00045797 (at 1.30881691 0.84226069 0.21930068)
...too many errors to list
iface= 8, ipnt= 99 (Z): anal= -0.03148152, fd= -0.03167801, err= 0.00019648 (at 1.01283391 0.50255525 0.16474104)
iface= 8, ipnt= 100 (Z): anal= -0.04539789, fd= -0.04566061, err= 0.00026272 (at 1.04600057 0.53536000 0.16725979)
iface= 8, ipnt= 101 (Z): anal= -0.06189961, fd= -0.06222193, err= 0.00032232 (at 1.08519752 0.57412925 0.17023647)
iface= 8, ipnt= 102 (Z): anal= -0.06953689, fd= -0.06987919, err= 0.00034230 (at 1.10328841 0.59202275 0.17161033)
iface= 8, ipnt= 103 (Z): anal= -0.08357475, fd= -0.08394003, err= 0.00036528 (at 1.13645505 0.62482750 0.17412906)
iface= 8, ipnt= 104 (Z): anal= -0.09766124, fd= -0.09803007, err= 0.00036883 (at 1.16962169 0.65763225 0.17664778)
iface= 8, ipnt= 105 (Z): anal= -0.11179834, fd= -0.11214896, err= 0.00035062 (at 1.20278834 0.69043700 0.17916652)
iface= 8, ipnt= 106 (Z): anal= -0.12340387, fd= -0.12372156, err= 0.00031768 (at 1.22992469 0.71727725 0.18122731)
iface= 8, ipnt= 107 (Z): anal= -0.13763692, fd= -0.13788970, err= 0.00025278 (at 1.26309136 0.75008200 0.18374606)
iface= 8, ipnt= 108 (Z): anal= -0.01949886, fd= -0.01972952, err= 0.00023066 (at 0.94316173 0.48466175 0.16795356)
...too many errors to list
iface= 9, ipnt= 100 (Z): anal= -0.09985492, fd= -0.09975134, err= -0.00010358 (at 1.45465940 0.93986175 0.21069587)
iface= 9, ipnt= 101 (Z): anal= -0.08746633, fd= -0.08734371, err= -0.00012262 (at 1.48200624 0.96697316 0.21535630)
iface= 9, ipnt= 102 (Z): anal= -0.07505660, fd= -0.07492139, err= -0.00013520 (at 1.50935308 0.99408456 0.22001672)
iface= 9, ipnt= 104 (X): anal= -0.01096174, fd= -0.00919395, err= -0.00176779 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 104 (Y): anal= 0.01560672, fd= 0.01308984, err= 0.00251688 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 104 (Z): anal= -0.02161843, fd= -0.01813204, err= -0.00348639 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 107 (Z): anal= -0.03767537, fd= -0.03755258, err= -0.00012280 (at 1.59139363 1.07541878 0.23399802)
iface= 9, ipnt= 108 (Z): anal= -0.05639709, fd= -0.05625745, err= -0.00013965 (at 1.55037335 1.03475167 0.22700736)
iface= 9, ipnt= 109 (Y): anal= 0.02772786, fd= 0.02759690, err= 0.00013096 (at 1.29210650 0.82599384 0.19353661)
iface= 9, ipnt= 109 (Z): anal= -0.11151159, fd= -0.11098490, err= -0.00052669 (at 1.29210650 0.82599384 0.19353661)
...too many errors to list
iface= 11, ipnt= 67 (Z): anal= -0.09605687, fd= -0.09567280, err= -0.00038406 (at 1.43807278 0.67171237 0.18180620)
iface= 11, ipnt= 68 (X): anal= 0.01223312, fd= 0.01258181, err= -0.00034869 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 68 (Z): anal= -0.05232938, fd= -0.05382095, err= 0.00149157 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 69 (Z): anal= -0.06315671, fd= -0.06244142, err= -0.00071529 (at 1.44186445 0.62691324 0.18102497)
iface= 11, ipnt= 70 (X): anal= 0.00950563, fd= 0.00976648, err= -0.00026085 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 70 (Z): anal= -0.04947667, fd= -0.05083436, err= 0.00135770 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 71 (X): anal= 0.00648432, fd= 0.00544910, err= 0.00103522 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Y): anal= -0.00344733, fd= -0.00289696, err= -0.00055036 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Z): anal= -0.00784433, fd= -0.00659199, err= -0.00125234 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 72 (X): anal= 0.00639496, fd= 0.00542222, err= 0.00097274 (at 1.49232981 0.62659564 0.19328417)
...too many errors to list
iface= 12, ipnt= 65 (Z): anal= -0.09272330, fd= -0.09283351, err= 0.00011021 (at 1.63498460 0.93527179 0.21826237)
iface= 12, ipnt= 66 (X): anal= 0.01174195, fd= 0.01144405, err= 0.00029791 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 66 (Z): anal= -0.04639641, fd= -0.04521928, err= -0.00117713 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 67 (Z): anal= -0.07592791, fd= -0.07607649, err= 0.00014858 (at 1.66058710 0.94861829 0.22268332)
iface= 12, ipnt= 68 (X): anal= 0.01146203, fd= 0.01196846, err= -0.00050643 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 68 (Z): anal= -0.04759231, fd= -0.04969511, err= 0.00210280 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 69 (X): anal= 0.00517793, fd= 0.00450632, err= 0.00067161 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Y): anal= -0.00241935, fd= -0.00210554, err= -0.00031381 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Z): anal= -0.00559459, fd= -0.00486893, err= -0.00072565 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 70 (X): anal= 0.00527513, fd= 0.00458580, err= 0.00068933 (at 1.71270908 0.96867306 0.23603870)
...too many errors to list
d(Face)/d(thick) check complete with 1691 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= -0.00376168 (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= 65 (Z): anal= 0.02887927, fd= 0.02903065, err= -0.00015138 (at 1.63408749 0.93527045 0.24210067)
iface= 3, ipnt= 67 (Z): anal= 0.02767370, fd= 0.02785815, err= -0.00018445 (at 1.65979543 0.94861707 0.24308274)
iface= 3, ipnt= 68 (X): anal= 0.00256021, fd= 0.00267697, err= -0.00011676 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Y): anal= -0.00403081, fd= -0.00421464, err= 0.00018382 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Z): anal= 0.01583278, fd= 0.01655483, err= -0.00072205 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 69 (X): anal= 0.00165858, fd= 0.00152288, err= 0.00013570 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Y): anal= -0.00138912, fd= -0.00127546, err= -0.00011365 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Z): anal= 0.00210445, fd= 0.00193227, err= 0.00017218 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 70 (X): anal= 0.00188371, fd= 0.00170409, err= 0.00017962 (at 1.71258519 0.96867269 0.23911398)
iface= 3, ipnt= 70 (Y): anal= -0.00158948, fd= -0.00143792, err= -0.00015157 (at 1.71258519 0.96867269 0.23911398)
...too many errors to list
iface= 6, ipnt= 99 (Z): anal= 0.02660404, fd= 0.02649854, err= 0.00010550 (at 1.42359822 0.91003920 0.23331271)
iface= 6, ipnt= 100 (Z): anal= 0.03235338, fd= 0.03223345, err= 0.00011993 (at 1.44546067 0.93172833 0.23614528)
iface= 6, ipnt= 101 (Z): anal= 0.03810104, fd= 0.03797025, err= 0.00013080 (at 1.46732313 0.95341745 0.23897786)
iface= 6, ipnt= 102 (Z): anal= 0.04600052, fd= 0.04586121, err= 0.00013931 (at 1.49738400 0.98324000 0.24287266)
iface= 6, ipnt= 105 (Z): anal= 0.06536233, fd= 0.06524052, err= 0.00012180 (at 1.57116978 1.05644080 0.25243262)
iface= 6, ipnt= 106 (Z): anal= 0.05317713, fd= 0.05303735, err= 0.00013978 (at 1.52471206 1.01035141 0.24641339)
iface= 6, ipnt= 118 (Z): anal= 0.01158150, fd= 0.01145734, err= 0.00012416 (at 1.33637708 0.86801652 0.22276633)
iface= 6, ipnt= 119 (Z): anal= 0.01670132, fd= 0.01651980, err= 0.00018152 (at 1.36393752 0.89377236 0.22623160)
iface= 6, ipnt= 120 (Z): anal= 0.05927254, fd= 0.05913854, err= 0.00013400 (at 1.54794092 1.03339610 0.24942301)
iface= 6, ipnt= 125 (Z): anal= 0.02235785, fd= 0.02211493, err= 0.00024292 (at 1.39439928 0.92223934 0.23006128)
...too many errors to list
iface= 9, ipnt= 98 (Z): anal= -0.02012540, fd= -0.02022572, err= 0.00010031 (at 1.40270038 0.88835008 0.20184104)
iface= 9, ipnt= 99 (Z): anal= -0.02639506, fd= -0.02651974, err= 0.00012468 (at 1.42731255 0.91275034 0.20603543)
iface= 9, ipnt= 100 (Z): anal= -0.03337679, fd= -0.03352390, err= 0.00014711 (at 1.45465940 0.93986175 0.21069587)
iface= 9, ipnt= 101 (Z): anal= -0.04037641, fd= -0.04054036, err= 0.00016395 (at 1.48200624 0.96697316 0.21535630)
iface= 9, ipnt= 102 (Z): anal= -0.04739582, fd= -0.04757018, err= 0.00017436 (at 1.50935308 0.99408456 0.22001672)
iface= 9, ipnt= 103 (Z): anal= -0.07124804, fd= -0.07140079, err= 0.00015275 (at 1.63121654 1.13325645 0.24409686)
iface= 9, ipnt= 105 (X): anal= -0.00181170, fd= -0.00162729, err= -0.00018441 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 105 (Y): anal= 0.00236326, fd= 0.00212271, err= 0.00024055 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 105 (Z): anal= -0.00213716, fd= -0.00191962, err= -0.00021754 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 107 (Z): anal= -0.06859507, fd= -0.06875120, err= 0.00015613 (at 1.59139363 1.07541878 0.23399802)
...too many errors to list
iface= 12, ipnt= 65 (Z): anal= -0.02942967, fd= -0.02925562, err= -0.00017404 (at 1.63498460 0.93527179 0.21826237)
iface= 12, ipnt= 66 (Z): anal= -0.01163004, fd= -0.01130699, err= -0.00032305 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 67 (Z): anal= -0.02839620, fd= -0.02819917, err= -0.00019703 (at 1.66058710 0.94861829 0.22268332)
iface= 12, ipnt= 68 (Z): anal= -0.01675931, fd= -0.01713293, err= 0.00037361 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 69 (X): anal= 0.00219206, fd= 0.00192364, err= 0.00026842 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Y): anal= -0.00102422, fd= -0.00089880, err= -0.00012542 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Z): anal= -0.00236845, fd= -0.00207843, err= -0.00029002 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 70 (X): anal= 0.00249336, fd= 0.00215951, err= 0.00033386 (at 1.71270908 0.96867306 0.23603870)
iface= 12, ipnt= 70 (Y): anal= -0.00115257, fd= -0.00099824, err= -0.00015433 (at 1.71270908 0.96867306 0.23603870)
iface= 12, ipnt= 70 (Z): anal= -0.00277063, fd= -0.00239965, err= -0.00037098 (at 1.71270908 0.96867306 0.23603870)
...too many errors to list
d(Face)/d(thick) check complete with 659 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= 0.00869370, 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 -> 1.112 sec
Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions
real 0m8.562s
user 0m8.564s
sys 0m0.041s
++++ set +x
data/basic/design0w -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 32 / 180 )
data/basic/design1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.037 sec
Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions
real 0m0.473s
user 0m0.568s
sys 0m0.108s
++++ set +x
data/basic/design1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 33 / 180 )
data/basic/design1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 "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= 1.2101e-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= 1.5386e-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 -> 0.061 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions
real 0m1.945s
user 0m2.114s
sys 0m0.401s
++++ set +x
data/basic/design1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 34 / 180 )
data/basic/design2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 22.367 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m21.741s
user 0m22.289s
sys 0m1.322s
++++ set +x
data/basic/design2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 35 / 180 )
data/basic/design3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 4.719 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m3.868s
user 0m4.923s
sys 0m0.534s
++++ set +x
data/basic/design3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 36 / 180 )
data/basic/design4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.6613e-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 "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= 1.6324e-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 -> 0.049 sec
Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions
real 0m1.792s
user 0m1.951s
sys 0m0.404s
++++ set +x
data/basic/design4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 37 / 180 )
data/basic/design5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design5.csm
--> ocsmCheck() -> status=0 (success)
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
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
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 120.381 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m50.287s
user 1m30.789s
sys 0m39.805s
++++ set +x
data/basic/design5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 38 / 180 )
data/basic/design6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design6.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 6.530 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m8.344s
user 0m7.644s
sys 0m0.156s
++++ set +x
data/basic/design6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 39 / 180 )
data/basic/design7.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design7.csm
--> ocsmCheck() -> status=0 (success)
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
*********************************************************
Starting configuration sensitivity wrt "headLen"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711916137 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711916123 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711922765 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711892457 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
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
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 33.252 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m28.822s
user 0m35.731s
sys 0m1.157s
++++ set +x
data/basic/design7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 40 / 180 )
data/basic/design8.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.073s
user 0m0.067s
sys 0m0.010s
++++ set +x
data/basic/design8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 41 / 180 )
data/basic/design8a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.4518e-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= 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= 1.9666e-08)
d(Edge)/d(t) check complete with 0 total errors (errmax= 1.9666e-08)
d(Node)/d(t) check complete with 0 total errors (errmax= 4.4409e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.019 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9666e-08) with 0 suppressions
real 0m0.238s
user 0m0.259s
sys 0m0.099s
++++ set +x
data/basic/design8a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 42 / 180 )
data/basic/design8b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3978e-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= 6.8628e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 5.5462e-10)
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 -> 0.022 sec
Sensitivity checks complete with 0 total errors (max config err= 9.6589e-08) with 0 suppressions
real 0m0.259s
user 0m0.280s
sys 0m0.106s
++++ set +x
data/basic/design8b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 43 / 180 )
data/basic/design8c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4312e-10)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 1.3489e-09)
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
d(Face)/d(ycent) check complete with 0 total errors (errmax= 9.9440e-09)
iedge= 1, ipnt= 22 (X): anal= 0.21330963, fd= 0.21312136, err= 0.00018827 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Y): anal= 0.13145539, fd= 0.13133636, err= 0.00011903 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Z): anal= 0.26205699, fd= 0.26181575, err= 0.00024124 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 23 (Z): anal= 0.29297212, fd= 0.29308162, err= -0.00010950 (at 0.77019044 -0.50009858 -1.41417870)
iedge= 6, ipnt= 22 (X): anal= 0.21330963, fd= 0.21312066, err= 0.00018897 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Y): anal= 0.13145538, fd= 0.13133592, err= 0.00011947 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Z): anal= -0.26205699, fd= -0.26181485, err= -0.00024214 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 23 (Z): anal= -0.29297212, fd= -0.29308203, err= 0.00010991 (at 0.77019044 -0.50009857 1.41417870)
d(Edge)/d(ycent) check complete with 8 total errors (errmax= 2.4214e-04)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 4.4409e-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= 2.7335e-08)
iedge= 6, ipnt= 9 (Z): anal= 0.89639535, fd= 0.89650647, err= -0.00011112 (at 0.77019068 0.50009941 1.41417841)
iedge= 6, ipnt= 10 (X): anal= 0.06435976, fd= 0.06454014, err= -0.00018038 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Y): anal= 0.26205708, fd= 0.26194305, err= 0.00011403 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Z): anal= 0.92093219, fd= 0.92070109, err= 0.00023110 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 22 (X): anal= 0.06435971, fd= 0.06417078, err= 0.00018893 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Y): anal= -0.26205699, fd= -0.26217643, err= 0.00011944 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Z): anal= 0.92093225, fd= 0.92117433, err= -0.00024208 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 23 (Z): anal= 0.89639567, fd= 0.89628577, err= 0.00010990 (at 0.77019044 -0.50009857 1.41417870)
d(Edge)/d(zcent) check complete with 8 total errors (errmax= 2.4208e-04)
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
d(Face)/d(L) check complete with 0 total errors (errmax= 2.6603e-08)
iedge= 1, ipnt= 22 (X): anal= 0.47380619, fd= 0.47361774, err= 0.00018845 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Y): anal= 0.10665482, fd= 0.10653569, err= 0.00011913 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Z): anal= -0.03217986, fd= -0.03242131, err= 0.00024144 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 23 (Z): anal= -0.04194581, fd= -0.04183624, err= -0.00010957 (at 0.77019044 -0.50009858 -1.41417870)
iedge= 6, ipnt= 9 (Z): anal= 0.04194594, fd= 0.04205709, err= -0.00011115 (at 0.77019068 0.50009941 1.41417841)
iedge= 6, ipnt= 10 (X): anal= 0.47380617, fd= 0.47398654, err= -0.00018037 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Y): anal= -0.10665485, fd= -0.10676888, err= 0.00011403 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Z): anal= 0.03217989, fd= 0.03194878, err= 0.00023111 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 22 (X): anal= 0.47380619, fd= 0.47361748, err= 0.00018871 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Y): anal= 0.10665482, fd= 0.10653552, err= 0.00011930 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Z): anal= 0.03217986, fd= 0.03242165, err= -0.00024178 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 23 (Z): anal= 0.04194581, fd= 0.04183607, err= 0.00010974 (at 0.77019044 -0.50009857 1.41417870)
d(Edge)/d(L) check complete with 12 total errors (errmax= 2.4178e-04)
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
d(Face)/d(H) check complete with 0 total errors (errmax= 1.1245e-07)
iedge= 1, ipnt= 9 (Z): anal= 0.00561934, fd= 0.00550735, err= 0.00011199 (at 0.77019068 0.50009941 -1.41417841)
iedge= 1, ipnt= 10 (X): anal= -0.04693327, fd= -0.04675153, err= -0.00018174 (at 0.75242747 0.43328720 -1.43605788)
iedge= 1, ipnt= 10 (Y): anal= 0.01056479, fd= 0.01044992, err= 0.00011486 (at 0.75242747 0.43328720 -1.43605788)
iedge= 1, ipnt= 10 (Z): anal= 0.00318761, fd= 0.00342037, err= -0.00023276 (at 0.75242747 0.43328720 -1.43605788)
iedge= 6, ipnt= 9 (Z): anal= -0.00561934, fd= -0.00550816, err= -0.00011118 (at 0.77019068 0.50009941 1.41417841)
iedge= 6, ipnt= 10 (X): anal= -0.04693327, fd= -0.04675283, err= -0.00018043 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Y): anal= 0.01056479, fd= 0.01045076, err= 0.00011403 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 10 (Z): anal= -0.00318761, fd= -0.00341866, err= 0.00023106 (at 0.75242747 0.43328720 1.43605788)
iedge= 6, ipnt= 22 (X): anal= -0.04693323, fd= -0.04712189, err= 0.00018866 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Y): anal= -0.01056477, fd= -0.01068400, err= 0.00011923 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Z): anal= -0.00318760, fd= -0.00294600, err= -0.00024160 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 23 (Z): anal= -0.00561931, fd= -0.00572901, err= 0.00010971 (at 0.77019044 -0.50009857 1.41417870)
d(Edge)/d(H) check complete with 12 total errors (errmax= 2.4160e-04)
d(Node)/d(H) check complete with 0 total errors (errmax= 2.3358e-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
d(Face)/d(W) check complete with 0 total errors (errmax= 4.7724e-08)
iedge= 1, ipnt= 22 (X): anal= 0.03361269, fd= 0.03342436, err= 0.00018833 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Y): anal= -0.13686268, fd= -0.13698175, err= 0.00011906 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Z): anal= -0.48096888, fd= -0.48121019, err= 0.00024131 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 23 (Z): anal= -0.47539735, fd= -0.47528779, err= -0.00010955 (at 0.77019044 -0.50009858 -1.41417870)
iedge= 6, ipnt= 22 (X): anal= 0.03361269, fd= 0.03342405, err= 0.00018864 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Y): anal= -0.13686268, fd= -0.13698194, err= 0.00011926 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 22 (Z): anal= 0.48096888, fd= 0.48121059, err= -0.00024171 (at 0.75242742 -0.43328703 1.43605793)
iedge= 6, ipnt= 23 (Z): anal= 0.47539735, fd= 0.47528761, err= 0.00010973 (at 0.77019044 -0.50009857 1.41417870)
d(Edge)/d(W) check complete with 8 total errors (errmax= 2.4171e-04)
d(Node)/d(W) check complete with 0 total errors (errmax= 1.0860e-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= 1.2743e-07)
iedge= 1, ipnt= 22 (X): anal= -0.80524825, fd= -0.80543625, err= 0.00018800 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Y): anal= -0.18126316, fd= -0.18138218, err= 0.00011902 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 22 (Z): anal= 0.05469067, fd= 0.05444922, err= 0.00024146 (at 0.75242743 -0.43328703 -1.43605793)
iedge= 1, ipnt= 23 (Z): anal= 0.06684639, fd= 0.06695633, err= -0.00010994 (at 0.77019044 -0.50009858 -1.41417870)
d(Edge)/d(t) check complete with 4 total errors (errmax= 2.4146e-04)
d(Node)/d(t) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.038 sec
Sensitivity checks complete with 52 total errors (max config err= 2.4214e-04) with 0 suppressions
real 0m0.677s
user 0m0.860s
sys 0m0.291s
++++ set +x
data/basic/design8c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 44 / 180 )
data/basic/design8d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1816e-10)
d(Edge)/d(xbeg1) check complete with 0 total errors (errmax= 5.9349e-10)
d(Node)/d(xbeg1) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
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= 2.2204e-10)
*********************************************************
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= 4.1816e-10)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 3.9886e-09)
d(Node)/d(y1) 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=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= 5.7575e-07)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 2.0717e-06)
d(Node)/d(z1) check complete with 0 total errors (errmax= 1.0777e-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= 5.7336e-07)
d(Edge)/d(r1) check complete with 0 total errors (errmax= 1.3670e-06)
d(Node)/d(r1) check complete with 0 total errors (errmax= 8.0820e-07)
*********************************************************
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= 4.1816e-10)
d(Edge)/d(th1) check complete with 0 total errors (errmax= 1.5106e-08)
d(Node)/d(th1) check complete with 0 total errors (errmax= 4.4380e-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= 5.5660e-10)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 4.8489e-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= 5.7582e-07)
d(Edge)/d(z2) check complete with 0 total errors (errmax= 1.3588e-06)
d(Node)/d(z2) check complete with 0 total errors (errmax= 1.0779e-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= 2.8025e-07)
d(Edge)/d(r2) check complete with 0 total errors (errmax= 9.3833e-07)
d(Node)/d(r2) check complete with 0 total errors (errmax= 4.3168e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.008 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions
real 0m0.747s
user 0m0.912s
sys 0m0.198s
++++ set +x
data/basic/design8d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 45 / 180 )
data/basic/design9.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design9.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.6019e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.4696e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.1861e-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= 2.8278e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.3797e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.3589e-05)
*********************************************************
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= 6.4983e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7048e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.6561e-05)
*********************************************************
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= 6.5262e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.3892e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.2346e-06)
*********************************************************
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= 1.0393e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.9462e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.3864e-06)
*********************************************************
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= 4.5868e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.1686e-07)
inode= 15, ipnt= 0 (X): anal= 0.01989171, fd= 0.02004887, err= -0.00015716 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00012822, fd= 0.00000000, err= -0.00012822 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 1.5716e-04)
*********************************************************
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= 8.5361e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.1232e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 6.1782e-05)
*********************************************************
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= 8.5361e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.9458e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.4130e-05)
*********************************************************
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= 1.1379e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.9458e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.2804e-05)
*********************************************************
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= 5.9148e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6506e-06)
inode= 15, ipnt= 0 (X): anal= -0.07359537, fd= -0.07417683, err= 0.00058146 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.02449788, fd= 0.02472561, err= -0.00022773 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00047438, fd= 0.00000000, err= 0.00047438 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 5.8146e-04)
*********************************************************
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= 8.0965e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.1401e-06)
inode= 15, ipnt= 0 (X): anal= -0.02867390, fd= -0.02890039, err= 0.00022649 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00018483, fd= 0.00000000, err= 0.00018483 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.2649e-04)
*********************************************************
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= 8.0958e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.6736e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.3182e-05)
*********************************************************
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= 1.5567e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.3794e-07)
inode= 15, ipnt= 0 (X): anal= -0.01429367, fd= -0.01440661, err= 0.00011294 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.1294e-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= 7.2445e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0089e-05)
inode= 7, ipnt= 0 (X): anal= 0.28343624, fd= 0.28361537, err= -0.00017913 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00016799, fd= 0.00000000, err= -0.00016799 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.28139238, fd= 0.28361537, err= -0.00222299 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.09366779, fd= -0.09453846, err= 0.00087067 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00181381, fd= 0.00000000, err= -0.00181381 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 2.2230e-03)
*********************************************************
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= 7.2650e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.3475e-06)
inode= 15, ipnt= 0 (X): anal= 0.10981406, fd= 0.11068139, err= -0.00086733 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.03655408, fd= -0.03689380, err= 0.00033971 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00070784, fd= 0.00000000, err= -0.00070784 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 8.6733e-04)
*********************************************************
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= 7.2640e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.2457e-06)
inode= 15, ipnt= 0 (X): anal= 0.04166881, fd= 0.04199824, err= -0.00032943 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01387040, fd= -0.01399941, err= 0.00012901 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00026859, fd= 0.00000000, err= -0.00026859 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 3.2943e-04)
*********************************************************
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= 1.0895e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0391e-06)
inode= 15, ipnt= 0 (X): anal= 0.02896295, fd= 0.02919177, err= -0.00022882 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00018669, fd= 0.00000000, err= -0.00018669 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.2882e-04)
*********************************************************
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= 1.2671e-06)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4642e-05)
inode= 7, ipnt= 0 (X): anal= -1.22831092, fd= -1.22909228, err= 0.00078136 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.40934265, fd= -0.40969743, err= 0.00035478 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00072802, fd= 0.00000000, err= 0.00072802 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.21945357, fd= -1.22909228, err= 0.00963871 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.40592257, fd= 0.40969743, err= -0.00377485 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00786041, fd= 0.00000000, err= 0.00786041 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 9.6387e-03)
*********************************************************
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= 7.3889e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.8623e-05)
inode= 7, ipnt= 0 (X): anal= -0.48110409, fd= -0.48140862, err= 0.00030453 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.16033109, fd= -0.16046954, err= 0.00013846 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00028515, fd= 0.00000000, err= 0.00028515 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.47763485, fd= -0.48140862, err= 0.00377377 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.15899151, fd= 0.16046954, err= -0.00147803 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00307876, fd= 0.00000000, err= 0.00307876 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 3.7738e-03)
*********************************************************
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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.3868e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.6236e-06)
inode= 7, ipnt= 0 (X): anal= -0.18515481, fd= -0.18527297, err= 0.00011817 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00010974, fd= 0.00000000, err= 0.00010974 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.18381965, fd= -0.18527297, err= 0.00145332 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.06118851, fd= 0.06175766, err= -0.00056915 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00118487, fd= 0.00000000, err= 0.00118487 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.4533e-03)
*********************************************************
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= 6.6152e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.5914e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.0424e-06)
*********************************************************
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= 2.3176e-06)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.8834e-05)
inode= 7, ipnt= 0 (X): anal= -1.92708919, fd= -1.92830212, err= 0.00121293 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.64221507, fd= -0.64276737, err= 0.00055230 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00114219, fd= 0.00000000, err= 0.00114219 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.91319295, fd= -1.92830212, err= 0.01510917 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.63684934, fd= 0.64276737, err= -0.00591803 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.01233215, fd= 0.00000000, err= 0.01233215 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 1.5109e-02)
*********************************************************
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= 3.6135e-05)
inode= 7, ipnt= 0 (X): anal= -0.75577143, fd= -0.75624828, err= 0.00047685 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.25186577, fd= -0.25208276, err= 0.00021699 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00044795, fd= 0.00000000, err= 0.00044795 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.75032156, fd= -0.75624828, err= 0.00592672 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.24976142, fd= 0.25208276, err= -0.00232134 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00483646, fd= 0.00000000, err= 0.00483646 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 5.9267e-03)
*********************************************************
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= 7.2862e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7412e-05)
inode= 7, ipnt= 0 (X): anal= -0.28872885, fd= -0.28891281, err= 0.00018396 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00017113, fd= 0.00000000, err= 0.00017113 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.28664683, fd= -0.28891281, err= 0.00226598 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.09541685, fd= 0.09630427, err= -0.00088742 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00184768, fd= 0.00000000, err= 0.00184768 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 2.2660e-03)
*********************************************************
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= 6.9339e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0097e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 9.3238e-05)
*********************************************************
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= 4.6453e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.3076e-05)
inode= 7, ipnt= 0 (X): anal= 0.36096800, fd= 0.36119637, err= -0.00022838 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.12029494, fd= 0.12039879, err= -0.00010385 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00021395, fd= 0.00000000, err= -0.00021395 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.35836505, fd= 0.36119637, err= -0.00283132 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.11928988, fd= -0.12039879, err= 0.00110892 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00230997, fd= 0.00000000, err= -0.00230997 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 2.8313e-03)
*********************************************************
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= 8.4615e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4395e-06)
inode= 15, ipnt= 0 (X): anal= 0.14075176, fd= 0.14186346, err= -0.00111170 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.04685239, fd= -0.04728782, err= 0.00043543 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00090726, fd= 0.00000000, err= -0.00090726 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 1.1117e-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= 8.4777e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.5805e-06)
inode= 15, ipnt= 0 (X): anal= 0.05429438, fd= 0.05472362, err= -0.00042925 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01807311, fd= -0.01824121, err= 0.00016810 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00034997, fd= 0.00000000, err= -0.00034997 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 4.2925e-04)
*********************************************************
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= 3.7226e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7119e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9088e-05)
*********************************************************
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= 4.5538e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.1709e-06)
inode= 15, ipnt= 0 (X): anal= -0.09591609, fd= -0.09667388, err= 0.00075778 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.03192783, fd= 0.03222463, err= -0.00029680 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00061826, fd= 0.00000000, err= 0.00061826 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 7.5778e-04)
*********************************************************
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= 8.4051e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.1834e-06)
inode= 15, ipnt= 0 (X): anal= -0.03791412, fd= -0.03821359, err= 0.00029947 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.01262057, fd= 0.01273786, err= -0.00011729 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00024439, fd= 0.00000000, err= 0.00024439 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 2.9947e-04)
*********************************************************
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= 8.4092e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.8553e-05)
inode= 15, ipnt= 0 (X): anal= -0.01483035, fd= -0.01494759, err= 0.00011724 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.1724e-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= 5.2531e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.2658e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.7041e-05)
*********************************************************
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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.2141e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0593e-05)
inode= 15, ipnt= 0 (X): anal= 0.02574764, fd= 0.02595106, err= -0.00020342 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00016597, fd= 0.00000000, err= -0.00016597 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.0342e-04)
*********************************************************
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= 8.3853e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0302e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.0200e-05)
*********************************************************
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= 8.3934e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.3832e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.1118e-05)
*********************************************************
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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.6790e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.8098e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.5471e-06)
*********************************************************
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= 6.1524e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4445e-06)
inode= 10, ipnt= 0 (Z): anal= -0.00140899, fd= -0.00160226, err= 0.00019327 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.9327e-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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.8932e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.7895e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.8179e-05)
*********************************************************
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= 7.8915e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.6648e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.1321e-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= 1.5458e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0131e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.7350e-07)
*********************************************************
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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.9759e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.2019e-05)
inode= 10, ipnt= 0 (Y): anal= 0.11416580, fd= 0.11437869, err= -0.00021290 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.00527127, fd= 0.00599433, err= -0.00072306 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00624489, fd= 0.00599433, err= 0.00025056 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 7.2306e-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= 1, ipnt= 442 (Z): anal= 0.00197537, fd= 0.00167699, err= 0.00029838 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 445 (Z): anal= 0.00505629, fd= 0.00478797, err= 0.00026833 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 434 (Z): anal= 0.00744421, fd= 0.00723486, err= 0.00020935 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 438 (Z): anal= 0.00113822, fd= 0.00088041, err= 0.00025781 (at 11.25319785 -0.01912036 0.59881127)
d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9838e-04)
iedge= 5, ipnt= 3 (Z): anal= 0.00019694, fd= 0.00008887, err= 0.00010807 (at 11.30340357 0.00620438 0.59931181)
iedge= 5, ipnt= 4 (Z): anal= 0.00035410, fd= 0.00020235, err= 0.00015176 (at 11.30900150 0.00938855 0.59922686)
iedge= 5, ipnt= 5 (Z): anal= 0.00062743, fd= 0.00042872, err= 0.00019870 (at 11.32078863 0.01375901 0.59905447)
iedge= 5, ipnt= 6 (Z): anal= 0.00142346, fd= 0.00117344, err= 0.00025001 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.00230516, fd= 0.00207252, err= 0.00023264 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.00265946, fd= 0.00247173, err= 0.00018773 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.00259593, fd= 0.00245486, err= 0.00014107 (at 11.61743995 0.04457716 0.59621498)
iedge= 14, ipnt= 25 (Z): anal= 0.00238149, fd= 0.00226847, err= 0.00011301 (at 11.67209398 -0.04686828 0.59592650)
iedge= 14, ipnt= 26 (Z): anal= 0.00266910, fd= 0.00250766, err= 0.00016144 (at 11.57994604 -0.04270852 0.59644854)
iedge= 14, ipnt= 27 (Z): anal= 0.00252690, fd= 0.00231389, err= 0.00021301 (at 11.48801832 -0.03677592 0.59715761)
iedge= 14, ipnt= 28 (Z): anal= 0.00181594, fd= 0.00156521, err= 0.00025073 (at 11.39662208 -0.02779405 0.59808174)
iedge= 14, ipnt= 29 (Z): anal= 0.00061417, fd= 0.00041720, err= 0.00019697 (at 11.32018692 -0.01356766 0.59906334)
iedge= 14, ipnt= 30 (Z): anal= 0.00024709, fd= 0.00012298, err= 0.00012411 (at 11.30495379 -0.00730233 0.59928647)
d(Edge)/d(fuse) check complete with 13 total errors (errmax= 2.5073e-04)
inode= 10, ipnt= 0 (Z): anal= 0.00103981, fd= 0.00118245, err= -0.00014263 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.4263e-04)
*********************************************************
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= 1, ipnt= 442 (Z): anal= 0.88794475, fd= 0.88824250, err= -0.00029775 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 445 (Z): anal= 0.85073428, fd= 0.85100199, err= -0.00026771 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 434 (Z): anal= 0.84436018, fd= 0.84456905, err= -0.00020887 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 438 (Z): anal= 0.87344209, fd= 0.87369927, err= -0.00025718 (at 11.25319785 -0.01912036 0.59881127)
d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9775e-04)
iedge= 5, ipnt= 3 (Z): anal= 0.83832862, fd= 0.83843636, err= -0.00010774 (at 11.30340357 0.00620438 0.59931181)
iedge= 5, ipnt= 4 (Z): anal= 0.83375791, fd= 0.83390826, err= -0.00015035 (at 11.30900150 0.00938855 0.59922686)
iedge= 5, ipnt= 5 (Z): anal= 0.82259973, fd= 0.82279660, err= -0.00019687 (at 11.32078863 0.01375901 0.59905447)
iedge= 5, ipnt= 6 (Z): anal= 0.77122003, fd= 0.77146938, err= -0.00024935 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.66883594, fd= 0.66906754, err= -0.00023160 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.55828707, fd= 0.55847293, err= -0.00018586 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.44419593, fd= 0.44432644, err= -0.00013051 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 25 (Z): anal= -0.00644605, fd= -0.00634135, err= -0.00010471 (at 12.96822054 0.03907570 0.59744662)
iedge= 14, ipnt= 25 (Z): anal= 0.37035216, fd= 0.37046414, err= -0.00011199 (at 11.67209398 -0.04686828 0.59592650)
iedge= 14, ipnt= 26 (Z): anal= 0.49516528, fd= 0.49532592, err= -0.00016063 (at 11.57994604 -0.04270852 0.59644854)
iedge= 14, ipnt= 27 (Z): anal= 0.61864105, fd= 0.61885331, err= -0.00021226 (at 11.48801832 -0.03677592 0.59715761)
iedge= 14, ipnt= 28 (Z): anal= 0.73495982, fd= 0.73520856, err= -0.00024874 (at 11.39662208 -0.02779405 0.59808174)
iedge= 14, ipnt= 29 (Z): anal= 0.82323024, fd= 0.82342703, err= -0.00019679 (at 11.32018692 -0.01356766 0.59906334)
iedge= 14, ipnt= 30 (Z): anal= 0.83752824, fd= 0.83765055, err= -0.00012231 (at 11.30495379 -0.00730233 0.59928647)
d(Edge)/d(fuse) check complete with 14 total errors (errmax= 2.4935e-04)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9651e-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= 5.5424e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.3472e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.0117e-05)
*********************************************************
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= 5.8217e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.9932e-05)
inode= 10, ipnt= 0 (X): anal= -0.40244848, fd= -0.40316853, err= 0.00072005 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.86298818, fd= -0.86459769, err= 0.00160951 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.03984598, fd= -0.04531164, err= 0.00546567 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= -0.40345847, fd= -0.40316852, err= -0.00028995 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.86515530, fd= 0.86459769, err= 0.00055761 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.04720561, fd= -0.04531164, err= -0.00189397 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 5.4657e-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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.5858e-05)
iedge= 5, ipnt= 6 (Z): anal= 0.00079334, fd= 0.00065400, err= 0.00013934 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.00186565, fd= 0.00167737, err= 0.00018828 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.00309671, fd= 0.00287812, err= 0.00021860 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.00439036, fd= 0.00415203, err= 0.00023833 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 10 (Z): anal= 0.00564075, fd= 0.00538958, err= 0.00025117 (at 11.70171048 0.04792432 0.59579428)
iedge= 5, ipnt= 11 (Z): anal= 0.00674378, fd= 0.00648517, err= 0.00025861 (at 11.78606156 0.05033317 0.59550151)
iedge= 5, ipnt= 12 (Z): anal= 0.00760461, fd= 0.00734272, err= 0.00026189 (at 11.87046324 0.05199777 0.59531781)
iedge= 5, ipnt= 13 (Z): anal= 0.00814354, fd= 0.00788227, err= 0.00026128 (at 11.95489492 0.05304952 0.59522462)
iedge= 5, ipnt= 14 (Z): anal= 0.00830175, fd= 0.00804519, err= 0.00025656 (at 12.03934376 0.05358384 0.59520364)
iedge= 5, ipnt= 15 (Z): anal= 0.00807852, fd= 0.00783062, err= 0.00024790 (at 12.12380394 0.05367370 0.59524176)
...too many errors to list
iedge= 11, ipnt= 11 (Y): anal= -0.01079006, fd= -0.01063460, err= -0.00015546 (at 12.82443884 0.29780556 0.26544216)
iedge= 11, ipnt= 12 (Y): anal= -0.00346566, fd= -0.00300561, err= -0.00046006 (at 12.93762920 0.29771590 0.26355019)
iedge= 11, ipnt= 13 (Y): anal= 0.00244520, fd= 0.00133211, err= 0.00111309 (at 13.05075993 0.29743193 0.26053120)
iedge= 11, ipnt= 14 (Y): anal= 0.00667046, fd= 0.00653051, err= 0.00013995 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 14 (Z): anal= 0.00032212, fd= -0.00016319, err= 0.00048532 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 15 (Z): anal= 0.00045007, fd= 0.00063965, err= -0.00018959 (at 13.27683055 0.29624510 0.25195070)
iedge= 11, ipnt= 16 (Y): anal= 0.00998220, fd= 0.00987468, err= 0.00010752 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 16 (Z): anal= 0.00049094, fd= 0.00024866, err= 0.00024228 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 17 (Y): anal= 0.00906072, fd= 0.00931514, err= -0.00025442 (at 13.50266307 0.29419516 0.24082919)
iedge= 11, ipnt= 17 (Z): anal= 0.00044578, fd= 0.00104043, err= -0.00059465 (at 13.50266307 0.29419516 0.24082919)
iedge= 14, ipnt= 14 (Z): anal= 0.00211097, fd= 0.00200917, err= 0.00010180 (at 12.68823883 -0.04624995 0.59650222)
iedge= 14, ipnt= 15 (Z): anal= 0.00312379, fd= 0.00298946, err= 0.00013432 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.00423913, fd= 0.00407490, err= 0.00016423 (at 12.50347458 -0.04991257 0.59595297)
iedge= 14, ipnt= 17 (Z): anal= 0.00538339, fd= 0.00519275, err= 0.00019064 (at 12.41107886 -0.05135074 0.59571669)
iedge= 14, ipnt= 18 (Z): anal= 0.00646585, fd= 0.00625268, err= 0.00021316 (at 12.31867606 -0.05248292 0.59551531)
iedge= 14, ipnt= 19 (Z): anal= 0.00738362, fd= 0.00715238, err= 0.00023124 (at 12.22626857 -0.05326822 0.59535687)
iedge= 14, ipnt= 20 (Z): anal= 0.00802916, fd= 0.00778299, err= 0.00024617 (at 12.13385977 -0.05365764 0.59524995)
iedge= 14, ipnt= 21 (Z): anal= 0.00830063, fd= 0.00804449, err= 0.00025615 (at 12.04145475 -0.05359125 0.59520395)
iedge= 14, ipnt= 22 (Z): anal= 0.00811804, fd= 0.00785688, err= 0.00026116 (at 11.94906079 -0.05299445 0.59522857)
iedge= 14, ipnt= 23 (Z): anal= 0.00748424, fd= 0.00722265, err= 0.00026159 (at 11.85668944 -0.05177096 0.59534112)
...too many errors to list
d(Edge)/d(fuse) check complete with 41 total errors (errmax= 1.1131e-03)
inode= 10, ipnt= 0 (X): anal= -0.07938707, fd= -0.07952969, err= 0.00014262 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.17023322, fd= -0.17055197, err= 0.00031875 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00786003, fd= -0.00893825, err= 0.00107822 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.17066071, fd= 0.17055197, err= 0.00010874 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00931179, fd= -0.00893825, err= -0.00037354 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.0782e-03)
*********************************************************
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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.6256e-05)
iedge= 5, ipnt= 6 (Z): anal= 0.42982868, fd= 0.42996861, err= -0.00013993 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.54131313, fd= 0.54150180, err= -0.00018868 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.65007835, fd= 0.65029634, err= -0.00021799 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.75124462, fd= 0.75149682, err= -0.00025221 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 10 (Z): anal= 0.84037093, fd= 0.84062194, err= -0.00025101 (at 11.70171048 0.04792432 0.59579428)
iedge= 5, ipnt= 11 (Z): anal= 0.91313566, fd= 0.91339636, err= -0.00026070 (at 11.78606156 0.05033317 0.59550151)
iedge= 5, ipnt= 12 (Z): anal= 0.96524306, fd= 0.96550180, err= -0.00025874 (at 11.87046324 0.05199777 0.59531781)
iedge= 5, ipnt= 13 (Z): anal= 0.99240598, fd= 0.99266004, err= -0.00025406 (at 11.95489492 0.05304952 0.59522462)
iedge= 5, ipnt= 14 (Z): anal= 0.99048374, fd= 0.99071667, err= -0.00023292 (at 12.03934376 0.05358384 0.59520364)
iedge= 5, ipnt= 15 (Z): anal= 0.95938836, fd= 0.95957056, err= -0.00018220 (at 12.12380394 0.05367370 0.59524176)
...too many errors to list
iedge= 14, ipnt= 7 (Z): anal= -0.09679568, fd= -0.09656333, err= -0.00023235 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 13 (Z): anal= 0.21650003, fd= 0.21660458, err= -0.00010455 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 14 (Z): anal= 0.33263633, fd= 0.33287043, err= -0.00023410 (at 12.68823883 -0.04624995 0.59650222)
iedge= 14, ipnt= 15 (Z): anal= 0.45497090, fd= 0.45513472, err= -0.00016381 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.57761893, fd= 0.57778620, err= -0.00016727 (at 12.50347458 -0.04991257 0.59595297)
iedge= 14, ipnt= 17 (Z): anal= 0.69470865, fd= 0.69489973, err= -0.00019108 (at 12.41107886 -0.05135074 0.59571669)
iedge= 14, ipnt= 18 (Z): anal= 0.80037432, fd= 0.80059381, err= -0.00021949 (at 12.31867606 -0.05248292 0.59551531)
iedge= 14, ipnt= 19 (Z): anal= 0.88874708, fd= 0.88902044, err= -0.00027337 (at 12.22626857 -0.05326822 0.59535687)
iedge= 14, ipnt= 20 (Z): anal= 0.95394254, fd= 0.95417705, err= -0.00023452 (at 12.13385977 -0.05365764 0.59524995)
iedge= 14, ipnt= 21 (Z): anal= 0.99004568, fd= 0.99030941, err= -0.00026373 (at 12.04145475 -0.05359125 0.59520395)
...too many errors to list
d(Edge)/d(fuse) check complete with 34 total errors (errmax= 2.9433e-04)
inode= 10, ipnt= 0 (Y): anal= -0.09506884, fd= -0.09524576, err= 0.00017692 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00438953, fd= -0.00499162, err= 0.00060209 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00520028, fd= -0.00499162, err= -0.00020866 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 6.0209e-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= 3.3087e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4662e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.9545e-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= 6.3895e-07)
iedge= 11, ipnt= 13 (Y): anal= -0.97350276, fd= -0.97361017, err= 0.00010741 (at 13.05075993 0.29743193 0.26053120)
iedge= 21, ipnt= 8 (Y): anal= 0.96999220, fd= 0.97011118, err= -0.00011899 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 2 total errors (errmax= 1.1899e-04)
inode= 10, ipnt= 0 (X): anal= -0.12490215, fd= -0.12512550, err= 0.00022335 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.26783324, fd= -0.26833249, err= 0.00049925 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.01236642, fd= -0.01406271, err= 0.00169629 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.26850582, fd= 0.26833249, err= 0.00017332 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.01465053, fd= -0.01406271, err= -0.00058782 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.6963e-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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.6737e-05)
iedge= 5, ipnt= 18 (Z): anal= 0.00375985, fd= 0.00363046, err= 0.00012939 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.00449756, fd= 0.00433070, err= 0.00016686 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.00506469, fd= 0.00485924, err= 0.00020545 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.00542500, fd= 0.00518134, err= 0.00024366 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.00555866, fd= 0.00527999, err= 0.00027867 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.00546214, fd= 0.00515399, err= 0.00030815 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.00514720, fd= 0.00481802, err= 0.00032919 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 0.00463925, fd= 0.00430209, err= 0.00033716 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= 0.00397748, fd= 0.00364347, err= 0.00033401 (at 13.05261778 0.03659278 0.59774416)
iedge= 5, ipnt= 27 (Z): anal= 0.00323444, fd= 0.00292079, err= 0.00031365 (at 13.13700567 0.03397837 0.59804182)
...too many errors to list
iedge= 14, ipnt= 5 (Z): anal= 0.00055670, fd= 0.00044237, err= 0.00011433 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 0.00099888, fd= 0.00082982, err= 0.00016906 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 0.00159087, fd= 0.00136570, err= 0.00022516 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.00231264, fd= 0.00204102, err= 0.00027162 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.00311845, fd= 0.00280861, err= 0.00030984 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.00393465, fd= 0.00360198, err= 0.00033267 (at 13.05764152 -0.03644075 0.59776190)
iedge= 14, ipnt= 11 (Z): anal= 0.00465963, fd= 0.00432029, err= 0.00033934 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.00519916, fd= 0.00487187, err= 0.00032729 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.00550318, fd= 0.00520058, err= 0.00030260 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 14 (Z): anal= 0.00554139, fd= 0.00527290, err= 0.00026849 (at 12.68823883 -0.04624995 0.59650222)
...too many errors to list
d(Edge)/d(fuse) check complete with 28 total errors (errmax= 3.3934e-04)
inode= 10, ipnt= 0 (Z): anal= -0.00243940, fd= -0.00277403, err= 0.00033462 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00288997, fd= -0.00277403, err= -0.00011594 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 3.3462e-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
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.6742e-05)
iedge= 5, ipnt= 18 (Z): anal= 0.47712082, fd= 0.47725026, err= -0.00012944 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.59701122, fd= 0.59717827, err= -0.00016704 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.71058389, fd= 0.71078955, err= -0.00020566 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.81268030, fd= 0.81292398, err= -0.00024368 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.89812900, fd= 0.89840971, err= -0.00028071 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.96174378, fd= 0.96207464, err= -0.00033086 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.99832345, fd= 0.99879770, err= -0.00047424 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 1.00265265, fd= 1.00345500, err= -0.00080235 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= 0.97002278, fd= 0.97032901, err= -0.00030624 (at 13.05261778 0.03659278 0.59774416)
iedge= 5, ipnt= 27 (Z): anal= 0.90281404, fd= 0.90314116, err= -0.00032712 (at 13.13700567 0.03397837 0.59804182)
...too many errors to list
iedge= 14, ipnt= 5 (Z): anal= 0.37230278, fd= 0.37240790, err= -0.00010512 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 7 (Z): anal= 0.65294967, fd= 0.65271982, err= 0.00022985 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.78190960, fd= 0.78210270, err= -0.00019310 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.88990470, fd= 0.89015593, err= -0.00025124 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.96691768, fd= 0.96731144, err= -0.00039376 (at 13.05764152 -0.03644075 0.59776190)
iedge= 14, ipnt= 11 (Z): anal= 1.00309764, fd= 1.00337868, err= -0.00028104 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.99531715, fd= 0.99565365, err= -0.00033650 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.94973801, fd= 0.94997891, err= -0.00024090 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 15 (Z): anal= 0.77246865, fd= 0.77264546, err= -0.00017681 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.65436843, fd= 0.65454869, err= -0.00018026 (at 12.50347458 -0.04991257 0.59595297)
...too many errors to list
d(Edge)/d(fuse) check complete with 25 total errors (errmax= 8.0235e-04)
inode= 10, ipnt= 0 (Z): anal= -0.00136231, fd= -0.00154918, err= 0.00018686 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.8686e-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= 4.5613e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.9321e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.0513e-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= 1.7668e-06)
iedge= 11, ipnt= 13 (Y): anal= -0.18975880, fd= -0.18939261, err= -0.00036620 (at 13.05075993 0.29743193 0.26053120)
iedge= 12, ipnt= 7 (Y): anal= -0.46666712, fd= -0.46695895, err= 0.00029183 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= -0.02061440, fd= -0.02073612, err= 0.00012172 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= 0.28925152, fd= 0.28899882, err= 0.00025270 (at 12.88777568 0.26628088 0.16202910)
iedge= 21, ipnt= 8 (Y): anal= 0.21234502, fd= 0.21194297, err= 0.00040204 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 5 total errors (errmax= 4.0204e-04)
inode= 10, ipnt= 0 (X): anal= 0.12367542, fd= 0.12389673, err= -0.00022131 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= 0.26520271, fd= 0.26569739, err= -0.00049468 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.01224497, fd= 0.01392461, err= -0.00167964 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= -0.26586868, fd= -0.26569739, err= -0.00017129 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.01450664, fd= 0.01392461, err= 0.00058203 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.6796e-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= 1, ipnt= 463 (Z): anal= 1.04072659, fd= 1.04096512, err= -0.00023853 (at 13.88948897 0.05852720 0.00576835)
iface= 1, ipnt= 481 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 641 (Z): anal= 1.63049429, fd= 1.63028329, err= 0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= 1.12408656, fd= 1.12394235, err= 0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= 1.74538050, fd= 1.74516148, err= 0.00021902 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= 1.84097177, fd= 1.84081587, err= 0.00015590 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1051 (Z): anal= 0.06201279, fd= 0.06212621, err= -0.00011342 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1200 (Z): anal= 0.06351907, fd= 0.06368623, err= -0.00016716 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 493 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= 1.60533990, fd= 1.60513174, err= 0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 720 (Z): anal= 0.95994132, fd= 0.95981738, err= 0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 846 (Z): anal= 1.83890312, fd= 1.83874461, err= 0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 847 (Z): anal= 1.50569055, fd= 1.50555924, err= 0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 962 (Z): anal= 1.62428103, fd= 1.62413080, err= 0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= 0.07145195, fd= 0.07164671, err= -0.00019476 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= 1.56406139, fd= 1.56389028, err= 0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= 0.06542262, fd= 0.06560017, err= -0.00017755 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= 0.04571967, fd= 0.04586690, err= -0.00014723 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04)
iedge= 5, ipnt= 17 (Z): anal= -0.00250330, fd= -0.00237870, err= -0.00012461 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= -0.00307372, fd= -0.00291026, err= -0.00016346 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= -0.00342688, fd= -0.00322867, err= -0.00019821 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= -0.00351733, fd= -0.00329192, err= -0.00022542 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= -0.00332768, fd= -0.00308706, err= -0.00024061 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= -0.00286879, fd= -0.00263273, err= -0.00023606 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= -0.00217818, fd= -0.00197163, err= -0.00020655 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= -0.00131669, fd= -0.00117058, err= -0.00014611 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 27 (Z): anal= 0.00136901, fd= 0.00110224, err= 0.00026678 (at 13.13700567 0.03397837 0.59804182)
iedge= 5, ipnt= 28 (Z): anal= 0.00186033, fd= 0.00140825, err= 0.00045208 (at 13.22138394 0.03123871 0.59833486)
...too many errors to list
iedge= 11, ipnt= 11 (Y): anal= 0.02838513, fd= 0.02854075, err= -0.00015562 (at 12.82443884 0.29780556 0.26544216)
iedge= 11, ipnt= 12 (Y): anal= 0.01334381, fd= 0.01380888, err= -0.00046507 (at 12.93762920 0.29771590 0.26355019)
iedge= 11, ipnt= 13 (Y): anal= -0.01436660, fd= -0.01545351, err= 0.00108690 (at 13.05075993 0.29743193 0.26053120)
iedge= 11, ipnt= 14 (Y): anal= -0.05789977, fd= -0.05803652, err= 0.00013675 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 14 (Z): anal= -0.00279602, fd= -0.00328117, err= 0.00048514 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 15 (Z): anal= -0.00565186, fd= -0.00546235, err= -0.00018951 (at 13.27683055 0.29624510 0.25195070)
iedge= 11, ipnt= 16 (Y): anal= -0.18231066, fd= -0.18242075, err= 0.00011010 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 16 (Z): anal= -0.00896625, fd= -0.00920863, err= 0.00024237 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 17 (Y): anal= -0.24884709, fd= -0.24859611, err= -0.00025098 (at 13.50266307 0.29419516 0.24082919)
iedge= 11, ipnt= 17 (Z): anal= -0.01224303, fd= -0.01164863, err= -0.00059440 (at 13.50266307 0.29419516 0.24082919)
iedge= 12, ipnt= 7 (Y): anal= -0.18400791, fd= -0.18414872, err= 0.00014081 (at 13.12505891 0.26936245 0.16777278)
iedge= 14, ipnt= 1 (Z): anal= 0.00015996, fd= 0.00002816, err= 0.00013179 (at 13.88809019 -0.00534757 0.59995187)
iedge= 14, ipnt= 2 (Z): anal= 0.00011464, fd= -0.00027411, err= 0.00038875 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 0.00026436, fd= -0.00036873, err= 0.00063308 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 0.00065613, fd= -0.00013592, err= 0.00079205 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= 0.00118852, fd= 0.00033496, err= 0.00085356 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 0.00169059, fd= 0.00088869, err= 0.00080191 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 0.00198362, fd= 0.00131608, err= 0.00066754 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.00192913, fd= 0.00143415, err= 0.00049498 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.00146578, fd= 0.00117244, err= 0.00029334 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.00063617, fd= 0.00053284, err= 0.00010333 (at 13.05764152 -0.03644075 0.59776190)
...too many errors to list
d(Edge)/d(fuse) check complete with 46 total errors (errmax= 1.0869e-03)
inode= 10, ipnt= 0 (Z): anal= 0.00241546, fd= 0.00274679, err= -0.00033133 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00286160, fd= 0.00274679, err= 0.00011481 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 3.3133e-04)
*********************************************************
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= 1, ipnt= 463 (Z): anal= 0.01024470, fd= 0.01000617, err= 0.00023853 (at 13.88948897 0.05852720 0.00576835)
iface= 1, ipnt= 481 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 641 (Z): anal= 0.06386323, fd= 0.06407422, err= -0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= 0.04117709, fd= 0.04132130, err= -0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= 0.07227576, fd= 0.07249477, err= -0.00021902 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= 0.05074385, fd= 0.05089975, err= -0.00015590 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1051 (Z): anal= 1.11841858, fd= 1.11830524, err= 0.00011334 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1200 (Z): anal= 1.35138132, fd= 1.35121419, err= 0.00016713 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 493 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= 0.06336000, fd= 0.06356817, err= -0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 720 (Z): anal= 0.03550303, fd= 0.03562697, err= -0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 846 (Z): anal= 0.05103193, fd= 0.05119044, err= -0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 847 (Z): anal= 0.08716186, fd= 0.08729316, err= -0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 962 (Z): anal= 0.09252081, fd= 0.09267104, err= -0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= 1.55837437, fd= 1.55817967, err= 0.00019470 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= 0.05196325, fd= 0.05213436, err= -0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= 1.41879740, fd= 1.41861993, err= 0.00017747 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= 1.12130129, fd= 1.12115418, err= 0.00014711 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04)
iedge= 5, ipnt= 15 (Z): anal= -0.13419678, fd= -0.13432698, err= 0.00013019 (at 12.12380394 0.05367370 0.59524176)
iedge= 5, ipnt= 17 (Z): anal= -0.34416251, fd= -0.34428764, err= 0.00012512 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= -0.44049716, fd= -0.44066071, err= 0.00016354 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= -0.51896319, fd= -0.51916166, err= 0.00019847 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= -0.57046818, fd= -0.57069385, err= 0.00022567 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= -0.58589897, fd= -0.58613968, err= 0.00024070 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= -0.55611829, fd= -0.55636105, err= 0.00024276 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= -0.47196374, fd= -0.47224625, err= 0.00028251 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= -0.32424939, fd= -0.32488332, err= 0.00063392 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= -0.10376892, fd= -0.10538366, err= 0.00161473 (at 12.96822054 0.03907570 0.59744662)
...too many errors to list
iedge= 14, ipnt= 1 (Z): anal= 1.10406238, fd= 1.10419668, err= -0.00013430 (at 13.88809019 -0.00534757 0.59995187)
iedge= 14, ipnt= 2 (Z): anal= 1.73249294, fd= 1.73286727, err= -0.00037432 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 2.07381852, fd= 2.07443874, err= -0.00062022 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 2.17305801, fd= 2.17384994, err= -0.00079194 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= 2.07538756, fd= 2.07627246, err= -0.00088490 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 1.82606244, fd= 1.82722945, err= -0.00116702 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 1.47035789, fd= 1.47256506, err= -0.00220717 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 1.05352532, fd= 1.05428652, err= -0.00076119 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.62075932, fd= 0.62125103, err= -0.00049170 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.21717730, fd= 0.21707383, err= 0.00010348 (at 13.05764152 -0.03644075 0.59776190)
...too many errors to list
d(Edge)/d(fuse) check complete with 37 total errors (errmax= 2.2072e-03)
inode= 10, ipnt= 0 (Z): anal= 0.00134891, fd= 0.00153393, err= -0.00018502 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.8502e-04)
*********************************************************
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= 8.1021e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6523e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.5376e-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= 1.0664e-06)
iedge= 11, ipnt= 13 (Y): anal= 0.14023714, fd= 0.13993565, err= 0.00030149 (at 13.05075993 0.29743193 0.26053120)
iedge= 12, ipnt= 7 (Y): anal= 0.34338549, fd= 0.34362595, err= -0.00024046 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= 0.01524875, fd= 0.01534901, err= -0.00010026 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= -0.21396675, fd= -0.21375868, err= -0.00020806 (at 12.88777568 0.26628088 0.16202910)
iedge= 21, ipnt= 8 (Y): anal= -0.15689571, fd= -0.15656487, err= -0.00033085 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 5 total errors (errmax= 3.3085e-04)
inode= 10, ipnt= 0 (X): anal= -0.09148597, fd= -0.09164959, err= 0.00016361 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.19617744, fd= -0.19654317, err= 0.00036573 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00905792, fd= -0.01030039, err= 0.00124247 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.19667008, fd= 0.19654317, err= 0.00012691 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.01073094, fd= -0.01030039, err= -0.00043055 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.2425e-03)
*********************************************************
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= 1, ipnt= 479 (Z): anal= 0.00447951, fd= 0.00435725, err= 0.00012226 (at 13.94800836 0.06097290 0.59373512)
iface= 1, ipnt= 481 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 491 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 641 (Z): anal= -1.11535065, fd= -1.11518931, err= -0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= -0.80721884, fd= -0.80710453, err= -0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= -1.04798024, fd= -1.04782851, err= -0.00015173 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= -1.22410063, fd= -1.22398393, err= -0.00011670 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1200 (Z): anal= -0.04482068, fd= -0.04495122, err= 0.00013054 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 480 (Z): anal= 0.00410616, fd= 0.00399383, err= 0.00011233 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 490 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 493 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= -1.10251625, fd= -1.10235660, err= -0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 846 (Z): anal= -1.22289508, fd= -1.22277641, err= -0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 962 (Z): anal= -0.98640477, fd= -0.98629979, err= -0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= -0.04919235, fd= -0.04934166, err= 0.00014930 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= -0.76029107, fd= -0.76019068, err= -0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= -0.04588569, fd= -0.04602371, err= 0.00013802 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= -0.03289804, fd= -0.03301465, err= 0.00011661 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5525e-04)
iedge= 2, ipnt= 1 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.00576834)
iedge= 2, ipnt= 17 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.59423166)
iedge= 2, ipnt= 18 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 0.02940488 0.59855116)
iedge= 5, ipnt= 17 (Z): anal= 0.00177354, fd= 0.00167261, err= 0.00010093 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= 0.00217105, fd= 0.00203865, err= 0.00013240 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.00241025, fd= 0.00224971, err= 0.00016055 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.00246007, fd= 0.00227748, err= 0.00018259 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.00231072, fd= 0.00211582, err= 0.00019490 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.00197387, fd= 0.00178266, err= 0.00019121 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.00148126, fd= 0.00131393, err= 0.00016733 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.00088204, fd= 0.00076354, err= 0.00011850 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 27 (Z): anal= -0.00083690, fd= -0.00062178, err= -0.00021512 (at 13.13700567 0.03397837 0.59804182)
iedge= 5, ipnt= 28 (Z): anal= -0.00106172, fd= -0.00069980, err= -0.00036192 (at 13.22138394 0.03123871 0.59833486)
...too many errors to list
iedge= 12, ipnt= 7 (Y): anal= 0.13539747, fd= 0.13495356, err= 0.00044392 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 7 (Z): anal= 0.00587223, fd= 0.00683761, err= -0.00096538 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= 0.00629372, fd= 0.00667979, err= -0.00038607 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 8 (Z): anal= 0.00029577, fd= -0.00009171, err= 0.00038748 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= -0.09110826, fd= -0.08996759, err= -0.00114066 (at 12.88777568 0.26628088 0.16202910)
iedge= 12, ipnt= 9 (Z): anal= -0.00468786, fd= -0.00592007, err= 0.00123221 (at 12.88777568 0.26628088 0.16202910)
iedge= 12, ipnt= 10 (Y): anal= -0.14911667, fd= -0.14932274, err= 0.00020607 (at 12.76911894 0.26562722 0.16103673)
iedge= 12, ipnt= 10 (Z): anal= -0.00850890, fd= -0.00939791, err= 0.00088901 (at 12.76911894 0.26562722 0.16103673)
iedge= 12, ipnt= 11 (Z): anal= -0.01092924, fd= -0.01169508, err= 0.00076584 (at 12.65054226 0.26590586 0.16183500)
iedge= 14, ipnt= 2 (Z): anal= 0.00029902, fd= 0.00051146, err= -0.00021244 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 0.00038754, fd= 0.00080892, err= -0.00042138 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 0.00021039, fd= 0.00078128, err= -0.00057088 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= -0.00016975, fd= 0.00047421, err= -0.00064396 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= -0.00061298, fd= 0.00000798, err= -0.00062096 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= -0.00095993, fd= -0.00043372, err= -0.00052621 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= -0.00107651, fd= -0.00068118, err= -0.00039533 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= -0.00088831, fd= -0.00065202, err= -0.00023629 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 12 (Z): anal= 0.00096297, fd= 0.00083675, err= 0.00012622 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.00160212, fd= 0.00142689, err= 0.00017524 (at 12.78060570 -0.04407878 0.59680337)
...too many errors to list
iedge= 16, ipnt= 1 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 -0.02940488 0.59855116)
iedge= 16, ipnt= 2 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 -0.05852709 0.59423166)
iedge= 16, ipnt= 18 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 -0.05852709 0.00576834)
d(Edge)/d(fuse) check complete with 47 total errors (errmax= 1.2322e-03)
inode= 10, ipnt= 0 (Z): anal= -0.00178678, fd= -0.00203189, err= 0.00024510 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 2.4510e-04)
*********************************************************
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= 1, ipnt= 479 (Z): anal= 0.44495900, fd= 0.44508132, err= -0.00012232 (at 13.94800836 0.06097290 0.59373512)
iface= 1, ipnt= 481 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 491 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 641 (Z): anal= -0.04384375, fd= -0.04400509, err= 0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= -0.02966915, fd= -0.02978346, err= 0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= -0.04358455, fd= -0.04373628, err= 0.00015173 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= -0.03386027, fd= -0.03397697, err= 0.00011670 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1200 (Z): anal= -0.95100483, fd= -0.95087434, err= -0.00013049 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 480 (Z): anal= 0.40655336, fd= 0.40666574, err= -0.00011239 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 490 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 493 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= -0.04366914, fd= -0.04382879, err= 0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 846 (Z): anal= -0.03405854, fd= -0.03417721, err= 0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 962 (Z): anal= -0.05631642, fd= -0.05642140, err= 0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= -1.06971119, fd= -1.06956190, err= -0.00014929 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= -0.02541805, fd= -0.02551843, err= 0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= -0.99230508, fd= -0.99216709, err= -0.00013799 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= -0.80433888, fd= -0.80422231, err= -0.00011657 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5639e-04)
iedge= 2, ipnt= 1 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.00576834)
iedge= 2, ipnt= 17 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.59423166)
iedge= 2, ipnt= 18 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 0.02940488 0.59855116)
iedge= 5, ipnt= 17 (Z): anal= 0.25466419, fd= 0.25476553, err= -0.00010134 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= 0.32594988, fd= 0.32608238, err= -0.00013250 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.38401529, fd= 0.38417607, err= -0.00016078 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.42213197, fd= 0.42231477, err= -0.00018280 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.43355559, fd= 0.43375057, err= -0.00019497 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.41152344, fd= 0.41172013, err= -0.00019669 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.34925387, fd= 0.34948366, err= -0.00022978 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.23994767, fd= 0.24046775, err= -0.00052008 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 0.07679072, fd= 0.07812012, err= -0.00132939 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= -0.14559279, fd= -0.14574387, err= 0.00015108 (at 13.05261778 0.03659278 0.59774416)
...too many errors to list
iedge= 14, ipnt= 2 (Z): anal= -0.77060451, fd= -0.77080346, err= 0.00019895 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= -1.18130652, fd= -1.18171610, err= 0.00040958 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= -1.37639721, fd= -1.37696775, err= 0.00057054 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= -1.39405940, fd= -1.39472916, err= 0.00066977 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= -1.27256049, fd= -1.27348211, err= 0.00092162 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= -1.05019685, fd= -1.05199111, err= 0.00179425 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= -0.76525256, fd= -0.76586728, err= 0.00061472 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= -0.45596847, fd= -0.45636830, err= 0.00039983 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 11 (Z): anal= 0.08339437, fd= 0.08327429, err= 0.00012008 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.25687352, fd= 0.25702529, err= -0.00015178 (at 12.87296185 -0.04170950 0.59711601)
...too many errors to list
iedge= 16, ipnt= 1 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 -0.02940488 0.59855116)
iedge= 16, ipnt= 2 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 -0.05852709 0.59423166)
iedge= 16, ipnt= 18 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 -0.05852709 0.00576834)
d(Edge)/d(fuse) check complete with 39 total errors (errmax= 1.7943e-03)
inode= 10, ipnt= 0 (Z): anal= -0.00099782, fd= -0.00113468, err= 0.00013686 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.3686e-04)
*********************************************************
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= 2.4777e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1370e-05)
inode= 7, ipnt= 0 (X): anal= 0.45852176, fd= 0.45878311, err= -0.00026135 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.00230398, fd= -0.00218547, err= -0.00011851 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00024422, fd= 0.00000000, err= -0.00024422 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.45559967, fd= 0.45878311, err= -0.00318344 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.00343228, fd= 0.00218547, err= 0.00124681 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00259723, fd= 0.00000000, err= -0.00259723 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 3.1834e-03)
*********************************************************
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= 3.9684e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1539e-05)
inode= 7, ipnt= 0 (X): anal= -1.37556527, fd= -1.37635059, err= 0.00078532 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.00691193, fd= 0.00655644, err= 0.00035549 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00073265, fd= 0.00000000, err= 0.00073265 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 1.36679902, fd= 1.37634801, err= -0.00954899 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.01029683, fd= 0.00655638, err= 0.00374045 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00779168, fd= 0.00000000, err= -0.00779168 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 9.5490e-03)
*********************************************************
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= 6.5625e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.7319e-05)
inode= 7, ipnt= 0 (X): anal= 0.66739124, fd= 0.66799276, err= -0.00060152 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.22238857, fd= 0.22266425, err= -0.00027568 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.46477119, fd= 0.46533929, err= -0.00056809 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.66017388, fd= 0.66799276, err= -0.00781887 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.21960175, fd= -0.22266425, err= 0.00306251 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.45895941, fd= 0.46533929, err= -0.00637988 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 7.8189e-03)
*********************************************************
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= 2.6288e-06)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 5.9985e-06)
d(Node)/d(wing) check complete with 0 total errors (errmax= 4.4645e-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= 6.9092e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.7300e-06)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.3208e-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= 1.0240e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1308e-05)
inode= 7, ipnt= 0 (X): anal= 0.52682710, fd= 0.52712738, err= -0.00030028 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.00264720, fd= -0.00251103, err= -0.00013616 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00028060, fd= 0.00000000, err= -0.00028060 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.52346972, fd= 0.52712738, err= -0.00365766 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.00394358, fd= 0.00251103, err= 0.00143254 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00298413, fd= 0.00000000, err= -0.00298413 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 3.6577e-03)
*********************************************************
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= 4.5084e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1239e-05)
inode= 7, ipnt= 0 (X): anal= -1.58048130, fd= -1.58138048, err= 0.00089918 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.00794160, fd= 0.00753314, err= 0.00040846 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00084179, fd= 0.00000000, err= 0.00084179 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.57040916, fd= -1.58138048, err= 0.01097132 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01183073, fd= -0.00753314, err= -0.00429760 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00895239, fd= 0.00000000, err= 0.00895239 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 1.0971e-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= 9.1511e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 5.0479e-05)
inode= 7, ipnt= 0 (X): anal= 0.76681157, fd= 0.76750334, err= -0.00069177 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.25551749, fd= 0.25583445, err= -0.00031696 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.53400751, fd= 0.53466074, err= -0.00065323 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.75851906, fd= 0.76750334, err= -0.00898428 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.25231551, fd= -0.25583445, err= 0.00351893 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.52732995, fd= 0.53466074, err= -0.00733079 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 8.9843e-03)
*********************************************************
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= 1.3308e-05)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 1.8281e-05)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.7749e-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= 1.7589e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.6954e-07)
d(Node)/d(wing) check complete with 0 total errors (errmax= 2.6332e-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= 2.9177e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-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= 1.8048e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-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= 1.6687e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-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= 1.3223e-05)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 1.8400e-05)
d(Node)/d(wing) check complete with 0 total errors (errmax= 6.8239e-10)
*********************************************************
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= 7.8796e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.4371e-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= 5.6892e-09)
d(Edge)/d(xroot_h) check complete with 0 total errors (errmax= 6.3172e-05)
inode= 10, ipnt= 0 (X): anal= 0.99919854, fd= 0.99949179, err= -0.00029325 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.00174797, fd= -0.00108985, err= -0.00065812 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00229220, fd= -0.00005712, err= -0.00223509 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= 0.99959582, fd= 0.99949179, err= 0.00010403 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.00089012, fd= 0.00108985, err= -0.00019973 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00062091, fd= -0.00005712, err= 0.00067802 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(xroot_h) check complete with 6 total errors (errmax= 2.2351e-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= 1.6698e-06)
d(Edge)/d(zroot_h) check complete with 0 total errors (errmax= 3.7864e-05)
inode= 10, ipnt= 0 (X): anal= 0.13731053, fd= 0.13956264, err= -0.00225211 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= 0.29426231, fd= 0.29929304, err= -0.00503074 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.99859123, fd= 1.01568528, err= -0.01709405 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= 0.14049043, fd= 0.13956264, err= 0.00092780 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= -0.30107809, fd= -0.29929304, err= -0.00178505 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 1.02173819, fd= 1.01568528, err= 0.00605291 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(zroot_h) check complete with 6 total errors (errmax= 1.7094e-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= 1.3693e-07)
d(Edge)/d(aroot_h) check complete with 0 total errors (errmax= 2.8760e-07)
d(Node)/d(aroot_h) check complete with 0 total errors (errmax= 1.2302e-07)
*********************************************************
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= 1.4788e-06)
d(Edge)/d(area_h) check complete with 0 total errors (errmax= 2.5502e-06)
d(Node)/d(area_h) check complete with 0 total errors (errmax= 3.9908e-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= 1.2988e-05)
d(Edge)/d(taper_h) check complete with 0 total errors (errmax= 2.2597e-05)
d(Node)/d(taper_h) check complete with 0 total errors (errmax= 2.9242e-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= 2.9172e-06)
d(Edge)/d(aspect_h) check complete with 0 total errors (errmax= 4.9986e-06)
d(Node)/d(aspect_h) check complete with 0 total errors (errmax= 7.0677e-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= 3.8545e-09)
d(Edge)/d(sweep_h) check complete with 0 total errors (errmax= 3.9119e-07)
d(Node)/d(sweep_h) check complete with 0 total errors (errmax= 1.3639e-05)
*********************************************************
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= 4.0736e-09)
d(Edge)/d(dihed_h) check complete with 0 total errors (errmax= 1.8556e-07)
d(Node)/d(dihed_h) check complete with 0 total errors (errmax= 8.5919e-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= 8.0362e-08)
d(Edge)/d(twist_h) check complete with 0 total errors (errmax= 4.7817e-08)
d(Node)/d(twist_h) check complete with 0 total errors (errmax= 9.8857e-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= 2.3922e-08)
d(Edge)/d(xroot_v) check complete with 0 total errors (errmax= 3.3965e-05)
d(Node)/d(xroot_v) check complete with 0 total errors (errmax= 2.1300e-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= 2.4102e-08)
d(Edge)/d(zroot_v) check complete with 0 total errors (errmax= 3.3793e-05)
d(Node)/d(zroot_v) check complete with 0 total errors (errmax= 8.2995e-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= 2.4886e-07)
d(Edge)/d(area_v) check complete with 0 total errors (errmax= 4.0512e-06)
d(Node)/d(area_v) check complete with 0 total errors (errmax= 3.0545e-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= 3.6061e-06)
d(Edge)/d(taper_v) check complete with 0 total errors (errmax= 5.8371e-05)
d(Node)/d(taper_v) check complete with 0 total errors (errmax= 4.1749e-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= 7.8698e-07)
d(Edge)/d(aspect_v) check complete with 0 total errors (errmax= 1.2780e-05)
d(Node)/d(aspect_v) check complete with 0 total errors (errmax= 9.2643e-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= 1.9020e-09)
d(Edge)/d(sweep_v) check complete with 0 total errors (errmax= 1.1759e-07)
d(Node)/d(sweep_v) check complete with 0 total errors (errmax= 7.4348e-08)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 5.225 sec
Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions
real 5m49.795s
user 9m38.662s
sys 0m30.166s
++++ set +x
data/basic/design9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 46 / 180 )
data/basic/designA.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designA.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.066s
user 0m0.056s
sys 0m0.011s
++++ set +x
data/basic/designA -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 47 / 180 )
data/basic/designB1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.6663e-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= 6.8795e-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= 8.0779e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1598e-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= 1.2903e-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= 1.8150e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.056 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m1.613s
user 0m1.835s
sys 0m0.238s
++++ set +x
data/basic/designB1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 48 / 180 )
data/basic/designB2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.6663e-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= 6.8795e-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= 8.0779e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1598e-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= 1.2903e-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= 1.2903e-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= 1.8150e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.065 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m1.666s
user 0m1.745s
sys 0m0.243s
++++ set +x
data/basic/designB2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 49 / 180 )
data/basic/designB3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 1.368 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.527s
user 0m1.645s
sys 0m0.222s
++++ set +x
data/basic/designB3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 50 / 180 )
data/basic/designB4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.6663e-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= 6.8795e-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= 8.0779e-08)
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=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= 5.1398e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 7.7716e-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= 2.2204e-10)
d(Node)/d(move) check complete with 0 total errors (errmax= 3.3307e-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= 1.8150e-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 -> 0.251 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8633e-07) with 0 suppressions
real 0m3.051s
user 0m3.544s
sys 0m0.278s
++++ set +x
data/basic/designB4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 51 / 180 )
data/basic/designB5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.3100e-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=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= 8.0779e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1621e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1665e-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= 6.6613e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.6613e-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= 4.4409e-10)
d(Node)/d(move) check complete with 0 total errors (errmax= 4.4409e-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= 3.2244e-07)
d(Edge)/d(bump) check complete with 0 total errors (errmax= 7.2546e-07)
d(Node)/d(bump) check complete with 0 total errors (errmax= 8.6451e-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= 1.0757e-09)
d(Node)/d(rotn) check complete with 0 total errors (errmax= 7.0017e-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= 1.8150e-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 -> 0.426 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions
real 0m5.418s
user 0m6.229s
sys 0m0.388s
++++ set +x
data/basic/designB5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 52 / 180 )
data/basic/designC0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xsize" for ibody=1
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ysize" for ibody=1
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zsize" for ibody=1
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.137s
user 0m0.077s
sys 0m0.015s
++++ set +x
data/basic/designC0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 53 / 180 )
data/basic/designC1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.6789e-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= 3.1336e-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= 3.1109e-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= 2.6789e-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= 3.1307e-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= 3.1025e-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= 3.2343e-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 -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.138s
user 0m0.154s
sys 0m0.016s
++++ set +x
data/basic/designC1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 54 / 180 )
data/basic/designC1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.6789e-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= 3.1307e-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= 3.1025e-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= 2.6789e-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= 3.1336e-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= 3.1109e-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= 3.2343e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.106s
user 0m0.125s
sys 0m0.010s
++++ set +x
data/basic/designC1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 55 / 180 )
data/basic/designC2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8331e-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= 3.0929e-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= 2.8331e-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= 3.0912e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.101s
user 0m0.116s
sys 0m0.011s
++++ set +x
data/basic/designC2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 56 / 180 )
data/basic/designC2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8331e-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= 3.0912e-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= 2.8331e-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= 3.0929e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.101s
user 0m0.117s
sys 0m0.010s
++++ set +x
data/basic/designC2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 57 / 180 )
data/basic/designC3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.0929e-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= 2.8331e-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= 3.0912e-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= 2.8331e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.100s
user 0m0.116s
sys 0m0.011s
++++ set +x
data/basic/designC3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 58 / 180 )
data/basic/designC3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.0912e-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= 2.8331e-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= 3.0929e-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= 2.8331e-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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.098s
user 0m0.113s
sys 0m0.010s
++++ set +x
data/basic/designC3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 59 / 180 )
data/basic/designC4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 182 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xvrtx) check complete with 404 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= 2.8740e-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= 2.8381e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 182 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xbase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xbase) check complete with 404 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= 2.8713e-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= 2.8220e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0869e-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= 182 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.09648562, fd= -0.09081000, err= -0.00567562 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.19204204, fd= -0.18074545, err= -0.01129659 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.28574898, fd= -0.26894022, err= -0.01680876 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.00781250 0.00019144 0.99805628)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.00781250 0.00038104 0.99808440)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.00781250 0.00056696 0.99813098)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.00781250 0.00074743 0.99819555)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.00781250 0.00092070 0.99827750)
iface= 2, ipnt= 192 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.00781250 0.00172250 0.99907930)
iface= 2, ipnt= 193 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.00781250 0.00180445 0.99925257)
iface= 2, ipnt= 194 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.00781250 0.00186902 0.99943304)
iface= 2, ipnt= 195 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.00781250 0.00191560 0.99961896)
iface= 2, ipnt= 196 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.00781250 0.00194372 0.99980856)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.008 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.098s
user 0m0.091s
sys 0m0.011s
++++ set +x
data/basic/designC4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 60 / 180 )
data/basic/designC4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 182 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 5.96875000 0.00076576 1.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 5.96875000 0.00152414 1.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 5.96875000 0.00226785 1.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 5.96875000 0.00298971 1.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 5.96875000 0.00368279 1.00689001)
iface= 2, ipnt= 254 (Y): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 5.96875000 0.00689001 1.00368279)
iface= 2, ipnt= 255 (Y): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 5.96875000 0.00721781 1.00298971)
iface= 2, ipnt= 256 (Y): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 5.96875000 0.00747610 1.00226785)
iface= 2, ipnt= 257 (Y): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 5.96875000 0.00766239 1.00152414)
iface= 2, ipnt= 258 (Y): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 5.96875000 0.00777488 1.00076576)
...too many errors to list
d(Face)/d(xvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(xvrtx) check complete with 404 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= 2.8844e-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= 2.8278e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 182 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.96875000 0.00076576 1.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.96875000 0.00152414 1.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.96875000 0.00226785 1.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.96875000 0.00298971 1.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.96875000 0.00368279 1.00689001)
iface= 2, ipnt= 254 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.96875000 0.00689001 1.00368279)
iface= 2, ipnt= 255 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.96875000 0.00721781 1.00298971)
iface= 2, ipnt= 256 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.96875000 0.00747610 1.00226785)
iface= 2, ipnt= 257 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.96875000 0.00766239 1.00152414)
iface= 2, ipnt= 258 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.96875000 0.00777488 1.00076576)
...too many errors to list
d(Face)/d(xbase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(xbase) check complete with 404 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= 2.8817e-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= 2.8301e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0869e-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= 182 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.09648562, fd= -0.09081000, err= -0.00567562 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.19204204, fd= -0.18074545, err= -0.01129659 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.28574898, fd= -0.26894022, err= -0.01680876 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.99218750 0.00019144 1.00194372)
iface= 2, ipnt= 183 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.99218750 0.00038104 1.00191560)
iface= 2, ipnt= 184 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.99218750 0.00056696 1.00186902)
iface= 2, ipnt= 185 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.99218750 0.00074743 1.00180445)
iface= 2, ipnt= 186 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.99218750 0.00092070 1.00172250)
iface= 2, ipnt= 192 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.99218750 0.00172250 1.00092070)
iface= 2, ipnt= 193 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.99218750 0.00180445 1.00074743)
iface= 2, ipnt= 194 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.99218750 0.00186902 1.00056696)
iface= 2, ipnt= 195 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.99218750 0.00191560 1.00038104)
iface= 2, ipnt= 196 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.99218750 0.00194372 1.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.010 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.167s
user 0m0.119s
sys 0m0.015s
++++ set +x
data/basic/designC4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 61 / 180 )
data/basic/designC5a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC5a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8635e-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= 182 (X): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.00413284, fd= -0.00140692, err= 0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(yvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(yvrtx) check complete with 404 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= 2.8278e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 2.8713e-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= 182 (X): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= -0.09417600, fd= -0.08863624, err= -0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(ybase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(ybase) check complete with 404 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= 2.8404e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0816e-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= 182 (X): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.37670400, fd= 0.35454494, err= 0.02215906 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99980856 2.00781250 -0.00194372)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99961896 2.00781250 -0.00191560)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99943304 2.00781250 -0.00186902)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99925257 2.00781250 -0.00180445)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99907930 2.00781250 -0.00172250)
iface= 2, ipnt= 192 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99827750 2.00781250 -0.00092070)
iface= 2, ipnt= 193 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99819555 2.00781250 -0.00074743)
iface= 2, ipnt= 194 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99813098 2.00781250 -0.00056696)
iface= 2, ipnt= 195 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99808440 2.00781250 -0.00038104)
iface= 2, ipnt= 196 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99805628 2.00781250 -0.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.008 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.114s
user 0m0.102s
sys 0m0.014s
++++ set +x
data/basic/designC5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 62 / 180 )
data/basic/designC5b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC5b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8740e-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= 182 (X): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= -0.00413284, fd= 0.00140692, err= -0.00553976 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99923424 5.96875000 0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99847586 5.96875000 0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99773215 5.96875000 0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99701029 5.96875000 0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99631721 5.96875000 0.00689001)
iface= 2, ipnt= 254 (X): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 0.99310999 5.96875000 0.00368279)
iface= 2, ipnt= 255 (X): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 0.99278219 5.96875000 0.00298971)
iface= 2, ipnt= 256 (X): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 0.99252390 5.96875000 0.00226785)
iface= 2, ipnt= 257 (X): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 0.99233761 5.96875000 0.00152414)
iface= 2, ipnt= 258 (X): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 0.99222512 5.96875000 0.00076576)
...too many errors to list
d(Face)/d(yvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(yvrtx) check complete with 404 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= 2.8327e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 2.8817e-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= 182 (X): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.09417600, fd= 0.08863624, err= 0.00553976 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99923424 5.96875000 0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99847586 5.96875000 0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99773215 5.96875000 0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99701029 5.96875000 0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99631721 5.96875000 0.00689001)
iface= 2, ipnt= 254 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99310999 5.96875000 0.00368279)
iface= 2, ipnt= 255 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99278219 5.96875000 0.00298971)
iface= 2, ipnt= 256 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99252390 5.96875000 0.00226785)
iface= 2, ipnt= 257 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99233761 5.96875000 0.00152414)
iface= 2, ipnt= 258 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99222512 5.96875000 0.00076576)
...too many errors to list
d(Face)/d(ybase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(ybase) check complete with 404 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= 2.8301e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0816e-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= 182 (X): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.37670400, fd= 0.35454494, err= 0.02215906 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99980856 5.99218750 0.00194372)
iface= 2, ipnt= 183 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99961896 5.99218750 0.00191560)
iface= 2, ipnt= 184 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99943304 5.99218750 0.00186902)
iface= 2, ipnt= 185 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99925257 5.99218750 0.00180445)
iface= 2, ipnt= 186 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99907930 5.99218750 0.00172250)
iface= 2, ipnt= 192 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99827750 5.99218750 0.00092070)
iface= 2, ipnt= 193 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99819555 5.99218750 0.00074743)
iface= 2, ipnt= 194 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99813098 5.99218750 0.00056696)
iface= 2, ipnt= 195 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99808440 5.99218750 0.00038104)
iface= 2, ipnt= 196 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99805628 5.99218750 0.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (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= 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)
iedge= 6, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.100s
user 0m0.092s
sys 0m0.012s
++++ set +x
data/basic/designC5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 63 / 180 )
data/basic/designC6a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC6a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8278e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 2.8635e-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= 182 (X): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= -0.00997756, fd= 0.00339662, err= -0.01337418 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at -0.00777488 0.99923424 2.03125000)
iface= 2, ipnt= 245 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at -0.00766239 0.99847586 2.03125000)
iface= 2, ipnt= 246 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at -0.00747610 0.99773215 2.03125000)
iface= 2, ipnt= 247 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at -0.00721781 0.99701029 2.03125000)
iface= 2, ipnt= 248 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at -0.00689001 0.99631721 2.03125000)
iface= 2, ipnt= 254 (Y): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at -0.00368279 0.99310999 2.03125000)
iface= 2, ipnt= 255 (Y): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at -0.00298971 0.99278219 2.03125000)
iface= 2, ipnt= 256 (Y): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at -0.00226785 0.99252390 2.03125000)
iface= 2, ipnt= 257 (Y): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at -0.00152414 0.99233761 2.03125000)
iface= 2, ipnt= 258 (Y): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at -0.00076576 0.99222512 2.03125000)
...too many errors to list
d(Face)/d(zvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(zvrtx) check complete with 404 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= 2.8404e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.0816e-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= 2.8713e-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= 182 (X): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= 0.22736098, fd= 0.21398680, err= 0.01337418 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at -0.00777488 0.99923424 2.03125000)
iface= 2, ipnt= 245 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at -0.00766239 0.99847586 2.03125000)
iface= 2, ipnt= 246 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at -0.00747610 0.99773215 2.03125000)
iface= 2, ipnt= 247 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at -0.00721781 0.99701029 2.03125000)
iface= 2, ipnt= 248 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at -0.00689001 0.99631721 2.03125000)
iface= 2, ipnt= 254 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at -0.00368279 0.99310999 2.03125000)
iface= 2, ipnt= 255 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at -0.00298971 0.99278219 2.03125000)
iface= 2, ipnt= 256 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at -0.00226785 0.99252390 2.03125000)
iface= 2, ipnt= 257 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at -0.00152414 0.99233761 2.03125000)
iface= 2, ipnt= 258 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at -0.00076576 0.99222512 2.03125000)
...too many errors to list
d(Face)/d(zbase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(zbase) check complete with 404 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= 182 (X): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= -0.90944391, fd= -0.85594721, err= -0.05349670 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 182 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at -0.00194372 0.99980856 2.00781250)
iface= 2, ipnt= 183 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at -0.00191560 0.99961896 2.00781250)
iface= 2, ipnt= 184 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at -0.00186902 0.99943304 2.00781250)
iface= 2, ipnt= 185 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at -0.00180445 0.99925257 2.00781250)
iface= 2, ipnt= 186 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at -0.00172250 0.99907930 2.00781250)
iface= 2, ipnt= 192 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at -0.00092070 0.99827750 2.00781250)
iface= 2, ipnt= 193 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at -0.00074743 0.99819555 2.00781250)
iface= 2, ipnt= 194 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at -0.00056696 0.99813098 2.00781250)
iface= 2, ipnt= 195 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at -0.00038104 0.99808440 2.00781250)
iface= 2, ipnt= 196 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at -0.00019144 0.99805628 2.00781250)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.097s
user 0m0.088s
sys 0m0.012s
++++ set +x
data/basic/designC6a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 64 / 180 )
data/basic/designC6b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC6b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8327e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.0788e-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= 2.8740e-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= 182 (X): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= -0.00997756, fd= 0.00339662, err= -0.01337418 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.00777488 0.99923424 5.96875000)
iface= 2, ipnt= 245 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.00766239 0.99847586 5.96875000)
iface= 2, ipnt= 246 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.00747610 0.99773215 5.96875000)
iface= 2, ipnt= 247 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.00721781 0.99701029 5.96875000)
iface= 2, ipnt= 248 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.00689001 0.99631721 5.96875000)
iface= 2, ipnt= 254 (Y): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 0.00368279 0.99310999 5.96875000)
iface= 2, ipnt= 255 (Y): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 0.00298971 0.99278219 5.96875000)
iface= 2, ipnt= 256 (Y): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 0.00226785 0.99252390 5.96875000)
iface= 2, ipnt= 257 (Y): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 0.00152414 0.99233761 5.96875000)
iface= 2, ipnt= 258 (Y): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 0.00076576 0.99222512 5.96875000)
...too many errors to list
d(Face)/d(zvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(zvrtx) check complete with 404 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= 2.8301e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.0816e-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= 2.8817e-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= 182 (X): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= 0.22736098, fd= 0.21398680, err= 0.01337418 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.00777488 0.99923424 5.96875000)
iface= 2, ipnt= 245 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.00766239 0.99847586 5.96875000)
iface= 2, ipnt= 246 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.00747610 0.99773215 5.96875000)
iface= 2, ipnt= 247 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.00721781 0.99701029 5.96875000)
iface= 2, ipnt= 248 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.00689001 0.99631721 5.96875000)
iface= 2, ipnt= 254 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.00368279 0.99310999 5.96875000)
iface= 2, ipnt= 255 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.00298971 0.99278219 5.96875000)
iface= 2, ipnt= 256 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.00226785 0.99252390 5.96875000)
iface= 2, ipnt= 257 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.00152414 0.99233761 5.96875000)
iface= 2, ipnt= 258 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.00076576 0.99222512 5.96875000)
...too many errors to list
d(Face)/d(zbase) check complete with 12886 total errors (errmax= 1.4476e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(zbase) check complete with 404 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= 182 (X): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= 0.90944391, fd= 0.85594721, err= 0.05349670 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 182 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.00194372 0.99980856 5.99218750)
iface= 2, ipnt= 183 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.00191560 0.99961896 5.99218750)
iface= 2, ipnt= 184 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.00186902 0.99943304 5.99218750)
iface= 2, ipnt= 185 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.00180445 0.99925257 5.99218750)
iface= 2, ipnt= 186 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.00172250 0.99907930 5.99218750)
iface= 2, ipnt= 192 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.00092070 0.99827750 5.99218750)
iface= 2, ipnt= 193 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.00074743 0.99819555 5.99218750)
iface= 2, ipnt= 194 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.00056696 0.99813098 5.99218750)
iface= 2, ipnt= 195 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.00038104 0.99808440 5.99218750)
iface= 2, ipnt= 196 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.00019144 0.99805628 5.99218750)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
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)
iedge= 1, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (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= 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)
iedge= 6, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(rad) check complete with 414 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.094s
user 0m0.086s
sys 0m0.010s
++++ set +x
data/basic/designC6b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 65 / 180 )
data/basic/designD0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 5.0004e-13)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.057s
user 0m0.051s
sys 0m0.010s
++++ set +x
data/basic/designD0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 66 / 180 )
data/basic/designD0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 5.1666e-09)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.1666e-09)
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
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.9632e-08)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.9632e-08)
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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9632e-08) with 0 suppressions
real 0m0.143s
user 0m0.036s
sys 0m0.010s
++++ set +x
data/basic/designD0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 67 / 180 )
data/basic/designD0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0540e-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= 575 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -3.46191406)
iface= 1, ipnt= 576 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -2.96191406)
iface= 1, ipnt= 577 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -2.46191406)
iface= 1, ipnt= 582 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -1.96191406)
iface= 1, ipnt= 583 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -1.21191406)
iface= 1, ipnt= 616 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -3.91796875)
iface= 1, ipnt=1031 (Y): anal= 0.99791052, fd= 0.99772964, err= 0.00018089 (at 0.38959227 0.05840103 -3.75683594)
iface= 1, ipnt=1108 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -0.05273438)
iface= 1, ipnt=1130 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -0.15820312)
iface= 2, ipnt= 575 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -0.53808594)
iface= 2, ipnt= 576 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -1.03808594)
iface= 2, ipnt= 577 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -1.53808594)
iface= 2, ipnt= 582 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -2.03808594)
iface= 2, ipnt= 583 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -2.78808594)
iface= 2, ipnt= 605 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -0.08203125)
iface= 2, ipnt=1029 (Y): anal= 0.99791052, fd= 0.99772967, err= 0.00018085 (at 0.38959227 -0.05840103 -0.24316406)
iface= 2, ipnt=1088 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.94726562)
iface= 2, ipnt=1107 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.84179688)
d(Face)/d(camber) check complete with 18 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= 3.2907e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 1.2172e-09)
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= 3.7420e-10)
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 -> 0.019 sec
Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions
real 0m0.427s
user 0m0.523s
sys 0m0.013s
++++ set +x
data/basic/designD0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 68 / 180 )
data/basic/designD1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0899e-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= 2.2768e-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 -> 0.042 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.333s
user 0m0.334s
sys 0m0.013s
++++ set +x
data/basic/designD1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 69 / 180 )
data/basic/designD1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 160 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.06250000)
iface= 1, ipnt= 174 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.06250000)
iface= 1, ipnt= 175 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.12500000)
iface= 1, ipnt= 189 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.12500000)
iface= 1, ipnt= 190 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.18750000)
iface= 1, ipnt= 204 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.18750000)
iface= 1, ipnt= 205 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.25000000)
iface= 1, ipnt= 219 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.25000000)
iface= 1, ipnt= 220 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.31250000)
iface= 1, ipnt= 234 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.31250000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.06250000)
iface= 2, ipnt= 174 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.06250000)
iface= 2, ipnt= 175 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.12500000)
iface= 2, ipnt= 189 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.12500000)
iface= 2, ipnt= 190 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.18750000)
iface= 2, ipnt= 204 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.18750000)
iface= 2, ipnt= 205 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.25000000)
iface= 2, ipnt= 219 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.25000000)
iface= 2, ipnt= 220 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.31250000)
iface= 2, ipnt= 234 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.31250000)
...too many errors to list
d(Face)/d(thickness) check complete with 252 total errors (errmax= 1.7378e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -4.00000000)
iedge= 5, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -4.00000000)
iedge= 6, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -4.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 1.7378e-04)
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=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.06250000)
iface= 1, ipnt= 161 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.06250000)
iface= 1, ipnt= 173 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -0.06250000)
iface= 1, ipnt= 174 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -0.06250000)
iface= 1, ipnt= 175 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.12500000)
iface= 1, ipnt= 176 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 188 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -0.12500000)
iface= 1, ipnt= 189 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -0.12500000)
iface= 1, ipnt= 190 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.18750000)
iface= 1, ipnt= 191 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.18750000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.06250000)
iface= 2, ipnt= 161 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.06250000)
iface= 2, ipnt= 173 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -0.06250000)
iface= 2, ipnt= 174 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -0.06250000)
iface= 2, ipnt= 175 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.12500000)
iface= 2, ipnt= 176 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 2, ipnt= 188 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -0.12500000)
iface= 2, ipnt= 189 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -0.12500000)
iface= 2, ipnt= 190 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.18750000)
iface= 2, ipnt= 191 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.18750000)
...too many errors to list
d(Face)/d(camber) check complete with 504 total errors (errmax= 3.4757e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 2, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -4.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 4, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -4.00000000)
iedge= 5, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 5, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -4.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 6, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 6, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -4.00000000)
d(Edge)/d(camber) check complete with 16 total errors (errmax= 3.4757e-04)
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=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= 3.7420e-10)
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= 2.0782e-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= 1.0572e-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= 6.9797e-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 -> 0.052 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.458s
user 0m0.451s
sys 0m0.013s
++++ set +x
data/basic/designD1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 70 / 180 )
data/basic/designD1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.9164e-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= 1.0540e-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= 1.5793e-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= 1.7521e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-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=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= 3.7420e-10)
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= 1.7521e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-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=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= 4.8451e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-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= 5.0275e-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= 4.7567e-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 -> 0.287 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions
real 0m2.217s
user 0m2.178s
sys 0m0.040s
++++ set +x
data/basic/designD1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 71 / 180 )
data/basic/designD2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0899e-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= 2.2768e-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 -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.322s
user 0m0.322s
sys 0m0.015s
++++ set +x
data/basic/designD2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 72 / 180 )
data/basic/designD2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 160 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.93750000)
iface= 1, ipnt= 161 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.87500000)
iface= 1, ipnt= 162 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.81250000)
iface= 1, ipnt= 163 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.75000000)
iface= 1, ipnt= 164 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.68750000)
iface= 1, ipnt= 165 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.62500000)
iface= 1, ipnt= 166 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.56250000)
iface= 1, ipnt= 167 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.50000000)
iface= 1, ipnt= 168 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.43750000)
iface= 1, ipnt= 169 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.37500000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.93750000)
iface= 2, ipnt= 161 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.87500000)
iface= 2, ipnt= 162 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.81250000)
iface= 2, ipnt= 163 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.75000000)
iface= 2, ipnt= 164 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.68750000)
iface= 2, ipnt= 165 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.62500000)
iface= 2, ipnt= 166 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.56250000)
iface= 2, ipnt= 167 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.50000000)
iface= 2, ipnt= 168 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.43750000)
iface= 2, ipnt= 169 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.37500000)
...too many errors to list
d(Face)/d(thickness) check complete with 252 total errors (errmax= 1.7378e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 4.00000000)
iedge= 5, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 4.00000000)
iedge= 6, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 4.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 1.7378e-04)
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=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.93750000)
iface= 1, ipnt= 161 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.87500000)
iface= 1, ipnt= 162 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.81250000)
iface= 1, ipnt= 163 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.75000000)
iface= 1, ipnt= 164 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.68750000)
iface= 1, ipnt= 165 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.62500000)
iface= 1, ipnt= 166 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.56250000)
iface= 1, ipnt= 167 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.50000000)
iface= 1, ipnt= 168 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.43750000)
iface= 1, ipnt= 169 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.37500000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.93750000)
iface= 2, ipnt= 161 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.87500000)
iface= 2, ipnt= 162 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.81250000)
iface= 2, ipnt= 163 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.75000000)
iface= 2, ipnt= 164 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.68750000)
iface= 2, ipnt= 165 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.62500000)
iface= 2, ipnt= 166 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.56250000)
iface= 2, ipnt= 167 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.50000000)
iface= 2, ipnt= 168 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.43750000)
iface= 2, ipnt= 169 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.37500000)
...too many errors to list
d(Face)/d(camber) check complete with 504 total errors (errmax= 3.4757e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 2, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 4.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 4, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 4.00000000)
iedge= 5, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 5, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 4.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 6, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
iedge= 6, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 4.00000000)
d(Edge)/d(camber) check complete with 16 total errors (errmax= 3.4757e-04)
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=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= 3.7420e-10)
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= 2.0782e-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= 1.0572e-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= 6.9797e-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 -> 0.058 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.557s
user 0m0.541s
sys 0m0.016s
++++ set +x
data/basic/designD2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 73 / 180 )
data/basic/designD2c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0540e-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= 9.8852e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-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=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= 3.7420e-10)
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= 9.4761e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-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=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= 4.0835e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-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= 6.9803e-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= 5.1725e-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 -> 0.268 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m1.912s
user 0m2.044s
sys 0m0.019s
++++ set +x
data/basic/designD2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 74 / 180 )
data/basic/designD3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.7704e-11)
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= 1.3878e-11)
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= 1.7895e-11)
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= 2.1213e-11)
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= 1.3878e-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=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 -> 0.054 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.609s
user 0m0.532s
sys 0m0.018s
++++ set +x
data/basic/designD3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 75 / 180 )
data/basic/designD3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
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=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "camber" for ibody=15
iface= 1, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 1, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 1, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 1, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 1, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 1, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 1, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 1, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 1, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 2, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 2, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 2, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 2, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 2, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 2, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 2, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 2, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 2, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 2, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 3, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 3, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 3, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 3, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 3, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 3, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 3, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 3, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 3, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 3, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 4, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 4, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 4, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 4, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 4, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 4, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 4, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 4, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 4, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 4, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 248 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 8, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 8, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 12 total errors (errmax= 1.4804e-04)
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=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= 3.5573e-11)
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= 8.8940e-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= 9.1689e-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= 5.1421e-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= 1.9021e-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 -> 0.065 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.822s
user 0m0.749s
sys 0m0.013s
++++ set +x
data/basic/designD3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 76 / 180 )
data/basic/designD3c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0540e-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= 1.3574e-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= 1.0120e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-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= 2.0053e-11)
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=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= 9.2044e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-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= 4.0104e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-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=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= 4.9701e-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= 2.3730e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.2351e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.458 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.156s
user 0m4.985s
sys 0m0.025s
++++ set +x
data/basic/designD3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 77 / 180 )
data/basic/designD4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.7704e-11)
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= 1.3878e-11)
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= 2.0931e-11)
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= 2.1866e-11)
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= 1.3878e-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=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 -> 0.062 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.719s
user 0m0.712s
sys 0m0.020s
++++ set +x
data/basic/designD4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 78 / 180 )
data/basic/designD4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
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=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "camber" for ibody=27
iface= 1, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.12500000)
iface= 1, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.25000000)
iface= 1, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.37500000)
iface= 1, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.50000000)
iface= 1, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.62500000)
iface= 1, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.75000000)
iface= 1, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.87500000)
iface= 1, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.00000000)
iface= 1, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.12500000)
iface= 1, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.25000000)
...too many errors to list
iface= 2, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 2, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 2, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 2, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 2, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 2, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 2, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 2, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 2, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 2, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 3, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.87500000)
iface= 3, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.75000000)
iface= 3, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.62500000)
iface= 3, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.50000000)
iface= 3, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.37500000)
iface= 3, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.25000000)
iface= 3, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.12500000)
iface= 3, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.00000000)
iface= 3, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.87500000)
iface= 3, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.75000000)
...too many errors to list
iface= 4, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 4, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 4, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 4, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 4, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 4, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 4, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 4, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 4, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 4, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 5, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.12500000)
iface= 5, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.25000000)
iface= 5, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.37500000)
iface= 5, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.50000000)
iface= 5, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.62500000)
iface= 5, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.75000000)
iface= 5, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.87500000)
iface= 5, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.00000000)
iface= 5, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.12500000)
iface= 5, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.25000000)
...too many errors to list
iface= 6, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 6, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 6, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 6, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 6, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 6, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 6, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 6, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 6, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 6, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 7, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.87500000)
iface= 7, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.75000000)
iface= 7, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.62500000)
iface= 7, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.50000000)
iface= 7, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.37500000)
iface= 7, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.25000000)
iface= 7, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.12500000)
iface= 7, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.00000000)
iface= 7, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.87500000)
iface= 7, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.75000000)
...too many errors to list
iface= 8, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 8, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 8, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 8, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 8, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 8, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 8, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 8, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 8, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 8, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 240 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -2.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 2.00000000)
iedge= 13, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 13, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 14, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 14, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 15, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.00000000)
iedge= 15, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -2.00000000)
iedge= 16, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 16, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 17, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.00000000)
iedge= 17, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 2.00000000)
iedge= 18, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 18, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 20 total errors (errmax= 1.4804e-04)
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= 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= 1.9466e-11)
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= 8.8695e-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= 9.1458e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 9.1917e-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= 3.5333e-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= 1.7983e-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 -> 0.131 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.631s
user 0m1.596s
sys 0m0.021s
++++ set +x
data/basic/designD4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 79 / 180 )
data/basic/designD4c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.9008e-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= 1.0540e-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= 1.3345e-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= 9.8506e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-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= 3.1443e-11)
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=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= 9.7631e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-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= 4.1710e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-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=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= 4.9175e-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= 3.5155e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.2351e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.0660e-13)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.743 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m5.000s
user 0m5.442s
sys 0m0.031s
++++ set +x
data/basic/designD4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 80 / 180 )
data/basic/designD5a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.7704e-11)
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= 1.3878e-11)
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= 1.7895e-11)
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= 2.1213e-11)
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= 1.3878e-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=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= 1.3878e-11)
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 -> 0.058 sec
Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions
real 0m0.583s
user 0m0.581s
sys 0m0.020s
++++ set +x
data/basic/designD5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 81 / 180 )
data/basic/designD5b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
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=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber" for ibody=17
iface= 1, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 1, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 1, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 1, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 1, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 1, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 1, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 1, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 1, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 2, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 2, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 2, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 2, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 2, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 2, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 2, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 2, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 2, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 2, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 3, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 3, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 3, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 3, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 3, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 3, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 3, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 3, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 3, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 3, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 4, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 4, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 4, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 4, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 4, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 4, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 4, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 4, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 4, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 4, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 248 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 8, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 8, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 12 total errors (errmax= 1.4804e-04)
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=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= 3.5573e-11)
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= 8.8940e-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= 9.1689e-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= 5.1421e-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= 1.9021e-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= 3.8932e-11)
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 -> 0.092 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.009s
user 0m0.981s
sys 0m0.019s
++++ set +x
data/basic/designD5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 82 / 180 )
data/basic/designD5c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0540e-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= 1.3574e-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= 1.0120e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-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= 2.0053e-11)
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=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= 9.2044e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-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= 4.0104e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-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=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= 4.9701e-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= 2.3730e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.2351e-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= 3.9643e-11)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.8376e-07)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.1102e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.466 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.154s
user 0m5.322s
sys 0m0.023s
++++ set +x
data/basic/designD5c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 83 / 180 )
data/basic/designD6a0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3527e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 6.7014e-11)
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= 1.1133e-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= 4.4241e-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= 3.8322e-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= 3.5861e-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= 1.7041e-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= 3.0955e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2538e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-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= 2.7279e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.6630e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 1.2426e-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= 1.7392e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3692e-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= 1.0391e-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 -> 0.104 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m3.817s
user 0m3.846s
sys 0m0.026s
++++ set +x
data/basic/designD6a0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 84 / 180 )
data/basic/designD6a1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.5815e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 6.7014e-11)
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= 8.3634e-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=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= 4.9247e-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= 5.0505e-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= 3.3415e-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= 4.3770e-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= 4.2971e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.1210e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-11)
*********************************************************
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= 2.7819e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.6630e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 1.3344e-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= 8.3692e-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= 1.5271e-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 -> 0.114 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.881s
user 0m1.884s
sys 0m0.019s
++++ set +x
data/basic/designD6a1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 85 / 180 )
data/basic/designD6a2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3858e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.6245e-11)
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= 9.1086e-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=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= 3.9186e-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= 4.2419e-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= 4.4475e-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= 2.2203e-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= 3.6394e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2110e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-11)
*********************************************************
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= 2.7799e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.6630e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 1.4398e-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= 3.0425e-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= 1.3609e-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= 2.0200e-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 -> 0.099 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.620s
user 0m1.626s
sys 0m0.020s
++++ set +x
data/basic/designD6a2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 86 / 180 )
data/basic/designD6b0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 115 (Y): anal= 0.12194556, fd= 0.12204863, err= -0.00010307 (at 1.04768943 0.09836243 -0.95124191)
iface= 1, ipnt= 127 (Y): anal= 0.12311974, fd= 0.12322380, err= -0.00010406 (at 0.23492304 0.09836243 -0.95124190)
iface= 1, ipnt= 252 (Y): anal= 0.10907406, fd= 0.10922912, err= -0.00015506 (at 1.04028582 0.08594303 -0.82731726)
iface= 1, ipnt= 254 (Y): anal= 0.09641867, fd= 0.09661938, err= -0.00020071 (at 1.03306800 0.07386969 -0.70708887)
iface= 1, ipnt= 256 (Y): anal= 0.08739719, fd= 0.08762564, err= -0.00022845 (at 1.02436546 0.06273417 -0.59250389)
iface= 1, ipnt= 258 (Y): anal= 0.08200219, fd= 0.08224527, err= -0.00024308 (at 1.01462521 0.05280494 -0.48661382)
iface= 1, ipnt= 260 (Y): anal= 0.07834290, fd= 0.07859512, err= -0.00025222 (at 1.00463496 0.04362489 -0.38684535)
iface= 1, ipnt= 262 (Y): anal= 0.07307583, fd= 0.07333921, err= -0.00026338 (at 0.98790282 0.02871752 -0.22388826)
iface= 1, ipnt= 264 (Y): anal= 0.06790010, fd= 0.06817040, err= -0.00027029 (at 0.97607622 0.01742789 -0.10216588)
iface= 1, ipnt= 266 (Y): anal= 0.06268463, fd= 0.06295761, err= -0.00027299 (at 0.96982516 0.01017124 -0.02660974)
...too many errors to list
iface= 2, ipnt= 115 (Y): anal= 0.12311976, fd= 0.12322382, err= -0.00010406 (at 0.23492291 0.09836237 0.95124113)
iface= 2, ipnt= 127 (Y): anal= 0.12194558, fd= 0.12204865, err= -0.00010307 (at 1.04768932 0.09836237 0.95124114)
iface= 2, ipnt= 252 (Y): anal= 0.11014265, fd= 0.11029923, err= -0.00015658 (at 0.20550871 0.08594297 0.82731655)
iface= 2, ipnt= 254 (Y): anal= 0.09737854, fd= 0.09758125, err= -0.00020271 (at 0.17700688 0.07386963 0.70708826)
iface= 2, ipnt= 256 (Y): anal= 0.08827691, fd= 0.08850765, err= -0.00023074 (at 0.15166641 0.06273412 0.59250337)
iface= 2, ipnt= 258 (Y): anal= 0.08283305, fd= 0.08307858, err= -0.00024554 (at 0.12994689 0.05280490 0.48661338)
iface= 2, ipnt= 260 (Y): anal= 0.07914023, fd= 0.07939502, err= -0.00025479 (at 0.11029603 0.04362482 0.38684465)
iface= 2, ipnt= 262 (Y): anal= 0.07382432, fd= 0.07409040, err= -0.00026608 (at 0.07861391 0.02871747 0.22388779)
iface= 2, ipnt= 264 (Y): anal= 0.06859974, fd= 0.06887282, err= -0.00027308 (at 0.05427702 0.01742786 0.10216562)
iface= 2, ipnt= 266 (Y): anal= 0.06333422, fd= 0.06361004, err= -0.00027582 (at 0.03808051 0.01017123 0.02660969)
...too many errors to list
iface= 3, ipnt= 115 (Y): anal= -0.12162732, fd= -0.12173012, err= 0.00010280 (at 0.23492303 0.06808334 -0.95124191)
iface= 3, ipnt= 127 (Y): anal= -0.12296417, fd= -0.12306810, err= 0.00010393 (at 1.04768941 0.06808333 -0.95124190)
iface= 3, ipnt= 252 (Y): anal= -0.10878336, fd= -0.10893801, err= 0.00015465 (at 0.20550882 0.05881874 -0.82731726)
iface= 3, ipnt= 254 (Y): anal= -0.09615652, fd= -0.09635669, err= 0.00020017 (at 0.17700697 0.04985484 -0.70708887)
iface= 3, ipnt= 256 (Y): anal= -0.08715621, fd= -0.08738402, err= 0.00022782 (at 0.15166650 0.04094058 -0.59250389)
iface= 3, ipnt= 258 (Y): anal= -0.08177416, fd= -0.08201656, err= 0.00024240 (at 0.12994698 0.03234145 -0.48661382)
iface= 3, ipnt= 260 (Y): anal= -0.07812376, fd= -0.07837527, err= 0.00025152 (at 0.11029618 0.02406428 -0.38684535)
iface= 3, ipnt= 262 (Y): anal= -0.07286969, fd= -0.07313233, err= 0.00026264 (at 0.07861402 0.01045785 -0.22388826)
iface= 3, ipnt= 264 (Y): anal= -0.06770705, fd= -0.06797657, err= 0.00026952 (at 0.05427710 0.00044882 -0.10216588)
iface= 3, ipnt= 266 (Y): anal= -0.06250504, fd= -0.06277725, err= 0.00027221 (at 0.03808055 -0.00551514 -0.02660974)
...too many errors to list
iface= 4, ipnt= 115 (Y): anal= -0.12296419, fd= -0.12306812, err= 0.00010393 (at 1.04768931 0.06808326 0.95124113)
iface= 4, ipnt= 127 (Y): anal= -0.12162734, fd= -0.12173014, err= 0.00010280 (at 0.23492291 0.06808327 0.95124114)
iface= 4, ipnt= 252 (Y): anal= -0.11000281, fd= -0.11015920, err= 0.00015638 (at 1.04028572 0.05881867 0.82731655)
iface= 4, ipnt= 254 (Y): anal= -0.09725436, fd= -0.09745681, err= 0.00020245 (at 1.03306792 0.04985478 0.70708826)
iface= 4, ipnt= 256 (Y): anal= -0.08816400, fd= -0.08839445, err= 0.00023045 (at 1.02436540 0.04094053 0.59250337)
iface= 4, ipnt= 258 (Y): anal= -0.08272690, fd= -0.08297213, err= 0.00024522 (at 1.01462517 0.03234141 0.48661338)
iface= 4, ipnt= 260 (Y): anal= -0.07903869, fd= -0.07929316, err= 0.00025446 (at 1.00463490 0.02406422 0.38684465)
iface= 4, ipnt= 262 (Y): anal= -0.07372943, fd= -0.07399517, err= 0.00026574 (at 0.98790280 0.01045781 0.22388779)
iface= 4, ipnt= 264 (Y): anal= -0.06851142, fd= -0.06878415, err= 0.00027273 (at 0.97607622 0.00044881 0.10216562)
iface= 4, ipnt= 266 (Y): anal= -0.06325256, fd= -0.06352802, err= 0.00027546 (at 0.96982519 -0.00551514 0.02660969)
...too many errors to list
d(Face)/d(thickness) check complete with 96 total errors (errmax= 2.7582e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.05851275, fd= 0.05878781, err= -0.00027506 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 4, ipnt= 10 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 11 (Y): anal= 0.05851275, fd= 0.05878781, err= -0.00027506 (at 0.03070800 0.00723521 0.00000000)
iedge= 9, ipnt= 1 (Y): anal= -0.05851275, fd= -0.05878781, err= 0.00027506 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 2 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 9, ipnt= 10 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 9, ipnt= 11 (Y): anal= -0.05851275, fd= -0.05878781, err= 0.00027506 (at 0.96929200 -0.00723521 0.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 2.7506e-04)
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=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "camber" for ibody=22
iface= 1, ipnt= 115 (Y): anal= 0.24389112, fd= 0.24409726, err= -0.00020615 (at 1.04768943 0.09836243 -0.95124191)
iface= 1, ipnt= 127 (Y): anal= 0.24623948, fd= 0.24644761, err= -0.00020813 (at 0.23492304 0.09836243 -0.95124190)
iface= 1, ipnt= 133 (Y): anal= 0.47705895, fd= 0.47694437, err= 0.00011459 (at 0.88348138 0.04766555 -0.20922139)
iface= 1, ipnt= 134 (Y): anal= 0.45964142, fd= 0.45950892, err= 0.00013250 (at 0.87594348 0.03660674 -0.09486588)
iface= 1, ipnt= 135 (Y): anal= 0.44172396, fd= 0.44158070, err= 0.00014326 (at 0.87380724 0.02944103 -0.02538195)
iface= 1, ipnt= 136 (Y): anal= 0.43287042, fd= 0.43272470, err= 0.00014573 (at 0.87455004 0.02724673 -0.00644688)
iface= 1, ipnt= 154 (Y): anal= 0.48093328, fd= 0.48081776, err= 0.00011552 (at 0.17867802 0.04766556 -0.20922141)
iface= 1, ipnt= 155 (Y): anal= 0.46344470, fd= 0.46331111, err= 0.00013359 (at 0.15224107 0.03660675 -0.09486590)
iface= 1, ipnt= 156 (Y): anal= 0.44544223, fd= 0.44529777, err= 0.00014447 (at 0.13373373 0.02944103 -0.02538195)
iface= 1, ipnt= 157 (Y): anal= 0.43654294, fd= 0.43639597, err= 0.00014697 (at 0.12736534 0.02724674 -0.00644688)
...too many errors to list
iface= 2, ipnt= 115 (Y): anal= 0.24623952, fd= 0.24644765, err= -0.00020813 (at 0.23492291 0.09836237 0.95124113)
iface= 2, ipnt= 127 (Y): anal= 0.24389117, fd= 0.24409731, err= -0.00020615 (at 1.04768932 0.09836237 0.95124114)
iface= 2, ipnt= 133 (Y): anal= 0.48093282, fd= 0.48081730, err= 0.00011552 (at 0.17867762 0.04766542 0.20922008)
iface= 2, ipnt= 134 (Y): anal= 0.46344426, fd= 0.46331066, err= 0.00013360 (at 0.15224079 0.03660666 0.09486518)
iface= 2, ipnt= 135 (Y): anal= 0.44544191, fd= 0.44529744, err= 0.00014447 (at 0.13373360 0.02944100 0.02538182)
iface= 2, ipnt= 136 (Y): anal= 0.43654273, fd= 0.43639577, err= 0.00014697 (at 0.12736526 0.02724672 0.00644684)
iface= 2, ipnt= 154 (Y): anal= 0.47705854, fd= 0.47694395, err= 0.00011459 (at 0.88348137 0.04766541 0.20922007)
iface= 2, ipnt= 155 (Y): anal= 0.45964101, fd= 0.45950851, err= 0.00013250 (at 0.87594354 0.03660665 0.09486517)
iface= 2, ipnt= 156 (Y): anal= 0.44172366, fd= 0.44158040, err= 0.00014326 (at 0.87380732 0.02944100 0.02538182)
iface= 2, ipnt= 157 (Y): anal= 0.43287023, fd= 0.43272450, err= 0.00014573 (at 0.87455010 0.02724672 0.00644684)
...too many errors to list
iface= 3, ipnt= 115 (Y): anal= 0.24325463, fd= 0.24346021, err= -0.00020558 (at 0.23492303 0.06808334 -0.95124191)
iface= 3, ipnt= 127 (Y): anal= 0.24592834, fd= 0.24613618, err= -0.00020784 (at 1.04768941 0.06808333 -0.95124190)
iface= 3, ipnt= 133 (Y): anal= 0.47601821, fd= 0.47590383, err= 0.00011438 (at 0.17867796 -0.01105655 -0.20922139)
iface= 3, ipnt= 134 (Y): anal= 0.45862107, fd= 0.45848882, err= 0.00013224 (at 0.15224102 -0.02000736 -0.09486588)
iface= 3, ipnt= 135 (Y): anal= 0.44072714, fd= 0.44058416, err= 0.00014298 (at 0.13373370 -0.02499976 -0.02538195)
iface= 3, ipnt= 136 (Y): anal= 0.43188605, fd= 0.43174061, err= 0.00014544 (at 0.12736532 -0.02611868 -0.00644688)
iface= 3, ipnt= 154 (Y): anal= 0.48035134, fd= 0.48023592, err= 0.00011542 (at 0.88348133 -0.01105656 -0.20922141)
iface= 3, ipnt= 155 (Y): anal= 0.46288151, fd= 0.46274803, err= 0.00013347 (at 0.87594344 -0.02000737 -0.09486590)
iface= 3, ipnt= 156 (Y): anal= 0.44489872, fd= 0.44475439, err= 0.00014433 (at 0.87380721 -0.02499977 -0.02538195)
iface= 3, ipnt= 157 (Y): anal= 0.43600928, fd= 0.43586246, err= 0.00014682 (at 0.87455002 -0.02611868 -0.00644688)
...too many errors to list
iface= 4, ipnt= 115 (Y): anal= 0.24592838, fd= 0.24613622, err= -0.00020784 (at 1.04768931 0.06808326 0.95124113)
iface= 4, ipnt= 127 (Y): anal= 0.24325468, fd= 0.24346026, err= -0.00020558 (at 0.23492291 0.06808327 0.95124114)
iface= 4, ipnt= 133 (Y): anal= 0.48035088, fd= 0.48023546, err= 0.00011542 (at 0.88348133 -0.01105665 0.20922008)
iface= 4, ipnt= 134 (Y): anal= 0.46288106, fd= 0.46274759, err= 0.00013347 (at 0.87594351 -0.02000740 0.09486518)
iface= 4, ipnt= 135 (Y): anal= 0.44489840, fd= 0.44475407, err= 0.00014433 (at 0.87380730 -0.02499976 0.02538182)
iface= 4, ipnt= 136 (Y): anal= 0.43600908, fd= 0.43586225, err= 0.00014682 (at 0.87455009 -0.02611867 0.00644684)
iface= 4, ipnt= 154 (Y): anal= 0.47601779, fd= 0.47590341, err= 0.00011438 (at 0.17867757 -0.01105664 0.20922007)
iface= 4, ipnt= 155 (Y): anal= 0.45862065, fd= 0.45848841, err= 0.00013224 (at 0.15224075 -0.02000740 0.09486517)
iface= 4, ipnt= 156 (Y): anal= 0.44072684, fd= 0.44058386, err= 0.00014298 (at 0.13373357 -0.02499976 0.02538182)
iface= 4, ipnt= 157 (Y): anal= 0.43188585, fd= 0.43174042, err= 0.00014544 (at 0.12736525 -0.02611867 0.00644684)
...too many errors to list
d(Face)/d(camber) check complete with 264 total errors (errmax= 5.5164e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (X): anal= 0.02665236, fd= 0.02677765, err= -0.00012529 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11702550, fd= 0.11757562, err= -0.00055012 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 9 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 4, ipnt= 10 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 11 (X): anal= -0.02665236, fd= -0.02677765, err= 0.00012529 (at 0.03070800 0.00723521 0.00000000)
iedge= 4, ipnt= 11 (Y): anal= 0.11702550, fd= 0.11757562, err= -0.00055012 (at 0.03070800 0.00723521 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 7, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 8, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 8, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 9, ipnt= 1 (X): anal= 0.02665236, fd= 0.02677764, err= -0.00012528 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.11702550, fd= 0.11757561, err= -0.00055010 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 2 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 9, ipnt= 3 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 9 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 9, ipnt= 10 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 9, ipnt= 11 (X): anal= -0.02665236, fd= -0.02677764, err= 0.00012528 (at 0.96929200 -0.00723521 0.00000000)
iedge= 9, ipnt= 11 (Y): anal= 0.11702550, fd= 0.11757561, err= -0.00055010 (at 0.96929200 -0.00723521 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 10, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 24 total errors (errmax= 5.5012e-04)
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=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= 2.1358e-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= 8.8188e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9199e-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= 7.0694e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.8351e-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= 1.1944e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2537e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-11)
*********************************************************
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= 1.5950e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 3.3858e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-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= 1.2219e-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= 1.6509e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3071e-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= 1.5847e-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 -> 0.102 sec
Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions
real 0m4.059s
user 0m4.047s
sys 0m0.018s
++++ set +x
data/basic/designD6b0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 87 / 180 )
data/basic/designD6b1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 163 (Y): anal= 0.20717121, fd= 0.20707091, err= 0.00010030 (at 0.91457935 0.05147931 1.35000000)
iface= 1, ipnt= 164 (Y): anal= 0.20921622, fd= 0.20911465, err= 0.00010156 (at 0.89879427 0.04083502 1.23750000)
iface= 1, ipnt= 165 (Y): anal= 0.21111109, fd= 0.21100870, err= 0.00010238 (at 0.88474373 0.03136418 1.12500000)
iface= 1, ipnt= 166 (Y): anal= 0.21281792, fd= 0.21271522, err= 0.00010270 (at 0.87259561 0.02318035 1.01250000)
iface= 1, ipnt= 167 (Y): anal= 0.21429580, fd= 0.21419335, err= 0.00010245 (at 0.86251776 0.01639711 0.90000000)
iface= 1, ipnt= 168 (Y): anal= 0.21550103, fd= 0.21539945, err= 0.00010158 (at 0.85467804 0.01112801 0.78750000)
iface= 1, ipnt= 169 (Y): anal= 0.21638747, fd= 0.21628744, err= 0.00010003 (at 0.84924431 0.00748661 0.67500000)
iface= 1, ipnt= 541 (Y): anal= 0.20953495, fd= 0.20943351, err= 0.00010144 (at 0.17315752 0.05147931 1.35000000)
iface= 1, ipnt= 542 (Y): anal= 0.21115254, fd= 0.21105004, err= 0.00010250 (at 0.15218973 0.04083502 1.23750000)
iface= 1, ipnt= 543 (Y): anal= 0.21261845, fd= 0.21251534, err= 0.00010311 (at 0.13353478 0.03136418 1.12500000)
...too many errors to list
iface= 2, ipnt= 164 (Y): anal= -0.20869782, fd= -0.20859651, err= -0.00010131 (at 0.15218973 -0.01080778 1.23750000)
iface= 2, ipnt= 165 (Y): anal= -0.21070595, fd= -0.21060376, err= -0.00010218 (at 0.13353478 -0.02059897 1.12500000)
iface= 2, ipnt= 166 (Y): anal= -0.21252256, fd= -0.21242001, err= -0.00010256 (at 0.11741649 -0.02906277 1.01250000)
iface= 2, ipnt= 167 (Y): anal= -0.21410148, fd= -0.21399911, err= -0.00010236 (at 0.10405867 -0.03608206 0.90000000)
iface= 2, ipnt= 168 (Y): anal= -0.21539304, fd= -0.21529151, err= -0.00010153 (at 0.09368516 -0.04153971 0.78750000)
iface= 2, ipnt= 169 (Y): anal= -0.21634462, fd= -0.21624461, err= -0.00010001 (at 0.08651977 -0.04531862 0.67500000)
iface= 2, ipnt= 541 (Y): anal= -0.20919277, fd= -0.20909149, err= -0.00010128 (at 0.91457935 0.00019368 1.35000000)
iface= 2, ipnt= 542 (Y): anal= -0.21087249, fd= -0.21077013, err= -0.00010237 (at 0.89879427 -0.01080778 1.23750000)
iface= 2, ipnt= 543 (Y): anal= -0.21240056, fd= -0.21229755, err= -0.00010301 (at 0.88474373 -0.02059897 1.12500000)
iface= 2, ipnt= 544 (Y): anal= -0.21375385, fd= -0.21365069, err= -0.00010315 (at 0.87259561 -0.02906277 1.01250000)
...too many errors to list
d(Face)/d(thickness) check complete with 27 total errors (errmax= 1.0323e-04)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.9205e-05)
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=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "camber" for ibody=20
iface= 1, ipnt= 144 (Y): anal= 0.34150365, fd= 0.34138644, err= 0.00011721 (at 1.32080611 0.32563785 3.48750000)
iface= 1, ipnt= 145 (Y): anal= 0.34359974, fd= 0.34348143, err= 0.00011831 (at 1.30395806 0.31427498 3.37500000)
iface= 1, ipnt= 146 (Y): anal= 0.34596319, fd= 0.34584294, err= 0.00012025 (at 1.28565521 0.30192785 3.26250000)
iface= 1, ipnt= 147 (Y): anal= 0.34859033, fd= 0.34846739, err= 0.00012294 (at 1.26606542 0.28871004 3.15000000)
iface= 1, ipnt= 148 (Y): anal= 0.35147530, fd= 0.35134899, err= 0.00012631 (at 1.24535655 0.27473511 3.03750000)
iface= 1, ipnt= 149 (Y): anal= 0.35461007, fd= 0.35447982, err= 0.00013026 (at 1.22369647 0.26011661 2.92500000)
iface= 1, ipnt= 150 (Y): anal= 0.35798453, fd= 0.35784982, err= 0.00013471 (at 1.20125303 0.24496812 2.81250000)
iface= 1, ipnt= 151 (Y): anal= 0.36158638, fd= 0.36144679, err= 0.00013959 (at 1.17819409 0.22940319 2.70000000)
iface= 1, ipnt= 152 (Y): anal= 0.36540107, fd= 0.36525627, err= 0.00014480 (at 1.15468752 0.21353539 2.58750000)
iface= 1, ipnt= 153 (Y): anal= 0.36941169, fd= 0.36926141, err= 0.00015028 (at 1.13090117 0.19747829 2.47500000)
...too many errors to list
iface= 2, ipnt= 144 (Y): anal= 0.34052733, fd= 0.34041042, err= 0.00011691 (at 0.71330089 0.28340371 3.48750000)
iface= 2, ipnt= 145 (Y): anal= 0.34242487, fd= 0.34230693, err= 0.00011793 (at 0.69091541 0.27165984 3.37500000)
iface= 2, ipnt= 146 (Y): anal= 0.34459389, fd= 0.34447409, err= 0.00011980 (at 0.66659015 0.25890096 3.26250000)
iface= 2, ipnt= 147 (Y): anal= 0.34703544, fd= 0.34691302, err= 0.00012242 (at 0.64054893 0.24524421 3.15000000)
iface= 2, ipnt= 148 (Y): anal= 0.34974783, fd= 0.34962212, err= 0.00012572 (at 0.61301558 0.23080669 3.03750000)
iface= 2, ipnt= 149 (Y): anal= 0.35272678, fd= 0.35259718, err= 0.00012960 (at 0.58421390 0.21570552 2.92500000)
iface= 2, ipnt= 150 (Y): anal= 0.35596541, fd= 0.35583143, err= 0.00013398 (at 0.55436773 0.20005784 2.81250000)
iface= 2, ipnt= 151 (Y): anal= 0.35945433, fd= 0.35931553, err= 0.00013880 (at 0.52370089 0.18398074 2.70000000)
iface= 2, ipnt= 152 (Y): anal= 0.36318146, fd= 0.36303751, err= 0.00014396 (at 0.49243720 0.16759137 2.58750000)
iface= 2, ipnt= 153 (Y): anal= 0.36713199, fd= 0.36698260, err= 0.00014938 (at 0.46080048 0.15100683 2.47500000)
...too many errors to list
d(Face)/d(camber) check complete with 176 total errors (errmax= 2.0645e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 4, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 5, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 5, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 6, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 6, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 8 total errors (errmax= 1.1843e-04)
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= 1.2441e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.1360e-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= 2.3482e-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= 8.8679e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9199e-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= 3.8351e-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= 1.6904e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.1210e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-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= 1.6282e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.9191e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 4.6862e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-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= 1.6449e-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= 1.5407e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3071e-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= 1.2918e-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 -> 0.126 sec
Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions
real 0m1.110s
user 0m1.107s
sys 0m0.015s
++++ set +x
data/basic/designD6b1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 88 / 180 )
data/basic/designD6b2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.9205e-05)
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=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "camber" for ibody=18
iface= 1, ipnt= 144 (Y): anal= 0.34193964, fd= 0.34182267, err= 0.00011697 (at 1.32123871 0.32593157 3.48750000)
iface= 1, ipnt= 145 (Y): anal= 0.34436903, fd= 0.34425197, err= 0.00011706 (at 1.30563265 0.31541194 3.37500000)
iface= 1, ipnt= 146 (Y): anal= 0.34695628, fd= 0.34683897, err= 0.00011731 (at 1.28929744 0.30440075 3.26250000)
iface= 1, ipnt= 147 (Y): anal= 0.34969275, fd= 0.34957505, err= 0.00011771 (at 1.27231722 0.29295470 3.15000000)
iface= 1, ipnt= 148 (Y): anal= 0.35256932, fd= 0.35245107, err= 0.00011825 (at 1.25477612 0.28113052 3.03750000)
iface= 1, ipnt= 149 (Y): anal= 0.35557637, fd= 0.35545745, err= 0.00011892 (at 1.23675827 0.26898492 2.92500000)
iface= 1, ipnt= 150 (Y): anal= 0.35870376, fd= 0.35858404, err= 0.00011972 (at 1.21834779 0.25657461 2.81250000)
iface= 1, ipnt= 151 (Y): anal= 0.36194078, fd= 0.36182015, err= 0.00012063 (at 1.19962883 0.24395631 2.70000000)
iface= 1, ipnt= 152 (Y): anal= 0.36527615, fd= 0.36515451, err= 0.00012164 (at 1.18068552 0.23118674 2.58750000)
iface= 1, ipnt= 153 (Y): anal= 0.36869794, fd= 0.36857518, err= 0.00012275 (at 1.16160197 0.21832260 2.47500000)
...too many errors to list
iface= 2, ipnt= 144 (Y): anal= 0.34106093, fd= 0.34094422, err= 0.00011670 (at 0.71388013 0.28370593 3.48750000)
iface= 2, ipnt= 145 (Y): anal= 0.34339377, fd= 0.34327701, err= 0.00011676 (at 0.69315765 0.27282971 3.37500000)
iface= 2, ipnt= 146 (Y): anal= 0.34588912, fd= 0.34577214, err= 0.00011698 (at 0.67146701 0.26144543 3.26250000)
iface= 2, ipnt= 147 (Y): anal= 0.34853964, fd= 0.34842229, err= 0.00011735 (at 0.64891995 0.24961171 3.15000000)
iface= 2, ipnt= 148 (Y): anal= 0.35133744, fd= 0.35121957, err= 0.00011787 (at 0.62562815 0.23738719 3.03750000)
iface= 2, ipnt= 149 (Y): anal= 0.35427398, fd= 0.35415546, err= 0.00011852 (at 0.60170334 0.22483049 2.92500000)
iface= 2, ipnt= 150 (Y): anal= 0.35734015, fd= 0.35722085, err= 0.00011930 (at 0.57725722 0.21200023 2.81250000)
iface= 2, ipnt= 151 (Y): anal= 0.36052614, fd= 0.36040595, err= 0.00012019 (at 0.55240150 0.19895505 2.70000000)
iface= 2, ipnt= 152 (Y): anal= 0.36382146, fd= 0.36370027, err= 0.00012119 (at 0.52724790 0.18575356 2.58750000)
iface= 2, ipnt= 153 (Y): anal= 0.36721488, fd= 0.36709258, err= 0.00012229 (at 0.50190813 0.17245440 2.47500000)
...too many errors to list
d(Face)/d(camber) check complete with 252 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 4, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 5, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 5, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 6, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 6, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 8 total errors (errmax= 1.1843e-04)
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= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.1360e-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= 2.4001e-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= 8.8646e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9199e-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= 3.8351e-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= 1.6503e-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= 2.6548e-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= 1.1855e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.0547e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 4.1308e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-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= 1.2658e-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= 1.3697e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3071e-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= 1.5404e-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 -> 0.096 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.072s
user 0m1.063s
sys 0m0.016s
++++ set +x
data/basic/designD6b2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 89 / 180 )
data/basic/designD6c0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9086e-05)
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
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.5453e-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= 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= 1.5545e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 1.7521e-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= 3.7023e-10)
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= 1.7063e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8818e-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= 3.0292e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6765e-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=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= 2.1461e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2537e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-11)
*********************************************************
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= 4.4308e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.1065e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 3.9248e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-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= 4.2550e-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= 3.9276e-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= 4.5505e-10)
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 -> 0.394 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions
real 0m8.083s
user 0m8.446s
sys 0m0.023s
++++ set +x
data/basic/designD6c0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 90 / 180 )
data/basic/designD6c1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.9074e-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= 1.0309e-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= 1.3641e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.9055e-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= 4.3789e-10)
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= 1.7049e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8817e-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= 3.2248e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6765e-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=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= 3.1760e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.1210e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-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= 2.5892e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.6528e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 3.9829e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-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= 2.7547e-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= 1.8789e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.3676e-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=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= 1.8707e-10)
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 -> 0.547 sec
Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions
real 0m3.147s
user 0m3.244s
sys 0m0.018s
++++ set +x
data/basic/designD6c1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 91 / 180 )
data/basic/designD6c2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.6598e-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= 1.0303e-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= 1.3646e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.9055e-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= 4.8369e-10)
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= 1.7056e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8817e-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= 3.2270e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6765e-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=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= 2.9209e-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= 2.6548e-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= 2.9943e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.2765e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
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= 3.9539e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-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= 2.6269e-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= 2.4505e-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= 3.2466e-10)
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 -> 0.352 sec
Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions
real 0m2.825s
user 0m2.935s
sys 0m0.021s
++++ set +x
data/basic/designD6c2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 92 / 180 )
data/basic/designE1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3978e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-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= 2.6755e-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= 2.6755e-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= 1.3978e-10)
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 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m0.673s
user 0m0.764s
sys 0m0.130s
++++ set +x
data/basic/designE1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 93 / 180 )
data/basic/designE2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.3978e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-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= 1.1002e-10)
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= 8.8818e-10)
*********************************************************
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= 1.1002e-10)
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= 8.8818e-10)
*********************************************************
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= 1.3978e-10)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
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= 8.2267e-11)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
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= 8.2267e-11)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.8818e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.031 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m1.321s
user 0m1.864s
sys 0m0.228s
++++ set +x
data/basic/designE2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 94 / 180 )
data/basic/designE3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.4259e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbar) check complete with 0 total errors (errmax= 1.7764e-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= 1.5543e-10)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
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= 1.5543e-10)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
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= 1.5543e-10)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbox) check complete with 0 total errors (errmax= 2.8043e-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= 1.5543e-10)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
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= 1.5543e-10)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 1.7764e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.074 sec
Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions
real 0m4.296s
user 0m4.976s
sys 0m0.225s
++++ set +x
data/basic/designE3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 95 / 180 )
data/basic/designE4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 8.1678e-08)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 7.0596e-08)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.1506e-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= 9.7011e-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= 3.6868e-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= 2.5735e-10)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 2.1214e-10)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 3.2018e-08)
*********************************************************
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= 2.5735e-10)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 2.1214e-10)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 3.2018e-08)
*********************************************************
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= 3.6962e-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= 1.7351e-10)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.3955e-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=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= 1.7351e-10)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.3955e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.075 sec
Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions
real 0m10.457s
user 0m12.023s
sys 0m0.214s
++++ set +x
data/basic/designE4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 96 / 180 )
data/basic/designE5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 0.0000e+00)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 4.3299e-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= 0.0000e+00)
d(Edge)/d(ycent) check complete with 0 total errors (errmax= 2.1672e-10)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
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= 5.0004e-13)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 1.4433e-10)
d(Node)/d(thick) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
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= 0.0000e+00)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.1999e-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= 8.2267e-11)
d(Edge)/d(xbox) check complete with 0 total errors (errmax= 3.9139e-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= 2.9193e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 9.7813e-08)
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= 1.4433e-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= 4.1133e-11)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.4433e-10)
d(Node)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.124 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions
real 0m0.935s
user 0m1.090s
sys 0m0.219s
++++ set +x
data/basic/designE5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 97 / 180 )
data/basic/designE6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE6.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 5.0004e-13)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 5.0004e-13)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 2.0317e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.134s
user 0m0.142s
sys 0m0.037s
++++ set +x
data/basic/designE6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 98 / 180 )
data/basic/designE7.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE7.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.8756e-11)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 2.8756e-11)
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= 4.1133e-11)
d(Edge)/d(size) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(size) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.357s
user 0m0.400s
sys 0m0.076s
++++ set +x
data/basic/designE7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 99 / 180 )
data/basic/designE8.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE8.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions
real 0m0.304s
user 0m0.339s
sys 0m0.062s
++++ set +x
data/basic/designE8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 100 / 180 )
data/basic/designE9.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE9.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.467s
user 0m0.475s
sys 0m0.102s
++++ set +x
data/basic/designE9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 101 / 180 )
data/basic/designEa.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designEa.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 8.2267e-11)
d(Edge)/d(dxtop) check complete with 0 total errors (errmax= 8.2267e-11)
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= 8.2267e-11)
d(Edge)/d(dzbot) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzbot) 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 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.367s
user 0m0.390s
sys 0m0.069s
++++ set +x
data/basic/designEa -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 102 / 180 )
data/basic/designEb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designEb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.033 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.377s
user 0m0.390s
sys 0m0.072s
++++ set +x
data/basic/designEb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 103 / 180 )
data/basic/designF0bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF0bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 6.6899e-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= 4.6568e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0770e-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= 8.1281e-07)
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= 1.4197e-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= 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)
iface= 1, ipnt= 136 (Z): anal= -0.52491833, fd= -0.52478838, err= -0.00012995 (at -1.87663444 0.37850475 -0.63622197)
iface= 1, ipnt= 159 (Z): anal= 0.52491810, fd= 0.52478814, err= 0.00012995 (at -1.87663428 0.37850515 0.63622188)
iface= 1, ipnt= 161 (Z): anal= 0.59197021, fd= 0.59239978, err= -0.00042957 (at -1.86952763 0.16292498 0.67877755)
iface= 1, ipnt= 162 (Z): anal= 0.60186092, fd= 0.60234446, err= -0.00048354 (at -1.86546494 0.07792198 0.68651137)
iface= 1, ipnt= 171 (Z): anal= -0.25882465, fd= -0.25901991, err= 0.00019526 (at -0.80033748 0.05587352 -0.86498012)
iface= 1, ipnt= 172 (Z): anal= -0.25810757, fd= -0.25835126, err= 0.00024369 (at -0.80915257 0.12247311 -0.85827402)
iface= 1, ipnt= 198 (Z): anal= 0.25810755, fd= 0.25835123, err= -0.00024369 (at -0.80915255 0.12247336 0.85827399)
iface= 1, ipnt= 199 (Z): anal= 0.25882465, fd= 0.25901991, err= -0.00019526 (at -0.80033747 0.05587361 0.86498011)
...too many errors to list
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)
iface= 3, ipnt= 136 (Z): anal= 0.52491833, fd= 0.52478838, err= 0.00012995 (at -1.87663444 -0.37850475 0.63622197)
iface= 3, ipnt= 159 (Z): anal= -0.52491810, fd= -0.52478814, err= -0.00012995 (at -1.87663428 -0.37850515 -0.63622188)
iface= 3, ipnt= 161 (Z): anal= -0.59197021, fd= -0.59239978, err= 0.00042957 (at -1.86952763 -0.16292498 -0.67877755)
iface= 3, ipnt= 162 (Z): anal= -0.60186092, fd= -0.60234446, err= 0.00048354 (at -1.86546494 -0.07792198 -0.68651137)
iface= 3, ipnt= 171 (Z): anal= 0.25882465, fd= 0.25901991, err= -0.00019526 (at -0.80033748 -0.05587352 0.86498012)
iface= 3, ipnt= 172 (Z): anal= 0.25810757, fd= 0.25835126, err= -0.00024369 (at -0.80915257 -0.12247311 0.85827402)
iface= 3, ipnt= 198 (Z): anal= -0.25810755, fd= -0.25835123, err= 0.00024369 (at -0.80915255 -0.12247336 -0.85827399)
iface= 3, ipnt= 199 (Z): anal= -0.25882465, fd= -0.25901991, err= 0.00019526 (at -0.80033747 -0.05587361 -0.86498011)
...too many errors to list
d(Face)/d(width) check complete with 272 total errors (errmax= 6.6440e-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= 133 (Z): anal= -0.36470572, fd= -0.36485058, err= 0.00014486 (at -1.86546499 0.07792190 -0.68651137)
iface= 1, ipnt= 134 (Z): anal= -0.35677534, fd= -0.35690308, err= 0.00012774 (at -1.86952774 0.16292480 -0.67877755)
iface= 1, ipnt= 161 (Z): anal= 0.35677535, fd= 0.35690310, err= -0.00012774 (at -1.86952763 0.16292498 0.67877755)
iface= 1, ipnt= 162 (Z): anal= 0.36470573, fd= 0.36485059, err= -0.00014486 (at -1.86546494 0.07792198 0.68651137)
iface= 1, ipnt= 171 (Z): anal= -0.70958843, fd= -0.70992693, err= 0.00033850 (at -0.80033748 0.05587352 -0.86498012)
iface= 1, ipnt= 172 (Z): anal= -0.69666692, fd= -0.69708261, err= 0.00041569 (at -0.80915257 0.12247311 -0.85827402)
iface= 1, ipnt= 173 (Z): anal= -0.66418389, fd= -0.66433552, err= 0.00015162 (at -0.81572851 0.22887134 -0.84097621)
iface= 1, ipnt= 197 (Z): anal= 0.66418370, fd= 0.66433532, err= -0.00015162 (at -0.81572848 0.22887188 0.84097611)
iface= 1, ipnt= 198 (Z): anal= 0.69666688, fd= 0.69708257, err= -0.00041569 (at -0.80915255 0.12247336 0.85827399)
iface= 1, ipnt= 199 (Z): anal= 0.70958843, fd= 0.70992693, err= -0.00033850 (at -0.80033747 0.05587361 0.86498011)
...too many errors to list
iface= 2, ipnt= 133 (Z): anal= 0.37112486, fd= 0.37127227, err= -0.00014741 (at 1.86546467 0.05364987 0.99694842)
iface= 2, ipnt= 134 (Z): anal= 0.35064319, fd= 0.35076874, err= -0.00012555 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 161 (Z): anal= -0.35064320, fd= -0.35076875, err= 0.00012555 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 162 (Z): anal= -0.37112486, fd= -0.37127227, err= 0.00014741 (at 1.86546472 0.05364982 -0.99694843)
iface= 2, ipnt= 171 (Z): anal= 0.72812173, fd= 0.72846907, err= -0.00034734 (at 0.80033723 0.04839481 0.99843093)
iface= 2, ipnt= 172 (Z): anal= 0.70921154, fd= 0.70963472, err= -0.00042318 (at 0.80915206 0.10592429 0.99245491)
iface= 2, ipnt= 198 (Z): anal= -0.70921160, fd= -0.70963477, err= 0.00042318 (at 0.80915208 0.10592413 -0.99245493)
iface= 2, ipnt= 199 (Z): anal= -0.72812174, fd= -0.72846908, err= 0.00034734 (at 0.80033724 0.04839475 -0.99843093)
iface= 2, ipnt= 302 (Z): anal= 0.28908941, fd= 0.28919019, err= -0.00010078 (at 2.11263432 0.05304636 0.99662529)
iface= 2, ipnt= 309 (Z): anal= 0.32991283, fd= 0.33003634, err= -0.00012351 (at 1.98948963 0.05338991 0.99678810)
...too many errors to list
iface= 3, ipnt= 133 (Z): anal= 0.36470572, fd= 0.36485058, err= -0.00014486 (at -1.86546499 -0.07792190 0.68651137)
iface= 3, ipnt= 134 (Z): anal= 0.35677534, fd= 0.35690308, err= -0.00012774 (at -1.86952774 -0.16292480 0.67877755)
iface= 3, ipnt= 161 (Z): anal= -0.35677535, fd= -0.35690310, err= 0.00012774 (at -1.86952763 -0.16292498 -0.67877755)
iface= 3, ipnt= 162 (Z): anal= -0.36470573, fd= -0.36485059, err= 0.00014486 (at -1.86546494 -0.07792198 -0.68651137)
iface= 3, ipnt= 171 (Z): anal= 0.70958843, fd= 0.70992693, err= -0.00033850 (at -0.80033748 -0.05587352 0.86498012)
iface= 3, ipnt= 172 (Z): anal= 0.69666692, fd= 0.69708261, err= -0.00041569 (at -0.80915257 -0.12247311 0.85827402)
iface= 3, ipnt= 173 (Z): anal= 0.66418389, fd= 0.66433552, err= -0.00015162 (at -0.81572851 -0.22887134 0.84097621)
iface= 3, ipnt= 197 (Z): anal= -0.66418370, fd= -0.66433532, err= 0.00015162 (at -0.81572848 -0.22887188 -0.84097611)
iface= 3, ipnt= 198 (Z): anal= -0.69666688, fd= -0.69708257, err= 0.00041569 (at -0.80915255 -0.12247336 -0.85827399)
iface= 3, ipnt= 199 (Z): anal= -0.70958843, fd= -0.70992693, err= 0.00033850 (at -0.80033747 -0.05587361 -0.86498011)
...too many errors to list
iface= 4, ipnt= 133 (Z): anal= -0.37112486, fd= -0.37127227, err= 0.00014741 (at 1.86546467 -0.05364987 -0.99694842)
iface= 4, ipnt= 134 (Z): anal= -0.35064319, fd= -0.35076874, err= 0.00012555 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 161 (Z): anal= 0.35064320, fd= 0.35076875, err= -0.00012555 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 162 (Z): anal= 0.37112486, fd= 0.37127227, err= -0.00014741 (at 1.86546472 -0.05364982 0.99694843)
iface= 4, ipnt= 171 (Z): anal= -0.72812173, fd= -0.72846907, err= 0.00034734 (at 0.80033723 -0.04839481 -0.99843093)
iface= 4, ipnt= 172 (Z): anal= -0.70921154, fd= -0.70963472, err= 0.00042318 (at 0.80915206 -0.10592429 -0.99245491)
iface= 4, ipnt= 198 (Z): anal= 0.70921160, fd= 0.70963477, err= -0.00042318 (at 0.80915208 -0.10592413 0.99245493)
iface= 4, ipnt= 199 (Z): anal= 0.72812174, fd= 0.72846908, err= -0.00034734 (at 0.80033724 -0.04839475 0.99843093)
iface= 4, ipnt= 302 (Z): anal= -0.28908941, fd= -0.28919019, err= 0.00010078 (at 2.11263432 -0.05304636 -0.99662529)
iface= 4, ipnt= 309 (Z): anal= -0.32991283, fd= -0.33003634, err= 0.00012351 (at 1.98948963 -0.05338991 -0.99678810)
...too many errors to list
d(Face)/d(width) check complete with 524 total errors (errmax= 6.8330e-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= 133 (Z): anal= 0.61245396, fd= 0.61294600, err= -0.00049205 (at 1.86546467 0.05364987 0.99694842)
iface= 2, ipnt= 134 (Y): anal= 0.13944359, fd= 0.13954478, err= -0.00010119 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 134 (Z): anal= 0.58179514, fd= 0.58221733, err= -0.00042219 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 161 (Y): anal= 0.13944350, fd= 0.13954469, err= -0.00010119 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 161 (Z): anal= -0.58179523, fd= -0.58221742, err= 0.00042219 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 162 (Z): anal= -0.61245398, fd= -0.61294603, err= 0.00049205 (at 1.86546472 0.05364982 -0.99694843)
iface= 2, ipnt= 171 (Z): anal= 0.26558462, fd= 0.26578498, err= -0.00020036 (at 0.80033723 0.04839481 0.99843093)
iface= 2, ipnt= 172 (Z): anal= 0.26275499, fd= 0.26300307, err= -0.00024808 (at 0.80915206 0.10592429 0.99245491)
iface= 2, ipnt= 198 (Z): anal= -0.26275502, fd= -0.26300310, err= 0.00024808 (at 0.80915208 0.10592413 -0.99245493)
iface= 2, ipnt= 199 (Z): anal= -0.26558463, fd= -0.26578499, err= 0.00020036 (at 0.80033724 0.04839475 -0.99843093)
...too many errors to list
iface= 4, ipnt= 133 (Z): anal= -0.61245396, fd= -0.61294600, err= 0.00049205 (at 1.86546467 -0.05364987 -0.99694842)
iface= 4, ipnt= 134 (Y): anal= -0.13944359, fd= -0.13954478, err= 0.00010119 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 134 (Z): anal= -0.58179514, fd= -0.58221733, err= 0.00042219 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 161 (Y): anal= -0.13944350, fd= -0.13954469, err= 0.00010119 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 161 (Z): anal= 0.58179523, fd= 0.58221742, err= -0.00042219 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 162 (Z): anal= 0.61245398, fd= 0.61294603, err= -0.00049205 (at 1.86546472 -0.05364982 0.99694843)
iface= 4, ipnt= 171 (Z): anal= -0.26558462, fd= -0.26578498, err= 0.00020036 (at 0.80033723 -0.04839481 -0.99843093)
iface= 4, ipnt= 172 (Z): anal= -0.26275499, fd= -0.26300307, err= 0.00024808 (at 0.80915206 -0.10592429 -0.99245491)
iface= 4, ipnt= 198 (Z): anal= 0.26275502, fd= 0.26300310, err= -0.00024808 (at 0.80915208 -0.10592413 0.99245493)
iface= 4, ipnt= 199 (Z): anal= 0.26558463, fd= 0.26578499, err= -0.00020036 (at 0.80033724 -0.04839475 0.99843093)
...too many errors to list
d(Face)/d(width) check complete with 272 total errors (errmax= 6.6104e-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= 5.9603e-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= 6.2120e-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 -> 0.197 sec
Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m7.093s
user 0m7.101s
sys 0m0.024s
++++ set +x
data/basic/designF0bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 104 / 180 )
data/basic/designF1bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4976e-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= 2.7210e-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= 4.4976e-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= 4.4976e-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= 4.0770e-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= 1.3863e-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= 4.4976e-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= 4.4976e-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= 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)
iface= 1, ipnt= 217 (Z): anal= -0.30065285, fd= -0.30080706, err= 0.00015421 (at -0.93750016 0.09245817 -0.83717292)
iface= 1, ipnt= 218 (Z): anal= -0.33085510, fd= -0.33103685, err= 0.00018175 (at -1.03125016 0.09244554 -0.82158263)
iface= 1, ipnt= 219 (Z): anal= -0.36107613, fd= -0.36128667, err= 0.00021054 (at -1.12500015 0.09250411 -0.80602167)
iface= 1, ipnt= 220 (Z): anal= -0.39131402, fd= -0.39155434, err= 0.00024031 (at -1.21875014 0.09262698 -0.79048783)
iface= 1, ipnt= 221 (Z): anal= -0.42156672, fd= -0.42183756, err= 0.00027084 (at -1.31250013 0.09280728 -0.77497894)
iface= 1, ipnt= 222 (Z): anal= -0.45183207, fd= -0.45213394, err= 0.00030188 (at -1.40625013 0.09303810 -0.75949279)
iface= 1, ipnt= 223 (Z): anal= -0.48210785, fd= -0.48244102, err= 0.00033317 (at -1.50000012 0.09331256 -0.74402720)
iface= 1, ipnt= 224 (Z): anal= -0.51239174, fd= -0.51275622, err= 0.00036449 (at -1.59375011 0.09362377 -0.72857997)
...too many errors to list
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)
iface= 2, ipnt= 217 (Z): anal= 0.30065285, fd= 0.30080706, err= -0.00015421 (at -0.93750016 -0.09245817 0.83717292)
iface= 2, ipnt= 218 (Z): anal= 0.33085510, fd= 0.33103685, err= -0.00018175 (at -1.03125016 -0.09244554 0.82158263)
iface= 2, ipnt= 219 (Z): anal= 0.36107613, fd= 0.36128667, err= -0.00021054 (at -1.12500015 -0.09250411 0.80602167)
iface= 2, ipnt= 220 (Z): anal= 0.39131402, fd= 0.39155434, err= -0.00024031 (at -1.21875014 -0.09262698 0.79048783)
iface= 2, ipnt= 221 (Z): anal= 0.42156672, fd= 0.42183756, err= -0.00027084 (at -1.31250013 -0.09280728 0.77497894)
iface= 2, ipnt= 222 (Z): anal= 0.45183207, fd= 0.45213394, err= -0.00030188 (at -1.40625013 -0.09303810 0.75949279)
iface= 2, ipnt= 223 (Z): anal= 0.48210785, fd= 0.48244102, err= -0.00033317 (at -1.50000012 -0.09331256 0.74402720)
iface= 2, ipnt= 224 (Z): anal= 0.51239174, fd= 0.51275622, err= -0.00036449 (at -1.59375011 -0.09362377 0.72857997)
...too many errors to list
d(Face)/d(width) check complete with 248 total errors (errmax= 6.6670e-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= 176 (Y): anal= 0.17748753, fd= 0.17761410, err= -0.00012657 (at 2.90624999 0.05061203 -0.99565583)
iface= 1, ipnt= 176 (Z): anal= -0.92854584, fd= -0.92920801, err= 0.00066216 (at 2.90624999 0.05061203 -0.99565583)
iface= 1, ipnt= 177 (Y): anal= 0.16622160, fd= 0.16634339, err= -0.00012180 (at 2.81249998 0.05237049 -0.99704909)
iface= 1, ipnt= 177 (Z): anal= -0.89777283, fd= -0.89843065, err= 0.00065783 (at 2.81249998 0.05237049 -0.99704909)
iface= 1, ipnt= 178 (Y): anal= 0.15513338, fd= 0.15524992, err= -0.00011654 (at 2.71874997 0.05426760 -0.99925640)
iface= 1, ipnt= 178 (Z): anal= -0.86513600, fd= -0.86578590, err= 0.00064990 (at 2.71874997 0.05426760 -0.99925640)
iface= 1, ipnt= 179 (Y): anal= 0.14430691, fd= 0.14441783, err= -0.00011092 (at 2.62499996 0.05628742 -1.00218381)
iface= 1, ipnt= 179 (Z): anal= -0.83086372, fd= -0.83150238, err= 0.00063866 (at 2.62499996 0.05628742 -1.00218381)
iface= 1, ipnt= 180 (Y): anal= 0.13380610, fd= 0.13391116, err= -0.00010506 (at 2.53124995 0.05841404 -1.00573742)
iface= 1, ipnt= 180 (Z): anal= -0.79517991, fd= -0.79580426, err= 0.00062435 (at 2.53124995 0.05841404 -1.00573742)
...too many errors to list
iface= 2, ipnt= 176 (Y): anal= -0.17748753, fd= -0.17761410, err= 0.00012657 (at 2.90624999 -0.05061203 0.99565583)
iface= 2, ipnt= 176 (Z): anal= 0.92854584, fd= 0.92920801, err= -0.00066216 (at 2.90624999 -0.05061203 0.99565583)
iface= 2, ipnt= 177 (Y): anal= -0.16622160, fd= -0.16634339, err= 0.00012180 (at 2.81249998 -0.05237049 0.99704909)
iface= 2, ipnt= 177 (Z): anal= 0.89777283, fd= 0.89843065, err= -0.00065783 (at 2.81249998 -0.05237049 0.99704909)
iface= 2, ipnt= 178 (Y): anal= -0.15513338, fd= -0.15524992, err= 0.00011654 (at 2.71874997 -0.05426760 0.99925640)
iface= 2, ipnt= 178 (Z): anal= 0.86513600, fd= 0.86578590, err= -0.00064990 (at 2.71874997 -0.05426760 0.99925640)
iface= 2, ipnt= 179 (Y): anal= -0.14430691, fd= -0.14441783, err= 0.00011092 (at 2.62499996 -0.05628742 1.00218381)
iface= 2, ipnt= 179 (Z): anal= 0.83086372, fd= 0.83150238, err= -0.00063866 (at 2.62499996 -0.05628742 1.00218381)
iface= 2, ipnt= 180 (Y): anal= -0.13380610, fd= -0.13391116, err= 0.00010506 (at 2.53124995 -0.05841404 1.00573742)
iface= 2, ipnt= 180 (Z): anal= 0.79517991, fd= 0.79580426, err= -0.00062435 (at 2.53124995 -0.05841404 1.00573742)
...too many errors to list
d(Face)/d(width) check complete with 276 total errors (errmax= 6.6216e-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= 4.4976e-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= 4.4976e-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= 4.4976e-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= 4.4911e-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= 4.5188e-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= 3.8367e-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 -> 0.220 sec
Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions
real 0m2.558s
user 0m2.455s
sys 0m0.023s
++++ set +x
data/basic/designF1bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 105 / 180 )
data/basic/designF1rr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1rr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.7864e-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= 4.6960e-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= 9.6507e-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= 3.2465e-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= 4.1015e-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= 1.7328e-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= 5.4622e-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= 9.9856e-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= 1.6510e-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= 1.7328e-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= 1.7328e-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= 293 (Z): anal= 0.57126925, fd= 0.57115135, err= 0.00011790 (at -1.82343346 0.41408124 0.65799149)
iface= 1, ipnt= 307 (Z): anal= -0.69124858, fd= -0.69110658, err= -0.00014200 (at -2.13622388 0.40709951 -0.59525276)
iface= 1, ipnt= 316 (Z): anal= -0.85478400, fd= -0.85461096, err= -0.00017304 (at -2.79165903 0.38880312 -0.48749859)
iface= 1, ipnt= 317 (Z): anal= 0.85478400, fd= 0.85461096, err= 0.00017304 (at -2.79165903 0.38880312 0.48749859)
iface= 1, ipnt= 320 (Z): anal= -0.78478251, fd= -0.78462222, err= -0.00016029 (at -2.44065950 0.39896253 -0.54042977)
iface= 1, ipnt= 321 (Z): anal= 0.78478251, fd= 0.78462222, err= 0.00016029 (at -2.44065950 0.39896253 0.54042977)
iface= 1, ipnt= 333 (Z): anal= 0.73631890, fd= 0.73617862, err= 0.00014028 (at -4.10342580 0.34486969 0.37700692)
iface= 1, ipnt= 337 (Z): anal= -0.87766261, fd= -0.87748707, err= -0.00017554 (at -3.13883810 0.37860814 -0.44734452)
iface= 1, ipnt= 358 (Z): anal= -0.79579783, fd= -0.79564402, err= -0.00015382 (at -3.85151548 0.35529190 -0.39232598)
iface= 1, ipnt= 366 (Z): anal= -0.71950102, fd= -0.71936446, err= -0.00013656 (at -4.16605655 0.34200442 -0.37329527)
...too many errors to list
iface= 2, ipnt= 296 (Z): anal= -0.57126925, fd= -0.57115135, err= -0.00011790 (at -1.82343346 -0.41408124 -0.65799149)
iface= 2, ipnt= 310 (Z): anal= 0.69124858, fd= 0.69110658, err= 0.00014200 (at -2.13622388 -0.40709951 0.59525276)
iface= 2, ipnt= 317 (Z): anal= 0.85478400, fd= 0.85461096, err= 0.00017304 (at -2.79165903 -0.38880312 0.48749859)
iface= 2, ipnt= 319 (Z): anal= -0.72478907, fd= -0.72464044, err= -0.00014863 (at -2.23584302 -0.40454616 -0.57651173)
iface= 2, ipnt= 324 (Z): anal= 0.78478251, fd= 0.78462222, err= 0.00016029 (at -2.44065950 -0.39896253 0.54042977)
iface= 2, ipnt= 329 (Z): anal= -0.82028037, fd= -0.82012074, err= -0.00015963 (at -3.72541137 -0.35995426 -0.40046221)
iface= 2, ipnt= 334 (Z): anal= -0.73631890, fd= -0.73617862, err= -0.00014028 (at -4.10342580 -0.34486969 -0.37700692)
iface= 2, ipnt= 341 (Z): anal= -0.86753710, fd= -0.86736211, err= -0.00017500 (at -2.90476073 -0.38547396 -0.47306089)
iface= 2, ipnt= 350 (Z): anal= -0.86052616, fd= -0.86035632, err= -0.00016984 (at -3.44381281 -0.36937970 -0.42063716)
iface= 2, ipnt= 355 (Z): anal= 0.56156828, fd= 0.56145234, err= 0.00011593 (at -1.79998242 -0.41452491 0.66286997)
...too many errors to list
d(Face)/d(width) check complete with 132 total errors (errmax= 6.3184e-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= 283 (Z): anal= -0.79825214, fd= -0.79803771, err= -0.00021443 (at -0.90340007 0.41782557 -0.84182619)
iface= 1, ipnt= 287 (Z): anal= 0.68356531, fd= 0.68337349, err= 0.00019183 (at -1.25557428 0.42026792 0.77645291)
iface= 1, ipnt= 290 (Z): anal= 0.85705461, fd= 0.85684062, err= 0.00021399 (at -0.52782922 0.40846752 0.89415314)
iface= 1, ipnt= 293 (Z): anal= 0.43934866, fd= 0.43921979, err= 0.00012886 (at -1.82343346 0.41408124 0.65799149)
iface= 1, ipnt= 298 (Z): anal= -0.85437138, fd= -0.85415575, err= -0.00021564 (at -0.57240285 0.40996695 -0.88914762)
iface= 1, ipnt= 302 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 0.37054053 0.92479867)
iface= 1, ipnt= 303 (Z): anal= -0.59245460, fd= -0.59228493, err= -0.00016967 (at -1.47882443 0.41910266 -0.73047288)
iface= 1, ipnt= 304 (Z): anal= -0.83427835, fd= -0.83409251, err= -0.00018584 (at -0.18746039 0.39351158 -0.91985746)
iface= 1, ipnt= 313 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867)
iface= 1, ipnt= 326 (Z): anal= 0.80103464, fd= 0.80081982, err= 0.00021482 (at -0.89242031 0.41765518 0.84365147)
...too many errors to list
iface= 2, ipnt= 286 (Z): anal= 0.79825214, fd= 0.79803771, err= 0.00021443 (at -0.90340007 -0.41782557 0.84182619)
iface= 2, ipnt= 289 (Z): anal= -0.68356531, fd= -0.68337349, err= -0.00019183 (at -1.25557428 -0.42026792 -0.77645291)
iface= 2, ipnt= 293 (Z): anal= -0.85705461, fd= -0.85684062, err= -0.00021399 (at -0.52782922 -0.40846752 -0.89415314)
iface= 2, ipnt= 296 (Z): anal= -0.43934866, fd= -0.43921979, err= -0.00012886 (at -1.82343346 -0.41408124 -0.65799149)
iface= 2, ipnt= 301 (Z): anal= 0.85437138, fd= 0.85415575, err= 0.00021564 (at -0.57240285 -0.40996695 0.88914762)
iface= 2, ipnt= 305 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 -0.37054053 -0.92479867)
iface= 2, ipnt= 306 (Z): anal= 0.59245460, fd= 0.59228493, err= 0.00016967 (at -1.47882443 -0.41910266 0.73047288)
iface= 2, ipnt= 307 (Z): anal= 0.83427835, fd= 0.83409251, err= 0.00018584 (at -0.18746039 -0.39351158 0.91985746)
iface= 2, ipnt= 309 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 -0.37054053 0.92479867)
iface= 2, ipnt= 330 (Z): anal= -0.80103464, fd= -0.80081982, err= -0.00021482 (at -0.89242031 -0.41765518 -0.84365147)
...too many errors to list
d(Face)/d(width) check complete with 160 total errors (errmax= 6.0702e-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= 0.55591335, fd= 0.55581046, err= 0.00010289 (at 2.27367164 0.22441607 0.94862318)
iface= 1, ipnt= 454 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 0.20417273 0.93775604)
iface= 1, ipnt= 472 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 0.21427572 0.94444279)
iface= 1, ipnt= 478 (Z): anal= 0.51819611, fd= 0.51808858, err= 0.00010752 (at 3.41285977 0.17807909 0.89883815)
iface= 1, ipnt= 483 (Z): anal= -0.55986332, fd= -0.55975689, err= -0.00010643 (at 2.46683461 0.21427572 -0.94444279)
iface= 1, ipnt= 496 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 0.19489832 0.92849693)
iface= 1, ipnt= 508 (Z): anal= -0.53775077, fd= -0.53764140, err= -0.00010937 (at 3.13884908 0.18653484 -0.91637996)
iface= 1, ipnt= 512 (Z): anal= -0.55154913, fd= -0.55143945, err= -0.00010968 (at 2.87625487 0.19600909 -0.92980452)
iface= 1, ipnt= 536 (Z): anal= -0.49925687, fd= -0.49915178, err= -0.00010509 (at 3.63109888 0.17198068 -0.88191257)
iface= 1, ipnt= 562 (Z): anal= 0.49925687, fd= 0.49915178, err= 0.00010509 (at 3.63109888 0.17198068 0.88191257)
...too many errors to list
iface= 2, ipnt= 453 (Z): anal= -0.55938826, fd= -0.55928264, err= -0.00010562 (at 2.41463506 -0.21691990 -0.94574520)
iface= 2, ipnt= 454 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 -0.20417273 0.93775604)
iface= 2, ipnt= 456 (Z): anal= -0.55789201, fd= -0.55778325, err= -0.00010877 (at 2.68106639 -0.20417273 -0.93775604)
iface= 2, ipnt= 458 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 -0.22863558 -0.94978229)
iface= 2, ipnt= 480 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 -0.21427572 0.94444279)
iface= 2, ipnt= 495 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 -0.19489832 0.92849693)
iface= 2, ipnt= 502 (Z): anal= -0.55094450, fd= -0.55083480, err= -0.00010970 (at 2.89049285 -0.19545192 -0.92915626)
iface= 2, ipnt= 507 (Z): anal= -0.53680876, fd= -0.53669945, err= -0.00010930 (at 3.15381063 -0.18604146 -0.91551963)
iface= 2, ipnt= 509 (Z): anal= 0.54134100, fd= 0.54123142, err= 0.00010958 (at 3.07936620 -0.18854067 0.91969557)
iface= 2, ipnt= 516 (Z): anal= -0.51819611, fd= -0.51808858, err= -0.00010752 (at 3.41285977 -0.17807909 -0.89883815)
...too many errors to list
d(Face)/d(width) check complete with 116 total errors (errmax= 5.6817e-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= 1.7328e-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= 7.1039e-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= 2.6178e-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= 2.3560e-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= 1.7325e-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= 1.7423e-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 -> 0.250 sec
Sensitivity checks complete with 408 total errors (max config err= 6.3184e-04) with 0 suppressions
real 0m6.681s
user 0m6.751s
sys 0m0.022s
++++ set +x
data/basic/designF1rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 106 / 180 )
data/basic/designF1rs.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1rs.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.6699e-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= 4.6937e-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= 9.5519e-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= 3.9942e-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= 3.1171e-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= 1.0661e-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= 5.3430e-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= 1.0807e-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= 1.5833e-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= 1.0661e-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= 1.0661e-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= 318 (Z): anal= 0.62831005, fd= 0.62818064, err= 0.00012941 (at -1.96586948 0.41112742 0.62880376)
iface= 1, ipnt= 326 (Z): anal= -0.50262957, fd= -0.50252561, err= -0.00010395 (at -1.66082120 0.41687350 -0.69208640)
iface= 1, ipnt= 331 (Z): anal= -0.75609893, fd= -0.75594417, err= -0.00015476 (at -2.33727824 0.40182876 -0.55820514)
iface= 1, ipnt= 332 (Z): anal= 0.84532020, fd= 0.84515437, err= 0.00016583 (at -3.56841958 0.36535267 0.41129937)
iface= 1, ipnt= 334 (Z): anal= 0.74074715, fd= 0.74059538, err= 0.00015176 (at -2.28632549 0.40320701 0.56729808)
iface= 1, ipnt= 336 (Z): anal= -0.87534802, fd= -0.87517215, err= -0.00017587 (at -3.02049026 0.38207572 -0.45966244)
iface= 1, ipnt= 341 (Z): anal= 0.84225901, fd= 0.84208810, err= 0.00017091 (at -2.70847939 0.39124556 0.49895076)
iface= 1, ipnt= 349 (Z): anal= -0.76770152, fd= -0.76755418, err= -0.00014734 (at -3.97765047 0.35027792 -0.38454435)
iface= 1, ipnt= 352 (Z): anal= -0.83260645, fd= -0.83243725, err= -0.00016920 (at -2.65377995 0.39284437 -0.50685994)
iface= 1, ipnt= 354 (Z): anal= 0.87677540, fd= 0.87660046, err= 0.00017494 (at -3.19889009 0.37683704 0.44156351)
...too many errors to list
iface= 2, ipnt= 314 (Z): anal= -0.62831005, fd= -0.62818064, err= -0.00012941 (at -1.96586948 -0.41112742 -0.62880376)
iface= 2, ipnt= 320 (Z): anal= -0.87645072, fd= -0.87627482, err= -0.00017590 (at -3.04984244 -0.38121649 -0.45648416)
iface= 2, ipnt= 325 (Z): anal= 0.50262957, fd= 0.50252561, err= 0.00010395 (at -1.66082120 -0.41687350 0.69208640)
iface= 2, ipnt= 327 (Z): anal= -0.74074715, fd= -0.74059538, err= -0.00015176 (at -2.28632549 -0.40320701 -0.56729808)
iface= 2, ipnt= 330 (Z): anal= 0.75609893, fd= 0.75594417, err= 0.00015476 (at -2.33727824 -0.40182876 0.55820514)
iface= 2, ipnt= 339 (Z): anal= 0.87534802, fd= 0.87517215, err= 0.00017587 (at -3.02049026 -0.38207572 0.45966244)
iface= 2, ipnt= 340 (Z): anal= -0.84225901, fd= -0.84208810, err= -0.00017091 (at -2.70847939 -0.39124556 -0.49895076)
iface= 2, ipnt= 349 (Z): anal= -0.66506952, fd= -0.66494474, err= -0.00012477 (at -4.35233534 -0.33270005 -0.36222298)
iface= 2, ipnt= 351 (Z): anal= 0.83260645, fd= 0.83243725, err= 0.00016920 (at -2.65377995 -0.39284437 0.50685994)
iface= 2, ipnt= 355 (Z): anal= -0.86052616, fd= -0.86035632, err= -0.00016984 (at -3.44381281 -0.36937970 -0.42063716)
...too many errors to list
d(Face)/d(width) check complete with 144 total errors (errmax= 5.8615e-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= 308 (Z): anal= -0.74664218, fd= -0.74643675, err= -0.00020543 (at -1.07910380 0.41975494 -0.81069069)
iface= 1, ipnt= 318 (Z): anal= 0.37530097, fd= 0.37519002, err= 0.00011094 (at -1.96586948 0.41112742 0.62880376)
iface= 1, ipnt= 319 (Z): anal= 0.83914761, fd= 0.83892972, err= 0.00021789 (at -0.70535544 0.41381057 0.87218122)
iface= 1, ipnt= 324 (Z): anal= 0.61157088, fd= 0.61139639, err= 0.00017449 (at -1.43385114 0.41948615 0.73988727)
iface= 1, ipnt= 325 (Z): anal= -0.83182750, fd= -0.83160970, err= -0.00021780 (at -0.74947101 0.41487988 -0.86591613)
iface= 1, ipnt= 326 (Z): anal= -0.51254892, fd= -0.51240013, err= -0.00014879 (at -1.66082120 0.41687350 -0.69208640)
iface= 1, ipnt= 327 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 0.35876683 0.93049606)
iface= 1, ipnt= 329 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 0.35876683 -0.93049606)
iface= 1, ipnt= 338 (Z): anal= 0.81435767, fd= 0.81418439, err= 0.00017328 (at -0.09434719 0.38835435 0.92278171)
iface= 1, ipnt= 342 (Z): anal= 0.75377551, fd= 0.75356868, err= 0.00020683 (at -1.05712022 0.41959372 0.81476816)
...too many errors to list
iface= 2, ipnt= 305 (Z): anal= 0.74664218, fd= 0.74643675, err= 0.00020543 (at -1.07910380 -0.41975494 0.81069069)
iface= 2, ipnt= 314 (Z): anal= -0.37530097, fd= -0.37519002, err= -0.00011094 (at -1.96586948 -0.41112742 -0.62880376)
iface= 2, ipnt= 315 (Z): anal= -0.83914761, fd= -0.83892972, err= -0.00021789 (at -0.70535544 -0.41381057 -0.87218122)
iface= 2, ipnt= 318 (Z): anal= -0.61157088, fd= -0.61139639, err= -0.00017449 (at -1.43385114 -0.41948615 -0.73988727)
iface= 2, ipnt= 321 (Z): anal= 0.83182750, fd= 0.83160970, err= 0.00021780 (at -0.74947101 -0.41487988 0.86591613)
iface= 2, ipnt= 325 (Z): anal= 0.51254892, fd= 0.51240013, err= 0.00014879 (at -1.66082120 -0.41687350 0.69208640)
iface= 2, ipnt= 331 (Z): anal= -0.81435767, fd= -0.81418439, err= -0.00017328 (at -0.09434719 -0.38835435 -0.92278171)
iface= 2, ipnt= 335 (Z): anal= -0.75377551, fd= -0.75356868, err= -0.00020683 (at -1.05712022 -0.41959372 -0.81476816)
iface= 2, ipnt= 337 (Z): anal= 0.85622096, fd= 0.85601651, err= 0.00020444 (at -0.37049325 -0.40232283 0.90887505)
iface= 2, ipnt= 343 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 -0.35876683 0.93049606)
...too many errors to list
d(Face)/d(width) check complete with 154 total errors (errmax= 8.0559e-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= 443 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 0.23870168 0.98637166)
iface= 1, ipnt= 444 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 0.24402927 -0.98836569)
iface= 1, ipnt= 461 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 0.22502430 -0.97717774)
iface= 1, ipnt= 466 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 0.20836425 0.95685869)
iface= 1, ipnt= 471 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 0.22047372 0.97268989)
iface= 1, ipnt= 485 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 0.19479324 0.93166247)
iface= 1, ipnt= 489 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 0.20081731 -0.94388312)
iface= 1, ipnt= 523 (Z): anal= -0.52113015, fd= -0.52102562, err= -0.00010453 (at 3.13352910 0.18278450 -0.90203738)
iface= 1, ipnt= 524 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 0.18278450 0.90203738)
iface= 1, ipnt= 667 (Z): anal= 0.65847555, fd= 0.65872922, err= -0.00025367 (at 1.77516584 0.13622063 1.04684148)
...too many errors to list
iface= 2, ipnt= 445 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 -0.24402927 -0.98836569)
iface= 2, ipnt= 447 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 -0.23870168 0.98637166)
iface= 2, ipnt= 461 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 -0.22502430 -0.97717774)
iface= 2, ipnt= 470 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 -0.20836425 0.95685869)
iface= 2, ipnt= 477 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 -0.22047372 0.97268989)
iface= 2, ipnt= 489 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 -0.19479324 0.93166247)
iface= 2, ipnt= 490 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 -0.20081731 -0.94388312)
iface= 2, ipnt= 529 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 -0.18278450 0.90203738)
iface= 2, ipnt= 542 (Z): anal= -0.52624267, fd= -0.52613698, err= -0.00010569 (at 3.08672661 -0.18578173 -0.91008972)
iface= 2, ipnt= 688 (Z): anal= -0.46589899, fd= -0.46604814, err= 0.00014915 (at 1.23308507 -0.15356653 -1.02593470)
...too many errors to list
d(Face)/d(width) check complete with 181 total errors (errmax= 5.0681e-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= 1.0661e-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= 7.1026e-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= 1.0661e-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=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= 1.5930e-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= 1.0471e-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=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= 1.0657e-09)
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 -> 0.252 sec
Sensitivity checks complete with 479 total errors (max config err= 8.0559e-04) with 0 suppressions
real 0m6.670s
user 0m6.744s
sys 0m0.020s
++++ set +x
data/basic/designF1rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 107 / 180 )
data/basic/designF1sr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1sr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.6543e-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= 4.5229e-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= 7.7587e-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= 3.1885e-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= 4.0917e-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= 1.7328e-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= 4.5744e-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= 1.0535e-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= 1.6257e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 8.0320e-07)
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= 1.7328e-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= 1.7328e-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= 299 (Z): anal= 0.67153827, fd= 0.67139744, err= 0.00014083 (at -2.26200212 0.42378258 0.61294277)
iface= 1, ipnt= 306 (Z): anal= -0.54906580, fd= -0.54894920, err= -0.00011660 (at -1.92974036 0.43228911 -0.68157117)
iface= 1, ipnt= 310 (Z): anal= 0.53050894, fd= 0.53039610, err= 0.00011284 (at -1.88219500 0.43303856 0.69116831)
iface= 1, ipnt= 317 (Z): anal= 0.82951062, fd= 0.82934199, err= 0.00016863 (at -2.85213735 0.39353472 0.49099294)
iface= 1, ipnt= 324 (Z): anal= -0.75344962, fd= -0.75329347, err= -0.00015615 (at -2.52223959 0.41293528 -0.55852486)
iface= 1, ipnt= 332 (Z): anal= -0.85931285, fd= -0.85914172, err= -0.00017113 (at -3.11012379 0.37369005 -0.44097546)
iface= 1, ipnt= 346 (Z): anal= 0.86138978, fd= 0.86121899, err= 0.00017079 (at -3.15690804 0.36964650 0.43225157)
iface= 1, ipnt= 378 (Z): anal= 0.84045390, fd= 0.84029484, err= 0.00015906 (at -3.55321432 0.33046095 0.36226758)
iface= 1, ipnt= 380 (Z): anal= -0.84625724, fd= -0.84609606, err= -0.00016118 (at -3.50670678 0.33548440 -0.37014324)
iface= 1, ipnt= 440 (Z): anal= 0.76328606, fd= 0.76312816, err= 0.00015790 (at -2.55766066 0.41116146 0.55115628)
...too many errors to list
iface= 2, ipnt= 299 (Z): anal= -0.67153827, fd= -0.67139744, err= -0.00014083 (at -2.26200212 -0.42378258 -0.61294277)
iface= 2, ipnt= 306 (Z): anal= 0.54906580, fd= 0.54894920, err= 0.00011660 (at -1.92974036 -0.43228911 0.68157117)
iface= 2, ipnt= 310 (Z): anal= -0.53050894, fd= -0.53039610, err= -0.00011284 (at -1.88219500 -0.43303856 -0.69116831)
iface= 2, ipnt= 317 (Z): anal= -0.82951062, fd= -0.82934199, err= -0.00016863 (at -2.85213735 -0.39353472 -0.49099294)
iface= 2, ipnt= 324 (Z): anal= 0.75344962, fd= 0.75329347, err= 0.00015615 (at -2.52223959 -0.41293528 0.55852486)
iface= 2, ipnt= 332 (Z): anal= 0.85931285, fd= 0.85914172, err= 0.00017113 (at -3.11012379 -0.37369005 0.44097546)
iface= 2, ipnt= 346 (Z): anal= -0.86138978, fd= -0.86121899, err= -0.00017079 (at -3.15690804 -0.36964650 -0.43225157)
iface= 2, ipnt= 378 (Z): anal= -0.84045390, fd= -0.84029484, err= -0.00015906 (at -3.55321432 -0.33046095 -0.36226758)
iface= 2, ipnt= 380 (Z): anal= 0.84625724, fd= 0.84609606, err= 0.00016118 (at -3.50670678 -0.33548440 0.37014324)
iface= 2, ipnt= 440 (Z): anal= -0.76328606, fd= -0.76312816, err= -0.00015790 (at -2.55766066 -0.41116146 -0.55115628)
...too many errors to list
d(Face)/d(width) check complete with 110 total errors (errmax= 5.2125e-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= 302 (Z): anal= 0.80536564, fd= 0.80515016, err= 0.00021547 (at -0.92893354 0.42561341 0.85599603)
iface= 1, ipnt= 306 (Z): anal= -0.43646029, fd= -0.43633289, err= -0.00012740 (at -1.92974036 0.43228911 -0.68157117)
iface= 1, ipnt= 310 (Z): anal= 0.45789890, fd= 0.45776558, err= 0.00013332 (at -1.88219500 0.43303856 0.69116831)
iface= 1, ipnt= 311 (Z): anal= -0.61164895, fd= -0.61147490, err= -0.00017405 (at -1.52512461 0.43511915 -0.76013243)
iface= 1, ipnt= 313 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 0.37054053 0.92479867)
iface= 1, ipnt= 314 (Z): anal= 0.85734354, fd= 0.85712951, err= 0.00021403 (at -0.54737499 0.41181525 0.89848854)
iface= 1, ipnt= 316 (Z): anal= 0.64923664, fd= 0.64905329, err= 0.00018336 (at -1.42979347 0.43465341 0.77734874)
iface= 1, ipnt= 319 (Z): anal= -0.85861308, fd= -0.85840120, err= -0.00021189 (at -0.49971021 0.40970067 -0.90249769)
iface= 1, ipnt= 322 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867)
iface= 1, ipnt= 339 (Z): anal= 0.83190676, fd= 0.83172242, err= 0.00018435 (at -0.17827464 0.39330430 0.92085048)
...too many errors to list
iface= 2, ipnt= 302 (Z): anal= -0.80536564, fd= -0.80515016, err= -0.00021547 (at -0.92893354 -0.42561341 -0.85599603)
iface= 2, ipnt= 306 (Z): anal= 0.43646029, fd= 0.43633289, err= 0.00012740 (at -1.92974036 -0.43228911 0.68157117)
iface= 2, ipnt= 310 (Z): anal= -0.45789890, fd= -0.45776558, err= -0.00013332 (at -1.88219500 -0.43303856 -0.69116831)
iface= 2, ipnt= 311 (Z): anal= 0.61164895, fd= 0.61147490, err= 0.00017405 (at -1.52512461 -0.43511915 0.76013243)
iface= 2, ipnt= 313 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 -0.37054053 -0.92479867)
iface= 2, ipnt= 314 (Z): anal= -0.85734354, fd= -0.85712951, err= -0.00021403 (at -0.54737499 -0.41181525 -0.89848854)
iface= 2, ipnt= 316 (Z): anal= -0.64923664, fd= -0.64905329, err= -0.00018336 (at -1.42979347 -0.43465341 -0.77734874)
iface= 2, ipnt= 319 (Z): anal= 0.85861308, fd= 0.85840120, err= 0.00021189 (at -0.49971021 -0.40970067 0.90249769)
iface= 2, ipnt= 322 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 -0.37054053 0.92479867)
iface= 2, ipnt= 339 (Z): anal= -0.83190676, fd= -0.83172242, err= -0.00018435 (at -0.17827464 -0.39330430 -0.92085048)
...too many errors to list
d(Face)/d(width) check complete with 154 total errors (errmax= 8.1255e-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= 447 (Z): anal= 0.55492560, fd= 0.55482328, err= 0.00010232 (at 2.24843062 0.22581273 0.94904059)
iface= 1, ipnt= 454 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 0.22863558 -0.94978229)
iface= 1, ipnt= 459 (Z): anal= -0.55995618, fd= -0.55984929, err= -0.00010689 (at 2.49972597 0.21264632 -0.94355627)
iface= 1, ipnt= 462 (Z): anal= 0.55994996, fd= 0.55984316, err= 0.00010680 (at 2.49313103 0.21297075 0.94373810)
iface= 1, ipnt= 466 (Z): anal= 0.55723653, fd= 0.55712757, err= 0.00010896 (at 2.70849015 0.20296618 0.93674504)
iface= 1, ipnt= 467 (Z): anal= -0.55377046, fd= -0.55366094, err= -0.00010952 (at 2.81970601 0.19827315 -0.93228823)
iface= 1, ipnt= 472 (Z): anal= 0.54967695, fd= 0.54956721, err= 0.00010974 (at 2.91909150 0.19434833 0.92782647)
iface= 1, ipnt= 485 (Z): anal= -0.54176942, fd= -0.54165983, err= -0.00010960 (at 3.07197329 0.18879516 -0.92009612)
iface= 1, ipnt= 487 (Z): anal= -0.52359207, fd= -0.52348395, err= -0.00010812 (at 3.34351998 0.18011652 -0.90364662)
iface= 1, ipnt= 495 (Z): anal= 0.53867516, fd= 0.53856573, err= 0.00010943 (at 3.12392310 0.18703138 0.91722761)
...too many errors to list
iface= 2, ipnt= 447 (Z): anal= -0.55492560, fd= -0.55482328, err= -0.00010232 (at 2.24843062 -0.22581273 -0.94904059)
iface= 2, ipnt= 454 (Z): anal= 0.55260919, fd= 0.55250809, err= 0.00010110 (at 2.19829010 -0.22863558 0.94978229)
iface= 2, ipnt= 459 (Z): anal= 0.55995618, fd= 0.55984929, err= 0.00010689 (at 2.49972597 -0.21264632 0.94355627)
iface= 2, ipnt= 462 (Z): anal= -0.55994996, fd= -0.55984316, err= -0.00010680 (at 2.49313103 -0.21297075 -0.94373810)
iface= 2, ipnt= 466 (Z): anal= -0.55723653, fd= -0.55712757, err= -0.00010896 (at 2.70849015 -0.20296618 -0.93674504)
iface= 2, ipnt= 467 (Z): anal= 0.55377046, fd= 0.55366094, err= 0.00010952 (at 2.81970601 -0.19827315 0.93228823)
iface= 2, ipnt= 472 (Z): anal= -0.54967695, fd= -0.54956721, err= -0.00010974 (at 2.91909150 -0.19434833 -0.92782647)
iface= 2, ipnt= 485 (Z): anal= 0.54176942, fd= 0.54165983, err= 0.00010960 (at 3.07197329 -0.18879516 0.92009612)
iface= 2, ipnt= 487 (Z): anal= 0.52359207, fd= 0.52348395, err= 0.00010812 (at 3.34351998 -0.18011652 0.90364662)
iface= 2, ipnt= 495 (Z): anal= -0.53867516, fd= -0.53856573, err= -0.00010943 (at 3.12392310 -0.18703138 -0.91722761)
...too many errors to list
d(Face)/d(width) check complete with 138 total errors (errmax= 6.0946e-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= 1.7328e-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= 1.7328e-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= 2.6178e-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= 1.8882e-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= 1.7325e-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= 1.7423e-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 -> 0.239 sec
Sensitivity checks complete with 402 total errors (max config err= 8.1255e-04) with 0 suppressions
real 0m6.672s
user 0m6.789s
sys 0m0.022s
++++ set +x
data/basic/designF1sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 108 / 180 )
data/basic/designF1ss.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1ss.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.6687e-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= 4.5307e-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= 7.4895e-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= 3.9581e-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= 3.1259e-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= 8.0409e-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= 4.2623e-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= 1.0177e-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= 1.5627e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 8.0320e-07)
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= 8.0409e-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= 8.0409e-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= 335 (Z): anal= 0.73273722, fd= 0.73258484, err= 0.00015238 (at -2.45134794 0.41626844 0.57331815)
iface= 1, ipnt= 338 (Z): anal= -0.62097327, fd= -0.62084231, err= -0.00013096 (at -2.11973255 0.42813729 -0.64258240)
iface= 1, ipnt= 352 (Z): anal= -0.80147410, fd= -0.80130970, err= -0.00016440 (at -2.71095032 0.40263631 -0.51954077)
iface= 1, ipnt= 356 (Z): anal= 0.85425282, fd= 0.85408164, err= 0.00017119 (at -3.03987806 0.37950982 0.45427398)
iface= 1, ipnt= 366 (Z): anal= 0.60783044, fd= 0.60770208, err= 0.00012836 (at -2.08413367 0.42905820 0.64995163)
iface= 1, ipnt= 369 (Z): anal= -0.85931285, fd= -0.85914172, err= -0.00017113 (at -3.11012379 0.37369005 -0.44097546)
iface= 1, ipnt= 383 (Z): anal= 0.85979905, fd= 0.85963192, err= 0.00016713 (at -3.34369472 0.35223183 0.39843020)
iface= 1, ipnt= 403 (Z): anal= 0.80932534, fd= 0.80917641, err= 0.00014893 (at -3.73897074 0.30939769 0.33160335)
iface= 1, ipnt= 445 (Z): anal= -0.74160709, fd= -0.74147745, err= -0.00012964 (at -4.01688326 0.27524498 -0.28781713)
iface= 1, ipnt= 447 (Z): anal= -0.72189135, fd= -0.72174097, err= -0.00015037 (at -2.41587815 0.41782866 -0.58073586)
...too many errors to list
iface= 2, ipnt= 334 (Z): anal= -0.73273722, fd= -0.73258484, err= -0.00015238 (at -2.45134794 -0.41626844 -0.57331815)
iface= 2, ipnt= 335 (Z): anal= 0.62097327, fd= 0.62084231, err= 0.00013096 (at -2.11973255 -0.42813729 0.64258240)
iface= 2, ipnt= 352 (Z): anal= 0.80147410, fd= 0.80130970, err= 0.00016440 (at -2.71095032 -0.40263631 0.51954077)
iface= 2, ipnt= 354 (Z): anal= -0.81164274, fd= -0.81147672, err= -0.00016601 (at -2.75804716 -0.39973536 -0.50994527)
iface= 2, ipnt= 356 (Z): anal= -0.85425282, fd= -0.85408164, err= -0.00017119 (at -3.03987806 -0.37950982 -0.45427398)
iface= 2, ipnt= 366 (Z): anal= -0.60783044, fd= -0.60770208, err= -0.00012836 (at -2.08413367 -0.42905820 -0.64995163)
iface= 2, ipnt= 368 (Z): anal= 0.85931285, fd= 0.85914172, err= 0.00017113 (at -3.11012379 -0.37369005 0.44097546)
iface= 2, ipnt= 377 (Z): anal= -0.85979905, fd= -0.85963192, err= -0.00016713 (at -3.34369472 -0.35223183 -0.39843020)
iface= 2, ipnt= 386 (Z): anal= -0.80932534, fd= -0.80917641, err= -0.00014893 (at -3.73897074 -0.30939769 -0.33160335)
iface= 2, ipnt= 443 (Z): anal= 0.74160709, fd= 0.74147745, err= 0.00012964 (at -4.01688326 -0.27524498 0.28781713)
...too many errors to list
d(Face)/d(width) check complete with 109 total errors (errmax= 6.5200e-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= 337 (Z): anal= 0.75555182, fd= 0.75534475, err= 0.00020708 (at -1.11977683 0.43032532 0.82866588)
iface= 1, ipnt= 338 (Z): anal= -0.35012278, fd= -0.35001965, err= -0.00010313 (at -2.11973255 0.42813729 -0.64258240)
iface= 1, ipnt= 340 (Z): anal= 0.85609005, fd= 0.85588565, err= 0.00020440 (at -0.38059299 0.40405268 0.91111525)
iface= 1, ipnt= 343 (Z): anal= 0.53160738, fd= 0.53145411, err= 0.00015327 (at -1.71565790 0.43477606 0.72410062)
iface= 1, ipnt= 344 (Z): anal= -0.53160738, fd= -0.53145411, err= -0.00015327 (at -1.71565790 0.43477606 -0.72410062)
iface= 1, ipnt= 345 (Z): anal= -0.85861308, fd= -0.85840120, err= -0.00021189 (at -0.49971021 0.40970067 -0.90249769)
iface= 1, ipnt= 350 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 0.35876683 0.93049606)
iface= 1, ipnt= 360 (Z): anal= -0.83405576, fd= -0.83386997, err= -0.00018579 (at -0.19016841 0.39397540 -0.92045812)
iface= 1, ipnt= 363 (Z): anal= 0.78824558, fd= 0.78808710, err= 0.00015848 (at 0.00000379 0.38267578 0.92386559)
iface= 1, ipnt= 366 (Z): anal= 0.36631531, fd= 0.36620758, err= 0.00010773 (at -2.08413367 0.42905820 0.64995163)
...too many errors to list
iface= 2, ipnt= 335 (Z): anal= 0.35012278, fd= 0.35001965, err= 0.00010313 (at -2.11973255 -0.42813729 0.64258240)
iface= 2, ipnt= 337 (Z): anal= -0.75555182, fd= -0.75534475, err= -0.00020708 (at -1.11977683 -0.43032532 -0.82866588)
iface= 2, ipnt= 338 (Z): anal= 0.53160738, fd= 0.53145411, err= 0.00015327 (at -1.71565790 -0.43477606 0.72410062)
iface= 2, ipnt= 340 (Z): anal= -0.85609005, fd= -0.85588565, err= -0.00020440 (at -0.38059299 -0.40405268 -0.91111525)
iface= 2, ipnt= 343 (Z): anal= -0.53160738, fd= -0.53145411, err= -0.00015327 (at -1.71565790 -0.43477606 -0.72410062)
iface= 2, ipnt= 345 (Z): anal= 0.85861308, fd= 0.85840120, err= 0.00021189 (at -0.49971021 -0.40970067 0.90249769)
iface= 2, ipnt= 363 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 -0.35876683 0.93049606)
iface= 2, ipnt= 366 (Z): anal= -0.36631531, fd= -0.36620758, err= -0.00010773 (at -2.08413367 -0.42905820 -0.64995163)
iface= 2, ipnt= 370 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 -0.35876683 -0.93049606)
iface= 2, ipnt= 371 (Z): anal= 0.81422557, fd= 0.81405232, err= 0.00017326 (at -0.09504706 -0.38847423 0.92293695)
...too many errors to list
d(Face)/d(width) check complete with 159 total errors (errmax= 8.9304e-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= 450 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 0.24402927 -0.98836569)
iface= 1, ipnt= 452 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 0.23870168 0.98637166)
iface= 1, ipnt= 462 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 0.22502430 -0.97717774)
iface= 1, ipnt= 466 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 0.20836425 0.95685869)
iface= 1, ipnt= 470 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 0.22047372 0.97268989)
iface= 1, ipnt= 482 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 0.19479324 0.93166247)
iface= 1, ipnt= 483 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 0.20081731 -0.94388312)
iface= 1, ipnt= 521 (Z): anal= -0.52624267, fd= -0.52613698, err= -0.00010569 (at 3.08672661 0.18578173 -0.91008972)
iface= 1, ipnt= 525 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 0.18278450 0.90203738)
iface= 1, ipnt= 537 (Z): anal= -0.50992666, fd= -0.50982477, err= -0.00010189 (at 3.22702581 0.17679951 -0.88469941)
...too many errors to list
iface= 2, ipnt= 448 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 -0.23870168 0.98637166)
iface= 2, ipnt= 450 (Z): anal= -0.54108966, fd= -0.54098619, err= -0.00010348 (at 2.26201126 -0.23870168 -0.98637166)
iface= 2, ipnt= 465 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 -0.20836425 0.95685869)
iface= 2, ipnt= 467 (Z): anal= -0.55109607, fd= -0.55098595, err= -0.00011012 (at 2.73451201 -0.20836425 -0.95685869)
iface= 2, ipnt= 472 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 -0.22047372 0.97268989)
iface= 2, ipnt= 473 (Z): anal= -0.55319306, fd= -0.55308391, err= -0.00010915 (at 2.54586464 -0.22047372 -0.97268989)
iface= 2, ipnt= 481 (Z): anal= -0.53930061, fd= -0.53919218, err= -0.00010842 (at 2.94609227 -0.19479324 -0.93166247)
iface= 2, ipnt= 482 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 -0.19479324 0.93166247)
iface= 2, ipnt= 525 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 -0.18278450 0.90203738)
iface= 2, ipnt= 533 (Z): anal= -0.52113015, fd= -0.52102562, err= -0.00010453 (at 3.13352910 -0.18278450 -0.90203738)
...too many errors to list
d(Face)/d(width) check complete with 183 total errors (errmax= 5.2423e-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= 8.0409e-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= 8.0409e-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= 8.0409e-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= 8.8115e-10)
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= 8.6133e-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= 8.0862e-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 -> 0.219 sec
Sensitivity checks complete with 451 total errors (max config err= 8.9304e-04) with 0 suppressions
real 0m6.271s
user 0m6.430s
sys 0m0.021s
++++ set +x
data/basic/designF1ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 109 / 180 )
data/basic/designF2bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.2382e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0770e-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= 8.0653e-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= 1.3868e-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= 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)
iface= 1, ipnt= 214 (Z): anal= -0.14617181, fd= -0.14632091, err= 0.00014910 (at -0.65625022 0.10129882 -0.91929918)
iface= 1, ipnt= 215 (Z): anal= -0.17262186, fd= -0.17279674, err= 0.00017488 (at -0.75000021 0.10147363 -0.90548018)
iface= 1, ipnt= 216 (Z): anal= -0.20019221, fd= -0.20039353, err= 0.00020132 (at -0.84375021 0.10158843 -0.89105419)
iface= 1, ipnt= 217 (Z): anal= -0.22879784, fd= -0.22902612, err= 0.00022828 (at -0.93750020 0.10164770 -0.87606723)
iface= 1, ipnt= 218 (Z): anal= -0.25835599, fd= -0.25861159, err= 0.00025559 (at -1.03125019 0.10165596 -0.86056534)
iface= 1, ipnt= 219 (Z): anal= -0.28878606, fd= -0.28906920, err= 0.00028314 (at -1.12500019 0.10161769 -0.84459454)
iface= 1, ipnt= 220 (Z): anal= -0.32000947, fd= -0.32032024, err= 0.00031077 (at -1.21875018 0.10153741 -0.82820085)
iface= 1, ipnt= 221 (Z): anal= -0.35194949, fd= -0.35228783, err= 0.00033834 (at -1.31250017 0.10141961 -0.81143030)
...too many errors to list
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)
iface= 2, ipnt= 214 (Z): anal= 0.14617181, fd= 0.14632091, err= -0.00014910 (at -0.65625022 -0.10129882 0.91929918)
iface= 2, ipnt= 215 (Z): anal= 0.17262186, fd= 0.17279674, err= -0.00017488 (at -0.75000021 -0.10147363 0.90548018)
iface= 2, ipnt= 216 (Z): anal= 0.20019221, fd= 0.20039353, err= -0.00020132 (at -0.84375021 -0.10158843 0.89105419)
iface= 2, ipnt= 217 (Z): anal= 0.22879784, fd= 0.22902612, err= -0.00022828 (at -0.93750020 -0.10164770 0.87606723)
iface= 2, ipnt= 218 (Z): anal= 0.25835599, fd= 0.25861159, err= -0.00025559 (at -1.03125019 -0.10165596 0.86056534)
iface= 2, ipnt= 219 (Z): anal= 0.28878606, fd= 0.28906920, err= -0.00028314 (at -1.12500019 -0.10161769 0.84459454)
iface= 2, ipnt= 220 (Z): anal= 0.32000947, fd= 0.32032024, err= -0.00031077 (at -1.21875018 -0.10153741 0.82820085)
iface= 2, ipnt= 221 (Z): anal= 0.35194949, fd= 0.35228783, err= -0.00033834 (at -1.31250017 -0.10141961 0.81143030)
...too many errors to list
d(Face)/d(width) check complete with 300 total errors (errmax= 6.6603e-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= 176 (Y): anal= 0.17768085, fd= 0.17780759, err= -0.00012674 (at 2.90624999 0.05055317 -0.99540671)
iface= 1, ipnt= 176 (Z): anal= -0.92907350, fd= -0.92973619, err= 0.00066269 (at 2.90624999 0.05055317 -0.99540671)
iface= 1, ipnt= 177 (Y): anal= 0.16691103, fd= 0.16703343, err= -0.00012240 (at 2.81249998 0.05214265 -0.99608477)
iface= 1, ipnt= 177 (Z): anal= -0.89974269, fd= -0.90040249, err= 0.00065980 (at 2.81249998 0.05214265 -0.99608477)
iface= 1, ipnt= 178 (Y): anal= 0.15652874, fd= 0.15664652, err= -0.00011778 (at 2.71874998 0.05377205 -0.99715900)
iface= 1, ipnt= 178 (Z): anal= -0.86935244, fd= -0.87000661, err= 0.00065416 (at 2.71874998 0.05377205 -0.99715900)
iface= 1, ipnt= 179 (Y): anal= 0.14654134, fd= 0.14665428, err= -0.00011295 (at 2.62499997 0.05543682 -0.99858368)
iface= 1, ipnt= 179 (Z): anal= -0.83802160, fd= -0.83866752, err= 0.00064592 (at 2.62499997 0.05543682 -0.99858368)
iface= 1, ipnt= 180 (Y): anal= 0.13695101, fd= 0.13705896, err= -0.00010795 (at 2.53124996 0.05713244 -1.00031311)
iface= 1, ipnt= 180 (Z): anal= -0.80586672, fd= -0.80650196, err= 0.00063524 (at 2.53124996 0.05713244 -1.00031311)
...too many errors to list
iface= 2, ipnt= 176 (Y): anal= -0.17768085, fd= -0.17780759, err= 0.00012674 (at 2.90624999 -0.05055317 0.99540671)
iface= 2, ipnt= 176 (Z): anal= 0.92907350, fd= 0.92973619, err= -0.00066269 (at 2.90624999 -0.05055317 0.99540671)
iface= 2, ipnt= 177 (Y): anal= -0.16691103, fd= -0.16703343, err= 0.00012240 (at 2.81249998 -0.05214265 0.99608477)
iface= 2, ipnt= 177 (Z): anal= 0.89974269, fd= 0.90040249, err= -0.00065980 (at 2.81249998 -0.05214265 0.99608477)
iface= 2, ipnt= 178 (Y): anal= -0.15652874, fd= -0.15664652, err= 0.00011778 (at 2.71874998 -0.05377205 0.99715900)
iface= 2, ipnt= 178 (Z): anal= 0.86935244, fd= 0.87000661, err= -0.00065416 (at 2.71874998 -0.05377205 0.99715900)
iface= 2, ipnt= 179 (Y): anal= -0.14654134, fd= -0.14665428, err= 0.00011295 (at 2.62499997 -0.05543682 0.99858368)
iface= 2, ipnt= 179 (Z): anal= 0.83802160, fd= 0.83866752, err= -0.00064592 (at 2.62499997 -0.05543682 0.99858368)
iface= 2, ipnt= 180 (Y): anal= -0.13695101, fd= -0.13705896, err= 0.00010795 (at 2.53124996 -0.05713244 1.00031311)
iface= 2, ipnt= 180 (Z): anal= 0.80586672, fd= 0.80650196, err= -0.00063524 (at 2.53124996 -0.05713244 1.00031311)
...too many errors to list
d(Face)/d(width) check complete with 312 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= 4.4941e-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= 5.2635e-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= 5.2367e-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 -> 0.157 sec
Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m1.869s
user 0m1.866s
sys 0m0.019s
++++ set +x
data/basic/designF2bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 110 / 180 )
data/basic/designF2rr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2rr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.9500e-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= 5.1147e-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= 4.4127e-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= 4.2112e-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= 2.7319e-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= 5.7948e-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= 8.6563e-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= 1.4750e-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= 2.7319e-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= 2.7319e-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= 297 (Z): anal= -0.85604771, fd= -0.85587324, err= -0.00017447 (at -2.58642487 0.39265352 -0.50408076)
iface= 1, ipnt= 299 (Z): anal= 0.82774463, fd= 0.82757509, err= 0.00016953 (at -2.39387133 0.39687893 0.52768141)
iface= 1, ipnt= 301 (Z): anal= -0.71578671, fd= -0.71563883, err= -0.00014789 (at -1.92523841 0.40544994 -0.59503912)
iface= 1, ipnt= 304 (Z): anal= 0.48353495, fd= 0.48343440, err= 0.00010054 (at -1.28161075 0.41102337 0.70592541)
iface= 1, ipnt= 305 (Z): anal= 0.75843539, fd= 0.75827907, err= 0.00015632 (at -2.07747367 0.40298359 0.57169599)
iface= 1, ipnt= 312 (Z): anal= 0.62730098, fd= 0.62717094, err= 0.00013004 (at -1.65541552 0.40886353 0.63944744)
iface= 1, ipnt= 313 (Z): anal= -0.79604615, fd= -0.79588255, err= -0.00016360 (at -2.23360094 0.40011914 -0.54918762)
iface= 1, ipnt= 316 (Z): anal= -0.61008990, fd= -0.60996337, err= -0.00012653 (at -1.60755069 0.40932161 -0.64768209)
iface= 1, ipnt= 333 (Z): anal= 0.86748677, fd= 0.86731054, err= 0.00017623 (at -2.69929426 0.39003666 0.49141168)
iface= 1, ipnt= 334 (Z): anal= -0.87867844, fd= -0.87850132, err= -0.00017713 (at -2.93158020 0.38439286 -0.46809169)
...too many errors to list
iface= 2, ipnt= 299 (Z): anal= 0.85604771, fd= 0.85587324, err= 0.00017447 (at -2.58642487 -0.39265352 0.50408076)
iface= 2, ipnt= 301 (Z): anal= 0.71578671, fd= 0.71563883, err= 0.00014789 (at -1.92523841 -0.40544994 0.59503912)
iface= 2, ipnt= 303 (Z): anal= -0.82774463, fd= -0.82757509, err= -0.00016953 (at -2.39387133 -0.39687893 -0.52768141)
iface= 2, ipnt= 306 (Z): anal= -0.48353495, fd= -0.48343440, err= -0.00010054 (at -1.28161075 -0.41102337 -0.70592541)
iface= 2, ipnt= 312 (Z): anal= -0.62730098, fd= -0.62717094, err= -0.00013004 (at -1.65541552 -0.40886353 -0.63944744)
iface= 2, ipnt= 313 (Z): anal= 0.79604615, fd= 0.79588255, err= 0.00016360 (at -2.23360094 -0.40011914 0.54918762)
iface= 2, ipnt= 316 (Z): anal= 0.61008990, fd= 0.60996337, err= 0.00012653 (at -1.60755069 -0.40932161 0.64768209)
iface= 2, ipnt= 320 (Z): anal= -0.75843539, fd= -0.75827907, err= -0.00015632 (at -2.07747367 -0.40298359 -0.57169599)
iface= 2, ipnt= 334 (Z): anal= -0.86748677, fd= -0.86731054, err= -0.00017623 (at -2.69929426 -0.39003666 -0.49141168)
iface= 2, ipnt= 335 (Z): anal= 0.87867844, fd= 0.87850132, err= 0.00017713 (at -2.93158020 -0.38439286 0.46809169)
...too many errors to list
d(Face)/d(width) check complete with 139 total errors (errmax= 6.1585e-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= 296 (Z): anal= 0.62552250, fd= 0.62539666, err= 0.00012584 (at -0.99126120 0.41007024 0.75963527)
iface= 1, ipnt= 304 (Z): anal= 0.52734520, fd= 0.52723901, err= 0.00010619 (at -1.28161075 0.41102337 0.70592541)
iface= 1, ipnt= 308 (Z): anal= -0.55127177, fd= -0.55116078, err= -0.00011098 (at -1.21365378 0.41102873 -0.71841777)
iface= 1, ipnt= 309 (Z): anal= -0.75898226, fd= -0.75882959, err= -0.00015267 (at 0.18610942 0.37260094 -0.94558494)
iface= 1, ipnt= 314 (Z): anal= -0.69465360, fd= -0.69451393, err= -0.00013967 (at -0.75289513 0.40718549 -0.80350565)
iface= 1, ipnt= 315 (Z): anal= 0.72069590, fd= 0.72055102, err= 0.00014488 (at -0.64631388 0.40520451 0.82266938)
iface= 1, ipnt= 317 (Z): anal= -0.78499672, fd= -0.78483892, err= -0.00015780 (at -0.14470246 0.38938939 -0.90429666)
iface= 1, ipnt= 321 (Z): anal= 0.71461181, fd= 0.71446799, err= 0.00014382 (at 0.39392480 0.35971662 0.96522544)
iface= 1, ipnt= 322 (Z): anal= 0.78336497, fd= 0.78320747, err= 0.00015750 (at -0.04132377 0.38469581 0.91850755)
iface= 1, ipnt= 345 (Z): anal= 0.58898245, fd= 0.58886378, err= 0.00011867 (at 0.79582000 0.33141316 0.99011505)
...too many errors to list
iface= 2, ipnt= 298 (Z): anal= -0.62552250, fd= -0.62539666, err= -0.00012584 (at -0.99126120 -0.41007024 -0.75963527)
iface= 2, ipnt= 306 (Z): anal= -0.52734520, fd= -0.52723901, err= -0.00010619 (at -1.28161075 -0.41102337 -0.70592541)
iface= 2, ipnt= 308 (Z): anal= 0.55127177, fd= 0.55116078, err= 0.00011098 (at -1.21365378 -0.41102873 0.71841777)
iface= 2, ipnt= 309 (Z): anal= 0.75898226, fd= 0.75882959, err= 0.00015267 (at 0.18610942 -0.37260094 0.94558494)
iface= 2, ipnt= 314 (Z): anal= 0.69465360, fd= 0.69451393, err= 0.00013967 (at -0.75289513 -0.40718549 0.80350565)
iface= 2, ipnt= 315 (Z): anal= -0.72069590, fd= -0.72055102, err= -0.00014488 (at -0.64631388 -0.40520451 -0.82266938)
iface= 2, ipnt= 317 (Z): anal= 0.78499672, fd= 0.78483892, err= 0.00015780 (at -0.14470246 -0.38938939 0.90429666)
iface= 2, ipnt= 324 (Z): anal= -0.78513046, fd= -0.78497263, err= -0.00015783 (at -0.12401510 -0.38849098 -0.90722885)
iface= 2, ipnt= 333 (Z): anal= -0.71461181, fd= -0.71446799, err= -0.00014382 (at 0.39392480 -0.35971662 -0.96522544)
iface= 2, ipnt= 350 (Z): anal= 0.66050949, fd= 0.66037649, err= 0.00013300 (at 0.58281402 -0.34684619 0.97899625)
...too many errors to list
d(Face)/d(width) check complete with 118 total errors (errmax= 6.2111e-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= 427 (Z): anal= -0.52473100, fd= -0.52462667, err= -0.00010433 (at 2.05184794 0.24045913 -0.98129758)
iface= 1, ipnt= 435 (Z): anal= -0.54950232, fd= -0.54939260, err= -0.00010972 (at 2.55854692 0.21132557 -0.95385042)
iface= 1, ipnt= 439 (Z): anal= 0.52236920, fd= 0.52226536, err= 0.00010385 (at 2.02631880 0.24208840 0.98242143)
iface= 1, ipnt= 456 (Z): anal= -0.54359278, fd= -0.54348448, err= -0.00010829 (at 2.33998277 0.22311592 -0.96678821)
iface= 1, ipnt= 481 (Z): anal= -0.54953076, fd= -0.54942071, err= -0.00011006 (at 2.77093973 0.20106003 -0.93998485)
iface= 1, ipnt= 482 (Z): anal= 0.53122551, fd= 0.53111805, err= 0.00010746 (at 3.28091013 0.18120220 0.90255232)
iface= 1, ipnt= 486 (Z): anal= -0.54297069, fd= -0.54286143, err= -0.00010926 (at 3.03608044 0.18993490 -0.92123169)
iface= 1, ipnt= 487 (Z): anal= 0.54953076, fd= 0.54942071, err= 0.00011006 (at 2.77093973 0.20106003 0.93998485)
iface= 1, ipnt= 497 (Z): anal= -0.53122551, fd= -0.53111805, err= -0.00010746 (at 3.28091013 0.18120220 -0.90255232)
iface= 1, ipnt= 519 (Z): anal= 0.51670938, fd= 0.51660430, err= 0.00010507 (at 3.50013304 0.17427677 0.88425024)
...too many errors to list
iface= 2, ipnt= 423 (Z): anal= -0.52473100, fd= -0.52462667, err= -0.00010433 (at 2.05184794 -0.24045913 -0.98129758)
iface= 2, ipnt= 431 (Z): anal= -0.54950232, fd= -0.54939260, err= -0.00010973 (at 2.55854692 -0.21132557 -0.95385042)
iface= 2, ipnt= 435 (Z): anal= 0.52236920, fd= 0.52226536, err= 0.00010385 (at 2.02631880 -0.24208840 0.98242143)
iface= 2, ipnt= 454 (Z): anal= -0.54359278, fd= -0.54348448, err= -0.00010829 (at 2.33998277 -0.22311592 -0.96678821)
iface= 2, ipnt= 482 (Z): anal= 0.54953076, fd= 0.54942071, err= 0.00011006 (at 2.77093973 -0.20106003 0.93998485)
iface= 2, ipnt= 483 (Z): anal= -0.54953076, fd= -0.54942071, err= -0.00011006 (at 2.77093973 -0.20106003 -0.93998485)
iface= 2, ipnt= 486 (Z): anal= -0.54297069, fd= -0.54286143, err= -0.00010926 (at 3.03608044 -0.18993490 -0.92123169)
iface= 2, ipnt= 490 (Z): anal= 0.53122551, fd= 0.53111805, err= 0.00010746 (at 3.28091013 -0.18120220 0.90255232)
iface= 2, ipnt= 498 (Z): anal= -0.53298321, fd= -0.53287547, err= -0.00010774 (at 3.24991894 -0.18224113 -0.90500716)
iface= 2, ipnt= 548 (Z): anal= -0.51122756, fd= -0.51112341, err= -0.00010415 (at 3.57123960 -0.17216090 -0.87791147)
...too many errors to list
d(Face)/d(width) check complete with 150 total errors (errmax= 4.9189e-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= 2.7319e-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= 7.0602e-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= 2.6167e-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= 2.0026e-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= 2.7318e-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= 2.7311e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6167e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.173 sec
Sensitivity checks complete with 407 total errors (max config err= 6.2111e-04) with 0 suppressions
real 0m6.133s
user 0m6.238s
sys 0m0.019s
++++ set +x
data/basic/designF2rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 111 / 180 )
data/basic/designF2rs.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2rs.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.7748e-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= 4.8990e-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= 3.8026e-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= 4.1156e-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= 3.2355e-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= 1.3235e-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= 5.7646e-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= 8.9232e-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= 1.3870e-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= 1.3235e-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= 1.3235e-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= 316 (Z): anal= 0.58380778, fd= 0.58368663, err= 0.00012115 (at -1.56585672 0.40744134 0.64950583)
iface= 1, ipnt= 320 (Z): anal= -0.77856235, fd= -0.77840208, err= -0.00016027 (at -2.17130141 0.40016689 -0.55439277)
iface= 1, ipnt= 321 (Z): anal= 0.77856235, fd= 0.77840208, err= 0.00016027 (at -2.17130141 0.40016689 0.55439277)
iface= 1, ipnt= 327 (Z): anal= -0.57488620, fd= -0.57476688, err= -0.00011932 (at -1.54271662 0.40758047 -0.65351376)
iface= 1, ipnt= 328 (Z): anal= -0.78389065, fd= -0.78373906, err= -0.00015159 (at -3.79453534 0.35984902 -0.40930451)
iface= 1, ipnt= 337 (Z): anal= 0.84588938, fd= 0.84571657, err= 0.00017281 (at -2.51181460 0.39372589 0.51078067)
iface= 1, ipnt= 338 (Z): anal= -0.84588938, fd= -0.84571657, err= -0.00017281 (at -2.51181460 0.39372589 -0.51078067)
iface= 1, ipnt= 340 (Z): anal= 0.85644285, fd= 0.85627332, err= 0.00016952 (at -3.35476494 0.37358379 0.43575694)
iface= 1, ipnt= 344 (Z): anal= 0.87948393, fd= 0.87930703, err= 0.00017690 (at -2.99119400 0.38288893 0.46267121)
iface= 1, ipnt= 353 (Z): anal= -0.87949044, fd= -0.87931324, err= -0.00017720 (at -2.94716254 0.38394739 -0.46644127)
...too many errors to list
iface= 2, ipnt= 316 (Z): anal= -0.58380778, fd= -0.58368663, err= -0.00012115 (at -1.56585672 -0.40744134 -0.64950583)
iface= 2, ipnt= 320 (Z): anal= 0.77856235, fd= 0.77840208, err= 0.00016027 (at -2.17130141 -0.40016689 0.55439277)
iface= 2, ipnt= 321 (Z): anal= -0.77856235, fd= -0.77840208, err= -0.00016027 (at -2.17130141 -0.40016689 -0.55439277)
iface= 2, ipnt= 327 (Z): anal= 0.57488620, fd= 0.57476688, err= 0.00011932 (at -1.54271662 -0.40758047 0.65351376)
iface= 2, ipnt= 328 (Z): anal= 0.78389065, fd= 0.78373906, err= 0.00015159 (at -3.79453534 -0.35984902 0.40930451)
iface= 2, ipnt= 337 (Z): anal= 0.84588938, fd= 0.84571657, err= 0.00017281 (at -2.51181460 -0.39372589 0.51078067)
iface= 2, ipnt= 338 (Z): anal= -0.84588938, fd= -0.84571657, err= -0.00017281 (at -2.51181460 -0.39372589 -0.51078067)
iface= 2, ipnt= 340 (Z): anal= -0.85644285, fd= -0.85627332, err= -0.00016952 (at -3.35476494 -0.37358379 -0.43575694)
iface= 2, ipnt= 344 (Z): anal= -0.87948393, fd= -0.87930703, err= -0.00017690 (at -2.99119400 -0.38288893 -0.46267121)
iface= 2, ipnt= 353 (Z): anal= 0.87949044, fd= 0.87931324, err= 0.00017720 (at -2.94716254 -0.38394739 0.46644127)
...too many errors to list
d(Face)/d(width) check complete with 154 total errors (errmax= 4.2917e-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= 317 (Z): anal= -0.56594354, fd= -0.56582958, err= -0.00011396 (at -1.20290439 0.40814989 -0.71449795)
iface= 1, ipnt= 319 (Z): anal= 0.56594354, fd= 0.56582958, err= 0.00011396 (at -1.20290439 0.40814989 0.71449795)
iface= 1, ipnt= 326 (Z): anal= 0.77652883, fd= 0.77637269, err= 0.00015614 (at 0.02232211 0.38176504 0.92705666)
iface= 1, ipnt= 329 (Z): anal= -0.67529110, fd= -0.67515527, err= -0.00013583 (at -0.85121360 0.40543420 -0.77970316)
iface= 1, ipnt= 332 (Z): anal= 0.72271281, fd= 0.72256749, err= 0.00014532 (at -0.65584383 0.40229321 0.81552570)
iface= 1, ipnt= 339 (Z): anal= -0.73012259, fd= -0.72997571, err= -0.00014688 (at 0.36216449 0.36615325 -0.97065558)
iface= 1, ipnt= 341 (Z): anal= 0.57443855, fd= 0.57432285, err= 0.00011570 (at 0.94608208 0.33323848 1.02270461)
iface= 1, ipnt= 343 (Z): anal= -0.78040790, fd= -0.78025101, err= -0.00015689 (at -0.19902818 0.39010548 -0.89373521)
iface= 1, ipnt= 346 (Z): anal= -0.63878880, fd= -0.63866020, err= -0.00012860 (at 0.73374035 0.34594712 -1.00724793)
iface= 1, ipnt= 354 (Z): anal= 0.66480223, fd= 0.66466842, err= 0.00013381 (at 0.64008132 0.35130377 0.99914984)
...too many errors to list
iface= 2, ipnt= 317 (Z): anal= 0.56594354, fd= 0.56582958, err= 0.00011396 (at -1.20290439 -0.40814989 0.71449795)
iface= 2, ipnt= 319 (Z): anal= -0.56594354, fd= -0.56582958, err= -0.00011396 (at -1.20290439 -0.40814989 -0.71449795)
iface= 2, ipnt= 326 (Z): anal= -0.77652883, fd= -0.77637269, err= -0.00015614 (at 0.02232211 -0.38176504 -0.92705666)
iface= 2, ipnt= 329 (Z): anal= 0.67529110, fd= 0.67515527, err= 0.00013583 (at -0.85121360 -0.40543420 0.77970316)
iface= 2, ipnt= 332 (Z): anal= -0.72271281, fd= -0.72256749, err= -0.00014532 (at -0.65584383 -0.40229321 -0.81552570)
iface= 2, ipnt= 339 (Z): anal= 0.73012259, fd= 0.72997571, err= 0.00014688 (at 0.36216449 -0.36615325 0.97065558)
iface= 2, ipnt= 341 (Z): anal= -0.57443855, fd= -0.57432285, err= -0.00011570 (at 0.94608208 -0.33323848 -1.02270461)
iface= 2, ipnt= 343 (Z): anal= 0.78040790, fd= 0.78025101, err= 0.00015689 (at -0.19902818 -0.39010548 0.89373521)
iface= 2, ipnt= 346 (Z): anal= 0.63878880, fd= 0.63866020, err= 0.00012860 (at 0.73374035 -0.34594712 1.00724793)
iface= 2, ipnt= 354 (Z): anal= -0.66480223, fd= -0.66466842, err= -0.00013381 (at 0.64008132 -0.35130377 -0.99914984)
...too many errors to list
d(Face)/d(width) check complete with 138 total errors (errmax= 6.0513e-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= 378 (Z): anal= -0.48215345, fd= -0.48205036, err= -0.00010309 (at 1.95615841 0.26544325 -1.03599152)
iface= 1, ipnt= 379 (Z): anal= 0.48215345, fd= 0.48205036, err= 0.00010309 (at 1.95615841 0.26544325 1.03599152)
iface= 1, ipnt= 447 (Z): anal= -0.52841294, fd= -0.52830199, err= -0.00011096 (at 2.36799780 0.23606849 -1.00904414)
iface= 1, ipnt= 448 (Z): anal= 0.52841294, fd= 0.52830199, err= 0.00011096 (at 2.36799780 0.23606849 1.00904414)
iface= 1, ipnt= 452 (Z): anal= -0.53874567, fd= -0.53863555, err= -0.00011013 (at 2.80170252 0.20520266 -0.95681390)
iface= 1, ipnt= 455 (Z): anal= 0.53874567, fd= 0.53863555, err= 0.00011013 (at 2.80170252 0.20520266 0.95681390)
iface= 1, ipnt= 469 (Z): anal= -0.53917310, fd= -0.53906142, err= -0.00011168 (at 2.60943360 0.21882610 -0.98318768)
iface= 1, ipnt= 472 (Z): anal= 0.53917310, fd= 0.53906142, err= 0.00011168 (at 2.60943360 0.21882610 0.98318768)
iface= 1, ipnt= 476 (Z): anal= -0.51465799, fd= -0.51455642, err= -0.00010157 (at 3.18281073 0.17878261 -0.88809095)
iface= 1, ipnt= 498 (Z): anal= 0.53035853, fd= 0.53025182, err= 0.00010671 (at 2.99289830 0.19183034 0.92515076)
...too many errors to list
iface= 2, ipnt= 378 (Z): anal= 0.48215345, fd= 0.48205036, err= 0.00010309 (at 1.95615841 -0.26544325 1.03599152)
iface= 2, ipnt= 379 (Z): anal= -0.48215345, fd= -0.48205036, err= -0.00010309 (at 1.95615841 -0.26544325 -1.03599152)
iface= 2, ipnt= 447 (Z): anal= 0.52841294, fd= 0.52830199, err= 0.00011096 (at 2.36799780 -0.23606849 1.00904414)
iface= 2, ipnt= 448 (Z): anal= -0.52841294, fd= -0.52830199, err= -0.00011096 (at 2.36799780 -0.23606849 -1.00904414)
iface= 2, ipnt= 452 (Z): anal= 0.53874567, fd= 0.53863555, err= 0.00011013 (at 2.80170252 -0.20520266 0.95681390)
iface= 2, ipnt= 455 (Z): anal= -0.53874567, fd= -0.53863555, err= -0.00011013 (at 2.80170252 -0.20520266 -0.95681390)
iface= 2, ipnt= 463 (Z): anal= 0.53917310, fd= 0.53906142, err= 0.00011168 (at 2.60943360 -0.21882610 0.98318768)
iface= 2, ipnt= 469 (Z): anal= -0.53917310, fd= -0.53906142, err= -0.00011168 (at 2.60943360 -0.21882610 -0.98318768)
iface= 2, ipnt= 498 (Z): anal= -0.53035853, fd= -0.53025182, err= -0.00010671 (at 2.99289830 -0.19183034 -0.92515076)
iface= 2, ipnt= 499 (Z): anal= 0.53035853, fd= 0.53025182, err= 0.00010671 (at 2.99289830 -0.19183034 0.92515076)
...too many errors to list
d(Face)/d(width) check complete with 168 total errors (errmax= 3.8952e-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= 1.3235e-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= 7.1025e-07)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 8.5637e-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= 1.3235e-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= 1.4273e-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= 1.3279e-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= 1.3234e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.2369e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.178 sec
Sensitivity checks complete with 460 total errors (max config err= 6.0513e-04) with 0 suppressions
real 0m6.262s
user 0m6.383s
sys 0m0.018s
++++ set +x
data/basic/designF2rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 112 / 180 )
data/basic/designF2sr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2sr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.6542e-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= 4.6712e-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= 4.4016e-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= 4.0904e-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= 1.5994e-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= 4.1752e-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= 9.4099e-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= 1.5175e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 9.6640e-07)
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= 1.5994e-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= 1.5994e-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= 307 (Z): anal= 0.48841773, fd= 0.48831240, err= 0.00010533 (at -1.47242109 0.43148886 0.72018440)
iface= 1, ipnt= 313 (Z): anal= 0.69167091, fd= 0.69152446, err= 0.00014645 (at -2.07734580 0.42646297 0.61887127)
iface= 1, ipnt= 315 (Z): anal= -0.69167091, fd= -0.69152446, err= -0.00014645 (at -2.07734580 0.42646297 -0.61887127)
iface= 1, ipnt= 326 (Z): anal= 0.83576071, fd= 0.83558926, err= 0.00017145 (at -2.72970379 0.40061178 0.50736975)
iface= 1, ipnt= 330 (Z): anal= -0.83576071, fd= -0.83558926, err= -0.00017145 (at -2.72970379 0.40061178 -0.50736975)
iface= 1, ipnt= 337 (Z): anal= -0.84041085, fd= -0.84024937, err= -0.00016148 (at -3.41847588 0.34581771 -0.39364239)
iface= 1, ipnt= 349 (Z): anal= -0.85998398, fd= -0.85981324, err= -0.00017074 (at -3.13544420 0.37192110 -0.43955149)
iface= 1, ipnt= 356 (Z): anal= 0.85998398, fd= 0.85981324, err= 0.00017074 (at -3.13544420 0.37192110 0.43955149)
iface= 1, ipnt= 364 (Z): anal= 0.76871700, fd= 0.76857822, err= 0.00013878 (at -3.81539697 0.30197322 0.33097090)
iface= 1, ipnt= 370 (Z): anal= -0.58291058, fd= -0.58278578, err= -0.00012480 (at -1.73814093 0.43132780 -0.67626496)
...too many errors to list
iface= 2, ipnt= 306 (Z): anal= -0.48841773, fd= -0.48831240, err= -0.00010533 (at -1.47242109 -0.43148886 -0.72018440)
iface= 2, ipnt= 311 (Z): anal= 0.69167091, fd= 0.69152446, err= 0.00014645 (at -2.07734580 -0.42646297 0.61887127)
iface= 2, ipnt= 312 (Z): anal= -0.69167091, fd= -0.69152446, err= -0.00014645 (at -2.07734580 -0.42646297 -0.61887127)
iface= 2, ipnt= 316 (Z): anal= 0.56617555, fd= 0.56605416, err= 0.00012139 (at -1.68975079 -0.43158808 0.68434686)
iface= 2, ipnt= 324 (Z): anal= 0.83576071, fd= 0.83558926, err= 0.00017145 (at -2.72970379 -0.40061178 0.50736975)
iface= 2, ipnt= 325 (Z): anal= -0.80464469, fd= -0.80447776, err= -0.00016694 (at -2.53710166 -0.41068352 -0.54017751)
iface= 2, ipnt= 331 (Z): anal= -0.85990439, fd= -0.85973211, err= -0.00017228 (at -3.04048979 -0.37958510 -0.45521266)
iface= 2, ipnt= 333 (Z): anal= 0.84041085, fd= 0.84024937, err= 0.00016148 (at -3.41847588 -0.34581771 0.39364239)
iface= 2, ipnt= 341 (Z): anal= 0.85998398, fd= 0.85981324, err= 0.00017074 (at -3.13544420 -0.37192110 0.43955149)
iface= 2, ipnt= 356 (Z): anal= -0.85007602, fd= -0.84991074, err= -0.00016529 (at -3.32442161 -0.35501087 -0.40877561)
...too many errors to list
d(Face)/d(width) check complete with 121 total errors (errmax= 6.4555e-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= 307 (Z): anal= 0.50023987, fd= 0.50013953, err= 0.00010034 (at -1.47242109 0.43148886 0.72018440)
iface= 1, ipnt= 312 (Z): anal= -0.62522813, fd= -0.62510267, err= -0.00012546 (at -1.08872309 0.42650402 -0.78101476)
iface= 1, ipnt= 314 (Z): anal= 0.72259527, fd= 0.72245019, err= 0.00014508 (at -0.71027401 0.41599547 0.83672868)
iface= 1, ipnt= 317 (Z): anal= -0.52515826, fd= -0.52505291, err= -0.00010535 (at -1.40017684 0.43100896 -0.73190283)
iface= 1, ipnt= 320 (Z): anal= -0.72259527, fd= -0.72245019, err= -0.00014508 (at -0.71027401 0.41599547 -0.83672868)
iface= 1, ipnt= 321 (Z): anal= 0.78860963, fd= 0.78845111, err= 0.00015851 (at -0.13456693 0.39027406 0.90956158)
iface= 1, ipnt= 333 (Z): anal= -0.49799621, fd= -0.49789578, err= -0.00010043 (at 1.09211163 0.30581472 -0.98994517)
iface= 1, ipnt= 338 (Z): anal= 0.62522813, fd= 0.62510267, err= 0.00012546 (at -1.08872309 0.42650402 0.78101476)
iface= 1, ipnt= 341 (Z): anal= 0.60878677, fd= 0.60866411, err= 0.00012266 (at 0.78599396 0.32895485 0.98075895)
iface= 1, ipnt= 344 (Z): anal= -0.78589033, fd= -0.78573232, err= -0.00015801 (at -0.02231498 0.38397599 -0.92157746)
...too many errors to list
iface= 2, ipnt= 306 (Z): anal= -0.50023987, fd= -0.50013953, err= -0.00010034 (at -1.47242109 -0.43148886 -0.72018440)
iface= 2, ipnt= 309 (Z): anal= 0.62522813, fd= 0.62510267, err= 0.00012546 (at -1.08872309 -0.42650402 0.78101476)
iface= 2, ipnt= 310 (Z): anal= -0.72259527, fd= -0.72245019, err= -0.00014508 (at -0.71027401 -0.41599547 -0.83672868)
iface= 2, ipnt= 318 (Z): anal= 0.70157214, fd= 0.70143130, err= 0.00014084 (at -0.80427661 -0.41910005 0.82337136)
iface= 2, ipnt= 335 (Z): anal= -0.78860963, fd= -0.78845111, err= -0.00015851 (at -0.13456693 -0.39027406 -0.90956158)
iface= 2, ipnt= 340 (Z): anal= -0.60878677, fd= -0.60866411, err= -0.00012266 (at 0.78599396 -0.32895485 -0.98075895)
iface= 2, ipnt= 345 (Z): anal= 0.78589033, fd= 0.78573232, err= 0.00015801 (at -0.02231498 -0.38397599 0.92157746)
iface= 2, ipnt= 348 (Z): anal= 0.49799621, fd= 0.49789578, err= 0.00010043 (at 1.09211163 -0.30581472 0.98994517)
iface= 2, ipnt= 350 (Z): anal= 0.77229056, fd= 0.77213542, err= 0.00015514 (at -0.40813330 -0.40390001 0.87707398)
iface= 2, ipnt= 352 (Z): anal= -0.71885146, fd= -0.71870677, err= -0.00014469 (at 0.41732750 -0.35574922 -0.95999209)
...too many errors to list
d(Face)/d(width) check complete with 124 total errors (errmax= 5.8509e-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= 384 (Z): anal= -0.50317953, fd= -0.50307952, err= -0.00010001 (at 1.84946582 0.25128324 -0.98458724)
iface= 1, ipnt= 422 (Z): anal= 0.50639576, fd= 0.50629511, err= 0.00010065 (at 1.87364150 0.24969439 0.98385377)
iface= 1, ipnt= 426 (Z): anal= -0.54097692, fd= -0.54086922, err= -0.00010770 (at 2.24810523 0.22676701 -0.96897182)
iface= 1, ipnt= 433 (Z): anal= -0.52569276, fd= -0.52558822, err= -0.00010454 (at 2.04551021 0.23876630 -0.97780841)
iface= 1, ipnt= 438 (Z): anal= 0.53225651, fd= 0.53215063, err= 0.00010588 (at 2.12067110 0.23419950 0.97473371)
iface= 1, ipnt= 444 (Z): anal= -0.54939590, fd= -0.54928631, err= -0.00010958 (at 2.45808094 0.21540458 -0.95811704)
iface= 1, ipnt= 447 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 0.20353152 -0.94354229)
iface= 1, ipnt= 470 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 0.19506713 0.93051110)
iface= 1, ipnt= 485 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 0.18131516 0.90228919)
iface= 1, ipnt= 504 (Z): anal= -0.53766289, fd= -0.53755444, err= -0.00010846 (at 3.15557996 0.18580283 -0.91270671)
...too many errors to list
iface= 2, ipnt= 382 (Z): anal= 0.50317953, fd= 0.50307952, err= 0.00010001 (at 1.84946582 -0.25128324 0.98458724)
iface= 2, ipnt= 420 (Z): anal= -0.50639576, fd= -0.50629510, err= -0.00010065 (at 1.87364150 -0.24969439 -0.98385377)
iface= 2, ipnt= 431 (Z): anal= -0.54239515, fd= -0.54228714, err= -0.00010801 (at 2.27393154 -0.22530943 -0.96772454)
iface= 2, ipnt= 432 (Z): anal= 0.52569276, fd= 0.52558822, err= 0.00010454 (at 2.04551021 -0.23876630 0.97780841)
iface= 2, ipnt= 442 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 -0.20353152 -0.94354229)
iface= 2, ipnt= 476 (Z): anal= -0.52991847, fd= -0.52981124, err= -0.00010723 (at 3.29300498 -0.18131516 -0.90228919)
iface= 2, ipnt= 481 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 -0.18131516 0.90228919)
iface= 2, ipnt= 482 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 -0.19506713 0.93051110)
iface= 2, ipnt= 489 (Z): anal= -0.54810091, fd= -0.54799092, err= -0.00010998 (at 2.88901237 -0.19564743 -0.93149045)
iface= 2, ipnt= 510 (Z): anal= -0.53988298, fd= -0.53977418, err= -0.00010880 (at 3.11032311 -0.18735787 -0.91601544)
...too many errors to list
d(Face)/d(width) check complete with 137 total errors (errmax= 4.5758e-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= 1.5994e-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= 1.5994e-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= 2.6197e-07)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 6.5508e-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= 1.6451e-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= 1.5784e-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= 1.5954e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6165e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.182 sec
Sensitivity checks complete with 382 total errors (max config err= 6.4555e-04) with 0 suppressions
real 0m6.685s
user 0m6.828s
sys 0m0.021s
++++ set +x
data/basic/designF2sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 113 / 180 )
data/basic/designF2ss.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2ss.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3.5967e-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= 4.6481e-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= 3.7314e-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= 4.2226e-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= 3.3013e-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= 9.0154e-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= 4.1927e-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= 8.4509e-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= 1.4929e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 7.0074e-08)
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= 9.0154e-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= 9.0154e-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= 333 (Z): anal= -0.62374721, fd= -0.62361417, err= -0.00013304 (at -1.88497071 0.42820828 -0.64678479)
iface= 1, ipnt= 336 (Z): anal= 0.62374721, fd= 0.62361417, err= 0.00013304 (at -1.88497071 0.42820828 0.64678479)
iface= 1, ipnt= 340 (Z): anal= 0.48811545, fd= 0.48801022, err= 0.00010524 (at -1.50478344 0.42897198 0.70871647)
iface= 1, ipnt= 347 (Z): anal= -0.52319734, fd= -0.52308482, err= -0.00011252 (at -1.59994097 0.42937236 -0.69337861)
iface= 1, ipnt= 348 (Z): anal= 0.71987002, fd= 0.71971817, err= 0.00015185 (at -2.19289931 0.42260419 0.59571224)
iface= 1, ipnt= 353 (Z): anal= -0.71987002, fd= -0.71971817, err= -0.00015185 (at -2.19289931 0.42260419 -0.59571224)
iface= 1, ipnt= 355 (Z): anal= 0.85227503, fd= 0.85210191, err= 0.00017311 (at -2.87589203 0.39145808 0.48224330)
iface= 1, ipnt= 358 (Z): anal= -0.85227503, fd= -0.85210191, err= -0.00017311 (at -2.87589203 0.39145808 -0.48224330)
iface= 1, ipnt= 376 (Z): anal= -0.85084862, fd= -0.85068318, err= -0.00016543 (at -3.31988712 0.35536352 -0.41038246)
iface= 1, ipnt= 377 (Z): anal= 0.85748504, fd= 0.85731649, err= 0.00016855 (at -3.22664699 0.36398807 0.42529312)
...too many errors to list
iface= 2, ipnt= 333 (Z): anal= 0.62374721, fd= 0.62361417, err= 0.00013304 (at -1.88497071 -0.42820828 0.64678479)
iface= 2, ipnt= 336 (Z): anal= -0.62374721, fd= -0.62361417, err= -0.00013304 (at -1.88497071 -0.42820828 -0.64678479)
iface= 2, ipnt= 340 (Z): anal= -0.48811545, fd= -0.48801022, err= -0.00010524 (at -1.50478344 -0.42897198 -0.70871647)
iface= 2, ipnt= 347 (Z): anal= 0.52319734, fd= 0.52308482, err= 0.00011252 (at -1.59994097 -0.42937236 0.69337861)
iface= 2, ipnt= 348 (Z): anal= -0.71987002, fd= -0.71971817, err= -0.00015185 (at -2.19289931 -0.42260419 -0.59571224)
iface= 2, ipnt= 353 (Z): anal= 0.71987002, fd= 0.71971817, err= 0.00015185 (at -2.19289931 -0.42260419 0.59571224)
iface= 2, ipnt= 358 (Z): anal= 0.85227503, fd= 0.85210191, err= 0.00017311 (at -2.87589203 -0.39145808 0.48224330)
iface= 2, ipnt= 359 (Z): anal= -0.85227503, fd= -0.85210191, err= -0.00017311 (at -2.87589203 -0.39145808 -0.48224330)
iface= 2, ipnt= 375 (Z): anal= 0.77465103, fd= 0.77451060, err= 0.00014044 (at -3.78452256 -0.30533823 0.33729842)
iface= 2, ipnt= 377 (Z): anal= -0.85084862, fd= -0.85068318, err= -0.00016543 (at -3.31988712 -0.35536352 -0.41038246)
...too many errors to list
d(Face)/d(width) check complete with 125 total errors (errmax= 5.5448e-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= 338 (Z): anal= -0.62363019, fd= -0.62350500, err= -0.00012519 (at -1.12352822 0.42379716 -0.76868121)
iface= 1, ipnt= 340 (Z): anal= 0.49957251, fd= 0.49947226, err= 0.00010025 (at -1.50478344 0.42897198 0.70871647)
iface= 1, ipnt= 346 (Z): anal= 0.69360771, fd= 0.69346842, err= 0.00013928 (at -0.86093670 0.41725455 0.80824261)
iface= 1, ipnt= 352 (Z): anal= -0.77160903, fd= -0.77145398, err= -0.00015504 (at -0.40674040 0.40116921 -0.87230719)
iface= 1, ipnt= 362 (Z): anal= 0.78562447, fd= 0.78546654, err= 0.00015793 (at -0.11964141 0.38845017 0.90934281)
iface= 1, ipnt= 364 (Z): anal= 0.63689879, fd= 0.63677055, err= 0.00012824 (at 0.78927507 0.33913374 1.00210411)
iface= 1, ipnt= 367 (Z): anal= -0.51679016, fd= -0.51668602, err= -0.00010415 (at 1.17124261 0.31535337 -1.02537424)
iface= 1, ipnt= 371 (Z): anal= 0.71546329, fd= 0.71531932, err= 0.00014397 (at 0.47850208 0.35729951 0.97549160)
iface= 1, ipnt= 378 (Z): anal= -0.63689879, fd= -0.63677055, err= -0.00012824 (at 0.78927507 0.33913374 -1.00210411)
iface= 1, ipnt= 379 (Z): anal= 0.51679016, fd= 0.51668602, err= 0.00010415 (at 1.17124261 0.31535337 1.02537424)
...too many errors to list
iface= 2, ipnt= 338 (Z): anal= 0.62363019, fd= 0.62350500, err= 0.00012519 (at -1.12352822 -0.42379716 0.76868121)
iface= 2, ipnt= 340 (Z): anal= -0.49957251, fd= -0.49947226, err= -0.00010025 (at -1.50478344 -0.42897198 -0.70871647)
iface= 2, ipnt= 346 (Z): anal= -0.69360771, fd= -0.69346842, err= -0.00013928 (at -0.86093670 -0.41725455 -0.80824261)
iface= 2, ipnt= 352 (Z): anal= 0.77160903, fd= 0.77145398, err= 0.00015504 (at -0.40674040 -0.40116921 0.87230719)
iface= 2, ipnt= 355 (Z): anal= -0.77733054, fd= -0.77717422, err= -0.00015631 (at 0.07179150 -0.37909396 -0.93230262)
iface= 2, ipnt= 365 (Z): anal= 0.63689879, fd= 0.63677055, err= 0.00012824 (at 0.78927507 -0.33913374 1.00210411)
iface= 2, ipnt= 366 (Z): anal= -0.63689879, fd= -0.63677055, err= -0.00012824 (at 0.78927507 -0.33913374 -1.00210411)
iface= 2, ipnt= 371 (Z): anal= 0.71546329, fd= 0.71531932, err= 0.00014397 (at 0.47850208 -0.35729951 0.97549160)
iface= 2, ipnt= 372 (Z): anal= -0.71546329, fd= -0.71531932, err= -0.00014397 (at 0.47850208 -0.35729951 -0.97549160)
iface= 2, ipnt= 378 (Z): anal= 0.51679016, fd= 0.51668602, err= 0.00010415 (at 1.17124261 -0.31535337 1.02537424)
...too many errors to list
d(Face)/d(width) check complete with 141 total errors (errmax= 6.0266e-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= 402 (Z): anal= -0.49965814, fd= -0.49955169, err= -0.00010645 (at 2.07458818 0.25491198 -1.02676854)
iface= 1, ipnt= 452 (Z): anal= 0.49298353, fd= 0.49287830, err= 0.00010523 (at 2.02721929 0.25816877 1.02891033)
iface= 1, ipnt= 454 (Z): anal= 0.52957660, fd= 0.52946525, err= 0.00011135 (at 2.35829899 0.23533699 1.00802011)
iface= 1, ipnt= 461 (Z): anal= -0.53951138, fd= -0.53939913, err= -0.00011225 (at 2.54692211 0.22231393 -0.98959882)
iface= 1, ipnt= 465 (Z): anal= -0.52957660, fd= -0.52946525, err= -0.00011135 (at 2.35829899 0.23533699 -1.00802011)
iface= 1, ipnt= 474 (Z): anal= -0.53069897, fd= -0.53059220, err= -0.00010677 (at 2.99302223 0.19180929 -0.92512348)
iface= 1, ipnt= 475 (Z): anal= 0.53069897, fd= 0.53059220, err= 0.00010677 (at 2.99302223 0.19180929 0.92512348)
iface= 1, ipnt= 483 (Z): anal= 0.54161703, fd= 0.54150537, err= 0.00011167 (at 2.68809371 0.21259775 0.97248409)
iface= 1, ipnt= 491 (Z): anal= -0.53989492, fd= -0.53978456, err= -0.00011037 (at 2.80553152 0.20455211 -0.95597122)
iface= 1, ipnt= 555 (Z): anal= 0.51430067, fd= 0.51419917, err= 0.00010149 (at 3.17999131 0.17926164 0.88871144)
...too many errors to list
iface= 2, ipnt= 410 (Z): anal= -0.49965814, fd= -0.49955169, err= -0.00010645 (at 2.07458818 -0.25491198 -1.02676854)
iface= 2, ipnt= 449 (Z): anal= 0.49298353, fd= 0.49287830, err= 0.00010523 (at 2.02721929 -0.25816877 1.02891033)
iface= 2, ipnt= 451 (Z): anal= 0.52957660, fd= 0.52946525, err= 0.00011135 (at 2.35829899 -0.23533699 1.00802011)
iface= 2, ipnt= 459 (Z): anal= -0.53951138, fd= -0.53939913, err= -0.00011225 (at 2.54692211 -0.22231393 -0.98959882)
iface= 2, ipnt= 463 (Z): anal= -0.52957660, fd= -0.52946525, err= -0.00011135 (at 2.35829899 -0.23533699 -1.00802011)
iface= 2, ipnt= 464 (Z): anal= 0.54130502, fd= 0.54119379, err= 0.00011123 (at 2.73509174 -0.20937310 0.96612863)
iface= 2, ipnt= 474 (Z): anal= -0.53069897, fd= -0.53059220, err= -0.00010677 (at 2.99302223 -0.19180929 -0.92512348)
iface= 2, ipnt= 489 (Z): anal= -0.53989492, fd= -0.53978456, err= -0.00011037 (at 2.80553152 -0.20455211 -0.95597122)
iface= 2, ipnt= 490 (Z): anal= 0.53506289, fd= 0.53495455, err= 0.00010834 (at 2.92277397 -0.19656652 0.93734293)
iface= 2, ipnt= 497 (Z): anal= 0.52118436, fd= 0.52108072, err= 0.00010364 (at 3.10993771 -0.18394380 0.90300194)
...too many errors to list
d(Face)/d(width) check complete with 159 total errors (errmax= 5.1146e-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= 9.0154e-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= 9.0154e-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= 9.0154e-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= 9.2058e-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= 9.0589e-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= 9.2301e-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 -> 0.179 sec
Sensitivity checks complete with 425 total errors (max config err= 6.0266e-04) with 0 suppressions
real 0m6.297s
user 0m6.486s
sys 0m0.021s
++++ set +x
data/basic/designF2ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 114 / 180 )
data/basic/designG0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.1167e-09)
d(Edge)/d(area) check complete with 0 total errors (errmax= 3.0049e-09)
d(Node)/d(area) check complete with 0 total errors (errmax= 3.4020e-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= 3.5586e-08)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 4.2852e-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= 5.4800e-07)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 1.2575e-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= 4.6805e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 5.1517e-11)
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= 1.6064e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.4690e-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= 8.8818e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.7764e-09)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
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= 276 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 2.59238648 1.74705093 0.54779471)
iface= 1, ipnt= 297 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.59375993 5.21353144 0.60830235)
iface= 1, ipnt= 298 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.44954841 3.23169896 0.57370934)
iface= 1, ipnt= 311 (X): anal= -0.09337563, fd= -0.09307219, err= -0.00030344 (at 4.06325965 7.04344645 0.15393468)
iface= 1, ipnt= 311 (Y): anal= 0.05367312, fd= 0.05349870, err= 0.00017442 (at 4.06325965 7.04344645 0.15393468)
iface= 1, ipnt= 313 (X): anal= -0.00704609, fd= -0.00716330, err= 0.00011721 (at 4.06415392 7.04344645 0.13045255)
iface= 1, ipnt= 314 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 0.02762136 0.01576762)
iface= 1, ipnt= 354 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 5.24360828 6.33910181 0.62794926)
iface= 1, ipnt= 364 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.76849239 3.78412613 0.58335199)
iface= 1, ipnt= 377 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.92865111 5.79357997 0.61842714)
...too many errors to list
iface= 2, ipnt= 227 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.86064373 0.59385921 0.09354874)
iface= 2, ipnt= 272 (Z): anal= -1.79113782, fd= -1.79100607, err= -0.00013175 (at 5.04040657 5.96966614 0.19020118)
iface= 2, ipnt= 305 (X): anal= -0.06320723, fd= -0.06300799, err= -0.00019924 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 305 (Y): anal= 0.03781182, fd= 0.03769263, err= 0.00011919 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 305 (Z): anal= -0.07557187, fd= -0.07533366, err= -0.00023821 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 367 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 4.29508330 4.81043224 0.16714930)
iface= 2, ipnt= 420 (Z): anal= -1.82180545, fd= -1.82200696, err= 0.00020151 (at 5.29823833 6.57043069 0.19734209)
iface= 2, ipnt= 442 (Z): anal= -1.80118824, fd= -1.80104307, err= -0.00014517 (at 4.82018792 5.63562033 0.18340331)
iface= 2, ipnt= 470 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 1.74855788 0.29692961 0.09059861)
iface= 2, ipnt= 557 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 3.12246584 2.77939921 0.13169749)
...too many errors to list
iface= 5, ipnt= 293 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.45353521 -3.23860430 0.57382987)
iface= 5, ipnt= 295 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.66153553 -5.33092222 0.61035142)
iface= 5, ipnt= 315 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 -0.02762136 0.01576762)
iface= 5, ipnt= 344 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.75653199 -3.76341011 0.58299039)
iface= 5, ipnt= 347 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.44026814 -4.94767587 0.60366183)
iface= 5, ipnt= 364 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.21900076 -4.56442952 0.59697224)
iface= 5, ipnt= 385 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.97979278 -4.15010914 0.58974025)
iface= 5, ipnt= 395 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.08674964 -2.60331305 0.56274082)
iface= 5, ipnt= 403 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 2.71199047 -1.95421112 0.55141071)
iface= 5, ipnt= 410 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 2.89937005 -2.27876209 0.55707576)
...too many errors to list
iface= 6, ipnt= 227 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.85267013 -0.58004853 0.09330768)
iface= 6, ipnt= 244 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 2.98691465 -2.54461766 0.12759936)
iface= 6, ipnt= 290 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 3.41350222 -3.28348901 0.14049641)
iface= 6, ipnt= 344 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 3.16980909 -2.86140012 0.13312882)
iface= 6, ipnt= 408 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 4.25627939 -4.58902979 0.16654589)
iface= 6, ipnt= 429 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 4.03202190 -4.20060443 0.15976590)
iface= 6, ipnt= 462 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 1.74457108 -0.29002427 0.09047808)
iface= 6, ipnt= 470 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 3.29165565 -3.07244456 0.13681261)
iface= 6, ipnt= 541 (Z): anal= -1.82241297, fd= -1.82259757, err= 0.00018460 (at 1.95145907 -0.77685071 0.09613784)
iface= 6, ipnt= 558 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 3.82867063 -3.89979057 0.15348678)
...too many errors to list
d(Face)/d(thick_r) check complete with 2350 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= 248 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.64848129 2.27876209 0.56147084)
iface= 1, ipnt= 251 (Z): anal= 3.76178221, fd= 3.76116123, err= 0.00062098 (at 1.83307985 0.64910193 0.53318340)
iface= 1, ipnt= 252 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.43786763 3.64601934 0.58533641)
iface= 1, ipnt= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.60998675 5.67618920 0.62077315)
iface= 1, ipnt= 256 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.83654760 4.33655331 0.59738972)
iface= 1, ipnt= 269 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.07245551 6.47720860 0.63475500)
iface= 1, ipnt= 272 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.05513486 2.98310673 0.57376522)
iface= 1, ipnt= 273 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.10627653 1.33963589 0.54507833)
iface= 1, ipnt= 276 (Z): anal= 3.75043366, fd= 3.75076301, err= -0.00032935 (at 2.59238648 1.74705093 0.54779471)
iface= 1, ipnt= 280 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.90500992 6.18718434 0.62969261)
...too many errors to list
iface= 2, ipnt= 227 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 1.86064373 0.59385921 0.09354874)
iface= 2, ipnt= 237 (Z): anal= 3.75623407, fd= 3.75572550, err= 0.00050857 (at 2.29567510 1.45012133 0.10590774)
iface= 2, ipnt= 242 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.92278882 4.37108000 0.15371947)
iface= 2, ipnt= 249 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.44505958 5.27567950 0.16950931)
iface= 2, ipnt= 252 (Z): anal= 3.75623407, fd= 3.75572550, err= 0.00050857 (at 2.04849352 1.02199027 0.09843468)
iface= 2, ipnt= 259 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.61113171 2.09922326 0.11406406)
iface= 2, ipnt= 272 (Z): anal= 3.76232571, fd= 3.76262770, err= -0.00030198 (at 5.04040657 5.96966614 0.19020118)
iface= 2, ipnt= 277 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.84236610 2.49973296 0.12105498)
iface= 2, ipnt= 289 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.70351483 3.99128632 0.14709014)
iface= 2, ipnt= 367 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 4.29508330 4.81043224 0.16714930)
...too many errors to list
iface= 5, ipnt= 200 (Z): anal= 3.76178221, fd= 3.76116123, err= 0.00062098 (at 1.79321186 -0.58004853 0.53197807)
iface= 5, ipnt= 250 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.41394683 -3.60458730 0.58461321)
iface= 5, ipnt= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.89236280 -4.43322806 0.59907719)
iface= 5, ipnt= 260 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.40927331 -1.86444171 0.55423885)
iface= 5, ipnt= 263 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.77605888 -2.49973296 0.56532790)
iface= 5, ipnt= 268 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.08042911 -6.49101928 0.63499607)
iface= 5, ipnt= 276 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.06310846 -2.99691741 0.57400629)
iface= 5, ipnt= 278 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.67377554 -5.78667464 0.62270168)
iface= 5, ipnt= 284 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.26712197 -5.08232999 0.61040730)
iface= 5, ipnt= 285 (Z): anal= 3.76277185, fd= 3.76200361, err= 0.00076824 (at 2.27907125 -1.36725725 0.54495366)
...too many errors to list
iface= 6, ipnt= 227 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 1.85267013 -0.58004853 0.09330768)
iface= 6, ipnt= 236 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.94670962 -4.41251204 0.15444267)
iface= 6, ipnt= 244 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 2.98691465 -2.54461766 0.12759936)
iface= 6, ipnt= 249 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.44505958 -5.27567950 0.16950931)
iface= 6, ipnt= 251 (Z): anal= 3.75623407, fd= 3.75572550, err= 0.00050857 (at 2.24783350 -1.36725725 0.10446134)
iface= 6, ipnt= 264 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.59188444 -3.79793681 0.14371521)
iface= 6, ipnt= 266 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.49950132 -1.90587375 0.11068913)
iface= 6, ipnt= 267 (Z): anal= 3.73403551, fd= 3.73418441, err= -0.00014890 (at 4.79162965 -5.86953871 0.18009434)
iface= 6, ipnt= 290 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 3.41350222 -3.28348901 0.14049641)
iface= 6, ipnt= 291 (Z): anal= 3.76255063, fd= 3.76180354, err= 0.00074709 (at 2.05024912 -0.97365289 0.09894276)
...too many errors to list
d(Face)/d(camber_r) check complete with 148 total errors (errmax= 7.6824e-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= 4.6805e-10)
d(Edge)/d(thick_t) check complete with 0 total errors (errmax= 5.1517e-11)
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= 4.6805e-10)
d(Edge)/d(camber_t) check complete with 0 total errors (errmax= 5.1517e-11)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.044 sec
Sensitivity checks complete with 2528 total errors (max config err= 7.6824e-04) with 0 suppressions
real 0m1.089s
user 0m1.295s
sys 0m0.018s
++++ set +x
data/basic/designG0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 115 / 180 )
data/basic/designG1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.5113e-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= 8.1879e-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= 5.6347e-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= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 3.8230e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 7.7151e-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= 2.6669e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.4640e-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=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= 1.4669e-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=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12555 total errors (errmax= 8.8556e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10742 total errors (errmax= 4.2871e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12734 total errors (errmax= 9.5213e-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= 3.9762e-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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12398 total errors (errmax= 2.9023e-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 -> 0.432 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m4.054s
user 0m4.261s
sys 0m0.021s
++++ set +x
data/basic/designG1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 116 / 180 )
data/basic/designG2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.5113e-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= 1.0523e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3640e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 3.3995e-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= 8.1879e-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= 5.6347e-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= 8.4181e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0916e-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= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 5.6060e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 3.8230e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 7.7151e-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= 3.9373e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 6.3577e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.2045e-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= 2.6669e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.4640e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 1.6058e-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= 4.5297e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.9954e-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= 1.4669e-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)
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= 2.3067e-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= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12555 total errors (errmax= 8.8556e-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= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431182, err= -0.00180231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12508 total errors (errmax= 8.8534e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10742 total errors (errmax= 4.2871e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504837 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10679 total errors (errmax= 4.2443e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12734 total errors (errmax= 9.5213e-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= 3.9762e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12692 total errors (errmax= 9.5213e-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= 0.00010794, err= -0.00010794 (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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12398 total errors (errmax= 2.9023e-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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 6.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12390 total errors (errmax= 2.9023e-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= 1.4722e-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= 2.9626e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.5711e-09)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.756 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m9.844s
user 0m10.216s
sys 0m0.029s
++++ set +x
data/basic/designG2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 117 / 180 )
data/basic/designG3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.5113e-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= 8.1879e-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= 5.6347e-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= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 3.8230e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 7.7151e-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= 2.6669e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.4640e-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=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= 1.4669e-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=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12555 total errors (errmax= 8.8556e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10742 total errors (errmax= 4.2871e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12734 total errors (errmax= 9.5213e-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= 3.9762e-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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12398 total errors (errmax= 2.9023e-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 -> 0.385 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m3.897s
user 0m4.102s
sys 0m0.021s
++++ set +x
data/basic/designG3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 118 / 180 )
data/basic/designG4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.5113e-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= 1.0523e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3640e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 3.3995e-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= 8.1879e-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= 5.6347e-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= 8.4181e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0916e-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= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 5.6060e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-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= 3.8230e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 7.7151e-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= 3.9373e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 6.3577e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.2045e-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= 2.6669e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.4640e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 1.6058e-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= 4.5297e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.9954e-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= 1.4669e-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)
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= 2.3067e-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= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12555 total errors (errmax= 8.8556e-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= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431182, err= -0.00180231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12508 total errors (errmax= 8.8534e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10742 total errors (errmax= 4.2871e-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= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504837 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10679 total errors (errmax= 4.2443e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12734 total errors (errmax= 9.5213e-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= 3.9762e-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= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12692 total errors (errmax= 9.5213e-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= 0.00010794, err= -0.00010794 (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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12398 total errors (errmax= 2.9023e-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= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891635, err= 0.00724061 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 6.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12390 total errors (errmax= 2.9023e-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= 1.4722e-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= 2.9626e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.5711e-09)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.774 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m9.651s
user 0m10.085s
sys 0m0.029s
++++ set +x
data/basic/designG4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 119 / 180 )
data/basic/designG5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG5.csm
--> ocsmCheck() -> status=0 (success)
ERROR:: config error with .csen file
*********************************************************
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= 6.7870e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2097e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (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= 0.07382667, err= -0.07382667 (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)
*********************************************************
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
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164396, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067513, err= -0.00029251 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519091, err= 0.00222998 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 5.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 5.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 5.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
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)
*********************************************************
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
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946242 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02503914, fd= 0.00000000, err= 40.02503914 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982228, fd= -0.00000000, err= 3.46982228 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171575, fd= 0.00000000, err= -8.29171575 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80309022, fd= 0.00000000, err= 16.80309022 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02503914, fd= -0.00000000, err= -40.02503914 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982228, fd= 0.00000000, err= -3.46982228 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171575, fd= -0.00000000, err= 8.29171575 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80309022, fd= -0.00000000, err= -16.80309022 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
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)
*********************************************************
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
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 5.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003197, err= 0.00018694 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086816 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 5.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 5.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
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)
*********************************************************
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
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024965, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300409 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016596 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1110e-05)
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)
*********************************************************
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
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736880, err= -0.00041753 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 5.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 4.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 4.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 5.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5552e-05)
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)
*********************************************************
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= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835807, err= 0.00835807 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220320, err= -0.00220320 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 5.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15050 total errors (errmax= 8.8575e-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= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 5.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069084, err= -0.00069084 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 13998 total errors (errmax= 9.4679e-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= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325729, err= -0.00859585 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559012 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302082 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562084, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16486 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at -0.00327219 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64506243.15297928, fd= -0.00000000, err=-64506243.15297928 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487834.85049411, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179552.04204761, fd= 0.06926993, err=-7179552.11131755 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164215055.29622802, fd= -0.00000000, err=-164215055.29622802 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13959127.81631415, fd= 0.13468081, err=-13959127.95099496 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17582592.02699362, fd= 0.09658210, err=-17582592.12357571 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409292243.24453133, fd= -0.00000000, err=-409292243.24453133 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34835191.33759494, fd= 0.19135153, err=-34835191.52894647 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99015688.57684021, fd= 0.12220877, err=-99015688.69904898 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
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= 7, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.07650500, fd= 0.00000000, err=226586.07650500 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442626.99656420, fd= 0.00000000, err=2442626.99656420 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760595.22268066, fd= -0.00000000, err=2760595.22268066 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555866 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64506243.15297928, fd= 0.00000000, err=64506243.15297928 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487834.85049412, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179552.04204762, fd= 0.06926993, err=-7179552.11131756 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164215055.29622802, fd= 0.00000000, err=164215055.29622802 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13959127.81631416, fd= 0.13468081, err=-13959127.95099497 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17582592.02699365, fd= 0.09658210, err=-17582592.12357575 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409292243.24453133, fd= 0.00000000, err=409292243.24453133 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34835191.33759497, fd= 0.19135153, err=-34835191.52894650 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99015688.57684033, fd= 0.12220877, err=-99015688.69904910 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.07650500, fd= -0.00000000, err=-226586.07650500 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442626.99656420, fd= -0.00000000, err=-2442626.99656420 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760595.22268066, fd= 0.00000000, err=-2760595.22268066 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555866 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0025e+11)
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)
*********************************************************
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= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475701, err= -0.01172587 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 1.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225907 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16134 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6049478.03590256, fd= 0.09394856, err=-6049478.12985112 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135575001.82579345, fd= 0.00000000, err=-135575001.82579345 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11533972.25345311, fd= 0.17912290, err=-11533972.43257601 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18148657.35685206, fd= 0.17844379, err=-18148657.53529585 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415107064.41045517, fd= 0.00000000, err=-415107064.41045517 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35286244.35829501, fd= 0.34694638, err=-35286244.70524139 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47278897.44212347, fd= 0.25534340, err=-47278897.69746687 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100570721.35445690, fd= 0.00000000, err=-1100570721.35445690 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93670457.46715811, fd= 0.50589448, err=-93670457.97305259 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273094431.28390968, fd= 0.32501459, err=-273094431.60892427 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.15529484, fd= -0.00000000, err=168711.15529484 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571590.00835048, fd= 0.00000000, err=-1571590.00835048 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434398.99485862, fd= -0.00000000, err=-4434398.99485862 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329393, err= 0.06566783 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6049478.03590257, fd= 0.09394856, err=-6049478.12985113 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135575001.82579345, fd= -0.00000000, err=135575001.82579345 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11533972.25345312, fd= 0.17912290, err=-11533972.43257602 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18148657.35685208, fd= 0.17844379, err=-18148657.53529587 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415107064.41045517, fd= -0.00000000, err=415107064.41045517 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35286244.35829505, fd= 0.34694638, err=-35286244.70524143 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47278897.44212357, fd= 0.25534340, err=-47278897.69746697 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100570721.35445690, fd= -0.00000000, err=1100570721.35445690 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93670457.46715821, fd= 0.50589448, err=-93670457.97305270 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273094431.28390998, fd= 0.32501459, err=-273094431.60892457 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.15529484, fd= 0.00000000, err=-168711.15529484 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571590.00835048, fd= -0.00000000, err=1571590.00835048 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434398.99485862, fd= 0.00000000, err=4434398.99485862 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329393, err= -0.06566783 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2114e+11)
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
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
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)
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)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 7.07396588 -0.36829084)
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)
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)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-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)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.375 sec
Sensitivity checks complete with 80040 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m15.842s
user 0m16.126s
sys 0m0.035s
++++ set +x
data/basic/designG5 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 120 / 180 )
data/basic/designG6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG6.csm
--> ocsmCheck() -> status=0 (success)
ERROR:: config error with .csen file
*********************************************************
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= 6.7870e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2097e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (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= 0.07382667, err= -0.07382667 (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= 6.7789e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2131e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 6 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
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164396, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067513, err= -0.00029251 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519091, err= 0.00222998 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 5.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 5.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 5.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
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
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164396, err= -0.00012912 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067513, err= -0.00029251 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519091, err= 0.00222998 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 10.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 10.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 10.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 10.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.70623919, err= 0.70623919 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 6 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
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946242 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02503914, fd= 0.00000000, err= 40.02503914 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982228, fd= -0.00000000, err= 3.46982228 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171575, fd= 0.00000000, err= -8.29171575 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80309022, fd= 0.00000000, err= 16.80309022 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02503914, fd= -0.00000000, err= -40.02503914 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982228, fd= 0.00000000, err= -3.46982228 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171575, fd= -0.00000000, err= 8.29171575 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80309022, fd= -0.00000000, err= -16.80309022 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
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
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946242 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02503914, fd= 0.00000000, err= 40.02503914 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174396, err= 1.60627289 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982228, fd= -0.00000000, err= 3.46982228 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 9.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 9.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 9.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171575, fd= 0.00000000, err= -8.29171575 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80309022, fd= 0.00000000, err= 16.80309022 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 9.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046593 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 10.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02503914, fd= -0.00000000, err= -40.02503914 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174396, err= 1.60627289 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982228, fd= 0.00000000, err= -3.46982228 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 9.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 9.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 9.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171575, fd= -0.00000000, err= 8.29171575 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80309022, fd= -0.00000000, err= -16.80309022 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 9.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046593 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 10.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00860467, err= 0.00860467 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 6 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
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 5.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003197, err= 0.00018694 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086816 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 5.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 5.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
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
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 10.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003197, err= 0.00018694 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 10.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 10.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086816 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 10.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 10.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852664, err= 0.00852664 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 4 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
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024965, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300409 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016596 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1110e-05)
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
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024965, err= -0.00016409 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300409 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016596 (at 10.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 9.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1111e-05)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, 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 2 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
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736880, err= -0.00041753 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 5.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 4.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 4.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 5.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5552e-05)
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
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736880, err= -0.00041753 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 10.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 9.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 9.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 10.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5552e-05)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, 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 2 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= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835807, err= 0.00835807 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220320, err= -0.00220320 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 5.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15050 total errors (errmax= 8.8575e-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= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880601, err= 0.00195351 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 9.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835807, err= 0.00835807 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 9.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220320, err= -0.00220320 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 10.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15061 total errors (errmax= 8.8645e-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= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 5.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069084, err= -0.00069084 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 13998 total errors (errmax= 9.4679e-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= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 9.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 10.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069084, err= -0.00069084 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 13978 total errors (errmax= 9.4679e-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= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325729, err= -0.00859585 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559012 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302082 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562084, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16486 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at -0.00327219 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64506243.15297928, fd= -0.00000000, err=-64506243.15297928 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487834.85049411, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179552.04204761, fd= 0.06926993, err=-7179552.11131755 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164215055.29622802, fd= -0.00000000, err=-164215055.29622802 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13959127.81631415, fd= 0.13468081, err=-13959127.95099496 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17582592.02699362, fd= 0.09658210, err=-17582592.12357571 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409292243.24453133, fd= -0.00000000, err=-409292243.24453133 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34835191.33759494, fd= 0.19135153, err=-34835191.52894647 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99015688.57684021, fd= 0.12220877, err=-99015688.69904898 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
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= 7, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.07650500, fd= 0.00000000, err=226586.07650500 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442626.99656420, fd= 0.00000000, err=2442626.99656420 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760595.22268066, fd= -0.00000000, err=2760595.22268066 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555866 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64506243.15297928, fd= 0.00000000, err=64506243.15297928 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487834.85049412, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179552.04204762, fd= 0.06926993, err=-7179552.11131756 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164215055.29622802, fd= 0.00000000, err=164215055.29622802 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13959127.81631416, fd= 0.13468081, err=-13959127.95099497 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17582592.02699365, fd= 0.09658210, err=-17582592.12357575 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409292243.24453133, fd= 0.00000000, err=409292243.24453133 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34835191.33759497, fd= 0.19135153, err=-34835191.52894650 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99015688.57684033, fd= 0.12220877, err=-99015688.69904910 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.07650500, fd= -0.00000000, err=-226586.07650500 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442626.99656420, fd= -0.00000000, err=-2442626.99656420 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760595.22268066, fd= 0.00000000, err=-2760595.22268066 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555866 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0025e+11)
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= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325730, err= -0.00859585 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559012 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302082 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562083, err= -0.32581115 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16498 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at 4.99672781 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2878326.36174279, fd= 0.04015703, err=-2878326.40189982 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64506243.15297928, fd= -0.00000000, err=-64506243.15297928 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487834.85049415, fd= 0.07656365, err=-5487834.92705780 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179552.04204722, fd= 0.06926994, err=-7179552.11131716 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164215055.29622802, fd= -0.00000000, err=-164215055.29622802 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13959127.81631435, fd= 0.13468081, err=-13959127.95099516 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17582592.02699345, fd= 0.09658210, err=-17582592.12357555 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409292243.24453133, fd= -0.00000000, err=-409292243.24453133 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34835191.33759503, fd= 0.19135153, err=-34835191.52894656 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99015688.57684125, fd= 0.12220877, err=-99015688.69905002 (at 10.68589998 7.07106781 -0.24808616)
...too many errors to list
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= 7, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.07650500, fd= 0.00000000, err=226586.07650500 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.85986793, fd= 0.00104868, err=-9414.86091661 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382736.63227568, fd= -0.05436935, err=1382736.68664503 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442626.99656420, fd= 0.00000000, err=2442626.99656420 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.83728969, fd= -0.00599238, err=152399.84328207 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329394.32754128, fd= -0.16122395, err=1329394.48876523 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760595.22268066, fd= -0.00000000, err=2760595.22268066 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.11652877, fd= -0.06948560, err=572953.18601438 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094569 (at 9.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354171, err= 0.04876121 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555866 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 10.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2878326.36174279, fd= 0.04015703, err=-2878326.40189982 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64506243.15297928, fd= 0.00000000, err=64506243.15297928 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487834.85049415, fd= 0.07656365, err=-5487834.92705780 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179552.04204723, fd= 0.06926994, err=-7179552.11131716 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164215055.29622802, fd= 0.00000000, err=164215055.29622802 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13959127.81631436, fd= 0.13468081, err=-13959127.95099517 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17582592.02699348, fd= 0.09658210, err=-17582592.12357558 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409292243.24453133, fd= 0.00000000, err=409292243.24453133 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34835191.33759505, fd= 0.19135153, err=-34835191.52894658 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99015688.57684137, fd= 0.12220877, err=-99015688.69905014 (at 10.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.07650500, fd= -0.00000000, err=-226586.07650500 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.85986793, fd= 0.00104868, err=-9414.86091661 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382736.63227568, fd= -0.05436935, err=1382736.68664503 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442626.99656420, fd= -0.00000000, err=-2442626.99656420 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.83728969, fd= -0.00599238, err=152399.84328207 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329394.32754128, fd= -0.16122395, err=1329394.48876523 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760595.22268066, fd= 0.00000000, err=-2760595.22268066 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.11652878, fd= -0.06948560, err=572953.18601438 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094569 (at 9.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354171, err= 0.04876121 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555866 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 10.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0025e+11)
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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.03786517, err= 0.03786517 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 6 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= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475701, err= -0.01172587 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 1.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225907 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16134 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6049478.03590256, fd= 0.09394856, err=-6049478.12985112 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135575001.82579345, fd= 0.00000000, err=-135575001.82579345 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11533972.25345311, fd= 0.17912290, err=-11533972.43257601 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18148657.35685206, fd= 0.17844379, err=-18148657.53529585 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415107064.41045517, fd= 0.00000000, err=-415107064.41045517 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35286244.35829501, fd= 0.34694638, err=-35286244.70524139 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47278897.44212347, fd= 0.25534340, err=-47278897.69746687 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100570721.35445690, fd= 0.00000000, err=-1100570721.35445690 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93670457.46715811, fd= 0.50589448, err=-93670457.97305259 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273094431.28390968, fd= 0.32501459, err=-273094431.60892427 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.15529484, fd= -0.00000000, err=168711.15529484 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571590.00835048, fd= 0.00000000, err=-1571590.00835048 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434398.99485862, fd= -0.00000000, err=-4434398.99485862 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329393, err= 0.06566783 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6049478.03590257, fd= 0.09394856, err=-6049478.12985113 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135575001.82579345, fd= -0.00000000, err=135575001.82579345 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11533972.25345312, fd= 0.17912290, err=-11533972.43257602 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18148657.35685208, fd= 0.17844379, err=-18148657.53529587 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415107064.41045517, fd= -0.00000000, err=415107064.41045517 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35286244.35829505, fd= 0.34694638, err=-35286244.70524143 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47278897.44212357, fd= 0.25534340, err=-47278897.69746697 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100570721.35445690, fd= -0.00000000, err=1100570721.35445690 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93670457.46715821, fd= 0.50589448, err=-93670457.97305270 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273094431.28390998, fd= 0.32501459, err=-273094431.60892457 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.15529484, fd= 0.00000000, err=-168711.15529484 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571590.00835048, fd= -0.00000000, err=1571590.00835048 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434398.99485862, fd= 0.00000000, err=4434398.99485862 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329393, err= -0.06566783 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2114e+11)
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= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553563, err= 0.59076285 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475701, err= -0.01172587 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 6.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225907 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553563, err= -0.59076285 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16132 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6049478.03590241, fd= 0.09394856, err=-6049478.12985097 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135575001.82579345, fd= 0.00000000, err=-135575001.82579345 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11533972.25345319, fd= 0.17912290, err=-11533972.43257609 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18148657.35685107, fd= 0.17844379, err=-18148657.53529486 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415107064.41045517, fd= 0.00000000, err=-415107064.41045517 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35286244.35829552, fd= 0.34694638, err=-35286244.70524190 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47278897.44212301, fd= 0.25534340, err=-47278897.69746641 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100570721.35445690, fd= 0.00000000, err=-1100570721.35445690 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93670457.46715835, fd= 0.50589448, err=-93670457.97305283 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273094431.28391254, fd= 0.32501459, err=-273094431.60892713 (at 10.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 6.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.15529484, fd= -0.00000000, err=168711.15529484 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11000534, fd= -0.00556089, err=-7010.10444446 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889654.78588073, fd= 0.14871645, err=-889654.93459718 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571590.00835048, fd= 0.00000000, err=-1571590.00835048 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.27978651, fd= 0.01639095, err=-98054.29617746 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135432.54167669, fd= 0.25789372, err=-2135432.79957041 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434398.99485862, fd= -0.00000000, err=-4434398.99485862 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920345.98353785, fd= 0.11114912, err=-920346.09468697 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 9.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329394, err= 0.06566783 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738795 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252668, err= 0.15757580 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062993, err= 0.32643106 (at 10.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6049478.03590242, fd= 0.09394856, err=-6049478.12985097 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135575001.82579345, fd= -0.00000000, err=135575001.82579345 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11533972.25345320, fd= 0.17912290, err=-11533972.43257610 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18148657.35685109, fd= 0.17844379, err=-18148657.53529488 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415107064.41045517, fd= -0.00000000, err=415107064.41045517 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35286244.35829555, fd= 0.34694638, err=-35286244.70524193 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47278897.44212311, fd= 0.25534340, err=-47278897.69746651 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100570721.35445690, fd= -0.00000000, err=1100570721.35445690 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93670457.46715845, fd= 0.50589448, err=-93670457.97305293 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273094431.28391278, fd= 0.32501459, err=-273094431.60892737 (at 10.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.15529484, fd= 0.00000000, err=-168711.15529484 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11000534, fd= -0.00556089, err=-7010.10444446 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889654.78588073, fd= 0.14871645, err=-889654.93459718 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571590.00835048, fd= -0.00000000, err=1571590.00835048 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.27978651, fd= 0.01639095, err=-98054.29617746 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135432.54167669, fd= 0.25789372, err=-2135432.79957041 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434398.99485862, fd= 0.00000000, err=4434398.99485862 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920345.98353785, fd= 0.11114912, err=-920346.09468697 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 9.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329394, err= -0.06566783 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738795 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252668, err= 0.15757580 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062993, err= 0.32643106 (at 10.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2114e+11)
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
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
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)
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)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 7.07396588 -0.36829084)
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)
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)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-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
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
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)
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)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 10.90377736 7.07396588 -0.36829084)
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)
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)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 10.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-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)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00378652, err= 0.00378652 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, 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 6 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= 3.9428e-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= 4.5475e-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 -> 2.724 sec
Sensitivity checks complete with 160081 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m40.180s
user 0m40.747s
sys 0m0.054s
++++ set +x
data/basic/designG6 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 121 / 180 )
data/basic/designH1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.175s
user 0m0.168s
sys 0m0.038s
++++ set +x
data/basic/designH1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 122 / 180 )
data/basic/designH2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.019 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions
real 0m0.384s
user 0m0.278s
sys 0m0.038s
++++ set +x
data/basic/designH2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 123 / 180 )
data/basic/designH3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 3
Tests suppressed for ibody= 4, iface= 6
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= 2
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 8
Tests suppressed for ibody= 4, iedge= 9
Tests suppressed for ibody= 4, iedge= 10
Tests suppressed for ibody= 4, iedge= 11
Tests suppressed for ibody= 4, iedge= 15
Tests suppressed for ibody= 4, iedge= 16
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= 2
Tests suppressed for ibody= 4, inode= 3
Tests suppressed for ibody= 4, inode= 5
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= 11
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 -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 21 suppressions
real 0m0.146s
user 0m0.141s
sys 0m0.034s
++++ set +x
data/basic/designH3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 124 / 180 )
data/basic/designH4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1
Tests suppressed for ibody= 4, iface= 6
d(Face)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 6
Tests suppressed for ibody= 4, iedge= 7
Tests suppressed for ibody= 4, iedge= 8
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
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= 1
Tests suppressed for ibody= 4, iface= 6
d(Face)/d(Z) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 6
Tests suppressed for ibody= 4, iedge= 7
Tests suppressed for ibody= 4, iedge= 8
d(Edge)/d(Z) 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
d(Node)/d(Z) 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 total errors (max config err= 1.3978e-10) with 20 suppressions
real 0m0.198s
user 0m0.248s
sys 0m0.043s
++++ set +x
data/basic/designH4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 125 / 180 )
data/basic/designI1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.5888e-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= 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= 1.5888e-09)
*********************************************************
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= 3.8744e-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= 6.7515e-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= 3.9831e-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 -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5888e-09) with 0 suppressions
real 0m0.338s
user 0m0.394s
sys 0m0.109s
++++ set +x
data/basic/designI1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 126 / 180 )
data/basic/designI2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.2828e-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= 1.8701e-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= 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= 2.7756e-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= 8.8818e-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= 4.1253e-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= 2.7756e-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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m0.386s
user 0m0.433s
sys 0m0.105s
++++ set +x
data/basic/designI2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 127 / 180 )
data/basic/designI3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.1102e-09)
*********************************************************
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= 1.2978e-09)
*********************************************************
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= 3.9926e-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= 3.4507e-11)
*********************************************************
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 -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions
real 0m0.371s
user 0m0.409s
sys 0m0.093s
++++ set +x
data/basic/designI3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 128 / 180 )
data/basic/designI4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.5888e-09)
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= 1.2828e-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= 1.8701e-09)
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= 1.1102e-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= 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= 1.5888e-09)
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= 2.7756e-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= 8.8818e-10)
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= 1.2978e-09)
*********************************************************
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= 3.8744e-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= 6.7515e-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= 4.1253e-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= 3.9926e-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= 3.4507e-11)
*********************************************************
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 -> 0.060 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m2.173s
user 0m2.460s
sys 0m0.623s
++++ set +x
data/basic/designI4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 129 / 180 )
data/basic/designJ1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1133e-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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.082s
user 0m0.077s
sys 0m0.011s
++++ set +x
data/basic/designJ1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 130 / 180 )
data/basic/designJ1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1133e-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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1721e-10) with 0 suppressions
real 0m0.083s
user 0m0.070s
sys 0m0.012s
++++ set +x
data/basic/designJ1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 131 / 180 )
data/basic/designJ1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 9 suppressions
real 0m0.039s
user 0m0.028s
sys 0m0.010s
++++ set +x
data/basic/designJ1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 132 / 180 )
data/basic/designJ1d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 2.7778e-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= 1.8768e-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 -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 9 suppressions
real 0m0.037s
user 0m0.025s
sys 0m0.010s
++++ set +x
data/basic/designJ1d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 133 / 180 )
data/basic/designJ2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4409e-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= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.034 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.230s
user 0m0.251s
sys 0m0.012s
++++ set +x
data/basic/designJ2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 134 / 180 )
data/basic/designJ2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.075 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.294s
user 0m0.324s
sys 0m0.013s
++++ set +x
data/basic/designJ2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 135 / 180 )
data/basic/designJ3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.4409e-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= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.193s
user 0m0.207s
sys 0m0.011s
++++ set +x
data/basic/designJ3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 136 / 180 )
data/basic/designJ3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.077 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.287s
user 0m0.304s
sys 0m0.013s
++++ set +x
data/basic/designJ3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 137 / 180 )
data/basic/designJ4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.096 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.547s
user 0m0.555s
sys 0m0.018s
++++ set +x
data/basic/designJ4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 138 / 180 )
data/basic/designJ4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.9259e-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 -> 0.111 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions
real 0m1.290s
user 0m1.476s
sys 0m0.015s
++++ set +x
data/basic/designJ4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 139 / 180 )
data/basic/designJ5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 45 suppressions
real 0m1.942s
user 0m1.959s
sys 0m0.035s
++++ set +x
data/basic/designJ5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 140 / 180 )
data/basic/designK0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 4.3933e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.8019e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 4.9836e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 4.0814e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 3.5922e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.317 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m3.551s
user 0m4.245s
sys 0m0.936s
++++ set +x
data/basic/designK0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 141 / 180 )
data/basic/designK1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 4.6833e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.8887e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 4.9836e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 4.0814e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 3.7102e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.381 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m4.928s
user 0m5.635s
sys 0m0.918s
++++ set +x
data/basic/designK1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 142 / 180 )
data/basic/designK2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 5.0128e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.9960e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 3.5120e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 3.5156e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 4.1356e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.613 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m27.935s
user 0m28.535s
sys 0m0.984s
++++ set +x
data/basic/designK2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 143 / 180 )
data/basic/designL00.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL00.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "xbeg" for ibody=5
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ybeg" for ibody=5
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "zbeg" for ibody=5
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
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= 1.9208e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-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= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
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= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "diam" for ibody=5
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
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= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.019 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.494s
user 0m0.669s
sys 0m0.117s
++++ set +x
data/basic/designL00 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 144 / 180 )
data/basic/designL01.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL01.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xbeg" for ibody=7
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ybeg" for ibody=7
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zbeg" for ibody=7
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xsize" for ibody=7
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.9208e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ysize" for ibody=7
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zsize" for ibody=7
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "diam" for ibody=7
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "scale" for ibody=7
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.024 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.535s
user 0m0.703s
sys 0m0.113s
++++ set +x
data/basic/designL01 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 145 / 180 )
data/basic/designL10.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL10.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xbeg" for ibody=7
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ybeg" for ibody=7
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zbeg" for ibody=7
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xsize" for ibody=7
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.9208e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ysize" for ibody=7
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zsize" for ibody=7
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "diam" for ibody=7
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "scale" for ibody=7
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.584s
user 0m0.755s
sys 0m0.107s
++++ set +x
data/basic/designL10 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 146 / 180 )
data/basic/designL11.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL11.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbeg" for ibody=10
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybeg" for ibody=10
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbeg" for ibody=10
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xsize" for ibody=10
d(Face)/d(xsize) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ysize" for ibody=10
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zsize" for ibody=10
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "diam" for ibody=10
d(Face)/d(diam) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "scale" for ibody=10
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.2804e-08)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.225 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.060s
user 0m1.293s
sys 0m0.118s
++++ set +x
data/basic/designL11 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 147 / 180 )
data/basic/designL12.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL12.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbeg" for ibody=10
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybeg" for ibody=10
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbeg" for ibody=10
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xsize" for ibody=10
d(Face)/d(xsize) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ysize" for ibody=10
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zsize" for ibody=10
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "diam" for ibody=10
d(Face)/d(diam) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "scale" for ibody=10
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.2804e-08)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.271 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.137s
user 0m1.363s
sys 0m0.114s
++++ set +x
data/basic/designL12 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 148 / 180 )
data/basic/designL20.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL20.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
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 "ybeg"
*********************************************************
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 "zbeg"
*********************************************************
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 "xsize"
*********************************************************
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 "ysize"
*********************************************************
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 "zsize"
*********************************************************
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 "diam"
*********************************************************
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 "scale"
*********************************************************
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 -> 0.415 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.509s
user 0m0.698s
sys 0m0.110s
++++ set +x
data/basic/designL20 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 149 / 180 )
data/basic/designL21.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL21.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
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=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.695 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.859s
user 0m1.092s
sys 0m0.116s
++++ set +x
data/basic/designL21 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 150 / 180 )
data/basic/designL22.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL22.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
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=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.713 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.824s
user 0m1.037s
sys 0m0.121s
++++ set +x
data/basic/designL22 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 151 / 180 )
data/basic/designL30.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL30.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xbeg" for ibody=8
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "ybeg" for ibody=8
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "zbeg" for ibody=8
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
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= 1.9208e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
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= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
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= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "diam" for ibody=8
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
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= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.573s
user 0m0.760s
sys 0m0.113s
++++ set +x
data/basic/designL30 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 152 / 180 )
data/basic/designL31.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL31.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.2908e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.9860e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012134 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.152 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.300s
user 0m2.935s
sys 0m0.399s
++++ set +x
data/basic/designL31 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 153 / 180 )
data/basic/designL32.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL32.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.2908e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.9860e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012134 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.158 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.303s
user 0m2.881s
sys 0m0.436s
++++ set +x
data/basic/designL32 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 154 / 180 )
data/basic/designL33.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL33.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.2908e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.9860e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012134 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.136 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.165s
user 0m2.809s
sys 0m0.393s
++++ set +x
data/basic/designL33 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 155 / 180 )
data/basic/designL34.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL34.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.2908e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.9860e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012134 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074666 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.141 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.154s
user 0m2.714s
sys 0m0.399s
++++ set +x
data/basic/designL34 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 156 / 180 )
data/basic/designL40.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL40.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "xbeg" for ibody=9
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "ybeg" for ibody=9
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "zbeg" for ibody=9
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "xsize" for ibody=9
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.9208e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "ysize" for ibody=9
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "zsize" for ibody=9
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "diam" for ibody=9
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "scale" for ibody=9
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.566s
user 0m0.729s
sys 0m0.120s
++++ set +x
data/basic/designL40 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 157 / 180 )
data/basic/designL41.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL41.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbeg" for ibody=18
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016421 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0802e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybeg" for ibody=18
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.9223e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbeg" for ibody=18
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 5.7979e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xsize" for ibody=18
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013611 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8367e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ysize" for ibody=18
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025514 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025513 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5514e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zsize" for ibody=18
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "diam" for ibody=18
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378319, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013672 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010774 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3365e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 3.3183e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "scale" for ibody=18
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.2346e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.140 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m2.606s
user 0m3.253s
sys 0m0.373s
++++ set +x
data/basic/designL41 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 158 / 180 )
data/basic/designL42.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL42.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbeg" for ibody=18
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016421 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0802e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybeg" for ibody=18
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.9223e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbeg" for ibody=18
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 5.7979e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xsize" for ibody=18
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013611 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011569 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8367e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ysize" for ibody=18
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025514 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025513 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5514e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zsize" for ibody=18
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "diam" for ibody=18
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378319, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013672 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024503 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010774 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3365e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 3.3183e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "scale" for ibody=18
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.2346e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.244 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m2.795s
user 0m3.470s
sys 0m0.390s
++++ set +x
data/basic/designL42 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 159 / 180 )
data/basic/designM0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "a" for ibody=5
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "b" for ibody=5
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "c" for ibody=5
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "d" for ibody=5
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "e" for ibody=5
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "f" for ibody=5
d(Face)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "g" for ibody=5
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "h" for ibody=5
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.043 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.325s
user 0m0.331s
sys 0m0.060s
++++ set +x
data/basic/designM0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 160 / 180 )
data/basic/designM1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "a" for ibody=6
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "b" for ibody=6
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "c" for ibody=6
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "d" for ibody=6
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "e" for ibody=6
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "f" for ibody=6
d(Face)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "g" for ibody=6
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "h" for ibody=6
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.370s
user 0m0.386s
sys 0m0.054s
++++ set +x
data/basic/designM1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 161 / 180 )
data/basic/designM2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "a" for ibody=7
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "b" for ibody=7
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "c" for ibody=7
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "d" for ibody=7
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "e" for ibody=7
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "f" for ibody=7
d(Face)/d(f) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "g" for ibody=7
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
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
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.373s
user 0m0.382s
sys 0m0.054s
++++ set +x
data/basic/designM2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 162 / 180 )
data/basic/designM3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "a" for ibody=8
d(Face)/d(a) check complete with 0 total errors (errmax= 2.4301e-09)
d(Edge)/d(a) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "b" for ibody=8
d(Face)/d(b) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(b) check complete with 0 total errors (errmax= 6.7851e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "c" for ibody=8
d(Face)/d(c) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(c) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "d" for ibody=8
d(Face)/d(d) check complete with 0 total errors (errmax= 2.4536e-09)
d(Edge)/d(d) check complete with 0 total errors (errmax= 1.5654e-09)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "e" for ibody=8
d(Face)/d(e) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(e) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "f" for ibody=8
d(Face)/d(f) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(f) check complete with 0 total errors (errmax= 1.2854e-09)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "g" for ibody=8
d(Face)/d(g) check complete with 0 total errors (errmax= 3.1334e-09)
d(Edge)/d(g) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "h" for ibody=8
d(Face)/d(h) check complete with 0 total errors (errmax= 3.2271e-09)
d(Edge)/d(h) check complete with 0 total errors (errmax= 1.4508e-09)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.263 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.239s
user 0m1.332s
sys 0m0.092s
++++ set +x
data/basic/designM3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 163 / 180 )
data/basic/designM4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "a" for ibody=8
d(Face)/d(a) check complete with 0 total errors (errmax= 2.4301e-09)
d(Edge)/d(a) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "b" for ibody=8
d(Face)/d(b) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(b) check complete with 0 total errors (errmax= 6.7851e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "c" for ibody=8
d(Face)/d(c) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(c) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "d" for ibody=8
d(Face)/d(d) check complete with 0 total errors (errmax= 2.4536e-09)
d(Edge)/d(d) check complete with 0 total errors (errmax= 1.5654e-09)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "e" for ibody=8
d(Face)/d(e) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(e) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "f" for ibody=8
d(Face)/d(f) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(f) check complete with 0 total errors (errmax= 1.2854e-09)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "g" for ibody=8
d(Face)/d(g) check complete with 0 total errors (errmax= 3.1334e-09)
d(Edge)/d(g) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "h" for ibody=8
d(Face)/d(h) check complete with 0 total errors (errmax= 3.2271e-09)
d(Edge)/d(h) check complete with 0 total errors (errmax= 1.4508e-09)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.253 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.175s
user 0m1.280s
sys 0m0.087s
++++ set +x
data/basic/designM4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 164 / 180 )
data/basic/designN1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designN1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
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= 1.8752e-07)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.8752e-07)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.8752e-07)
*********************************************************
Starting configuration sensitivity wrt "frontArea"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "frontArea" for ibody=1
d(Face)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
d(Edge)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
d(Node)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
*********************************************************
Starting configuration sensitivity wrt "volume"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "volume" for ibody=1
d(Face)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
d(Edge)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
d(Node)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8752e-07) with 0 suppressions
real 0m0.054s
user 0m0.043s
sys 0m0.013s
++++ set +x
data/basic/designN1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 165 / 180 )
data/basic/designN2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designN2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "area" for ibody=1
d(Face)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
d(Node)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
*********************************************************
Starting configuration sensitivity wrt "vol"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "vol" for ibody=1
d(Face)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
d(Edge)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
d(Node)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 4.0964e-07) with 0 suppressions
real 0m0.168s
user 0m0.238s
sys 0m0.014s
++++ set +x
data/basic/designN2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 166 / 180 )
data/basic/designP0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 7.8933e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 8.2957e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 1.5628e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.0576e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 3.9525e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0906e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 8.3185e-10)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.0598e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 8.9965e-10)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 9.7311e-10)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.000 sec
Sensitivity checks complete with 0 total errors (max config err= 2.1462e-09) with 0 suppressions
real 0m0.051s
user 0m0.039s
sys 0m0.011s
++++ set +x
data/basic/designP0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 167 / 180 )
data/basic/designP0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 4.0632e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.4788e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.2323e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0630e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 1.7741e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 2.6575e-10)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.4534e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.000 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7140e-09) with 0 suppressions
real 0m0.105s
user 0m0.091s
sys 0m0.012s
++++ set +x
data/basic/designP0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 168 / 180 )
data/basic/designP0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 1.7184e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 3.7580e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 1.1513e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 5.9025e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 5.9318e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.3957e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9088e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.8237e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1245e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 3.6761e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.0695e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.8691e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 3.9006e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 3.1596e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.032 sec
Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions
real 0m0.106s
user 0m0.093s
sys 0m0.011s
++++ set +x
data/basic/designP0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 169 / 180 )
data/basic/designP1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 7.5700e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 4.6383e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 7.5700e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 7.8373e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 3.5760e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 3.0361e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 3.5760e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.5780e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 3.0361e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 3.3480e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.7589e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 2.9258e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 2.6645e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.9947e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 5.4176e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6437e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.5270e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.1219e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.150 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions
real 0m0.759s
user 0m0.737s
sys 0m0.021s
++++ set +x
data/basic/designP1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 170 / 180 )
data/basic/designP1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.0914e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 8.0431e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.3914e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.7440e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.7205e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 1.0914e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.4211e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.2017e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 1.0658e-08)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.4995e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 3.0839e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 2.1957e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 8.0269e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.5040e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 1.1651e-08)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 7.6447e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.235 sec
Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions
real 0m1.037s
user 0m1.041s
sys 0m0.021s
++++ set +x
data/basic/designP1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 171 / 180 )
data/basic/designP1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.5074e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 8.0431e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.3914e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 8.7558e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.7205e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 1.5074e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.4211e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.7743e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 1.1579e-08)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 7.1555e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.1993e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.2284e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 6.2612e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.2136e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.0980e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9473e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9102e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.8067e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7885e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4134e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1442e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 4.6720e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.1615e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.6212e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.1448e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.4063e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.9061e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 9.4562e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 9.3994e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 8.6509e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.210 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions
real 0m3.888s
user 0m3.855s
sys 0m0.025s
++++ set +x
data/basic/designP1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 172 / 180 )
data/basic/designP2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.4607e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 1.0915e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 1.8160e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 1.4013e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 1.4607e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0915e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 2.0920e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 1.4013e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 8.2957e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 1.2534e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 2.6077e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.5780e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.2804e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 9.8434e-10)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.2804e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.2044e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.7589e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 2.6645e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 1.8957e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 3.2860e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6437e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.3029e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.1219e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.151 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions
real 0m0.944s
user 0m0.930s
sys 0m0.020s
++++ set +x
data/basic/designP2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 173 / 180 )
data/basic/designP2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 8.4869e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 8.4869e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.4995e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 8.0269e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 1.4202e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 1.1651e-08)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 7.6447e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 3.6430e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.505 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions
real 0m1.770s
user 0m1.781s
sys 0m0.027s
++++ set +x
data/basic/designP2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 174 / 180 )
data/basic/designP2c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.1539e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 6.1545e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 8.3313e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.2296e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 1.1539e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 6.1545e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 7.3953e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 7.1555e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.1993e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.2284e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 6.2612e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.2187e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.1010e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9473e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9102e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.8149e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7938e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4203e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1524e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 4.6720e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.1705e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.6542e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.1495e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.3986e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.9578e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 9.3045e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 8.9755e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 9.6290e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.8290e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.424 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions
real 0m4.372s
user 0m4.306s
sys 0m0.027s
++++ set +x
data/basic/designP2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 175 / 180 )
data/basic/designP3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.850 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.887s
user 0m0.821s
sys 0m0.123s
++++ set +x
data/basic/designP3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 176 / 180 )
data/basic/designP3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.869 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.927s
user 0m0.886s
sys 0m0.127s
++++ set +x
data/basic/designP3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 177 / 180 )
data/basic/designP3c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.758 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.927s
user 0m2.836s
sys 0m0.135s
++++ set +x
data/basic/designP3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 178 / 180 )
data/basic/designP4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
d(Face)/d(X1) check complete with 0 total errors (errmax= 5.0889e-07)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 5.6668e-07)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6668e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
d(Face)/d(R1) check complete with 0 total errors (errmax= 6.6457e-07)
d(Edge)/d(R1) check complete with 0 total errors (errmax= 7.2984e-07)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2984e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
d(Face)/d(X2) check complete with 0 total errors (errmax= 5.0892e-07)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 5.5953e-07)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5953e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
d(Face)/d(R2) check complete with 0 total errors (errmax= 3.1338e-07)
d(Edge)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 2.6047e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.6838e-10)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 2.3957e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.3377e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 2.4921e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 7.6154e-10)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 2.3602e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 7.6154e-10)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 2.3982e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 6.6765e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.2467e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.6838e-10)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 2.3313e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.3994e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 7.8131e-10)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 3.0503e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 1.8912e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 7.2984e-07) with 0 suppressions
real 0m1.007s
user 0m0.919s
sys 0m0.135s
++++ set +x
data/basic/designP4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 179 / 180 )
data/basic/designP4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
iface= 1, ipnt= 64 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373804 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373804 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373805 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181831 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181831 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181832 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 1.99616120, fd= 1.99627382, err= -0.00011263 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 1.99616120, fd= 1.99627383, err= -0.00011263 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 1.99616119, fd= 1.99627383, err= -0.00011263 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 1.99616119, fd= 1.99627383, err= -0.00011263 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.07387066, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.07387066, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199908 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199908 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199909 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 0.00022395, fd= 0.00001510, err= 0.00020885 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 0.00014566, fd= 0.00000982, err= 0.00013584 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 0.00022393, fd= 0.00001510, err= 0.00020883 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 0.00014565, fd= 0.00000982, err= 0.00013582 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 0.00022391, fd= 0.00001510, err= 0.00020881 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 0.00014563, fd= 0.00000982, err= 0.00013581 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 0.00022389, fd= 0.00001510, err= 0.00020879 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 0.00014562, fd= 0.00000982, err= 0.00013580 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 0.00022388, fd= 0.00001510, err= 0.00020878 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 0.00014561, fd= 0.00000982, err= 0.00013579 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 0.00015147, fd= 0.00001021, err= 0.00014126 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -0.00012500, fd= -0.00000843, err= -0.00011657 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 0.00015146, fd= 0.00001021, err= 0.00014125 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -0.00012499, fd= -0.00000843, err= -0.00011656 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 0.00015145, fd= 0.00001021, err= 0.00014123 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -0.00012498, fd= -0.00000843, err= -0.00011655 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 0.00015144, fd= 0.00001021, err= 0.00014123 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 157 (Z): anal= -0.00012497, fd= -0.00000843, err= -0.00011654 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 158 (X): anal= 0.00015143, fd= 0.00001021, err= 0.00014122 (at 0.03282241 -1.20894142 10.12500000)
iface= 11, ipnt= 158 (Z): anal= -0.00012496, fd= -0.00000843, err= -0.00011653 (at 0.03282241 -1.20894142 10.12500000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 0.00021455, fd= 0.00001446, err= 0.00020009 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 0.00013955, fd= 0.00000941, err= 0.00013014 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 0.00021454, fd= 0.00001446, err= 0.00020008 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 0.00013954, fd= 0.00000941, err= 0.00013013 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 0.00021454, fd= 0.00001447, err= 0.00020007 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 0.00013954, fd= 0.00000941, err= 0.00013013 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 0.00021453, fd= 0.00001447, err= 0.00020007 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 0.00013953, fd= 0.00000941, err= 0.00013013 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 0.00021453, fd= 0.00001447, err= 0.00020006 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 0.00013953, fd= 0.00000941, err= 0.00013012 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(X1) check complete with 4933 total errors (errmax= 7.3895e-02)
iedge= 2, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053748, err= -0.00021280 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001352, err= 0.00879869 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001352, err= 0.00879869 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001287, err= 0.00096586 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X1) check complete with 248 total errors (errmax= 7.3895e-02)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6668e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
iface= 1, ipnt= 64 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 2.07985052, fd= 2.07973797, err= 0.00011256 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445118 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445118 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.08442361, fd= 0.00002758, err= -0.08445119 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.08442361, fd= 0.00002758, err= -0.08445119 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.07711794, fd= 0.00002519, err= -0.07714313 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.07711794, fd= 0.00002519, err= -0.07714313 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.07711795, fd= 0.00002519, err= -0.07714314 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.08385692, fd= 0.00002739, err= -0.08388432 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.08385693, fd= 0.00002739, err= -0.08388432 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.08385693, fd= 0.00002739, err= -0.08388432 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 0.00025595, fd= 0.00001727, err= 0.00023867 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 0.00016647, fd= 0.00001124, err= 0.00015523 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 0.00025592, fd= 0.00001728, err= 0.00023865 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 0.00016645, fd= 0.00001124, err= 0.00015522 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 0.00025590, fd= 0.00001728, err= 0.00023862 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 0.00016644, fd= 0.00001124, err= 0.00015520 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 0.00025588, fd= 0.00001728, err= 0.00023860 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 0.00016643, fd= 0.00001124, err= 0.00015519 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 0.00025587, fd= 0.00001728, err= 0.00023859 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 0.00016642, fd= 0.00001124, err= 0.00015518 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 0.00017311, fd= 0.00001168, err= 0.00016143 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Y): anal= 0.00011259, fd= 0.00000760, err= 0.00010500 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -0.00014285, fd= -0.00000964, err= -0.00013321 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 0.00017310, fd= 0.00001168, err= 0.00016141 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Y): anal= 0.00011258, fd= 0.00000760, err= 0.00010498 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -0.00014284, fd= -0.00000964, err= -0.00013320 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 0.00017308, fd= 0.00001168, err= 0.00016140 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Y): anal= 0.00011258, fd= 0.00000760, err= 0.00010498 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -0.00014283, fd= -0.00000964, err= -0.00013319 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 0.00017307, fd= 0.00001168, err= 0.00016139 (at 0.22032241 -1.02144142 10.50000000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 0.00024520, fd= 0.00001655, err= 0.00022865 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 0.00015948, fd= 0.00001076, err= 0.00014872 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 0.00024519, fd= 0.00001655, err= 0.00022865 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 0.00015948, fd= 0.00001076, err= 0.00014871 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 0.00024519, fd= 0.00001655, err= 0.00022864 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 0.00015947, fd= 0.00001076, err= 0.00014871 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 0.00024518, fd= 0.00001655, err= 0.00022863 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 0.00015947, fd= 0.00001076, err= 0.00014870 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 0.00024517, fd= 0.00001655, err= 0.00022863 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 0.00015946, fd= 0.00001076, err= 0.00014870 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(R1) check complete with 4963 total errors (errmax= 8.4451e-02)
iedge= 2, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002341, err= -0.01527486 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002341, err= -0.01527486 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120537 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151828 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120537 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151828 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098929 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098929 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151828 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(R1) check complete with 248 total errors (errmax= 8.4451e-02)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2984e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
iface= 1, ipnt= 64 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 0.00727292, fd= -0.00000038, err= 0.00727330 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 0.00727292, fd= -0.00000038, err= 0.00727330 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 0.00727292, fd= -0.00000037, err= 0.00727330 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 0.00727292, fd= -0.00000038, err= 0.00727330 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389588 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389588 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.27279908, fd= 0.29630154, err= -0.02350246 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750124 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.27279908, fd= 0.29630154, err= -0.02350246 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750124 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.27279907, fd= 0.29630154, err= -0.02350246 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750124 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.27279907, fd= 0.29630154, err= -0.02350247 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 2.10795251, fd= 2.10816156, err= -0.00020905 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 1.37102952, fd= 1.37116549, err= -0.00013597 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 2.10795254, fd= 2.10816156, err= -0.00020902 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 1.37102954, fd= 1.37116549, err= -0.00013595 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 2.10795256, fd= 2.10816156, err= -0.00020900 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 1.37102955, fd= 1.37116549, err= -0.00013594 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 2.10795258, fd= 2.10816156, err= -0.00020899 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 1.37102956, fd= 1.37116549, err= -0.00013593 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 2.10795259, fd= 2.10816157, err= -0.00020897 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 1.37102957, fd= 1.37116548, err= -0.00013592 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 1.42570908, fd= 1.42585048, err= -0.00014139 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -1.17650096, fd= -1.17661763, err= 0.00011668 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 1.42570910, fd= 1.42585048, err= -0.00014138 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -1.17650097, fd= -1.17661763, err= 0.00011667 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 1.42570911, fd= 1.42585048, err= -0.00014137 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -1.17650098, fd= -1.17661763, err= 0.00011666 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 1.42570912, fd= 1.42585048, err= -0.00014136 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 157 (Z): anal= -1.17650099, fd= -1.17661763, err= 0.00011665 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 158 (X): anal= 1.42570913, fd= 1.42585048, err= -0.00014135 (at 0.03282241 -1.20894142 10.12500000)
iface= 11, ipnt= 158 (Z): anal= -1.17650099, fd= -1.17661763, err= 0.00011664 (at 0.03282241 -1.20894142 10.12500000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 2.01926565, fd= 2.01946592, err= -0.00020027 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013026 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 2.01926566, fd= 2.01946593, err= -0.00020027 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013026 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 2.01926566, fd= 2.01946593, err= -0.00020026 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013025 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 2.01926567, fd= 2.01946593, err= -0.00020026 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 1.31334688, fd= 1.31347712, err= -0.00013025 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 2.01926568, fd= 2.01946593, err= -0.00020025 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 1.31334688, fd= 1.31347712, err= -0.00013024 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(X2) check complete with 4933 total errors (errmax= 7.3896e-02)
iedge= 2, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000007, err= -0.00040050 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000007, err= -0.00040050 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465250 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182905, err= -0.05558359 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465250 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182905, err= -0.05558359 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086536 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X2) check complete with 248 total errors (errmax= 7.3896e-02)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5953e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
iface= 1, ipnt= 64 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053262 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= -0.02909169, fd= 0.00000113, err= -0.02909281 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 154 (X): anal= -0.00012370, fd= -0.00000120, err= -0.00012251 (at 2.70789420 2.63157980 5.62500000)
iface= 4, ipnt= 155 (X): anal= -0.00012369, fd= -0.00000120, err= -0.00012249 (at 2.70789420 2.63157980 5.25000000)
iface= 4, ipnt= 156 (X): anal= -0.00012368, fd= -0.00000120, err= -0.00012248 (at 2.70789420 2.63157980 4.87500000)
iface= 4, ipnt= 157 (X): anal= -0.00012367, fd= -0.00000120, err= -0.00012247 (at 2.70789420 2.63157980 4.50000000)
iface= 4, ipnt= 158 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 4.12500000)
iface= 4, ipnt= 159 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.75000000)
iface= 4, ipnt= 160 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.37500000)
iface= 4, ipnt= 161 (X): anal= -0.00012365, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.00000000)
iface= 4, ipnt= 162 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 2.62500000)
iface= 4, ipnt= 163 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 2.25000000)
...too many errors to list
iface= 5, ipnt= 169 (X): anal= 0.00035926, fd= -0.00000027, err= 0.00035953 (at 5.43144990 5.81249996 11.62500000)
iface= 5, ipnt= 169 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.43144990 5.81249996 11.62500000)
iface= 5, ipnt= 170 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035953 (at 5.24394990 5.62499996 11.25000000)
iface= 5, ipnt= 170 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.24394990 5.62499996 11.25000000)
iface= 5, ipnt= 171 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 5.05644990 5.43749996 10.87500000)
iface= 5, ipnt= 171 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.05644990 5.43749996 10.87500000)
iface= 5, ipnt= 172 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 4.86894990 5.24999996 10.50000000)
iface= 5, ipnt= 172 (Z): anal= -0.00022600, fd= 0.00000017, err= -0.00022617 (at 4.86894990 5.24999996 10.50000000)
iface= 5, ipnt= 173 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 4.68144990 5.06249996 10.12500000)
iface= 5, ipnt= 173 (Z): anal= -0.00022600, fd= 0.00000017, err= -0.00022617 (at 4.68144990 5.06249996 10.12500000)
...too many errors to list
iface= 6, ipnt= 282 (X): anal= -0.00011677, fd= -0.00000113, err= -0.00011564 (at 2.80164420 5.63157980 23.62500000)
iface= 6, ipnt= 283 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 2.89539420 5.63157980 23.25000000)
iface= 6, ipnt= 284 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 2.98914420 5.63157980 22.87500000)
iface= 6, ipnt= 285 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 3.08289420 5.63157980 22.50000000)
iface= 6, ipnt= 286 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.17664420 5.63157980 22.12500000)
iface= 6, ipnt= 287 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.27039420 5.63157980 21.75000000)
iface= 6, ipnt= 288 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.36414420 5.63157980 21.37500000)
iface= 6, ipnt= 289 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.45789420 5.63157980 21.00000000)
iface= 6, ipnt= 290 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.55164420 5.63157980 20.62500000)
iface= 6, ipnt= 291 (X): anal= -0.00011674, fd= -0.00000113, err= -0.00011561 (at 3.64539420 5.63157980 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= 2.85406904, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= 2.85406904, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= 2.85406904, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722691 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722691 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722691 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722690 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 64 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 5.62500000)
iface= 10, ipnt= 65 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 5.25000000)
iface= 10, ipnt= 66 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.87500000)
iface= 10, ipnt= 67 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.50000000)
iface= 10, ipnt= 68 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.12500000)
iface= 10, ipnt= 69 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.75000000)
iface= 10, ipnt= 70 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.37500000)
iface= 10, ipnt= 71 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.00000000)
iface= 10, ipnt= 72 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 2.62500000)
iface= 10, ipnt= 73 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 2.25000000)
...too many errors to list
iface= 11, ipnt= 64 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.16714862 2.31876540 11.62500000)
iface= 11, ipnt= 65 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.35464862 2.13126540 11.25000000)
iface= 11, ipnt= 66 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.54214862 1.94376540 10.87500000)
iface= 11, ipnt= 67 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -0.72964862 1.75626540 10.50000000)
iface= 11, ipnt= 68 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -0.91714862 1.56876539 10.12500000)
iface= 11, ipnt= 69 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.10464862 1.38126539 9.75000000)
iface= 11, ipnt= 70 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.29214862 1.19376539 9.37500000)
iface= 11, ipnt= 71 (X): anal= -2.31572498, fd= -2.31590259, err= 0.00017761 (at -1.47964862 1.00626540 9.00000000)
iface= 11, ipnt= 72 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.66714862 0.81876540 8.62500000)
iface= 11, ipnt= 73 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.85464862 0.63126540 8.25000000)
...too many errors to list
iface= 12, ipnt= 96 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.88589862 2.50626540 23.62500000)
iface= 12, ipnt= 97 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.79214862 2.50626540 23.25000000)
iface= 12, ipnt= 98 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.69839862 2.50626540 22.87500000)
iface= 12, ipnt= 99 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.60464862 2.50626540 22.50000000)
iface= 12, ipnt= 100 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.51089862 2.50626540 22.12500000)
iface= 12, ipnt= 101 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.41714862 2.50626540 21.75000000)
iface= 12, ipnt= 102 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.32339862 2.50626540 21.37500000)
iface= 12, ipnt= 103 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.22964862 2.50626540 21.00000000)
iface= 12, ipnt= 104 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.13589862 2.50626540 20.62500000)
iface= 12, ipnt= 105 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021589 (at -2.04214862 2.50626540 20.25000000)
...too many errors to list
d(Face)/d(R2) check complete with 5359 total errors (errmax= 3.0533e-02)
iedge= 2, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660690 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 0.00000000)
iedge= 11, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 0.00000000)
...too many errors to list
iedge= 13, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 6.00000000)
iedge= 13, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 6.00000000)
...too many errors to list
iedge= 15, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 5.70789420 5.63157980 12.00000000)
iedge= 15, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000093, err= 0.00442415 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 5.14833053 7.44012664 12.00000000)
...too many errors to list
iedge= 17, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 5.63157980 24.00000000)
iedge= 17, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 7.44012664 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022462, err= 0.00184476 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022462, err= 0.00184476 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022462, err= 0.00184476 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 0.00000000)
...too many errors to list
iedge= 26, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 6.00000000)
...too many errors to list
iedge= 27, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at 0.02035138 2.50626540 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at 2.70077746 -2.01149766 12.00000000)
...too many errors to list
iedge= 28, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 2.50626540 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -2.01149766 24.00000000)
...too many errors to list
d(Edge)/d(R2) check complete with 272 total errors (errmax= 3.0533e-02)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 2.7311e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.3023e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 4.0625e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.6610e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 2.7333e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.2752e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 4.0625e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 2.6610e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.5427e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0587e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 3.4665e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 1.6569e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.8751e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.8102e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.6709e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.426 sec
Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m5.219s
user 0m5.106s
sys 0m0.152s
++++ set +x
data/basic/designP4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 180 / 180 )
data/basic/designP4c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
iface= 1, ipnt= 154 (X): anal= 2.24130186, fd= 2.24852704, err= -0.00722518 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -1.14917269, fd= -1.15287722, err= 0.00370453 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.59855559, fd= 0.60048512, err= -0.00192954 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 2.22747558, fd= 2.23465619, err= -0.00718061 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -1.14208360, fd= -1.14576528, err= 0.00368168 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.62845264, fd= 0.63047856, err= -0.00202591 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 2.21491832, fd= 2.22205845, err= -0.00714013 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -1.13564517, fd= -1.13930610, err= 0.00366093 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.65410341, fd= 0.65621202, err= -0.00210860 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 2.20376716, fd= 2.21087135, err= -0.00710418 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= 2.61661864, fd= 2.61650402, err= 0.00011463 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= 2.57803123, fd= 2.57791829, err= 0.00011294 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= 2.54227701, fd= 2.54216564, err= 0.00011137 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= 2.51013139, fd= 2.51002143, err= 0.00010996 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= 2.48213009, fd= 2.48202136, err= 0.00010874 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= 2.45863432, fd= 2.45852662, err= 0.00010771 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= 2.43988110, fd= 2.43977422, err= 0.00010688 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= 2.42602086, fd= 2.42591458, err= 0.00010628 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= 2.41714449, fd= 2.41703860, err= 0.00010589 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= 2.41330170, fd= 2.41319598, err= 0.00010572 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.02558713, fd= -0.00000838, err= 0.02559551 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.07348859, fd= 0.00002408, err= -0.07351266 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.00561074, fd= -0.00000184, err= 0.00561258 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.02561792, fd= -0.00000839, err= 0.02562631 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.07357701, fd= 0.00002411, err= -0.07360112 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.00492175, fd= -0.00000161, err= 0.00492336 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.02564155, fd= -0.00000840, err= 0.02564995 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.07364488, fd= 0.00002413, err= -0.07366901 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.00431760, fd= -0.00000141, err= 0.00431902 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.02565943, fd= -0.00000841, err= 0.02566784 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 0.00021143, fd= 0.00001425, err= 0.00019718 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 0.00013752, fd= 0.00000927, err= 0.00012825 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 0.00020837, fd= 0.00001405, err= 0.00019432 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 0.00013553, fd= 0.00000914, err= 0.00012639 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 0.00020548, fd= 0.00001385, err= 0.00019163 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 0.00013365, fd= 0.00000901, err= 0.00012464 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 0.00020286, fd= 0.00001367, err= 0.00018919 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 0.00013194, fd= 0.00000889, err= 0.00012305 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 0.00020055, fd= 0.00001351, err= 0.00018704 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 0.00013044, fd= 0.00000879, err= 0.00012165 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(X1) check complete with 5060 total errors (errmax= 7.3895e-02)
iedge= 2, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002232, err= 0.05558445 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000808, err= 0.00382025 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X1) check complete with 124 total errors (errmax= 7.3895e-02)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6668e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
iface= 1, ipnt= 154 (X): anal= 2.53405171, fd= 2.52685493, err= 0.00719677 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -1.29927301, fd= -1.29558304, err= -0.00368997 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.67673651, fd= 0.67481456, err= 0.00192195 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 2.51841949, fd= 2.51126711, err= 0.00715238 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -1.29125797, fd= -1.28759076, err= -0.00366721 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.71053860, fd= 0.70852065, err= 0.00201795 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 2.50422205, fd= 2.49710999, err= 0.00711206 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -1.28397858, fd= -1.28033205, err= -0.00364653 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.73953977, fd= 0.73743946, err= 0.00210031 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 2.49161438, fd= 2.48453813, err= 0.00707625 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= 2.70219933, fd= 2.70231383, err= -0.00011450 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= 2.66234985, fd= 2.66246266, err= -0.00011281 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= 2.62542624, fd= 2.62553748, err= -0.00011124 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= 2.59222924, fd= 2.59233908, err= -0.00010984 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= 2.56331212, fd= 2.56342073, err= -0.00010861 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= 2.53904788, fd= 2.53915547, err= -0.00010758 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= 2.51968131, fd= 2.51978807, err= -0.00010676 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= 2.50536774, fd= 2.50547390, err= -0.00010616 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= 2.49620106, fd= 2.49630682, err= -0.00010577 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= 2.49223258, fd= 2.49233818, err= -0.00010560 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.02924243, fd= -0.00000955, err= 0.02925198 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.08398696, fd= 0.00002743, err= -0.08401439 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.00641228, fd= -0.00000209, err= 0.00641437 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.02927762, fd= -0.00000956, err= 0.02928718 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.08408801, fd= 0.00002747, err= -0.08411548 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.00562485, fd= -0.00000184, err= 0.00562669 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.02930462, fd= -0.00000957, err= 0.02931420 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.08416558, fd= 0.00002750, err= -0.08419307 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.00493440, fd= -0.00000161, err= 0.00493601 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.02932506, fd= -0.00000958, err= 0.02933464 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 0.00024164, fd= 0.00001630, err= 0.00022533 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 0.00015716, fd= 0.00001060, err= 0.00014656 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 0.00023814, fd= 0.00001607, err= 0.00022207 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 0.00015489, fd= 0.00001045, err= 0.00014444 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 0.00023484, fd= 0.00001584, err= 0.00021900 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 0.00015274, fd= 0.00001031, err= 0.00014244 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 0.00023184, fd= 0.00001564, err= 0.00021620 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 0.00015079, fd= 0.00001017, err= 0.00014062 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 0.00022920, fd= 0.00001546, err= 0.00021374 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 0.00014908, fd= 0.00001005, err= 0.00013902 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(R1) check complete with 5077 total errors (errmax= 8.4451e-02)
iedge= 2, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799499 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527486 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002341, err= -0.01527486 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098929 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120537 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098929 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151828 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(R1) check complete with 124 total errors (errmax= 8.4451e-02)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2984e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
iface= 1, ipnt= 154 (X): anal= 0.00722484, fd= -0.00000037, err= 0.00722522 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -0.00370436, fd= 0.00000019, err= -0.00370455 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.00192945, fd= -0.00000010, err= 0.00192955 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 0.00718028, fd= -0.00000037, err= 0.00718065 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -0.00368151, fd= 0.00000019, err= -0.00368170 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.00202582, fd= -0.00000010, err= 0.00202592 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 0.00713980, fd= -0.00000037, err= 0.00714017 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -0.00366076, fd= 0.00000019, err= -0.00366095 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.00210850, fd= -0.00000011, err= 0.00210861 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 0.00710385, fd= -0.00000037, err= 0.00710422 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= -0.00011456, fd= 0.00000006, err= -0.00011462 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= -0.00011287, fd= 0.00000006, err= -0.00011293 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= -0.00011130, fd= 0.00000006, err= -0.00011136 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= -0.00010990, fd= 0.00000006, err= -0.00010995 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= -0.00010867, fd= 0.00000006, err= -0.00010873 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= -0.00010764, fd= 0.00000006, err= -0.00010770 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= -0.00010682, fd= 0.00000005, err= -0.00010687 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= -0.00010621, fd= 0.00000005, err= -0.00010627 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= -0.00010582, fd= 0.00000005, err= -0.00010588 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= -0.00010566, fd= 0.00000005, err= -0.00010571 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.29709773, fd= 0.32269360, err= -0.02559586 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.85329204, fd= -0.92680571, err= 0.07351368 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.06514756, fd= 0.07076022, err= -0.00561266 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.29745521, fd= 0.32308187, err= -0.02562666 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.85431875, fd= -0.92792088, err= 0.07360213 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.05714748, fd= 0.06207091, err= -0.00492343 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.29772960, fd= 0.32337990, err= -0.02565030 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.85510681, fd= -0.92877683, err= 0.07367002 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.05013263, fd= 0.05445170, err= -0.00431908 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.29793723, fd= 0.32360542, err= -0.02566819 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 1.98985774, fd= 1.99005510, err= -0.00019736 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 1.29421972, fd= 1.29434809, err= -0.00012837 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 1.96103544, fd= 1.96122995, err= -0.00019451 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 1.27547347, fd= 1.27559997, err= -0.00012651 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 1.93388236, fd= 1.93407418, err= -0.00019181 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 1.25781288, fd= 1.25793764, err= -0.00012476 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 1.90917950, fd= 1.90936886, err= -0.00018937 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 1.24174595, fd= 1.24186911, err= -0.00012316 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 1.88747704, fd= 1.88766425, err= -0.00018721 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 1.22763049, fd= 1.22775226, err= -0.00012177 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(X2) check complete with 5060 total errors (errmax= 7.3896e-02)
iedge= 2, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086536 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X2) check complete with 124 total errors (errmax= 7.3896e-02)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5953e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
iface= 1, ipnt= 154 (X): anal= -0.02889938, fd= 0.00000112, err= -0.02890050 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= 0.01481745, fd= -0.00000057, err= 0.01481802 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= -0.00771778, fd= 0.00000030, err= -0.00771808 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= -0.02872110, fd= 0.00000111, err= -0.02872222 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= 0.01472604, fd= -0.00000057, err= 0.01472661 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= -0.00810328, fd= 0.00000031, err= -0.00810359 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= -0.02855919, fd= 0.00000111, err= -0.02856030 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= 0.01464303, fd= -0.00000057, err= 0.01464359 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= -0.00843402, fd= 0.00000033, err= -0.00843435 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= -0.02841540, fd= 0.00000111, err= -0.02841651 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 514 (X): anal= -0.00011501, fd= -0.00000111, err= -0.00011390 (at 2.81123673 5.63562662 23.60856445)
iface= 2, ipnt= 515 (X): anal= -0.00011333, fd= -0.00000110, err= -0.00011223 (at 2.92555309 5.64722354 23.21415669)
iface= 2, ipnt= 516 (X): anal= -0.00011178, fd= -0.00000108, err= -0.00011069 (at 3.04965827 5.66555527 22.81709766)
iface= 2, ipnt= 517 (X): anal= -0.00011038, fd= -0.00000107, err= -0.00010931 (at 3.18236727 5.68980651 22.41770833)
iface= 2, ipnt= 518 (X): anal= -0.00010916, fd= -0.00000107, err= -0.00010810 (at 3.32249508 5.71916196 22.01630965)
iface= 2, ipnt= 519 (X): anal= -0.00010814, fd= -0.00000106, err= -0.00010708 (at 3.46885668 5.75280633 21.61322257)
iface= 2, ipnt= 520 (X): anal= -0.00010733, fd= -0.00000106, err= -0.00010627 (at 3.62026708 5.78992431 21.20876805)
iface= 2, ipnt= 521 (X): anal= -0.00010673, fd= -0.00000105, err= -0.00010567 (at 3.77554125 5.82970062 20.80326703)
iface= 2, ipnt= 522 (X): anal= -0.00010634, fd= -0.00000105, err= -0.00010529 (at 3.93349421 5.87131995 20.39704049)
iface= 2, ipnt= 523 (X): anal= -0.00010617, fd= -0.00000106, err= -0.00010512 (at 4.09294093 5.91396701 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= -0.98858527, fd= -0.98134716, err= -0.00723811 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= 2.83930791, fd= 2.81851939, err= 0.02078852 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= -0.21677688, fd= -0.21518970, err= -0.00158717 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= -0.98977478, fd= -0.98252796, err= -0.00724682 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= 2.84272428, fd= 2.82191074, err= 0.02081354 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= -0.19015680, fd= -0.18876453, err= -0.00139227 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= -0.99068778, fd= -0.98343428, err= -0.00725351 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= 2.84534652, fd= 2.82451379, err= 0.02083273 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= -0.16681506, fd= -0.16559370, err= -0.00122137 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= -0.99137867, fd= -0.98412011, err= -0.00725856 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 154 (X): anal= -2.77488976, fd= -2.77510257, err= 0.00021282 (at -2.87630608 2.51031222 23.60856445)
iface= 4, ipnt= 155 (X): anal= -2.73696819, fd= -2.73717810, err= 0.00020991 (at -2.76198972 2.52190914 23.21415669)
iface= 4, ipnt= 156 (X): anal= -2.70202711, fd= -2.70223434, err= 0.00020723 (at -2.63788454 2.54024087 22.81709766)
iface= 4, ipnt= 157 (X): anal= -2.67072683, fd= -2.67093165, err= 0.00020483 (at -2.50517554 2.56449211 22.41770833)
iface= 4, ipnt= 158 (X): anal= -2.64352603, fd= -2.64372877, err= 0.00020274 (at -2.36504773 2.59384756 22.01630965)
iface= 4, ipnt= 159 (X): anal= -2.62073618, fd= -2.62093717, err= 0.00020099 (at -2.21868613 2.62749193 21.61322257)
iface= 4, ipnt= 160 (X): anal= -2.60256335, fd= -2.60276295, err= 0.00019960 (at -2.06727573 2.66460991 21.20876805)
iface= 4, ipnt= 161 (X): anal= -2.58913960, fd= -2.58933816, err= 0.00019857 (at -1.91200155 2.70438622 20.80326703)
iface= 4, ipnt= 162 (X): anal= -2.58054547, fd= -2.58074339, err= 0.00019791 (at -1.75404860 2.74600555 20.39704049)
iface= 4, ipnt= 163 (X): anal= -2.57682544, fd= -2.57702307, err= 0.00019763 (at -1.59460188 2.78865261 19.99040936)
...too many errors to list
d(Face)/d(R2) check complete with 5545 total errors (errmax= 3.0533e-02)
iedge= 2, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000167, err= 0.02416477 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660690 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 0.00000000)
iedge= 5, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 0.00000000)
...too many errors to list
iedge= 7, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 5.63157980 24.00000000)
iedge= 7, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 7.44012664 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022462, err= 0.00184476 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022928 (at -2.97964862 -0.49373460 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 0.00000000)
...too many errors to list
iedge= 12, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 2.50626540 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -2.01149766 24.00000000)
...too many errors to list
d(Edge)/d(R2) check complete with 136 total errors (errmax= 3.0533e-02)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 6.5420e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 5.7942e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 6.4268e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 5.8107e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.8389e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.3824e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9076e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9008e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.6921e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.8124e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4268e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1459e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 3.9457e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 3.8464e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.0972e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.6890e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.9273e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.7870e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 3.4015e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.6709e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.290 sec
Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m5.350s
user 0m5.292s
sys 0m0.147s
++++ set +x
data/basic/designP4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
================================ Found errors ================================
==================================================================================================
[Execution node] check if [macys] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
[GNU C Compiler (gcc)] Sleeping for 5 seconds due to JENKINS-32191...
[GNU C Compiler (gcc)] Parsing console log (workspace: '/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64')
[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)] Repository miner is not configured, skipping mining
[Clang (LLVM based)] Sleeping for 5 seconds due to JENKINS-32191...
[Clang (LLVM based)] Parsing console log (workspace: '/Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64')
[Clang (LLVM based)] Successfully parsed console log
[Clang (LLVM based)] -> found 0 issues (skipped 0 duplicates)
[Clang (LLVM based)] Skipping post processing
[Clang (LLVM based)] No filter has been set, publishing all 0 issues
[Clang (LLVM based)] Repository miner is not configured, skipping mining
[Static Analysis] Reference build recorder is not configured
[Static Analysis] Obtaining reference build from same job (7.3,DARWIN64,macys)
[Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=DARWIN64,buildnode=macys #165' to compute new, fixed, and outstanding issues
[Static Analysis] Issues delta (vs. reference build): outstanding: 0, new: 0, fixed: 0
[Static Analysis] Evaluating quality gates
[Static Analysis] -> PASSED - Total (any severity): 0 - Quality QualityGate: 1
[Static Analysis] -> All quality gates have been passed
[Static Analysis] Health report is disabled - skipping
[Static Analysis] Created analysis result for 0 issues (found 0 new issues, fixed 0 issues)
[Static Analysis] Attaching ResultAction with ID 'analysis' to build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=DARWIN64,buildnode=macys #166'.
[Checks API] No suitable checks publisher found.
[PostBuildScript] - [INFO] Executing post build scripts.
[PostBuildScript] - [INFO] build step #0 should only be executed on MATRIX
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] done
Finished: SUCCESS