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_VM 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_VM] is in [[macys, macys_VM, reynolds]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[DARWIN64] $ /bin/bash -xe /var/folders/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/jenkins7026336525370459785.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_VM == \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_VM == *\r\e\y\n\o\l\d\s* ]]
+++ [[ macys_VM == *\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 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_VM == \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_VM == \m\a\c\y\s ]]
+++ ln -s /usr/local/bin/python3 /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python
+++ ln -s /usr/local/bin/python3-config /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python-config
+++ ln -s /usr/local/bin/virtualenv /Users/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/virtualenv
++++ python-config --includes
+++ export 'PYTHONINC=. -I/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/include/python3.7m -I/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/include/python3.7m'
+++ PYTHONINC='. -I/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/include/python3.7m -I/usr/local/Cellar/python/3.7.7/Frameworks/Python.framework/Versions/3.7/include/python3.7m'
++++ python-config --ldflags
+++ export 'PYTHONLIB=-L/usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/config-3.7m-darwin -lpython3.7m -ldl -framework CoreFoundation'
+++ PYTHONLIB='-L/usr/local/opt/python/Frameworks/Python.framework/Versions/3.7/lib/python3.7/config-3.7m-darwin -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 930ms
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/42/s1whb7rd4mddfcnzk96g_d9h0000gp/T/jenkins7026336525370459785.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 ./ESP_venv/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 '/usr/local/opt/python/bin/python3.7 -m pip install --upgrade pip' command.
+++ [[ macys_VM == \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 11:57 mastros.exe
lrwxr-xr-x 1 jenkins staff 22B Jan 20 11:56 python -> /usr/local/bin/python3
lrwxr-xr-x 1 jenkins staff 29B Jan 20 11:56 python-config -> /usr/local/bin/python3-config
-rwxr-xr-x 1 jenkins staff 48K Jan 20 11:59 sensCSM
-rwxr-xr-x 1 jenkins staff 307K Jan 20 11:59 serveCSM
lrwxr-xr-x 1 jenkins staff 25B Jan 20 11:56 virtualenv -> /usr/local/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 -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5417e-09) with 0 suppressions
real 0m0.241s
user 0m0.211s
sys 0m0.031s
++++ 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 -> 0.086 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m1.678s
user 0m1.089s
sys 0m1.887s
++++ 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 -> 0.096 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.181s
user 0m0.181s
sys 0m0.027s
++++ 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 -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9366e-06) with 0 suppressions
real 0m7.306s
user 0m3.681s
sys 0m6.856s
++++ 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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7956e-10) with 0 suppressions
real 0m0.126s
user 0m0.108s
sys 0m0.023s
++++ 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 0m0.210s
user 0m0.185s
sys 0m0.025s
++++ 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 -> 0.025 sec
Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions
real 0m0.254s
user 0m0.272s
sys 0m0.019s
++++ 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 -> 2.472 sec
Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions
real 0m11.167s
user 0m11.529s
sys 0m0.091s
++++ 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 -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8525e-10) with 0 suppressions
real 0m0.303s
user 0m0.278s
sys 0m0.023s
++++ 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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 5.0985e-10) with 0 suppressions
real 0m0.154s
user 0m0.227s
sys 0m0.018s
++++ 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 -> 0.522 sec
Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions
real 0m3.707s
user 0m3.688s
sys 0m0.041s
++++ 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 -> 0.720 sec
Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m30.370s
user 0m30.239s
sys 0m0.165s
++++ 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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 9.4901e-05) with 0 suppressions
real 0m0.177s
user 0m0.159s
sys 0m0.019s
++++ 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 -> 0.026 sec
Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions
real 0m0.286s
user 0m0.354s
sys 0m0.025s
++++ 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 -> 0.274 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.421s
user 0m0.488s
sys 0m0.024s
++++ 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 -> 0.212 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.432s
user 0m0.502s
sys 0m0.021s
++++ 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 -> 0.142 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.353s
user 0m0.443s
sys 0m0.024s
++++ 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 -> 0.101 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.769s
user 0m0.859s
sys 0m0.029s
++++ 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 -> 2.066 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.373s
user 0m2.454s
sys 0m0.031s
++++ 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 -> 0.073 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.626s
user 0m0.702s
sys 0m0.021s
++++ 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 -> 2.258 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.577s
user 0m2.604s
sys 0m0.072s
++++ 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 -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 8.3237e-05) with 0 suppressions
real 0m0.093s
user 0m0.066s
sys 0m0.027s
++++ 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 -> 0.050 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4023e-07) with 0 suppressions
real 0m0.425s
user 0m0.406s
sys 0m0.026s
++++ 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 -> 0.070 sec
Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions
real 0m6.460s
user 0m3.406s
sys 0m6.508s
++++ 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 0m0.081s
user 0m0.067s
sys 0m0.018s
++++ 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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 6.9889e-11) with 0 suppressions
real 0m0.085s
user 0m0.070s
sys 0m0.018s
++++ 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 -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.236s
user 0m0.227s
sys 0m0.026s
++++ 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 -> 0.025 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.225s
user 0m0.227s
sys 0m0.023s
++++ 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 0m0.070s
user 0m0.046s
sys 0m0.023s
++++ 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 -> 0.009 sec
Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.130s
user 0m0.125s
sys 0m0.020s
++++ 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 -> 1.108 sec
Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions
real 0m8.662s
user 0m8.669s
sys 0m0.072s
++++ 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 -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions
real 0m0.847s
user 0m0.624s
sys 0m0.969s
++++ 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 -> 0.054 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions
real 0m5.218s
user 0m2.900s
sys 0m5.210s
++++ 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 -> 37.530 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m35.771s
user 0m30.062s
sys 0m9.546s
++++ 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 -> 14.064 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m13.241s
user 0m8.942s
sys 0m6.801s
++++ 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 -> 0.066 sec
Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions
real 0m4.689s
user 0m3.147s
sys 0m2.973s
++++ 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 -> 789.037 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 10m36.594s
user 5m17.973s
sys 8m51.269s
++++ 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 -> 7.833 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m8.512s
user 0m8.402s
sys 0m0.928s
++++ 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 -> 70.926 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m59.050s
user 0m47.676s
sys 0m30.454s
++++ 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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.102s
user 0m0.083s
sys 0m0.024s
++++ 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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9666e-08) with 0 suppressions
real 0m0.997s
user 0m0.467s
sys 0m0.981s
++++ 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 -> 0.024 sec
Sensitivity checks complete with 0 total errors (max config err= 9.6589e-08) with 0 suppressions
real 0m1.021s
user 0m0.477s
sys 0m1.031s
++++ 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 -> 0.054 sec
Sensitivity checks complete with 52 total errors (max config err= 2.4214e-04) with 0 suppressions
real 0m3.321s
user 0m1.875s
sys 0m3.858s
++++ 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 -> 0.010 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions
real 0m2.224s
user 0m1.761s
sys 0m1.963s
++++ 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 -> 4.382 sec
Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions
real 15m19.422s
user 11m37.203s
sys 10m19.440s
++++ 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 0m0.071s
user 0m0.054s
sys 0m0.019s
++++ 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 -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m2.288s
user 0m1.501s
sys 0m2.716s
++++ 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 -> 0.052 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m2.212s
user 0m1.506s
sys 0m2.549s
++++ 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 -> 2.724 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.068s
user 0m1.434s
sys 0m2.188s
++++ 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 -> 0.184 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8633e-07) with 0 suppressions
real 0m3.832s
user 0m3.178s
sys 0m2.424s
++++ 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 -> 0.294 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions
real 0m6.700s
user 0m5.264s
sys 0m4.482s
++++ 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 -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.070s
user 0m0.057s
sys 0m0.018s
++++ 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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.109s
user 0m0.117s
sys 0m0.018s
++++ 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 -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.114s
user 0m0.121s
sys 0m0.018s
++++ 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 0m0.116s
user 0m0.128s
sys 0m0.018s
++++ 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 0m0.106s
user 0m0.111s
sys 0m0.018s
++++ 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 0m0.118s
user 0m0.126s
sys 0m0.018s
++++ 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 0m0.117s
user 0m0.131s
sys 0m0.018s
++++ 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.104s
user 0m0.088s
sys 0m0.018s
++++ 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.115s
user 0m0.091s
sys 0m0.025s
++++ 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 -> 0.007 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.106s
user 0m0.088s
sys 0m0.019s
++++ 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 0m0.104s
user 0m0.088s
sys 0m0.018s
++++ 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 0m0.105s
user 0m0.089s
sys 0m0.018s
++++ 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 0m0.105s
user 0m0.089s
sys 0m0.018s
++++ 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 0m0.068s
user 0m0.053s
sys 0m0.017s
++++ 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 0m0.057s
user 0m0.039s
sys 0m0.018s
++++ 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 -> 0.011 sec
Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions
real 0m0.287s
user 0m0.407s
sys 0m0.021s
++++ 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 -> 0.040 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.344s
user 0m0.333s
sys 0m0.022s
++++ 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 -> 0.040 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.422s
user 0m0.409s
sys 0m0.019s
++++ 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 -> 0.189 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions
real 0m1.434s
user 0m1.577s
sys 0m0.030s
++++ 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 -> 0.033 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.300s
user 0m0.290s
sys 0m0.022s
++++ 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 -> 0.040 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.418s
user 0m0.406s
sys 0m0.020s
++++ 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 -> 0.186 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m1.469s
user 0m1.567s
sys 0m0.095s
++++ 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 -> 0.032 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.397s
user 0m0.380s
sys 0m0.026s
++++ 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 -> 0.057 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.705s
user 0m0.688s
sys 0m0.022s
++++ 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 -> 0.308 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m3.034s
user 0m3.956s
sys 0m0.080s
++++ 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 -> 0.047 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.628s
user 0m0.605s
sys 0m0.033s
++++ 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 -> 0.087 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.203s
user 0m1.181s
sys 0m0.027s
++++ 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 -> 0.517 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m3.942s
user 0m4.349s
sys 0m0.035s
++++ 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 -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions
real 0m0.456s
user 0m0.439s
sys 0m0.026s
++++ 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 -> 0.063 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.782s
user 0m0.762s
sys 0m0.024s
++++ 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 -> 0.339 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m3.303s
user 0m4.327s
sys 0m0.036s
++++ 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 -> 0.071 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m2.984s
user 0m2.979s
sys 0m0.034s
++++ 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 -> 0.075 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.484s
user 0m1.471s
sys 0m0.028s
++++ 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 -> 0.062 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.184s
user 0m1.170s
sys 0m0.028s
++++ 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 -> 0.078 sec
Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions
real 0m3.265s
user 0m3.239s
sys 0m0.028s
++++ 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 -> 0.088 sec
Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions
real 0m0.882s
user 0m0.863s
sys 0m0.023s
++++ 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 -> 0.060 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.801s
user 0m0.781s
sys 0m0.023s
++++ 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 -> 0.324 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions
real 0m6.918s
user 0m7.111s
sys 0m0.058s
++++ 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 -> 0.434 sec
Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions
real 0m2.371s
user 0m2.413s
sys 0m0.027s
++++ 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 -> 0.228 sec
Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions
real 0m2.027s
user 0m2.076s
sys 0m0.026s
++++ 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 -> 0.022 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m0.706s
user 0m0.620s
sys 0m0.336s
++++ 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 -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m3.024s
user 0m2.058s
sys 0m2.642s
++++ 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 -> 0.058 sec
Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions
real 0m5.618s
user 0m4.576s
sys 0m2.983s
++++ 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 -> 0.048 sec
Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions
real 0m9.958s
user 0m9.508s
sys 0m2.914s
++++ 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 -> 0.105 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions
real 0m2.195s
user 0m1.374s
sys 0m1.658s
++++ 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 0m0.160s
user 0m0.137s
sys 0m0.055s
++++ 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 -> 0.018 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.428s
user 0m0.343s
sys 0m0.281s
++++ 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 -> 0.012 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions
real 0m0.493s
user 0m0.284s
sys 0m0.633s
++++ 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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.743s
user 0m0.391s
sys 0m0.869s
++++ 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 -> 0.012 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.577s
user 0m0.318s
sys 0m0.734s
++++ 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 -> 0.022 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.548s
user 0m0.313s
sys 0m0.626s
++++ 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 -> 0.131 sec
Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m5.596s
user 0m5.588s
sys 0m0.032s
++++ 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 -> 0.141 sec
Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions
real 0m1.793s
user 0m1.780s
sys 0m0.026s
++++ 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 -> 0.168 sec
Sensitivity checks complete with 408 total errors (max config err= 6.3184e-04) with 0 suppressions
real 0m5.113s
user 0m5.204s
sys 0m0.028s
++++ 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 -> 0.163 sec
Sensitivity checks complete with 479 total errors (max config err= 8.0559e-04) with 0 suppressions
real 0m5.284s
user 0m5.383s
sys 0m0.031s
++++ 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 -> 0.167 sec
Sensitivity checks complete with 402 total errors (max config err= 8.1255e-04) with 0 suppressions
real 0m5.199s
user 0m5.301s
sys 0m0.028s
++++ 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 -> 0.165 sec
Sensitivity checks complete with 451 total errors (max config err= 8.9304e-04) with 0 suppressions
real 0m5.288s
user 0m5.406s
sys 0m0.032s
++++ 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 -> 0.112 sec
Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m1.640s
user 0m1.628s
sys 0m0.025s
++++ 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 -> 0.129 sec
Sensitivity checks complete with 407 total errors (max config err= 6.2111e-04) with 0 suppressions
real 0m4.802s
user 0m4.863s
sys 0m0.030s
++++ 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 -> 0.133 sec
Sensitivity checks complete with 460 total errors (max config err= 6.0513e-04) with 0 suppressions
real 0m5.006s
user 0m5.086s
sys 0m0.029s
++++ 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 -> 0.146 sec
Sensitivity checks complete with 382 total errors (max config err= 6.4555e-04) with 0 suppressions
real 0m5.292s
user 0m5.377s
sys 0m0.033s
++++ 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 -> 0.137 sec
Sensitivity checks complete with 425 total errors (max config err= 6.0266e-04) with 0 suppressions
real 0m5.087s
user 0m5.223s
sys 0m0.058s
++++ 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 -> 0.030 sec
Sensitivity checks complete with 2528 total errors (max config err= 7.6824e-04) with 0 suppressions
real 0m0.843s
user 0m0.997s
sys 0m0.025s
++++ 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 -> 0.287 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m2.947s
user 0m3.064s
sys 0m0.065s
++++ 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 -> 0.604 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m7.689s
user 0m7.944s
sys 0m0.176s
++++ 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 -> 0.273 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m2.958s
user 0m3.091s
sys 0m0.028s
++++ 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 -> 0.570 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m7.670s
user 0m7.884s
sys 0m0.159s
++++ 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 -> 0.981 sec
Sensitivity checks complete with 80040 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m11.646s
user 0m11.859s
sys 0m0.042s
++++ 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 -> 2.065 sec
Sensitivity checks complete with 160081 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m31.896s
user 0m32.272s
sys 0m0.085s
++++ 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 -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.197s
user 0m0.153s
sys 0m0.094s
++++ 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 -> 0.013 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions
real 0m0.284s
user 0m0.243s
sys 0m0.082s
++++ 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 -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 21 suppressions
real 0m0.154s
user 0m0.119s
sys 0m0.095s
++++ 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 0m0.280s
user 0m0.228s
sys 0m0.268s
++++ 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 0m1.072s
user 0m0.552s
sys 0m1.275s
++++ 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 -> 0.019 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m1.129s
user 0m0.564s
sys 0m1.388s
++++ 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 -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions
real 0m1.032s
user 0m0.533s
sys 0m1.264s
++++ 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 -> 0.049 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m7.295s
user 0m3.353s
sys 0m9.601s
++++ 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 0m0.097s
user 0m0.083s
sys 0m0.019s
++++ 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 0m0.097s
user 0m0.078s
sys 0m0.024s
++++ 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 0m0.054s
user 0m0.033s
sys 0m0.018s
++++ 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 0m0.059s
user 0m0.034s
sys 0m0.022s
++++ 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 -> 0.033 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.245s
user 0m0.241s
sys 0m0.028s
++++ 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 -> 0.056 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.242s
user 0m0.244s
sys 0m0.019s
++++ 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 -> 0.025 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.203s
user 0m0.204s
sys 0m0.024s
++++ 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 -> 0.060 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.251s
user 0m0.248s
sys 0m0.026s
++++ 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 -> 0.062 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.423s
user 0m0.410s
sys 0m0.024s
++++ 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 -> 0.062 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions
real 0m0.943s
user 0m1.093s
sys 0m0.021s
++++ 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 -> 0.019 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 45 suppressions
real 0m1.694s
user 0m1.689s
sys 0m0.038s
++++ 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 -> 0.239 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m9.063s
user 0m4.707s
sys 0m10.725s
++++ 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 -> 0.278 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m11.131s
user 0m5.863s
sys 0m13.504s
++++ 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 -> 0.549 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m32.764s
user 0m27.373s
sys 0m15.628s
++++ 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 -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.381s
user 0m0.810s
sys 0m1.715s
++++ 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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.444s
user 0m0.814s
sys 0m1.893s
++++ 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 -> 0.023 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.425s
user 0m0.844s
sys 0m1.722s
++++ 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 -> 0.197 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.883s
user 0m1.332s
sys 0m1.688s
++++ 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 -> 0.199 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.690s
user 0m1.286s
sys 0m1.231s
++++ 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 -> 1.939 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.374s
user 0m0.832s
sys 0m1.665s
++++ 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 -> 2.125 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.740s
user 0m1.169s
sys 0m1.693s
++++ 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 -> 1.814 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.531s
user 0m1.152s
sys 0m1.254s
++++ 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 -> 0.026 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.288s
user 0m0.852s
sys 0m1.330s
++++ 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 -> 0.114 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m7.127s
user 0m4.231s
sys 0m5.822s
++++ 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 -> 0.121 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m7.312s
user 0m4.359s
sys 0m5.984s
++++ 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 -> 0.113 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m7.898s
user 0m4.484s
sys 0m6.628s
++++ 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 -> 0.104 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m7.863s
user 0m4.349s
sys 0m6.848s
++++ 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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.432s
user 0m0.820s
sys 0m1.599s
++++ 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 -> 0.109 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m8.058s
user 0m4.743s
sys 0m6.492s
++++ 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 -> 0.192 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m8.377s
user 0m4.789s
sys 0m7.764s
++++ 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 -> 0.041 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.547s
user 0m0.321s
sys 0m0.690s
++++ 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 0m0.485s
user 0m0.314s
sys 0m0.523s
++++ 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 0m0.499s
user 0m0.345s
sys 0m0.479s
++++ 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 -> 0.179 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.612s
user 0m1.181s
sys 0m1.208s
++++ 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 -> 0.176 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.658s
user 0m1.180s
sys 0m1.339s
++++ 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 0m0.050s
user 0m0.035s
sys 0m0.016s
++++ 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 0m0.138s
user 0m0.186s
sys 0m0.017s
++++ 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 0m0.059s
user 0m0.040s
sys 0m0.017s
++++ 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 0m0.119s
user 0m0.098s
sys 0m0.019s
++++ 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 -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions
real 0m0.107s
user 0m0.087s
sys 0m0.018s
++++ 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 -> 0.118 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions
real 0m0.645s
user 0m0.618s
sys 0m0.029s
++++ 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 -> 0.166 sec
Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions
real 0m0.774s
user 0m0.758s
sys 0m0.030s
++++ 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 -> 0.139 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions
real 0m2.874s
user 0m2.772s
sys 0m0.028s
++++ 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 -> 0.125 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions
real 0m0.768s
user 0m0.741s
sys 0m0.031s
++++ 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 -> 0.329 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions
real 0m1.237s
user 0m1.225s
sys 0m0.035s
++++ 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 -> 0.293 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions
real 0m3.135s
user 0m3.121s
sys 0m0.028s
++++ 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 -> 2.157 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.195s
user 0m0.639s
sys 0m1.618s
++++ 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 -> 2.453 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.371s
user 0m0.723s
sys 0m1.943s
++++ 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 -> 3.003 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.464s
user 0m2.040s
sys 0m1.185s
++++ 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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 7.2984e-07) with 0 suppressions
real 0m1.460s
user 0m0.705s
sys 0m2.281s
++++ 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 -> 0.283 sec
Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m3.991s
user 0m3.763s
sys 0m0.594s
++++ 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 -> 0.198 sec
Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m4.108s
user 0m3.808s
sys 0m0.840s
++++ set +x
data/basic/designP4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
================================ Found errors ================================
==================================================================================================
[Execution node] check if [macys_VM] 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_VM)
[Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=DARWIN64,buildnode=macys_VM #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_VM #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