Started by upstream project "ESP_QuickTestOcsm" build number 166
originally caused by:
Started by user galbramc
Running as galbramc
[EnvInject] - Loading node environment variables.
Building remotely on macys in workspace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cleaning up /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/circle1_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/circle2_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/naca_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src/ruled_naca_dot
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/tire.so
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data/udpTire.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/egads2tri
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/egads2tri.o
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial/tire
Deleting /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/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/7.4/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/7.4/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/7.4/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/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/pyOCSM
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
No changes for svn+ssh://acdl.mit.edu/home/svnroot/EGADS since the previous build
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/src since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/data since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/udc since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/Jenkins since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM since the previous build
[GitCheckoutListener] SCM 'hudson.scm.SubversionSCM' is not of type GitSCM
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[Execution node] check if [macys] is in [[macys, macys_VM, reynolds]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[DARWIN64] $ /bin/bash -xe /var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/jenkins5970033584258257071.sh
+ export NOCAPS=true
+ NOCAPS=true
+ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/JenkinsESP/ESP_Regression.sh
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/JenkinsESP/ESP_Env.sh
+++ AFLR_VERSION=10.11.10
+++ export EFCOMP=gfortran
+++ EFCOMP=gfortran
+++ [[ macys == \r\e\y\n\o\l\d\s ]]
+++ [[ DARWIN64 == *\.\i\f\o\r\t ]]
+++ [[ DARWIN64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export ESP_BLOC=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ ESP_BLOC=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ export ESP_ROOT=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ ESP_ROOT=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64
+++ export AWAVE=awavemod.f
+++ AWAVE=awavemod.f
+++ export RLM_CONNECT_TIMEOUT=350
+++ RLM_CONNECT_TIMEOUT=350
+++ [[ macys == *\r\e\y\n\o\l\d\s* ]]
+++ [[ macys == *\m\a\c\y\s* ]]
+++ export EMPnumProc=2
+++ EMPnumProc=2
+++ source /Users/jenkins/.bash_profile
+++++ brew --prefix
/Users/jenkins/.bash_profile: line 2: brew: command not found
++++ '[' -f /etc/bash_completion ']'
++++ export PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ export PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
++++ export pwid_LICENSE=5053@acdl.mit.edu
++++ pwid_LICENSE=5053@acdl.mit.edu
+++ export PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ PATH=/usr/local/opt/python/libexec/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/bin/
+++ export CASARCH=.
+++ CASARCH=.
+++ export CASROOT=/Users/jenkins/util/ESP/OpenCASCADE-7.4.1
+++ CASROOT=/Users/jenkins/util/ESP/OpenCASCADE-7.4.1
+++ export UDUNITS2_XML_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/udunits/udunits2.xml
+++ UDUNITS2_XML_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib:/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/lib:
+++ DYLD_LIBRARY_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib:/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/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/7.4/sensCSM/config/DARWIN64/CAPS/aim/pointwise/glyph
+++ CAPS_GLYPH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/pyEGADS:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/pyEGADS:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib::/Users/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ [[ macys == \m\a\c\y\s* ]]
+++ mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python-config
+++ rm -f /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/virtualenv
+++ [[ macys == \m\a\c\y\s ]]
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3 /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3-config /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/python-config
+++ ln -s /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/virtualenv /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/virtualenv
++++ python-config --includes
+++ export 'PYTHONINC=. -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
+++ PYTHONINC='. -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
++++ python-config --ldflags
+++ export 'PYTHONLIB=-L/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -ldl -framework CoreFoundation'
+++ PYTHONLIB='-L/Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -ldl -framework CoreFoundation'
+++ export PYTHONUNBUFFERED=true
+++ PYTHONUNBUFFERED=true
+++ python --version
Python 3.7.7
+++ [[ DARWIN64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export CSMDATA=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/data
+++ CSMDATA=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/data
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/JenkinsESP/ESPbfr.sh
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/
+++ tar -xvf /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP_venv
created virtual environment CPython3.7.7.final.0-64 in 294ms
creator CPython3Posix(dest=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP_venv/bin/activate
++++ '[' /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP_venv/bin/activate = /var/folders/xs/_fh4l1p54zqcl6mbk4zclcfr0000gp/T/jenkins5970033584258257071.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/7.4/sensCSM/config/DARWIN64/ESP_venv
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP_venv/bin:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test:/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP_venv
++++ PS1='(ESP_venv) '
++++ export PS1
++++ alias pydoc
++++ true
++++ '[' -n /bin/bash ']'
++++ hash -r
+++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP_venv/bin/pip install -U f90nml
Requirement already up-to-date: f90nml in /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib/python3.7/site-packages (1.2)
WARNING: You are using pip version 20.1.1; however, version 20.3.3 is available.
You should consider upgrading via the '/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP_venv/bin/python -m pip install --upgrade pip' command.
+++ [[ macys == \m\a\c\y\s* ]]
+++ install_name_tool -add_rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/src
+++ make
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
cp -p ../include/DARWIN64 /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/DARWIN64
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD1
SurrealD1_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealD4
SurrealD4_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS1
SurrealS1_test_suite Complete!
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SurrealS4 -O -I. ../util/SurrealS4_btest.cpp
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 uvmap/main/uvmap.c -Iuvmap \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_find_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_find_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_gen.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_gen.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_read.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_read.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_struct_free.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_struct_free.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_test.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_test.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/EG_uvmap_write.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/EG_uvmap_write.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_add.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_add.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_bnd_adj.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_bnd_adj.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_chk_area_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_chk_area_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_cpu_message.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_cpu_message.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_find_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_find_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_from_egads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_from_egads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_gen.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_gen.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_gen_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_gen_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_ibeibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibeibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_ibfibf.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibfibf.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_ibfin.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_ibfin.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_iccibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_iccibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_iccin.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_iccin.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_idibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_idibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_inibe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_inibe.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_inl_uv_bnd.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_inl_uv_bnd.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_malloc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_malloc.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_mben_disc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_mben_disc.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_message.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_message.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_norm_uv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_norm_uv.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_read.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_read.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_solve.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_solve.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_struct_tasks.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_struct_tasks.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_test.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_test.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_to_egads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_to_egads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_version.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_version.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I. uvmap/uvmap_write.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap_write.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 egadsUVmap.c -Iuvmap \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsUVmap.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/uvmap.exe /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/uvmap.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -luvmap -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsGeom.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsHLevel.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsTopo.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsCopy.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsSpline.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsIO.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsSplineFit.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsSkinning.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. egadsTessSens.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include \
-I. BRepLib_FuseEdges.cpp -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BRepLib_FuseEdges.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsBase.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsBase.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsMemory.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsMemory.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsAttrs.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsAttrs.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsTessInp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTessInp.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsTris.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTris.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsQuads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsQuads.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsFit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsFit.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsRobust.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsRobust.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsSBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSBO.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
prmCfit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmCfit.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
prmGrid.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmGrid.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
prmUV.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/prmUV.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsExport.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsExport.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsEffect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsEffect.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include -I../util \
egadsSolids.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSolids.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -DDARWIN64 -I../include ../util/emp.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I. -I../include \
../util/evaluate.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I. -I../include \
../util/rational.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rational.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/Users/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../util \
../util/regQuads.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/regQuads.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegads.dylib
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegads.dylib
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; clang -m64 -g -dynamiclib -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 7.4 \
-current_version 1.0.19 )
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
cp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libuvmap.a /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libegadstatic.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; \
ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsBase.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsBase.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsMemory.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsMemory.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsAttrs.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsAttrs.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsHLevel.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsHLevel.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsGeom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsGeom.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I../include fgadsTopo.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fgadsTopo.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libfgads.a
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a emp.o; )
ar: creating archive /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libemp.a
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
cp -p ../include/egads.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
cp -p ../include/egads_dot.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads_dot.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
cp -p ../include/egads.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egads.inc
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
cp -p ../include/egadsErrors.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsErrors.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
cp -p ../include/egadsTypes.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTypes.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
cp -p ../include/emp.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/emp.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
cp -p ../include/prm.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/prm.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
cp -p ../include/wsserver.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
cp -p ../include/wsserver.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsserver.inc
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
cp -p ../include/wsss.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/wsss.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
cp -p egadsTris.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsTris.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
cp -p egadsSplineFit.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineFit.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
cp -p egadsSplineVels.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsSplineVels.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
cp -p ../include/egadsf90.inc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egadsf90.inc
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD_Lazy.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD_Lazy.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealD_Trad.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealD_Trad.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS_Lazy.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS_Lazy.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/SurrealS_Trad.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/SurrealS_Trad.h
mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal
cp Surreal/always_inline.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/Surreal/always_inline.h
*** EGADS Build Complete! ***
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include base64-decode.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include handshake.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include client-handshake.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include libwebsockets.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension-deflate-stream.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include md5.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension-x-google-mux.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsers.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include extension.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include sha-1.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include browserMessage.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include server.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include wv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fwv.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fwv.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libwsserver.a
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libwsserver.a
(cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj; ar rs /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/servertest.o
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/server /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/servertest.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver \
-lpthread -lz -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include BSplineIGES.c -o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BSplineIGES.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/BSplineIGES /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/BSplineIGES.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f CSys.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include CSys.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/CSys.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/CSys /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/CSys.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f GBO.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include GBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/GBO.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/GBO /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/GBO.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f SBO.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include SBO.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SBO.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/SBO /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/SBO.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f addKnots.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include addKnots.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/addKnots.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/addKnots /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/addKnots.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f agglom.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include agglom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/agglom.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/agglom /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/agglom.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include approx.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/approx.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/approx /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/approx.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads \
-legads -Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f blend.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include blend.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/blend.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/blend /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/blend.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f chamfer.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include chamfer.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/chamfer.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/chamfer /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/chamfer.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include closure.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/closure.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/closure /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/closure.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads \
-legads -Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f edge2WB.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include edge2WB.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edge2WB.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/edge2WB /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edge2WB.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f edges.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include edges.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edges.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/edges /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/edges.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f effective.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include effective.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/effective.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/effective /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/effective.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f egads2cart.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egads2cart.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2cart.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egads2cart /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2cart.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. egads2ply.cpp -std=c++11 \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. tinyply.cpp -std=c++11 -w \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tinyply.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egads2ply /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egads2ply.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tinyply.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsGeom_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsGeom_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsGeom_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsGeom_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsHLevel_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsHLevel_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsHLevel_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsHLevel_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsSpline_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSpline_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsSpline_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsSpline_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egadsTopo_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTopo_dot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/egadsTopo_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/egadsTopo_dot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f exportLite.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include ../src/egadsExport.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/exportLite.o -DSTANDALONE
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/exportLite /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/exportLite.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f extrot.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include extrot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extrot.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/extrot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/extrot.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fillet.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fillet.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fillet.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fillet /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fillet.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fit.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fit.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fit.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fit /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fit.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fitTri.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fitTri.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fitTri.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fitTri /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fitTri.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fullAttr.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fullAttr.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fullAttr.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fullAttr /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fullAttr.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f fuseSheets.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include fuseSheets.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fuseSheets.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/fuseSheets /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/fuseSheets.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f globalTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include globalTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/globalTess.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/globalTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/globalTess.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f hollow.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include hollow.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollow.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/hollow /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollow.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f hollowFace.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include hollowFace.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollowFace.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/hollowFace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/hollowFace.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f intersect.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include intersect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/intersect.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/intersect /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/intersect.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeCone.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeCone.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeCone.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeCone /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeCone.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeFace3D.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeFace3D.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeFace3D.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeFace3D /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeFace3D.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f makeLoop.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include makeLoop.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeLoop.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/makeLoop /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/makeLoop.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mapTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include mapTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mapTess.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mapTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mapTess.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mofb.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include mofb.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mofb.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mofb /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mofb.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f mssb.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include mssb.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mssb.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/mssb /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/mssb.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f multiContext.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include multiContext.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/multiContext.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/multiContext /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/multiContext.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f offset.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include offset.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/offset.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/offset /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/offset.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f rebuild.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include rebuild.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rebuild.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/rebuild /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/rebuild.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f ref.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include ref.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ref.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/ref /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ref.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f replace.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include replace.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/replace.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/replace /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/replace.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f revolve.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include revolve.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/revolve.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/revolve /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/revolve.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f ruled.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include ruled.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/ruled /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f scribe.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include scribe.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/scribe.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/scribe /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/scribe.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f sew.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include sew.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sew.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/sew /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sew.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f smallEdges.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include smallEdges.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/smallEdges.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/smallEdges /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/smallEdges.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include step.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/step.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/step /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/step.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f sweep.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include sweep.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sweep.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/sweep /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sweep.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f test.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include testc.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testc.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/testc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testc.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include testf.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testf.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/testf /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/testf.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsec.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsec.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/parsec /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsec.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
gfortran -m64 -g -c -O -frecursive -fcray-pointer -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include parsef.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsef.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/parsef /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/parsef.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f tolerance.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include tolerance.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tolerance.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/tolerance /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/tolerance.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads \
-rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include union.f -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/union.o
gfortran -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/union /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/union.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lfgads -legads \
-Wl,-rpath,/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -Wl,-rpath,/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lc++
+++ for file in '`ls *.make`'
+++ make -f vAttr.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vAttr.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vAttr.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vAttr /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vAttr.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vCurvature.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vCurvature.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vCurvature.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vCurvature /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vCurvature.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vEffect.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vEffect.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEffect.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vEffect /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEffect.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vEto.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vEto.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEto.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vEto /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vEto.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vFrame.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vFrame.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vFrame.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vFrame /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vFrame.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vGeom.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vGeom.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vGeom.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vGeom /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vGeom.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads \
-lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vQuad.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vQuad.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vQuad.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vQuad /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vQuad.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vTess.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vTess.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include ../util/retessFaces.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTesstatic /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legadstatic -L/Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTess /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTess.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/retessFaces.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f vTessInp.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include vTessInp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTessInp.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/vTessInp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/vTessInp.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -lwsserver -legads -lpthread -lz -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ for file in '`ls *.make`'
+++ make -f xform.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include xform.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/xform.o
clang++ -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/test/xform /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/xform.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/Tutorial
+++ make -f tire.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include tire.c
clang++ -m64 -g -o tire tire.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ make -f egads2tri.make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include egads2tri.c
clang++ -m64 -g -o egads2tri egads2tri.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/EGADS_dot/src
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. circle1_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle1_dot.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. pingBodies.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o
clang -m64 -g -o circle1_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle1_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. circle2_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle2_dot.o
clang -m64 -g -o circle2_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/circle2_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. naca_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca_dot.o
clang -m64 -g -o naca_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. ruled_naca_dot.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled_naca_dot.o
clang -m64 -g -o ruled_naca_dot /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/ruled_naca_dot.o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/pingBodies.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/src
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. serveCSM.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/serveCSM.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. OpenCSM.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/OpenCSM.o
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udp.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udp.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib
clang -m64 -g -dynamiclib -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/libocsm.dylib /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/OpenCSM.o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udp.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/serveCSM /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/serveCSM.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. sensCSM.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sensCSM.o
clang -m64 -g -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/sensCSM.o -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBezier.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBezier.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/bezier.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBezier.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBiconvex.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBiconvex.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/biconvex.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBiconvex.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpBox.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBox.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/box.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpBox.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCatmull.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCatmull.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/catmull.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCatmull.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCompare.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCompare.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/compare.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCompare.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCreateBEM.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreateBEM.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createBEM.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreateBEM.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfCreatePoly.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreatePoly.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/createPoly.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfCreatePoly.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpCsm.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpCsm.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/csm.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpCsm.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfDroop.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfDroop.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/droop.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfDroop.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfEditAttr.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfEditAttr.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/editAttr.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfEditAttr.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpEllipse.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpEllipse.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ellipse.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpEllipse.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpFitcurve.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFitcurve.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/fitcurve.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFitcurve.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpFreeform.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFreeform.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/freeform.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpFreeform.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfFlend.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfFlend.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/flend.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfFlend.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfGanged.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGanged.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/ganged.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGanged.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfGuide.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGuide.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/guide.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfGuide.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfMatchBodys.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfMatchBodys.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/matchBodys.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfMatchBodys.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpHex.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpHex.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/hex.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpHex.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpImport.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpImport.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/import.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpImport.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpKulfan.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpKulfan.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/kulfan.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpKulfan.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNaca.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNurbbody.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNurbbody.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/nurbbody.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNurbbody.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpParsec.cpp \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpParsec.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so
clang++ -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/parsec.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpParsec.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpPod.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPod.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/pod.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPod.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpPoly.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPoly.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/poly.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpPoly.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfPrintBbox.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBbox.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBbox.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBbox.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfPrintBrep.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBrep.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/printBrep.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfPrintBrep.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpRadwaf.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpRadwaf.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/radwaf.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpRadwaf.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSample.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSample.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sample.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSample.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSew.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSew.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/sew.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSew.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpStag.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpStag.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stag.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpStag.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udfStiffener.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfStiffener.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/stiffener.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfStiffener.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpSupell.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSupell.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/supell.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpSupell.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpWaffle.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpWaffle.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/waffle.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpWaffle.o \
-L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. eggPDT2.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/eggPDT2.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/PDT2.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/eggPDT2.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib \
-legads -lm
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. udpNaca456.c \
-o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca456.o
gfortran -m64 -g -c -O -frecursive -fcray-pointer naca456.f90 -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca456.o -J /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so
gfortran -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/naca456.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udpNaca456.o \
/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/naca456.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -locsm -legads -lm
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
cp -p OpenCSM.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/OpenCSM.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
cp -p common.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/common.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
cp -p udp.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udp.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
cp -p egg.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/egg.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
cp -p udpUtilities.h /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.h
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.c
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include/udpUtilities.c
cp -p udpUtilities.c /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include -I. -I/Users/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfTile.o
touch /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so
rm /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so
clang -m64 -g -bundle -undefined error -o /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib/tile.so /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/obj/udfTile.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -lm
+++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/EGADS/trunk/docs/UDP_UDF/data
+++ make
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/include udpTire.c -o tire.o
clang -m64 -g -o tire tire.o -L/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
clang -m64 -g -c -O -Wall -Wno-dangling-else -Wno-unused-result -DREVISION=7.4 -DUDP -I/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -legads -lm -rpath /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/lib -rpath /Users/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib
+++ [[ true == '' ]]
+++ ln -f -s /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/udc /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64
++++ find /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM/trunk/data/training/ -name Makefile
++ mkdir -p /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/test
++ cd /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/test
++ source /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/JenkinsESP/RunRegression.sh
+++ [[ 0 == 1 ]]
+++ [[ 0 == 2 ]]
+++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64 == '' ]]
+++ [[ sensCSM/config == '' ]]
+++ [[ 7.4 == '' ]]
+++ [[ ! -d /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/DARWIN64/ESP/test /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM
++++ local source=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/test
++++ local target=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/OpenCSM
++++ local common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/test
++++ local result=
++++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/sensCSM/config/DARWIN64/ESP/test
++++ common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP
++++ [[ -z '' ]]
++++ local result=..
++++ [[ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/sensCSM/config/DARWIN64/ESP
++++ common_part=/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/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/7.4/sensCSM/config/DARWIN64/JenkinsESP/splitCSMFiles.sh
++++ [[ -n '' ]]
+++ export SENS=-config
+++ SENS=-config
+++ cp /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/JenkinsESP/data/sensFailure.txt .
+++ set +x
total 19976
-rw-r----- 1 jenkins staff 1.2M Oct 30 2018 ASTRO.D01
-rw-r----- 1 jenkins staff 316K Oct 30 2018 ASTRO.IDX
-rwxr-xr-x 1 jenkins staff 7.9M Jan 20 11:56 mastros.exe
lrwxr-xr-x 1 jenkins staff 59B Jan 20 11:56 python -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3
lrwxr-xr-x 1 jenkins staff 66B Jan 20 11:56 python-config -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/python3-config
-rwxr-xr-x 1 jenkins staff 52K Jan 20 11:59 sensCSM
-rwxr-xr-x 1 jenkins staff 304K Jan 20 11:59 serveCSM
lrwxr-xr-x 1 jenkins staff 62B Jan 20 11:56 virtualenv -> /Users/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin/virtualenv
Testing CSM files:
../../OpenCSM/trunk/data/basic/design0.csm
../../OpenCSM/trunk/data/basic/design0a.csm
../../OpenCSM/trunk/data/basic/design0b.csm
../../OpenCSM/trunk/data/basic/design0c.csm
../../OpenCSM/trunk/data/basic/design0d.csm
../../OpenCSM/trunk/data/basic/design0e.csm
../../OpenCSM/trunk/data/basic/design0f.csm
../../OpenCSM/trunk/data/basic/design0g.csm
../../OpenCSM/trunk/data/basic/design0h.csm
../../OpenCSM/trunk/data/basic/design0i.csm
../../OpenCSM/trunk/data/basic/design0j.csm
../../OpenCSM/trunk/data/basic/design0k.csm
../../OpenCSM/trunk/data/basic/design0m.csm
../../OpenCSM/trunk/data/basic/design0n1.csm
../../OpenCSM/trunk/data/basic/design0n2.csm
../../OpenCSM/trunk/data/basic/design0n3.csm
../../OpenCSM/trunk/data/basic/design0n4.csm
../../OpenCSM/trunk/data/basic/design0o1.csm
../../OpenCSM/trunk/data/basic/design0o2.csm
../../OpenCSM/trunk/data/basic/design0o3.csm
../../OpenCSM/trunk/data/basic/design0o4.csm
../../OpenCSM/trunk/data/basic/design0p.csm
../../OpenCSM/trunk/data/basic/design0q.csm
../../OpenCSM/trunk/data/basic/design0r.csm
../../OpenCSM/trunk/data/basic/design0s.csm
../../OpenCSM/trunk/data/basic/design0t1.csm
../../OpenCSM/trunk/data/basic/design0t2.csm
../../OpenCSM/trunk/data/basic/design0t3.csm
../../OpenCSM/trunk/data/basic/design0u.csm
../../OpenCSM/trunk/data/basic/design0v.csm
../../OpenCSM/trunk/data/basic/design0w.csm
../../OpenCSM/trunk/data/basic/design1a.csm
../../OpenCSM/trunk/data/basic/design1b.csm
../../OpenCSM/trunk/data/basic/design2.csm
../../OpenCSM/trunk/data/basic/design3.csm
../../OpenCSM/trunk/data/basic/design4.csm
../../OpenCSM/trunk/data/basic/design5.csm
../../OpenCSM/trunk/data/basic/design6.csm
../../OpenCSM/trunk/data/basic/design7.csm
../../OpenCSM/trunk/data/basic/design8.csm
../../OpenCSM/trunk/data/basic/design8a.csm
../../OpenCSM/trunk/data/basic/design8b.csm
../../OpenCSM/trunk/data/basic/design8c.csm
../../OpenCSM/trunk/data/basic/design8d.csm
../../OpenCSM/trunk/data/basic/design9.csm
../../OpenCSM/trunk/data/basic/designA.csm
../../OpenCSM/trunk/data/basic/designB1.csm
../../OpenCSM/trunk/data/basic/designB2.csm
../../OpenCSM/trunk/data/basic/designB3.csm
../../OpenCSM/trunk/data/basic/designB4.csm
../../OpenCSM/trunk/data/basic/designB5.csm
../../OpenCSM/trunk/data/basic/designC0.csm
../../OpenCSM/trunk/data/basic/designC1a.csm
../../OpenCSM/trunk/data/basic/designC1b.csm
../../OpenCSM/trunk/data/basic/designC2a.csm
../../OpenCSM/trunk/data/basic/designC2b.csm
../../OpenCSM/trunk/data/basic/designC3a.csm
../../OpenCSM/trunk/data/basic/designC3b.csm
../../OpenCSM/trunk/data/basic/designC4a.csm
../../OpenCSM/trunk/data/basic/designC4b.csm
../../OpenCSM/trunk/data/basic/designC5a.csm
../../OpenCSM/trunk/data/basic/designC5b.csm
../../OpenCSM/trunk/data/basic/designC6a.csm
../../OpenCSM/trunk/data/basic/designC6b.csm
../../OpenCSM/trunk/data/basic/designD0a.csm
../../OpenCSM/trunk/data/basic/designD0b.csm
../../OpenCSM/trunk/data/basic/designD0c.csm
../../OpenCSM/trunk/data/basic/designD1a.csm
../../OpenCSM/trunk/data/basic/designD1b.csm
../../OpenCSM/trunk/data/basic/designD1c.csm
../../OpenCSM/trunk/data/basic/designD2a.csm
../../OpenCSM/trunk/data/basic/designD2b.csm
../../OpenCSM/trunk/data/basic/designD2c.csm
../../OpenCSM/trunk/data/basic/designD3a.csm
../../OpenCSM/trunk/data/basic/designD3b.csm
../../OpenCSM/trunk/data/basic/designD3c.csm
../../OpenCSM/trunk/data/basic/designD4a.csm
../../OpenCSM/trunk/data/basic/designD4b.csm
../../OpenCSM/trunk/data/basic/designD4c.csm
../../OpenCSM/trunk/data/basic/designD5a.csm
../../OpenCSM/trunk/data/basic/designD5b.csm
../../OpenCSM/trunk/data/basic/designD5c.csm
../../OpenCSM/trunk/data/basic/designD6a0.csm
../../OpenCSM/trunk/data/basic/designD6a1.csm
../../OpenCSM/trunk/data/basic/designD6a2.csm
../../OpenCSM/trunk/data/basic/designD6b0.csm
../../OpenCSM/trunk/data/basic/designD6b1.csm
../../OpenCSM/trunk/data/basic/designD6b2.csm
../../OpenCSM/trunk/data/basic/designD6c0.csm
../../OpenCSM/trunk/data/basic/designD6c1.csm
../../OpenCSM/trunk/data/basic/designD6c2.csm
../../OpenCSM/trunk/data/basic/designE1.csm
../../OpenCSM/trunk/data/basic/designE2.csm
../../OpenCSM/trunk/data/basic/designE3.csm
../../OpenCSM/trunk/data/basic/designE4.csm
../../OpenCSM/trunk/data/basic/designE5.csm
../../OpenCSM/trunk/data/basic/designE6.csm
../../OpenCSM/trunk/data/basic/designE7.csm
../../OpenCSM/trunk/data/basic/designE8.csm
../../OpenCSM/trunk/data/basic/designE9.csm
../../OpenCSM/trunk/data/basic/designEa.csm
../../OpenCSM/trunk/data/basic/designEb.csm
../../OpenCSM/trunk/data/basic/designF0bb.csm
../../OpenCSM/trunk/data/basic/designF1bb.csm
../../OpenCSM/trunk/data/basic/designF1rr.csm
../../OpenCSM/trunk/data/basic/designF1rs.csm
../../OpenCSM/trunk/data/basic/designF1sr.csm
../../OpenCSM/trunk/data/basic/designF1ss.csm
../../OpenCSM/trunk/data/basic/designF2bb.csm
../../OpenCSM/trunk/data/basic/designF2rr.csm
../../OpenCSM/trunk/data/basic/designF2rs.csm
../../OpenCSM/trunk/data/basic/designF2sr.csm
../../OpenCSM/trunk/data/basic/designF2ss.csm
../../OpenCSM/trunk/data/basic/designG0.csm
../../OpenCSM/trunk/data/basic/designG1.csm
../../OpenCSM/trunk/data/basic/designG2.csm
../../OpenCSM/trunk/data/basic/designG3.csm
../../OpenCSM/trunk/data/basic/designG4.csm
../../OpenCSM/trunk/data/basic/designG5.csm
../../OpenCSM/trunk/data/basic/designG6.csm
../../OpenCSM/trunk/data/basic/designH1.csm
../../OpenCSM/trunk/data/basic/designH2.csm
../../OpenCSM/trunk/data/basic/designH3.csm
../../OpenCSM/trunk/data/basic/designH4.csm
../../OpenCSM/trunk/data/basic/designI1.csm
../../OpenCSM/trunk/data/basic/designI2.csm
../../OpenCSM/trunk/data/basic/designI3.csm
../../OpenCSM/trunk/data/basic/designI4.csm
../../OpenCSM/trunk/data/basic/designJ1a.csm
../../OpenCSM/trunk/data/basic/designJ1b.csm
../../OpenCSM/trunk/data/basic/designJ1c.csm
../../OpenCSM/trunk/data/basic/designJ1d.csm
../../OpenCSM/trunk/data/basic/designJ2a.csm
../../OpenCSM/trunk/data/basic/designJ2b.csm
../../OpenCSM/trunk/data/basic/designJ3a.csm
../../OpenCSM/trunk/data/basic/designJ3b.csm
../../OpenCSM/trunk/data/basic/designJ4a.csm
../../OpenCSM/trunk/data/basic/designJ4b.csm
../../OpenCSM/trunk/data/basic/designJ5.csm
../../OpenCSM/trunk/data/basic/designK0.csm
../../OpenCSM/trunk/data/basic/designK1.csm
../../OpenCSM/trunk/data/basic/designK2.csm
../../OpenCSM/trunk/data/basic/designL00.csm
../../OpenCSM/trunk/data/basic/designL01.csm
../../OpenCSM/trunk/data/basic/designL10.csm
../../OpenCSM/trunk/data/basic/designL11.csm
../../OpenCSM/trunk/data/basic/designL12.csm
../../OpenCSM/trunk/data/basic/designL20.csm
../../OpenCSM/trunk/data/basic/designL21.csm
../../OpenCSM/trunk/data/basic/designL22.csm
../../OpenCSM/trunk/data/basic/designL30.csm
../../OpenCSM/trunk/data/basic/designL31.csm
../../OpenCSM/trunk/data/basic/designL32.csm
../../OpenCSM/trunk/data/basic/designL33.csm
../../OpenCSM/trunk/data/basic/designL34.csm
../../OpenCSM/trunk/data/basic/designL40.csm
../../OpenCSM/trunk/data/basic/designL41.csm
../../OpenCSM/trunk/data/basic/designL42.csm
../../OpenCSM/trunk/data/basic/designM0.csm
../../OpenCSM/trunk/data/basic/designM1.csm
../../OpenCSM/trunk/data/basic/designM2.csm
../../OpenCSM/trunk/data/basic/designM3.csm
../../OpenCSM/trunk/data/basic/designM4.csm
../../OpenCSM/trunk/data/basic/designN1.csm
../../OpenCSM/trunk/data/basic/designN2.csm
../../OpenCSM/trunk/data/basic/designP0a.csm
../../OpenCSM/trunk/data/basic/designP0b.csm
../../OpenCSM/trunk/data/basic/designP0c.csm
../../OpenCSM/trunk/data/basic/designP1a.csm
../../OpenCSM/trunk/data/basic/designP1b.csm
../../OpenCSM/trunk/data/basic/designP1c.csm
../../OpenCSM/trunk/data/basic/designP2a.csm
../../OpenCSM/trunk/data/basic/designP2b.csm
../../OpenCSM/trunk/data/basic/designP2c.csm
../../OpenCSM/trunk/data/basic/designP3a.csm
../../OpenCSM/trunk/data/basic/designP3b.csm
../../OpenCSM/trunk/data/basic/designP3c.csm
../../OpenCSM/trunk/data/basic/designP4a.csm
../../OpenCSM/trunk/data/basic/designP4b.csm
../../OpenCSM/trunk/data/basic/designP4c.csm
( 1 / 180 )
data/basic/design0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5417e-09) with 0 suppressions
real 0m0.420s
user 0m0.169s
sys 0m0.014s
++++ set +x
data/basic/design0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 2 / 180 )
data/basic/design0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.085 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.824s
user 0m0.903s
sys 0m0.042s
++++ set +x
data/basic/design0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 3 / 180 )
data/basic/design0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.070 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.135s
user 0m0.141s
sys 0m0.015s
++++ set +x
data/basic/design0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 4 / 180 )
data/basic/design0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.011 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9366e-06) with 0 suppressions
real 0m0.797s
user 0m1.219s
sys 0m0.276s
++++ set +x
data/basic/design0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 5 / 180 )
data/basic/design0d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.161s
user 0m0.090s
sys 0m0.014s
++++ set +x
data/basic/design0d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 6 / 180 )
data/basic/design0e.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.214s
user 0m0.132s
sys 0m0.012s
++++ set +x
data/basic/design0e -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 7 / 180 )
data/basic/design0f.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.019 sec
Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions
real 0m0.220s
user 0m0.237s
sys 0m0.016s
++++ set +x
data/basic/design0f -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 8 / 180 )
data/basic/design0g.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.425 sec
Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions
real 0m10.811s
user 0m11.100s
sys 0m0.047s
++++ set +x
data/basic/design0g -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 9 / 180 )
data/basic/design0h.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.398s
user 0m0.320s
sys 0m0.011s
++++ set +x
data/basic/design0h -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 10 / 180 )
data/basic/design0i.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0i.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "rx" for ibody=2
d(Face)/d(rx) check complete with 0 total errors (errmax= 4.1184e-10)
d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.3907e-10)
d(Node)/d(rx) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "ry" for ibody=2
d(Face)/d(ry) check complete with 0 total errors (errmax= 5.0985e-10)
d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.8353e-10)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "span" for ibody=2
d(Face)/d(span) check complete with 0 total errors (errmax= 4.1083e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 5.0985e-10) with 0 suppressions
real 0m0.150s
user 0m0.208s
sys 0m0.011s
++++ set +x
data/basic/design0i -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 11 / 180 )
data/basic/design0j.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.495 sec
Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions
real 0m3.444s
user 0m3.446s
sys 0m0.020s
++++ set +x
data/basic/design0j -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 12 / 180 )
data/basic/design0k.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.591 sec
Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m26.886s
user 0m26.876s
sys 0m0.068s
++++ set +x
data/basic/design0k -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 13 / 180 )
data/basic/design0m.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.160s
user 0m0.152s
sys 0m0.009s
++++ set +x
data/basic/design0m -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 14 / 180 )
data/basic/design0n1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.017 sec
Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions
real 0m0.234s
user 0m0.301s
sys 0m0.011s
++++ set +x
data/basic/design0n1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 15 / 180 )
data/basic/design0n2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.225 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.411s
user 0m0.415s
sys 0m0.012s
++++ set +x
data/basic/design0n2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 16 / 180 )
data/basic/design0n3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.152 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.376s
user 0m0.364s
sys 0m0.014s
++++ set +x
data/basic/design0n3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 17 / 180 )
data/basic/design0n4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.156 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.343s
user 0m0.405s
sys 0m0.012s
++++ set +x
data/basic/design0n4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 18 / 180 )
data/basic/design0o1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.106 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.715s
user 0m0.817s
sys 0m0.014s
++++ set +x
data/basic/design0o1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 19 / 180 )
data/basic/design0o2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.952 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.189s
user 0m2.283s
sys 0m0.017s
++++ set +x
data/basic/design0o2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 20 / 180 )
data/basic/design0o3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.123 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m0.817s
user 0m0.914s
sys 0m0.012s
++++ set +x
data/basic/design0o3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 21 / 180 )
data/basic/design0o4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.809 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.037s
user 0m2.132s
sys 0m0.018s
++++ set +x
data/basic/design0o4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 22 / 180 )
data/basic/design0p.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0p.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "camber" for ibody=4
d(Face)/d(camber) check complete with 0 total errors (errmax= 8.3237e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 8.3237e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "chord" for ibody=4
d(Face)/d(chord) check complete with 0 total errors (errmax= 6.7400e-11)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10)
*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "alpha" for ibody=4
d(Face)/d(alpha) check complete with 0 total errors (errmax= 1.0039e-10)
d(Edge)/d(alpha) check complete with 0 total errors (errmax= 1.0039e-10)
d(Node)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "span" for ibody=4
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3865e-11)
d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 8.3237e-05) with 0 suppressions
real 0m0.050s
user 0m0.040s
sys 0m0.009s
++++ set +x
data/basic/design0p -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 23 / 180 )
data/basic/design0q.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.040 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4023e-07) with 0 suppressions
real 0m0.310s
user 0m0.306s
sys 0m0.011s
++++ set +x
data/basic/design0q -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 24 / 180 )
data/basic/design0r.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 1.5658e-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= 1.7411e-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= 5.1324e-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= 1.2242e-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= 1.3533e-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= 5.2300e-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= 1.5152e-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= 1.4959e-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= 1.8684e-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 -> 0.059 sec
Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions
real 0m1.443s
user 0m1.800s
sys 0m0.228s
++++ set +x
data/basic/design0r -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 25 / 180 )
data/basic/design0s.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.064s
user 0m0.055s
sys 0m0.013s
++++ set +x
data/basic/design0s -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 26 / 180 )
data/basic/design0t1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 6.9889e-11) with 0 suppressions
real 0m0.064s
user 0m0.053s
sys 0m0.014s
++++ set +x
data/basic/design0t1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 27 / 180 )
data/basic/design0t2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.031 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.218s
user 0m0.224s
sys 0m0.012s
++++ set +x
data/basic/design0t2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 28 / 180 )
data/basic/design0t3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.209s
user 0m0.221s
sys 0m0.015s
++++ set +x
data/basic/design0t3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 29 / 180 )
data/basic/design0u.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0u.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rx" for ibody=1
d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 24 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 0.00000000)
iedge= 1, ipnt= 27 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 0.00000000)
iedge= 1, ipnt= 28 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 0.00000000)
iedge= 1, ipnt= 29 (X): anal= 0.03774996, fd= 0.03753804, err= 0.00021193 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 0.00000000)
iedge= 2, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 0.00000000)
iedge= 3, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 0.00000000)
iedge= 3, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 0.00000000)
iedge= 3, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 0.00000000)
iedge= 3, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753804, err= -0.00021193 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 0.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 0.00000000)
iedge= 4, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 0.00000000)
d(Edge)/d(rx) check complete with 24 total errors (errmax= 4.6646e-04)
d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ry" for ibody=1
d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 29 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 29 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 31 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 29 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 0.00000000)
d(Edge)/d(ry) check complete with 12 total errors (errmax= 2.3319e-04)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 36 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.111s
user 0m0.037s
sys 0m0.012s
++++ set +x
data/basic/design0u -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 30 / 180 )
data/basic/design0v.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.007 sec
Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.130s
user 0m0.132s
sys 0m0.014s
++++ set +x
data/basic/design0v -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 31 / 180 )
data/basic/design0w.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.098 sec
Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions
real 0m8.780s
user 0m8.799s
sys 0m0.039s
++++ set +x
data/basic/design0w -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 32 / 180 )
data/basic/design1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.043 sec
Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions
real 0m0.499s
user 0m0.596s
sys 0m0.028s
++++ set +x
data/basic/design1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 33 / 180 )
data/basic/design1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.052 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions
real 0m1.802s
user 0m1.977s
sys 0m0.178s
++++ set +x
data/basic/design1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 34 / 180 )
data/basic/design2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "BoxFil"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Wslot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dslot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Nhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Fhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Fpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 22.515 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m22.650s
user 0m23.122s
sys 0m0.682s
++++ set +x
data/basic/design2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 35 / 180 )
data/basic/design3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rcone"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rsphere"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rmajor"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rminor"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 4.575 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m3.880s
user 0m4.950s
sys 0m0.354s
++++ set +x
data/basic/design3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 36 / 180 )
data/basic/design4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.056 sec
Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions
real 0m1.701s
user 0m1.849s
sys 0m0.172s
++++ set +x
data/basic/design4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 37 / 180 )
data/basic/design5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 117.144 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m55.376s
user 1m30.101s
sys 0m37.392s
++++ set +x
data/basic/design5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 38 / 180 )
data/basic/design6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design6.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "width"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "neckDiam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "neckHeight"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "wall"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "filRad1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "filRad2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 6.623 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m7.491s
user 0m7.748s
sys 0m0.071s
++++ set +x
data/basic/design6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 39 / 180 )
data/basic/design7.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 34.365 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m31.031s
user 0m37.085s
sys 0m0.798s
++++ set +x
data/basic/design7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 40 / 180 )
data/basic/design8.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xcent" for ibody=1
d(Face)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ycent" for ibody=1
d(Face)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zcent" for ibody=1
d(Face)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "L" for ibody=1
d(Face)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "H" for ibody=1
d(Face)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "W" for ibody=1
d(Face)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.066s
user 0m0.061s
sys 0m0.011s
++++ set +x
data/basic/design8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 41 / 180 )
data/basic/design8a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9666e-08) with 0 suppressions
real 0m0.259s
user 0m0.277s
sys 0m0.037s
++++ set +x
data/basic/design8a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 42 / 180 )
data/basic/design8b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.253s
user 0m0.273s
sys 0m0.035s
++++ set +x
data/basic/design8b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 43 / 180 )
data/basic/design8c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.046 sec
Sensitivity checks complete with 52 total errors (max config err= 2.4214e-04) with 0 suppressions
real 0m0.646s
user 0m0.835s
sys 0m0.194s
++++ set +x
data/basic/design8c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 44 / 180 )
data/basic/design8d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions
real 0m0.782s
user 0m0.874s
sys 0m0.132s
++++ set +x
data/basic/design8d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 45 / 180 )
data/basic/design9.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 1.5835e-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= 2.5696e-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= 6.3891e-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= 6.4104e-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= 1.0499e-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= 4.5874e-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= 1.1395e-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= 5.8818e-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= 1.6306e-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= 7.2434e-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= 9.8654e-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= 9.8719e-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= 1.0958e-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= 1.2667e-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= 6.7559e-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= 2.3247e-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= 7.5116e-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= 7.5091e-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= 6.9776e-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= 4.3470e-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= 8.3302e-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= 8.3426e-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= 3.7178e-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= 5.2453e-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= 5.0966e-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= 8.4239e-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= 8.4320e-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= 4.7447e-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= 6.3746e-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= 7.7749e-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= 7.7726e-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= 1.5451e-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= 4.1564e-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= 7.9735e-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= 440 (Z): anal= 0.00197537, fd= 0.00167699, err= 0.00029838 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 448 (Z): anal= 0.00505629, fd= 0.00478797, err= 0.00026833 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 435 (Z): anal= 0.00744421, fd= 0.00723486, err= 0.00020935 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 439 (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= 440 (Z): anal= 0.88794475, fd= 0.88824250, err= -0.00029775 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 448 (Z): anal= 0.85073428, fd= 0.85100199, err= -0.00026771 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 435 (Z): anal= 0.84436018, fd= 0.84456905, err= -0.00020887 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 439 (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= 464 (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= 649 (Z): anal= 1.63049429, fd= 1.63028329, err= 0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 726 (Z): anal= 1.12408656, fd= 1.12394235, err= 0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 733 (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=1075 (Z): anal= 0.06201279, fd= 0.06212621, err= -0.00011342 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1234 (Z): anal= 0.06351907, fd= 0.06368623, err= -0.00016716 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 495 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 634 (Z): anal= 1.60533990, fd= 1.60513174, err= 0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 718 (Z): anal= 0.95994132, fd= 0.95981738, err= 0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 836 (Z): anal= 1.83890312, fd= 1.83874461, err= 0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 837 (Z): anal= 1.50569055, fd= 1.50555924, err= 0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 950 (Z): anal= 1.62428103, fd= 1.62413080, err= 0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1041 (Z): anal= 0.07145195, fd= 0.07164671, err= -0.00019476 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1045 (Z): anal= 1.56406139, fd= 1.56389028, err= 0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1139 (Z): anal= 0.06542262, fd= 0.06560017, err= -0.00017755 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1140 (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= 464 (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= 649 (Z): anal= 0.06386323, fd= 0.06407422, err= -0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 726 (Z): anal= 0.04117709, fd= 0.04132130, err= -0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 733 (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=1075 (Z): anal= 1.11841858, fd= 1.11830524, err= 0.00011334 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1234 (Z): anal= 1.35138132, fd= 1.35121419, err= 0.00016713 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 495 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 634 (Z): anal= 0.06336000, fd= 0.06356817, err= -0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 718 (Z): anal= 0.03550303, fd= 0.03562697, err= -0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 836 (Z): anal= 0.05103193, fd= 0.05119044, err= -0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 837 (Z): anal= 0.08716186, fd= 0.08729316, err= -0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 950 (Z): anal= 0.09252081, fd= 0.09267104, err= -0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1041 (Z): anal= 1.55837437, fd= 1.55817967, err= 0.00019470 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1045 (Z): anal= 0.05196325, fd= 0.05213436, err= -0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1139 (Z): anal= 1.41879740, fd= 1.41861993, err= 0.00017747 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1140 (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= 8.1141e-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= 480 (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= 493 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 649 (Z): anal= -1.11535065, fd= -1.11518931, err= -0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 726 (Z): anal= -0.80721884, fd= -0.80710453, err= -0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 733 (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=1234 (Z): anal= -0.04482068, fd= -0.04495122, err= 0.00013054 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 481 (Z): anal= 0.00410616, fd= 0.00399383, err= 0.00011233 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 492 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 495 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 634 (Z): anal= -1.10251625, fd= -1.10235660, err= -0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 836 (Z): anal= -1.22289508, fd= -1.22277641, err= -0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 950 (Z): anal= -0.98640477, fd= -0.98629979, err= -0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1041 (Z): anal= -0.04919235, fd= -0.04934166, err= 0.00014930 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1045 (Z): anal= -0.76029107, fd= -0.76019068, err= -0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1139 (Z): anal= -0.04588569, fd= -0.04602371, err= 0.00013802 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1140 (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= 480 (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= 493 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 649 (Z): anal= -0.04384375, fd= -0.04400509, err= 0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 726 (Z): anal= -0.02966915, fd= -0.02978346, err= 0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 733 (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=1234 (Z): anal= -0.95100483, fd= -0.95087434, err= -0.00013049 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 481 (Z): anal= 0.40655336, fd= 0.40666574, err= -0.00011239 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 492 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 495 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 634 (Z): anal= -0.04366914, fd= -0.04382879, err= 0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 836 (Z): anal= -0.03405854, fd= -0.03417721, err= 0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 950 (Z): anal= -0.05631642, fd= -0.05642140, err= 0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1041 (Z): anal= -1.06971119, fd= -1.06956190, err= -0.00014929 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1045 (Z): anal= -0.02541805, fd= -0.02551843, err= 0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1139 (Z): anal= -0.99230508, fd= -0.99216709, err= -0.00013799 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1140 (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= 2.4655e-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= 6.4853e-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= 8.9162e-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= 5.7222e-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= 1.9870e-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= 2.0096e-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= 8.2924e-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= 2.4758e-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= 3.6055e-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= 7.8655e-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= 1.9040e-09)
d(Edge)/d(sweep_v) check complete with 0 total errors (errmax= 1.1759e-07)
d(Node)/d(sweep_v) check complete with 0 total errors (errmax= 7.4348e-08)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 5.500 sec
Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions
real 6m11.920s
user 9m36.153s
sys 0m26.198s
++++ set +x
data/basic/design9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 46 / 180 )
data/basic/designA.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.062s
user 0m0.053s
sys 0m0.011s
++++ set +x
data/basic/designA -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 47 / 180 )
data/basic/designB1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.053 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m1.387s
user 0m1.626s
sys 0m0.062s
++++ set +x
data/basic/designB1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 48 / 180 )
data/basic/designB2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.073 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m1.473s
user 0m1.740s
sys 0m0.056s
++++ set +x
data/basic/designB2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 49 / 180 )
data/basic/designB3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.184 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.290s
user 0m1.537s
sys 0m0.059s
++++ set +x
data/basic/designB3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 50 / 180 )
data/basic/designB4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.285 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8633e-07) with 0 suppressions
real 0m2.892s
user 0m3.680s
sys 0m0.085s
++++ set +x
data/basic/designB4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 51 / 180 )
data/basic/designB5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.420 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions
real 0m4.789s
user 0m5.845s
sys 0m0.126s
++++ set +x
data/basic/designB5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 52 / 180 )
data/basic/designC0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xsize" for ibody=1
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ysize" for ibody=1
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zsize" for ibody=1
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.082s
user 0m0.075s
sys 0m0.014s
++++ set +x
data/basic/designC0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 53 / 180 )
data/basic/designC1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.113s
user 0m0.131s
sys 0m0.013s
++++ set +x
data/basic/designC1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 54 / 180 )
data/basic/designC1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 2.6789e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 3.1307e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 3.1025e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.1361e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 2.6789e-10)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 3.1336e-08)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(yend) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 3.1109e-08)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 3.1598e-08)
d(Node)/d(zend) check complete with 0 total errors (errmax= 3.1391e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.2343e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9081e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.112s
user 0m0.134s
sys 0m0.012s
++++ set +x
data/basic/designC1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 55 / 180 )
data/basic/designC2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.129s
user 0m0.147s
sys 0m0.013s
++++ set +x
data/basic/designC2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 56 / 180 )
data/basic/designC2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.125s
user 0m0.142s
sys 0m0.014s
++++ set +x
data/basic/designC2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 57 / 180 )
data/basic/designC3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.127s
user 0m0.146s
sys 0m0.011s
++++ set +x
data/basic/designC3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 58 / 180 )
data/basic/designC3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.128s
user 0m0.146s
sys 0m0.013s
++++ set +x
data/basic/designC3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 59 / 180 )
data/basic/designC4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 2.21875000 0.00000000 1.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 2.21875000 -0.00000000 0.94531250)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(xvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
d(Face)/d(yvrtx) check complete with 0 total errors (errmax= 2.8740e-08)
d(Edge)/d(yvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(yvrtx) check complete with 0 total errors (errmax= 2.5401e-16)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8381e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1086e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xbase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 2.21875000 0.00000000 1.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 7 (Z): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 2.21875000 -0.00000000 0.94531250)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xbase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(xbase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.8713e-08)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8220e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0869e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1115e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.09648562, fd= -0.09081000, err= -0.00567562 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.19204204, fd= -0.18074545, err= -0.01129659 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.28574898, fd= -0.26894022, err= -0.01680876 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.00781250 0.00019144 0.99805628)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.00781250 0.00038104 0.99808440)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.00781250 0.00056696 0.99813098)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.00781250 0.00074743 0.99819555)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.00781250 0.00092070 0.99827750)
iface= 2, ipnt= 192 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.00781250 0.00172250 0.99907930)
iface= 2, ipnt= 193 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.00781250 0.00180445 0.99925257)
iface= 2, ipnt= 194 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.00781250 0.00186902 0.99943304)
iface= 2, ipnt= 195 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.00781250 0.00191560 0.99961896)
iface= 2, ipnt= 196 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.00781250 0.00194372 0.99980856)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.00781250 0.00000000 1.00195312)
iedge= 2, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 2.01562500 0.00000000 1.00390625)
iedge= 2, ipnt= 3 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 2.12500000 0.00000000 1.03125000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at 2.00781250 -0.00000000 0.99804687)
iedge= 4, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.01562500 -0.00000000 0.99609375)
iedge= 4, ipnt= 3 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 2.12500000 -0.00000000 0.96875000)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.008 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.112s
user 0m0.102s
sys 0m0.015s
++++ set +x
data/basic/designC4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 60 / 180 )
data/basic/designC4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.103s
user 0m0.095s
sys 0m0.012s
++++ set +x
data/basic/designC4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 61 / 180 )
data/basic/designC5a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC5a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
d(Face)/d(xvrtx) check complete with 0 total errors (errmax= 2.8635e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(xvrtx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.00413284, fd= -0.00140692, err= 0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(yvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 2.21875000 0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 2.21875000 -0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(yvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(yvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8278e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.8713e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= -0.09417600, fd= -0.08863624, err= -0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(ybase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 2.21875000 0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 2.21875000 -0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(ybase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(ybase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8404e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0816e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.37670400, fd= 0.35454494, err= 0.02215906 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99980856 2.00781250 -0.00194372)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99961896 2.00781250 -0.00191560)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99943304 2.00781250 -0.00186902)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99925257 2.00781250 -0.00180445)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99907930 2.00781250 -0.00172250)
iface= 2, ipnt= 192 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99827750 2.00781250 -0.00092070)
iface= 2, ipnt= 193 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99819555 2.00781250 -0.00074743)
iface= 2, ipnt= 194 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99813098 2.00781250 -0.00056696)
iface= 2, ipnt= 195 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99808440 2.00781250 -0.00038104)
iface= 2, ipnt= 196 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99805628 2.00781250 -0.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (X): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.00781250 0.00195312)
iedge= 2, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 2.01562500 0.00390625)
iedge= 2, ipnt= 3 (Y): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Y): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Y): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 1.00000000 2.12500000 0.03125000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.00781250 -0.00195312)
iedge= 4, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.01562500 -0.00390625)
iedge= 4, ipnt= 3 (Y): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Y): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Y): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 1.00000000 2.12500000 -0.03125000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.008 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.102s
user 0m0.094s
sys 0m0.012s
++++ set +x
data/basic/designC5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 62 / 180 )
data/basic/designC5b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.118s
user 0m0.108s
sys 0m0.013s
++++ set +x
data/basic/designC5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 63 / 180 )
data/basic/designC6a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.010 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.115s
user 0m0.106s
sys 0m0.013s
++++ set +x
data/basic/designC6a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 64 / 180 )
data/basic/designC6b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.119s
user 0m0.109s
sys 0m0.013s
++++ set +x
data/basic/designC6b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 65 / 180 )
data/basic/designD0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.081s
user 0m0.072s
sys 0m0.013s
++++ set +x
data/basic/designD0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 66 / 180 )
data/basic/designD0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.119s
user 0m0.043s
sys 0m0.012s
++++ set +x
data/basic/designD0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 67 / 180 )
data/basic/designD0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.016 sec
Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions
real 0m0.378s
user 0m0.541s
sys 0m0.014s
++++ set +x
data/basic/designD0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 68 / 180 )
data/basic/designD1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.345s
user 0m0.350s
sys 0m0.016s
++++ set +x
data/basic/designD1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 69 / 180 )
data/basic/designD1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.066 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.555s
user 0m0.552s
sys 0m0.014s
++++ set +x
data/basic/designD1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 70 / 180 )
data/basic/designD1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.274 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions
real 0m1.874s
user 0m2.097s
sys 0m0.018s
++++ set +x
data/basic/designD1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 71 / 180 )
data/basic/designD2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.049 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.395s
user 0m0.402s
sys 0m0.016s
++++ set +x
data/basic/designD2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 72 / 180 )
data/basic/designD2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.056 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.505s
user 0m0.504s
sys 0m0.013s
++++ set +x
data/basic/designD2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 73 / 180 )
data/basic/designD2c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.271 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m1.890s
user 0m2.143s
sys 0m0.018s
++++ set +x
data/basic/designD2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 74 / 180 )
data/basic/designD3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.047 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.486s
user 0m0.483s
sys 0m0.016s
++++ set +x
data/basic/designD3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 75 / 180 )
data/basic/designD3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.077 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.899s
user 0m0.894s
sys 0m0.017s
++++ set +x
data/basic/designD3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 76 / 180 )
data/basic/designD3c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.501 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.044s
user 0m5.234s
sys 0m0.022s
++++ set +x
data/basic/designD3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 77 / 180 )
data/basic/designD4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.071 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.838s
user 0m0.835s
sys 0m0.023s
++++ set +x
data/basic/designD4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 78 / 180 )
data/basic/designD4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.157 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.615s
user 0m1.605s
sys 0m0.019s
++++ set +x
data/basic/designD4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 79 / 180 )
data/basic/designD4c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.708 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m5.072s
user 0m5.519s
sys 0m0.026s
++++ set +x
data/basic/designD4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 80 / 180 )
data/basic/designD5a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.054 sec
Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions
real 0m0.554s
user 0m0.558s
sys 0m0.017s
++++ set +x
data/basic/designD5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 81 / 180 )
data/basic/designD5b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.085 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m0.945s
user 0m0.942s
sys 0m0.014s
++++ set +x
data/basic/designD5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 82 / 180 )
data/basic/designD5c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.507 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.167s
user 0m5.384s
sys 0m0.025s
++++ set +x
data/basic/designD5c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 83 / 180 )
data/basic/designD6a0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.095 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m3.960s
user 0m3.805s
sys 0m0.029s
++++ set +x
data/basic/designD6a0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 84 / 180 )
data/basic/designD6a1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.100 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.896s
user 0m1.888s
sys 0m0.019s
++++ set +x
data/basic/designD6a1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 85 / 180 )
data/basic/designD6a2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.082 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.470s
user 0m1.466s
sys 0m0.017s
++++ set +x
data/basic/designD6a2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 86 / 180 )
data/basic/designD6b0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.105 sec
Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions
real 0m4.068s
user 0m4.000s
sys 0m0.022s
++++ set +x
data/basic/designD6b0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 87 / 180 )
data/basic/designD6b1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.119 sec
Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions
real 0m1.092s
user 0m1.083s
sys 0m0.014s
++++ set +x
data/basic/designD6b1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 88 / 180 )
data/basic/designD6b2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "thickness" for ibody=18
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.9205e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "camber" for ibody=18
iface= 1, ipnt= 144 (Y): anal= 0.34193964, fd= 0.34182267, err= 0.00011697 (at 1.32123871 0.32593157 3.48750000)
iface= 1, ipnt= 145 (Y): anal= 0.34436903, fd= 0.34425197, err= 0.00011706 (at 1.30563265 0.31541194 3.37500000)
iface= 1, ipnt= 146 (Y): anal= 0.34695628, fd= 0.34683897, err= 0.00011731 (at 1.28929744 0.30440075 3.26250000)
iface= 1, ipnt= 147 (Y): anal= 0.34969275, fd= 0.34957505, err= 0.00011771 (at 1.27231722 0.29295470 3.15000000)
iface= 1, ipnt= 148 (Y): anal= 0.35256932, fd= 0.35245107, err= 0.00011825 (at 1.25477612 0.28113052 3.03750000)
iface= 1, ipnt= 149 (Y): anal= 0.35557637, fd= 0.35545745, err= 0.00011892 (at 1.23675827 0.26898492 2.92500000)
iface= 1, ipnt= 150 (Y): anal= 0.35870376, fd= 0.35858404, err= 0.00011972 (at 1.21834779 0.25657461 2.81250000)
iface= 1, ipnt= 151 (Y): anal= 0.36194078, fd= 0.36182015, err= 0.00012063 (at 1.19962883 0.24395631 2.70000000)
iface= 1, ipnt= 152 (Y): anal= 0.36527615, fd= 0.36515451, err= 0.00012164 (at 1.18068552 0.23118674 2.58750000)
iface= 1, ipnt= 153 (Y): anal= 0.36869794, fd= 0.36857518, err= 0.00012275 (at 1.16160197 0.21832260 2.47500000)
...too many errors to list
iface= 2, ipnt= 144 (Y): anal= 0.34106093, fd= 0.34094422, err= 0.00011670 (at 0.71388013 0.28370593 3.48750000)
iface= 2, ipnt= 145 (Y): anal= 0.34339377, fd= 0.34327701, err= 0.00011676 (at 0.69315765 0.27282971 3.37500000)
iface= 2, ipnt= 146 (Y): anal= 0.34588912, fd= 0.34577214, err= 0.00011698 (at 0.67146701 0.26144543 3.26250000)
iface= 2, ipnt= 147 (Y): anal= 0.34853964, fd= 0.34842229, err= 0.00011735 (at 0.64891995 0.24961171 3.15000000)
iface= 2, ipnt= 148 (Y): anal= 0.35133744, fd= 0.35121957, err= 0.00011787 (at 0.62562815 0.23738719 3.03750000)
iface= 2, ipnt= 149 (Y): anal= 0.35427398, fd= 0.35415546, err= 0.00011852 (at 0.60170334 0.22483049 2.92500000)
iface= 2, ipnt= 150 (Y): anal= 0.35734015, fd= 0.35722085, err= 0.00011930 (at 0.57725722 0.21200023 2.81250000)
iface= 2, ipnt= 151 (Y): anal= 0.36052614, fd= 0.36040595, err= 0.00012019 (at 0.55240150 0.19895505 2.70000000)
iface= 2, ipnt= 152 (Y): anal= 0.36382146, fd= 0.36370027, err= 0.00012119 (at 0.52724790 0.18575356 2.58750000)
iface= 2, ipnt= 153 (Y): anal= 0.36721488, fd= 0.36709258, err= 0.00012229 (at 0.50190813 0.17245440 2.47500000)
...too many errors to list
d(Face)/d(camber) check complete with 252 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 4, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 5, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 5, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 6, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 6, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 8 total errors (errmax= 1.1843e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "croot" for ibody=18
d(Face)/d(croot) check complete with 0 total errors (errmax= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.1360e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "aspect" for ibody=18
d(Face)/d(aspect) check complete with 0 total errors (errmax= 2.4001e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "taper" for ibody=18
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8646e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9199e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "twist" for ibody=18
d(Face)/d(twist) check complete with 0 total errors (errmax= 7.3597e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.8351e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "lesweep" for ibody=18
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.6503e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2109e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.6548e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "dihedral" for ibody=18
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.1855e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 2.0547e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "rottip" for ibody=18
d(Face)/d(rottip) check complete with 0 total errors (errmax= 4.1308e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbase" for ibody=18
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.2658e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.1396e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybase" for ibody=18
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3697e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3071e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbase" for ibody=18
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.5404e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.096 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.121s
user 0m1.110s
sys 0m0.015s
++++ set +x
data/basic/designD6b2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 89 / 180 )
data/basic/designD6c0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.410 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions
real 0m8.880s
user 0m9.035s
sys 0m0.042s
++++ set +x
data/basic/designD6c0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 90 / 180 )
data/basic/designD6c1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.623 sec
Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions
real 0m3.186s
user 0m3.270s
sys 0m0.017s
++++ set +x
data/basic/designD6c1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 91 / 180 )
data/basic/designD6c2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.322 sec
Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions
real 0m2.723s
user 0m2.839s
sys 0m0.019s
++++ set +x
data/basic/designD6c2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 92 / 180 )
data/basic/designE1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m0.669s
user 0m0.767s
sys 0m0.032s
++++ set +x
data/basic/designE1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 93 / 180 )
data/basic/designE2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.037 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m1.431s
user 0m1.977s
sys 0m0.097s
++++ set +x
data/basic/designE2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 94 / 180 )
data/basic/designE3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.080 sec
Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions
real 0m4.181s
user 0m4.894s
sys 0m0.108s
++++ set +x
data/basic/designE3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 95 / 180 )
data/basic/designE4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.076 sec
Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions
real 0m10.730s
user 0m12.330s
sys 0m0.082s
++++ set +x
data/basic/designE4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 96 / 180 )
data/basic/designE5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.152 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions
real 0m1.021s
user 0m1.203s
sys 0m0.099s
++++ set +x
data/basic/designE5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 97 / 180 )
data/basic/designE6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.143s
user 0m0.151s
sys 0m0.017s
++++ set +x
data/basic/designE6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 98 / 180 )
data/basic/designE7.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.031 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.371s
user 0m0.407s
sys 0m0.025s
++++ set +x
data/basic/designE7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 99 / 180 )
data/basic/designE8.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.014 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions
real 0m0.247s
user 0m0.288s
sys 0m0.021s
++++ set +x
data/basic/designE8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 100 / 180 )
data/basic/designE9.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.363s
user 0m0.388s
sys 0m0.029s
++++ set +x
data/basic/designE9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 101 / 180 )
data/basic/designEa.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.342s
user 0m0.374s
sys 0m0.023s
++++ set +x
data/basic/designEa -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 102 / 180 )
data/basic/designEb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.034 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.367s
user 0m0.389s
sys 0m0.027s
++++ set +x
data/basic/designEb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 103 / 180 )
data/basic/designF0bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.178 sec
Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m7.062s
user 0m7.079s
sys 0m0.020s
++++ set +x
data/basic/designF0bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 104 / 180 )
data/basic/designF1bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.202 sec
Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions
real 0m2.395s
user 0m2.394s
sys 0m0.019s
++++ set +x
data/basic/designF1bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 105 / 180 )
data/basic/designF1rr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.241 sec
Sensitivity checks complete with 408 total errors (max config err= 6.3184e-04) with 0 suppressions
real 0m6.871s
user 0m7.004s
sys 0m0.018s
++++ set +x
data/basic/designF1rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 106 / 180 )
data/basic/designF1rs.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.245 sec
Sensitivity checks complete with 479 total errors (max config err= 8.0559e-04) with 0 suppressions
real 0m6.729s
user 0m6.888s
sys 0m0.022s
++++ set +x
data/basic/designF1rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 107 / 180 )
data/basic/designF1sr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.259 sec
Sensitivity checks complete with 402 total errors (max config err= 8.1255e-04) with 0 suppressions
real 0m6.928s
user 0m7.074s
sys 0m0.020s
++++ set +x
data/basic/designF1sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 108 / 180 )
data/basic/designF1ss.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.227 sec
Sensitivity checks complete with 451 total errors (max config err= 8.9304e-04) with 0 suppressions
real 0m6.548s
user 0m6.705s
sys 0m0.020s
++++ set +x
data/basic/designF1ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 109 / 180 )
data/basic/designF2bb.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.169 sec
Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m2.036s
user 0m2.043s
sys 0m0.018s
++++ set +x
data/basic/designF2bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 110 / 180 )
data/basic/designF2rr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.181 sec
Sensitivity checks complete with 407 total errors (max config err= 6.2111e-04) with 0 suppressions
real 0m6.253s
user 0m6.350s
sys 0m0.020s
++++ set +x
data/basic/designF2rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 111 / 180 )
data/basic/designF2rs.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.188 sec
Sensitivity checks complete with 460 total errors (max config err= 6.0513e-04) with 0 suppressions
real 0m6.443s
user 0m6.553s
sys 0m0.020s
++++ set +x
data/basic/designF2rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 112 / 180 )
data/basic/designF2sr.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.206 sec
Sensitivity checks complete with 382 total errors (max config err= 6.4555e-04) with 0 suppressions
real 0m6.845s
user 0m6.964s
sys 0m0.022s
++++ set +x
data/basic/designF2sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 113 / 180 )
data/basic/designF2ss.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.208 sec
Sensitivity checks complete with 425 total errors (max config err= 6.0266e-04) with 0 suppressions
real 0m6.719s
user 0m6.920s
sys 0m0.021s
++++ set +x
data/basic/designF2ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 114 / 180 )
data/basic/designG0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.040 sec
Sensitivity checks complete with 2528 total errors (max config err= 7.6824e-04) with 0 suppressions
real 0m1.069s
user 0m1.260s
sys 0m0.020s
++++ set +x
data/basic/designG0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 115 / 180 )
data/basic/designG1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.370 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m3.756s
user 0m3.955s
sys 0m0.021s
++++ set +x
data/basic/designG1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 116 / 180 )
data/basic/designG2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.760 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m9.565s
user 0m9.985s
sys 0m0.028s
++++ set +x
data/basic/designG2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 117 / 180 )
data/basic/designG3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.415 sec
Sensitivity checks complete with 48458 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m3.943s
user 0m4.119s
sys 0m0.021s
++++ set +x
data/basic/designG3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 118 / 180 )
data/basic/designG4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.769 sec
Sensitivity checks complete with 96756 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m9.903s
user 0m10.342s
sys 0m0.030s
++++ set +x
data/basic/designG4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 119 / 180 )
data/basic/designG5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG5.csm
--> ocsmCheck() -> status=0 (success)
ERROR:: config error with .csen file
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "area" for ibody=12
d(Face)/d(area) check complete with 0 total errors (errmax= 6.7870e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2097e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382667, err= -0.07382667 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "aspect" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164396, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067513, err= -0.00029251 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519091, err= 0.00222998 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 5.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 5.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 5.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.70623919, err= -0.70623919 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.70623919, err= 0.70623919 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(aspect) check complete with 6 total errors (errmax= 7.0624e-01)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "taper" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946242 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02503914, fd= 0.00000000, err= 40.02503914 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982228, fd= -0.00000000, err= 3.46982228 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171575, fd= 0.00000000, err= -8.29171575 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80309022, fd= 0.00000000, err= 16.80309022 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78989086, fd= -0.00601805, err= 14.79590891 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02503914, fd= -0.00000000, err= -40.02503914 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85876550, fd= 0.00441846, err= -10.86318396 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452893, fd= -0.00174397, err= 1.60627289 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982228, fd= 0.00000000, err= -3.46982228 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626501, fd= 0.00084372, err= -0.77710873 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929079, fd= -0.00193702, err= -4.72735377 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171575, fd= -0.00000000, err= 8.29171575 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467003, fd= 0.00014117, err= 0.34452886 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457195, fd= -0.00742222, err= 9.51199417 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80309022, fd= -0.00000000, err= -16.80309022 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755684, fd= -0.00081805, err= 1.04837489 (at 4.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019574 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00860467, err= -0.00860467 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00860467, err= 0.00860467 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(taper) check complete with 6 total errors (errmax= 2.4364e+00)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "twist" for ibody=12
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 5.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003197, err= 0.00018694 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086816 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 5.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 5.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(twist) check complete with 4 total errors (errmax= 3.1823e-02)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "lesweep" for ibody=12
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024965, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300409 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016596 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1110e-05)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(lesweep) check complete with 2 total errors (errmax= 1.6471e-01)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dihedral" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736880, err= -0.00041753 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 5.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 4.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 4.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 5.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5552e-05)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(dihedral) check complete with 2 total errors (errmax= 1.2358e-01)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835807, err= 0.00835807 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220320, err= -0.00220320 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 5.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15050 total errors (errmax= 8.8575e-02)
iedge= 2, ipnt= 17 (X): anal= -0.29919256, fd= -0.29880654, err= -0.00038602 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 17 (Z): anal= 0.14797341, fd= 0.14778249, err= 0.00019092 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 18 (X): anal= -0.12349369, fd= -0.12272277, err= -0.00077092 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 18 (Z): anal= 0.01797595, fd= 0.01786373, err= 0.00011222 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 19 (X): anal= -0.03578710, fd= -0.03615783, err= 0.00037073 (at -0.00369714 0.00000000 0.01528693)
iedge= 5, ipnt= 1 (X): anal= -0.02575487, fd= -0.02622293, err= 0.00046806 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= -0.01935237, fd= -0.01970408, err= 0.00035171 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= -0.07246479, fd= -0.07189989, err= -0.00056490 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= -0.08657272, fd= -0.08589784, err= -0.00067488 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 3 (Z): anal= -0.28614142, fd= -0.28600370, err= -0.00013772 (at 0.04320575 -0.00000000 -0.03874276)
iedge= 5, ipnt= 10 (Z): anal= -1.85099094, fd= -1.85087984, err= -0.00011111 (at 1.39914476 0.00000000 0.07741770)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 7.7092e-04)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 5.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069084, err= -0.00069084 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 13998 total errors (errmax= 9.4679e-02)
iedge= 2, ipnt= 9 (Z): anal= 3.75909378, fd= 3.75892497, err= 0.00016881 (at 1.58372538 0.00000000 0.51730414)
iedge= 2, ipnt= 10 (Z): anal= 3.72128671, fd= 3.72149822, err= -0.00021151 (at 1.33283756 0.00000000 0.52170653)
iedge= 2, ipnt= 18 (X): anal= -0.11594716, fd= -0.11608667, err= 0.00013951 (at -0.00327219 0.00000000 0.03098919)
d(Edge)/d(camber_r) check complete with 3 total errors (errmax= 2.1151e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325729, err= -0.00859585 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559012 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302082 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562084, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16486 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at -0.00327219 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64506243.15297928, fd= -0.00000000, err=-64506243.15297928 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487834.85049411, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179552.04204761, fd= 0.06926993, err=-7179552.11131755 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164215055.29622802, fd= -0.00000000, err=-164215055.29622802 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13959127.81631415, fd= 0.13468081, err=-13959127.95099496 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17582592.02699362, fd= 0.09658210, err=-17582592.12357571 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409292243.24453133, fd= -0.00000000, err=-409292243.24453133 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34835191.33759494, fd= 0.19135153, err=-34835191.52894647 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99015688.57684021, fd= 0.12220877, err=-99015688.69904898 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00014982, err= -0.00014982 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00011258, err= -0.00011258 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= -0.00016347, err= 0.00016347 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00019530, err= 0.00019530 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011773, err= 0.00011773 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.07650500, fd= 0.00000000, err=226586.07650500 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442626.99656420, fd= 0.00000000, err=2442626.99656420 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760595.22268066, fd= -0.00000000, err=2760595.22268066 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555866 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2878326.36174286, fd= 0.04015703, err=-2878326.40189989 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64506243.15297928, fd= 0.00000000, err=64506243.15297928 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487834.85049412, fd= 0.07656365, err=-5487834.92705776 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179552.04204762, fd= 0.06926993, err=-7179552.11131756 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164215055.29622802, fd= 0.00000000, err=164215055.29622802 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13959127.81631416, fd= 0.13468081, err=-13959127.95099497 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17582592.02699365, fd= 0.09658210, err=-17582592.12357575 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409292243.24453133, fd= 0.00000000, err=409292243.24453133 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34835191.33759497, fd= 0.19135153, err=-34835191.52894650 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99015688.57684033, fd= 0.12220877, err=-99015688.69904910 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.29441537, fd= -0.01438915, err=129183.30880452 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.07650500, fd= -0.00000000, err=-226586.07650500 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.85986794, fd= 0.00104868, err=-9414.86091662 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382736.63227570, fd= -0.05436935, err=1382736.68664505 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442626.99656420, fd= -0.00000000, err=-2442626.99656420 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.83728956, fd= -0.00599238, err=152399.84328193 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329394.32754126, fd= -0.16122395, err=1329394.48876521 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760595.22268066, fd= 0.00000000, err=-2760595.22268066 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.11652881, fd= -0.06948560, err=572953.18601441 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18056900, fd= -0.30037669, err=17337.48094570 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555866 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910943 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0025e+11)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.03786517, err= -0.03786517 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.03786517, err= 0.03786517 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(thick_t) check complete with 6 total errors (errmax= 3.7865e-02)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475701, err= -0.01172587 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 1.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225907 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16134 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6049478.03590256, fd= 0.09394856, err=-6049478.12985112 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135575001.82579345, fd= 0.00000000, err=-135575001.82579345 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11533972.25345311, fd= 0.17912290, err=-11533972.43257601 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18148657.35685206, fd= 0.17844379, err=-18148657.53529585 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415107064.41045517, fd= 0.00000000, err=-415107064.41045517 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35286244.35829501, fd= 0.34694638, err=-35286244.70524139 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47278897.44212347, fd= 0.25534340, err=-47278897.69746687 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100570721.35445690, fd= 0.00000000, err=-1100570721.35445690 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93670457.46715811, fd= 0.50589448, err=-93670457.97305259 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273094431.28390968, fd= 0.32501459, err=-273094431.60892427 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.15529484, fd= -0.00000000, err=168711.15529484 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571590.00835048, fd= 0.00000000, err=-1571590.00835048 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434398.99485862, fd= -0.00000000, err=-4434398.99485862 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329393, err= 0.06566783 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6049478.03590257, fd= 0.09394856, err=-6049478.12985113 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135575001.82579345, fd= -0.00000000, err=135575001.82579345 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11533972.25345312, fd= 0.17912290, err=-11533972.43257602 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18148657.35685208, fd= 0.17844379, err=-18148657.53529587 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415107064.41045517, fd= -0.00000000, err=415107064.41045517 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35286244.35829505, fd= 0.34694638, err=-35286244.70524143 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47278897.44212357, fd= 0.25534340, err=-47278897.69746697 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100570721.35445690, fd= -0.00000000, err=1100570721.35445690 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93670457.46715821, fd= 0.50589448, err=-93670457.97305270 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273094431.28390998, fd= 0.32501459, err=-273094431.60892457 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21015584, fd= 0.07630210, err=96187.13385374 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.15529484, fd= 0.00000000, err=-168711.15529484 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11000535, fd= -0.00556089, err=-7010.10444446 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889654.78588074, fd= 0.14871645, err=-889654.93459719 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571590.00835048, fd= -0.00000000, err=1571590.00835048 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.27978642, fd= 0.01639095, err=-98054.29617737 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135432.54167666, fd= 0.25789372, err=-2135432.79957038 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434398.99485862, fd= 0.00000000, err=4434398.99485862 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920345.98353792, fd= 0.11114912, err=-920346.09468704 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73480803, fd= 0.37399057, err=-47260.10879860 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329393, err= -0.06566783 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2114e+11)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
*********************************************************
Starting configuration sensitivity wrt "tiprad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "tiprad" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
iedge= 9, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.00000000, fd= 0.00051767, err= -0.00051767 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.00000000, fd= 0.00208329, err= -0.00208329 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161775 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Y): anal= -0.00000000, fd= 0.00323164, err= -0.00323164 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 7.07849533 -0.36424482)
iedge= 11, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= 0.00000000, fd= 0.00318152, err= -0.00318152 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= 0.00000000, fd= 0.00206599, err= -0.00206599 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 7.07396588 -0.36829084)
iedge= 18, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.00000000, fd= -0.00051767, err= 0.00051767 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.00000000, fd= -0.00208329, err= 0.00208329 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161775 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Y): anal= 0.00000000, fd= -0.00323164, err= 0.00323164 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 20, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= -0.00000000, fd= -0.00318152, err= 0.00318152 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= -0.00000000, fd= -0.00206599, err= 0.00206599 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-03)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00378652, err= -0.00378652 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00378652, err= 0.00378652 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(tiprad) check complete with 6 total errors (errmax= 3.7865e-03)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.407 sec
Sensitivity checks complete with 80040 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m15.342s
user 0m15.595s
sys 0m0.030s
++++ set +x
data/basic/designG5 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 120 / 180 )
data/basic/designG6.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.651 sec
Sensitivity checks complete with 160081 total errors (max config err= 2.2114e+11) with 0 suppressions
real 0m40.606s
user 0m40.712s
sys 0m0.126s
++++ set +x
data/basic/designG6 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 121 / 180 )
data/basic/designH1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.014 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.124s
user 0m0.124s
sys 0m0.015s
++++ set +x
data/basic/designH1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 122 / 180 )
data/basic/designH2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions
real 0m0.342s
user 0m0.278s
sys 0m0.020s
++++ set +x
data/basic/designH2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 123 / 180 )
data/basic/designH3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.008 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 21 suppressions
real 0m0.110s
user 0m0.114s
sys 0m0.017s
++++ set +x
data/basic/designH3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 124 / 180 )
data/basic/designH4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.010 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 20 suppressions
real 0m0.204s
user 0m0.267s
sys 0m0.018s
++++ set +x
data/basic/designH4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 125 / 180 )
data/basic/designI1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 3.9926e-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= 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= 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= 8.4305e-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 -> 0.018 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5888e-09) with 0 suppressions
real 0m0.345s
user 0m0.395s
sys 0m0.046s
++++ set +x
data/basic/designI1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 126 / 180 )
data/basic/designI2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m0.328s
user 0m0.377s
sys 0m0.052s
++++ set +x
data/basic/designI2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 127 / 180 )
data/basic/designI3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "XSIZE" for ibody=5
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.1102e-09)
*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "YSIZE" for ibody=5
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ZSIZE" for ibody=5
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DX" for ibody=5
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.2978e-09)
*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "RAD" for ibody=5
d(Face)/d(RAD) check complete with 0 total errors (errmax= 3.9926e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "SCALE" for ibody=5
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions
real 0m0.346s
user 0m0.395s
sys 0m0.048s
++++ set +x
data/basic/designI3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 128 / 180 )
data/basic/designI4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 3.9926e-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= 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 -> 0.056 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m2.062s
user 0m2.341s
sys 0m0.227s
++++ set +x
data/basic/designI4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 129 / 180 )
data/basic/designJ1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.079s
user 0m0.073s
sys 0m0.011s
++++ set +x
data/basic/designJ1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 130 / 180 )
data/basic/designJ1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1721e-10) with 0 suppressions
real 0m0.076s
user 0m0.070s
sys 0m0.011s
++++ set +x
data/basic/designJ1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 131 / 180 )
data/basic/designJ1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.053s
user 0m0.038s
sys 0m0.012s
++++ set +x
data/basic/designJ1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 132 / 180 )
data/basic/designJ1d.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.042s
user 0m0.027s
sys 0m0.013s
++++ set +x
data/basic/designJ1d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 133 / 180 )
data/basic/designJ2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.049 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.267s
user 0m0.286s
sys 0m0.013s
++++ set +x
data/basic/designJ2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 134 / 180 )
data/basic/designJ2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.095 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.341s
user 0m0.356s
sys 0m0.017s
++++ set +x
data/basic/designJ2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 135 / 180 )
data/basic/designJ3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.224s
user 0m0.242s
sys 0m0.016s
++++ set +x
data/basic/designJ3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 136 / 180 )
data/basic/designJ3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.100 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.365s
user 0m0.391s
sys 0m0.015s
++++ set +x
data/basic/designJ3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 137 / 180 )
data/basic/designJ4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.095 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.519s
user 0m0.515s
sys 0m0.019s
++++ set +x
data/basic/designJ4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 138 / 180 )
data/basic/designJ4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.091 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions
real 0m1.244s
user 0m1.437s
sys 0m0.014s
++++ set +x
data/basic/designJ4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 139 / 180 )
data/basic/designJ5.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m1.735s
user 0m1.737s
sys 0m0.033s
++++ set +x
data/basic/designJ5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 140 / 180 )
data/basic/designK0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.312 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m3.299s
user 0m4.026s
sys 0m0.285s
++++ set +x
data/basic/designK0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 141 / 180 )
data/basic/designK1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.383 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m4.808s
user 0m5.465s
sys 0m0.291s
++++ set +x
data/basic/designK1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 142 / 180 )
data/basic/designK2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.665 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m29.258s
user 0m29.456s
sys 0m0.462s
++++ set +x
data/basic/designK2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 143 / 180 )
data/basic/designL00.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-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 -> 0.022 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.518s
user 0m0.697s
sys 0m0.053s
++++ set +x
data/basic/designL00 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 144 / 180 )
data/basic/designL01.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-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 0m0.504s
user 0m0.679s
sys 0m0.054s
++++ set +x
data/basic/designL01 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 145 / 180 )
data/basic/designL10.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-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 -> 0.026 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.504s
user 0m0.684s
sys 0m0.050s
++++ set +x
data/basic/designL10 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 146 / 180 )
data/basic/designL11.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.218 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m0.996s
user 0m1.217s
sys 0m0.055s
++++ set +x
data/basic/designL11 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 147 / 180 )
data/basic/designL12.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.229 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.035s
user 0m1.231s
sys 0m0.051s
++++ set +x
data/basic/designL12 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 148 / 180 )
data/basic/designL20.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL20.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.398 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.533s
user 0m0.736s
sys 0m0.055s
++++ set +x
data/basic/designL20 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 149 / 180 )
data/basic/designL21.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL21.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.629 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.845s
user 0m1.095s
sys 0m0.056s
++++ set +x
data/basic/designL21 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 150 / 180 )
data/basic/designL22.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL22.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.588 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.768s
user 0m0.982s
sys 0m0.053s
++++ set +x
data/basic/designL22 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 151 / 180 )
data/basic/designL30.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-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 0m0.507s
user 0m0.695s
sys 0m0.057s
++++ set +x
data/basic/designL30 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 152 / 180 )
data/basic/designL31.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 9.3506e-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 -> 0.180 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.334s
user 0m2.959s
sys 0m0.304s
++++ set +x
data/basic/designL31 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 153 / 180 )
data/basic/designL32.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 9.3506e-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 -> 0.181 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.284s
user 0m2.811s
sys 0m0.291s
++++ set +x
data/basic/designL32 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 154 / 180 )
data/basic/designL33.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 9.3506e-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 -> 0.146 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.212s
user 0m2.801s
sys 0m0.346s
++++ set +x
data/basic/designL33 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 155 / 180 )
data/basic/designL34.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 9.3506e-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 -> 0.173 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m2.343s
user 0m2.938s
sys 0m0.308s
++++ set +x
data/basic/designL34 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 156 / 180 )
data/basic/designL40.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-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 -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.531s
user 0m0.715s
sys 0m0.054s
++++ set +x
data/basic/designL40 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 157 / 180 )
data/basic/designL41.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.178 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m3.043s
user 0m3.704s
sys 0m0.301s
++++ set +x
data/basic/designL41 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 158 / 180 )
data/basic/designL42.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.266 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m2.894s
user 0m3.509s
sys 0m0.303s
++++ set +x
data/basic/designL42 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 159 / 180 )
data/basic/designM0.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.048 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.348s
user 0m0.355s
sys 0m0.019s
++++ set +x
data/basic/designM0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 160 / 180 )
data/basic/designM1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.331s
user 0m0.343s
sys 0m0.024s
++++ set +x
data/basic/designM1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 161 / 180 )
data/basic/designM2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.439s
user 0m0.450s
sys 0m0.024s
++++ set +x
data/basic/designM2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 162 / 180 )
data/basic/designM3.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.262 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.302s
user 0m1.426s
sys 0m0.061s
++++ set +x
data/basic/designM3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 163 / 180 )
data/basic/designM4.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.317 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.415s
user 0m1.535s
sys 0m0.057s
++++ set +x
data/basic/designM4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 164 / 180 )
data/basic/designN1.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.048s
user 0m0.038s
sys 0m0.012s
++++ set +x
data/basic/designN1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 165 / 180 )
data/basic/designN2.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.164s
user 0m0.237s
sys 0m0.012s
++++ set +x
data/basic/designN2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 166 / 180 )
data/basic/designP0a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 7.8933e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 8.2957e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 1.5628e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.0576e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 3.9525e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0906e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 8.3185e-10)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.0598e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 8.9965e-10)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 9.7311e-10)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.000 sec
Sensitivity checks complete with 0 total errors (max config err= 2.1462e-09) with 0 suppressions
real 0m0.051s
user 0m0.038s
sys 0m0.011s
++++ set +x
data/basic/designP0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 167 / 180 )
data/basic/designP0b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.132s
user 0m0.117s
sys 0m0.013s
++++ set +x
data/basic/designP0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 168 / 180 )
data/basic/designP0c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions
real 0m0.107s
user 0m0.092s
sys 0m0.013s
++++ set +x
data/basic/designP0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 169 / 180 )
data/basic/designP1a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.178 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions
real 0m0.832s
user 0m0.818s
sys 0m0.019s
++++ set +x
data/basic/designP1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 170 / 180 )
data/basic/designP1b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.216 sec
Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions
real 0m0.884s
user 0m0.891s
sys 0m0.019s
++++ set +x
data/basic/designP1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 171 / 180 )
data/basic/designP1c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.153 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions
real 0m3.073s
user 0m3.070s
sys 0m0.015s
++++ set +x
data/basic/designP1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 172 / 180 )
data/basic/designP2a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.129 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions
real 0m0.754s
user 0m0.745s
sys 0m0.016s
++++ set +x
data/basic/designP2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 173 / 180 )
data/basic/designP2b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.390 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions
real 0m1.339s
user 0m1.351s
sys 0m0.019s
++++ set +x
data/basic/designP2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 174 / 180 )
data/basic/designP2c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.354 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions
real 0m3.751s
user 0m3.748s
sys 0m0.021s
++++ set +x
data/basic/designP2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 175 / 180 )
data/basic/designP3a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.674 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.806s
user 0m0.753s
sys 0m0.031s
++++ set +x
data/basic/designP3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 176 / 180 )
data/basic/designP3b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.645 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.731s
user 0m0.730s
sys 0m0.020s
++++ set +x
data/basic/designP3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 177 / 180 )
data/basic/designP3c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/DARWIN64/ESP/DARWIN64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.419 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.627s
user 0m2.622s
sys 0m0.020s
++++ set +x
data/basic/designP3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 178 / 180 )
data/basic/designP4a.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 7.2984e-07) with 0 suppressions
real 0m0.800s
user 0m0.792s
sys 0m0.024s
++++ set +x
data/basic/designP4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 179 / 180 )
data/basic/designP4b.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.398 sec
Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m4.554s
user 0m4.560s
sys 0m0.028s
++++ set +x
data/basic/designP4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 180 / 180 )
data/basic/designP4c.csm;
++++ /Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.269 sec
Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m4.789s
user 0m4.790s
sys 0m0.024s
++++ set +x
data/basic/designP4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
================================ Found errors ================================
==================================================================================================
[Execution node] check if [macys] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
[GNU C Compiler (gcc)] Sleeping for 5 seconds due to JENKINS-32191...
[GNU C Compiler (gcc)] Parsing console log (workspace: '/Users/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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 (7.4,DARWIN64,macys)
[Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.4,ESP_ARCH=DARWIN64,buildnode=macys #165' to compute new, fixed, and outstanding issues
[Static Analysis] Issues delta (vs. reference build): outstanding: 0, new: 0, fixed: 0
[Static Analysis] Evaluating quality gates
[Static Analysis] -> PASSED - Total (any severity): 0 - Quality QualityGate: 1
[Static Analysis] -> All quality gates have been passed
[Static Analysis] Health report is disabled - skipping
[Static Analysis] Created analysis result for 0 issues (found 0 new issues, fixed 0 issues)
[Static Analysis] Attaching ResultAction with ID 'analysis' to build 'ESP_QuickTestOcsm/CASREV=7.4,ESP_ARCH=DARWIN64,buildnode=macys #166'.
[Checks API] No suitable checks publisher found.
[PostBuildScript] - [INFO] Executing post build scripts.
[PostBuildScript] - [INFO] build step #0 should only be executed on MATRIX
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] done
Finished: SUCCESS