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